Decoding of a dataset after GLM fit for signal extraction

Full step-by-step example of fitting a GLM to perform a decoding experiment. In this decoding analysis, we will be doing a one-vs-all classification. We use the data from one subject of the Haxby dataset.

More specifically:

1. Download the Haxby dataset.

2. Extract the information to generate a glm representing the blocks of stimuli.

3. Analyze the decoding performance using a classifier.

Fetch example Haxby dataset

We download the Haxby dataset This is a study of visual object category representation

# By default 2nd subject will be fetched
import numpy as np
import pandas as pd

from nilearn.datasets import fetch_haxby

haxby_dataset = fetch_haxby()

[fetch_haxby] Dataset directory found: /home/runner/nilearn_data/haxby2001

Load the behavioral data

# Load target information as string and give a numerical identifier to each
behavioral = pd.read_csv(haxby_dataset.session_target[0], sep=" ")
conditions = behavioral["labels"].to_numpy()

# Record these as an array of runs
runs = behavioral["chunks"].to_numpy()
unique_runs = behavioral["chunks"].unique()

# fMRI data: a unique file for each run
func_filename = haxby_dataset.func[0]

Build a proper event structure for each run

events = {}
# events will take the form of a dictionary of Dataframes, one per run
for run in unique_runs:
    # get the condition label per run
    conditions_run = conditions[runs == run]
    # get the number of scans per run, then the corresponding
    # vector of frame times
    n_scans = len(conditions_run)
    frame_times = haxby_dataset.t_r * np.arange(n_scans)
    # each event last the full TR
    duration = haxby_dataset.t_r * np.ones(n_scans)
    # Define the events object
    events_ = pd.DataFrame(
        {
            "onset": frame_times,
            "trial_type": conditions_run,
            "duration": duration,
        }
    )
    # remove the rest condition and insert into the dictionary
    events[run] = events_[events_.trial_type != "rest"]

Instantiate and run FirstLevelModel

We generate a list of z-maps together with their run and condition index

z_maps = []
conditions_label = []
run_label = []

# Instantiate the glm
from nilearn.glm.first_level import FirstLevelModel

glm = FirstLevelModel(
    t_r=haxby_dataset.t_r,
    mask_img=haxby_dataset.mask,
    high_pass=0.008,
    smoothing_fwhm=4,
    memory="nilearn_cache",
    memory_level=1,
    verbose=1,
)

Run the GLM on data from each run

events[run].trial_type.unique()
from nilearn.image import index_img

for run in unique_runs:
    # grab the fmri data for that particular run
    fmri_run = index_img(func_filename, runs == run)

    # fit the GLM
    glm.fit(fmri_run, events=events[run])

    # set up contrasts: one per condition
    conditions = events[run].trial_type.unique()
    for condition_ in conditions:
        z_maps.append(glm.compute_contrast(condition_))
        conditions_label.append(condition_)
        run_label.append(run)

/home/runner/work/nilearn/nilearn/examples/02_decoding/plot_haxby_glm_decoding.py:107: RuntimeWarning:

[MultiNiftiMasker.fit] Generation of a mask has been requested (imgs != None) while a mask was given at masker creation. Given mask will be used.

\[FirstLevelModel.fit] Computing run 1 out of 1 runs (go take a coffee, a big
one).
\[FirstLevelModel.fit] Performing mask computation.
\[FirstLevelModel.fit] Masking took 1 seconds.
\[FirstLevelModel.fit] Performing GLM computation.
________________________________________________________________________________
[Memory] Calling nilearn.glm.first_level.first_level.run_glm...
run_glm(array([[-0.40083 , ..., -5.653021],
       ...,
       [ 2.197409, ...,  2.209227]]),
array([[0., ..., 1.],
       ...,
       [0., ..., 1.]]), noise_model='ar1', bins=100, n_jobs=1, random_state=None)
__________________________________________________________run_glm - 1.1s, 0.0min
\[FirstLevelModel.fit] GLM took 1 seconds.
\[FirstLevelModel.fit] Computation of 1 runs done in 00 HR 00 MIN 02 SEC.
/home/runner/work/nilearn/nilearn/examples/02_decoding/plot_haxby_glm_decoding.py:107: RuntimeWarning:

[MultiNiftiMasker.fit] Generation of a mask has been requested (imgs != None) while a mask was given at masker creation. Given mask will be used.

\[FirstLevelModel.fit] Computing run 1 out of 1 runs (go take a coffee, a big
one).
\[FirstLevelModel.fit] Performing mask computation.
\[FirstLevelModel.fit] Masking took 0 seconds.
\[FirstLevelModel.fit] Performing GLM computation.
________________________________________________________________________________
[Memory] Calling nilearn.glm.first_level.first_level.run_glm...
run_glm(array([[ 12.497474, ..., -12.318841],
       ...,
       [ -2.991309, ..., -31.803543]]),
array([[0., ..., 1.],
       ...,
       [0., ..., 1.]]), noise_model='ar1', bins=100, n_jobs=1, random_state=None)
__________________________________________________________run_glm - 0.9s, 0.0min
\[FirstLevelModel.fit] GLM took 1 seconds.
\[FirstLevelModel.fit] Computation of 1 runs done in 00 HR 00 MIN 02 SEC.
/home/runner/work/nilearn/nilearn/examples/02_decoding/plot_haxby_glm_decoding.py:107: RuntimeWarning:

[MultiNiftiMasker.fit] Generation of a mask has been requested (imgs != None) while a mask was given at masker creation. Given mask will be used.

\[FirstLevelModel.fit] Computing run 1 out of 1 runs (go take a coffee, a big
one).
\[FirstLevelModel.fit] Performing mask computation.
\[FirstLevelModel.fit] Masking took 0 seconds.
\[FirstLevelModel.fit] Performing GLM computation.
________________________________________________________________________________
[Memory] Calling nilearn.glm.first_level.first_level.run_glm...
run_glm(array([[ 5.217391, ..., 27.145359],
       ...,
       [-7.266028, ..., 16.549912]]),
array([[0., ..., 1.],
       ...,
       [0., ..., 1.]]), noise_model='ar1', bins=100, n_jobs=1, random_state=None)
__________________________________________________________run_glm - 0.9s, 0.0min
\[FirstLevelModel.fit] GLM took 1 seconds.
\[FirstLevelModel.fit] Computation of 1 runs done in 00 HR 00 MIN 02 SEC.
/home/runner/work/nilearn/nilearn/examples/02_decoding/plot_haxby_glm_decoding.py:107: RuntimeWarning:

[MultiNiftiMasker.fit] Generation of a mask has been requested (imgs != None) while a mask was given at masker creation. Given mask will be used.

\[FirstLevelModel.fit] Computing run 1 out of 1 runs (go take a coffee, a big
one).
\[FirstLevelModel.fit] Performing mask computation.
\[FirstLevelModel.fit] Masking took 0 seconds.
\[FirstLevelModel.fit] Performing GLM computation.
________________________________________________________________________________
[Memory] Calling nilearn.glm.first_level.first_level.run_glm...
run_glm(array([[-2.037085, ...,  8.557626],
       ...,
       [ 2.176373, ...,  0.207039]]),
array([[0., ..., 1.],
       ...,
       [0., ..., 1.]]), noise_model='ar1', bins=100, n_jobs=1, random_state=None)
__________________________________________________________run_glm - 0.9s, 0.0min
\[FirstLevelModel.fit] GLM took 1 seconds.
\[FirstLevelModel.fit] Computation of 1 runs done in 00 HR 00 MIN 02 SEC.
/home/runner/work/nilearn/nilearn/examples/02_decoding/plot_haxby_glm_decoding.py:107: RuntimeWarning:

[MultiNiftiMasker.fit] Generation of a mask has been requested (imgs != None) while a mask was given at masker creation. Given mask will be used.

\[FirstLevelModel.fit] Computing run 1 out of 1 runs (go take a coffee, a big
one).
\[FirstLevelModel.fit] Performing mask computation.
\[FirstLevelModel.fit] Masking took 0 seconds.
\[FirstLevelModel.fit] Performing GLM computation.
________________________________________________________________________________
[Memory] Calling nilearn.glm.first_level.first_level.run_glm...
run_glm(array([[ 53.922261, ..., -55.983994],
       ...,
       [-51.542992, ..., -55.983994]]),
array([[0., ..., 1.],
       ...,
       [0., ..., 1.]]), noise_model='ar1', bins=100, n_jobs=1, random_state=None)
__________________________________________________________run_glm - 0.9s, 0.0min
\[FirstLevelModel.fit] GLM took 1 seconds.
\[FirstLevelModel.fit] Computation of 1 runs done in 00 HR 00 MIN 02 SEC.
/home/runner/work/nilearn/nilearn/examples/02_decoding/plot_haxby_glm_decoding.py:107: RuntimeWarning:

[MultiNiftiMasker.fit] Generation of a mask has been requested (imgs != None) while a mask was given at masker creation. Given mask will be used.

\[FirstLevelModel.fit] Computing run 1 out of 1 runs (go take a coffee, a big
one).
\[FirstLevelModel.fit] Performing mask computation.
\[FirstLevelModel.fit] Masking took 0 seconds.
\[FirstLevelModel.fit] Performing GLM computation.
________________________________________________________________________________
[Memory] Calling nilearn.glm.first_level.first_level.run_glm...
run_glm(array([[-27.429882, ...,  -6.97419 ],
       ...,
       [-29.564297, ...,   8.530112]]),
array([[0., ..., 1.],
       ...,
       [0., ..., 1.]]), noise_model='ar1', bins=100, n_jobs=1, random_state=None)
__________________________________________________________run_glm - 0.9s, 0.0min
\[FirstLevelModel.fit] GLM took 1 seconds.
\[FirstLevelModel.fit] Computation of 1 runs done in 00 HR 00 MIN 02 SEC.
/home/runner/work/nilearn/nilearn/examples/02_decoding/plot_haxby_glm_decoding.py:107: RuntimeWarning:

[MultiNiftiMasker.fit] Generation of a mask has been requested (imgs != None) while a mask was given at masker creation. Given mask will be used.

\[FirstLevelModel.fit] Computing run 1 out of 1 runs (go take a coffee, a big
one).
\[FirstLevelModel.fit] Performing mask computation.
\[FirstLevelModel.fit] Masking took 0 seconds.
\[FirstLevelModel.fit] Performing GLM computation.
________________________________________________________________________________
[Memory] Calling nilearn.glm.first_level.first_level.run_glm...
run_glm(array([[131.225859, ..., -14.962086],
       ...,
       [-18.824964, ...,  23.081191]]),
array([[0., ..., 1.],
       ...,
       [0., ..., 1.]]), noise_model='ar1', bins=100, n_jobs=1, random_state=None)
__________________________________________________________run_glm - 0.9s, 0.0min
\[FirstLevelModel.fit] GLM took 1 seconds.
\[FirstLevelModel.fit] Computation of 1 runs done in 00 HR 00 MIN 02 SEC.
/home/runner/work/nilearn/nilearn/examples/02_decoding/plot_haxby_glm_decoding.py:107: RuntimeWarning:

[MultiNiftiMasker.fit] Generation of a mask has been requested (imgs != None) while a mask was given at masker creation. Given mask will be used.

\[FirstLevelModel.fit] Computing run 1 out of 1 runs (go take a coffee, a big
one).
\[FirstLevelModel.fit] Performing mask computation.
\[FirstLevelModel.fit] Masking took 0 seconds.
\[FirstLevelModel.fit] Performing GLM computation.
________________________________________________________________________________
[Memory] Calling nilearn.glm.first_level.first_level.run_glm...
run_glm(array([[-16.497736, ...,  21.827508],
       ...,
       [-16.497736, ...,   3.43845 ]]),
array([[ 0.      , ...,  1.      ],
       ...,
       [-0.352245, ...,  1.      ]]), noise_model='ar1', bins=100, n_jobs=1, random_state=None)
__________________________________________________________run_glm - 0.9s, 0.0min
\[FirstLevelModel.fit] GLM took 1 seconds.
\[FirstLevelModel.fit] Computation of 1 runs done in 00 HR 00 MIN 02 SEC.
/home/runner/work/nilearn/nilearn/examples/02_decoding/plot_haxby_glm_decoding.py:107: RuntimeWarning:

[MultiNiftiMasker.fit] Generation of a mask has been requested (imgs != None) while a mask was given at masker creation. Given mask will be used.

\[FirstLevelModel.fit] Computing run 1 out of 1 runs (go take a coffee, a big
one).
\[FirstLevelModel.fit] Performing mask computation.
\[FirstLevelModel.fit] Masking took 0 seconds.
\[FirstLevelModel.fit] Performing GLM computation.
________________________________________________________________________________
[Memory] Calling nilearn.glm.first_level.first_level.run_glm...
run_glm(array([[ 0.807877, ..., 18.500712],
       ...,
       [-5.301691, ...,  1.264245]]),
array([[ 0.      , ...,  1.      ],
       ...,
       [-0.352245, ...,  1.      ]]), noise_model='ar1', bins=100, n_jobs=1, random_state=None)
__________________________________________________________run_glm - 0.9s, 0.0min
\[FirstLevelModel.fit] GLM took 1 seconds.
\[FirstLevelModel.fit] Computation of 1 runs done in 00 HR 00 MIN 02 SEC.
/home/runner/work/nilearn/nilearn/examples/02_decoding/plot_haxby_glm_decoding.py:107: RuntimeWarning:

[MultiNiftiMasker.fit] Generation of a mask has been requested (imgs != None) while a mask was given at masker creation. Given mask will be used.

\[FirstLevelModel.fit] Computing run 1 out of 1 runs (go take a coffee, a big
one).
\[FirstLevelModel.fit] Performing mask computation.
\[FirstLevelModel.fit] Masking took 0 seconds.
\[FirstLevelModel.fit] Performing GLM computation.
________________________________________________________________________________
[Memory] Calling nilearn.glm.first_level.first_level.run_glm...
run_glm(array([[-4.917617, ..., -6.888138],
       ...,
       [-7.984791, ..., 15.822072]]),
array([[0., ..., 1.],
       ...,
       [0., ..., 1.]]), noise_model='ar1', bins=100, n_jobs=1, random_state=None)
__________________________________________________________run_glm - 0.9s, 0.0min
\[FirstLevelModel.fit] GLM took 1 seconds.
\[FirstLevelModel.fit] Computation of 1 runs done in 00 HR 00 MIN 02 SEC.
/home/runner/work/nilearn/nilearn/examples/02_decoding/plot_haxby_glm_decoding.py:107: RuntimeWarning:

[MultiNiftiMasker.fit] Generation of a mask has been requested (imgs != None) while a mask was given at masker creation. Given mask will be used.

\[FirstLevelModel.fit] Computing run 1 out of 1 runs (go take a coffee, a big
one).
\[FirstLevelModel.fit] Performing mask computation.
\[FirstLevelModel.fit] Masking took 0 seconds.
\[FirstLevelModel.fit] Performing GLM computation.
________________________________________________________________________________
[Memory] Calling nilearn.glm.first_level.first_level.run_glm...
run_glm(array([[-18.894009, ...,  -5.788761],
       ...,
       [-23.963134, ...,   2.403521]]),
array([[0., ..., 1.],
       ...,
       [0., ..., 1.]]), noise_model='ar1', bins=100, n_jobs=1, random_state=None)
__________________________________________________________run_glm - 0.9s, 0.0min
\[FirstLevelModel.fit] GLM took 1 seconds.
\[FirstLevelModel.fit] Computation of 1 runs done in 00 HR 00 MIN 02 SEC.
/home/runner/work/nilearn/nilearn/examples/02_decoding/plot_haxby_glm_decoding.py:107: RuntimeWarning:

[MultiNiftiMasker.fit] Generation of a mask has been requested (imgs != None) while a mask was given at masker creation. Given mask will be used.

\[FirstLevelModel.fit] Computing run 1 out of 1 runs (go take a coffee, a big
one).
\[FirstLevelModel.fit] Performing mask computation.
\[FirstLevelModel.fit] Masking took 0 seconds.
\[FirstLevelModel.fit] Performing GLM computation.
________________________________________________________________________________
[Memory] Calling nilearn.glm.first_level.first_level.run_glm...
run_glm(array([[-2.050729, ..., 17.180775],
       ...,
       [ 4.479223, ..., -2.349354]]),
array([[0., ..., 1.],
       ...,
       [0., ..., 1.]]), noise_model='ar1', bins=100, n_jobs=1, random_state=None)
__________________________________________________________run_glm - 0.9s, 0.0min
\[FirstLevelModel.fit] GLM took 1 seconds.
\[FirstLevelModel.fit] Computation of 1 runs done in 00 HR 00 MIN 02 SEC.

Generating a report

Since we have already computed the FirstLevelModel and have the contrast, we can quickly create a summary report.

from nilearn.image import mean_img

mean_img_ = mean_img(func_filename)
report = glm.generate_report(
    contrasts=conditions,
    bg_img=mean_img_,
)

Note

The generated report can be:

• displayed in a Notebook,

• opened in a browser using the .open_in_browser() method,

• or saved to a file using the .save_as_html(output_filepath) method.

report

FirstLevelModel Implement the General Linear Model for single run :term:`fMRI` data.

Description

Data were analyzed using Nilearn (version= 0.14.0; RRID:SCR_001362).

At the subject level, a mass univariate analysis was performed with a linear regression at each voxel of the brain, using generalized least squares with a global ar1 noise model to account for temporal auto-correlation and a cosine drift model (high pass filter=0.008 Hz).

Regressors were entered into run-specific design matrices and onsets were convolved with a glover canonical hemodynamic response function for the following conditions:

• bottle
• cat
• chair
• face
• house
• scissors
• scrambledpix
• shoe

Input images were smoothed with gaussian kernel (full-width at half maximum=4 mm).

The following contrasts were computed using a fixed-effect approach across runs :

• bottle
• house
• chair
• scrambledpix
• face
• shoe
• cat
• scissors

Model details

	Value
Parameter
drift_model	cosine
high_pass (Hertz)	0.01
hrf_model	glover
noise_model	ar1
signal_scaling	0
slice_time_ref	0.0
smoothing_fwhm (mm)	4
standardize	False
t_r (seconds)	2.5

Design Matrix

correlation matrix

Contrasts

Mask

The mask includes 39912 voxels (24.4 %) of the image.

Statistical Maps

bottle

Cluster Table

Height control	fpr
α	0.001
Threshold (computed)	3.09
Cluster size threshold (voxels)	0
Minimum distance (mm)	8.0

Cluster ID	X	Y	Z	Peak Stat	Cluster Size (mm3)
1	29.75	-20.62	-24.38	6.51	885
1a	12.25	-20.62	-31.88	4.60
2	-54.25	13.12	5.62	6.40	98
3	-36.75	-46.88	-46.88	6.15	196
4	26.25	-20.62	-13.12	6.13	344
5	-1.75	-39.38	13.12	6.06	196
6	43.75	-50.62	-5.62	6.02	1771
6a	47.25	-43.12	-1.88	4.72
6b	40.25	-28.12	-1.88	3.79
7	-43.75	28.12	-9.38	5.93	196
8	22.75	-54.38	-39.38	5.90	1033
8a	12.25	-54.38	-46.88	4.77
9	-12.25	-24.38	-76.88	5.87	196
10	33.25	-43.12	-43.12	5.87	2264
10a	26.25	-35.62	-43.12	5.64
10b	8.75	-50.62	-35.62	5.18
11	26.25	-46.88	-46.88	5.77	147
12	-19.25	-24.38	-43.12	5.75	787
12a	-19.25	-31.88	-39.38	5.31
12b	-26.25	-39.38	-43.12	3.63
13	19.25	-76.88	-13.12	5.74	639
14	22.75	-46.88	-61.88	5.71	492
15	33.25	5.62	-13.12	5.65	689
15a	26.25	9.38	-16.88	5.45
16	-57.75	-39.38	9.38	5.60	295
17	-29.75	9.38	-28.12	5.56	246
18	1.75	50.62	-16.88	5.52	295
19	22.75	-43.12	9.38	5.51	246
20	26.25	-69.38	-16.88	5.51	885
20a	36.75	-65.62	-13.12	4.91
20b	33.25	-58.12	-16.88	4.08
21	-33.25	-39.38	-50.62	5.41	787
21a	-15.75	-39.38	-50.62	4.52
21b	-15.75	-43.12	-43.12	4.01
22	47.25	-24.38	-13.12	5.40	3396
22a	40.25	-35.62	-24.38	5.25
22b	33.25	-50.62	-20.62	4.87
22c	43.75	-16.88	-13.12	4.71
23	-26.25	-16.88	-24.38	5.40	196
24	-15.75	-28.12	-43.12	5.35	49
25	1.75	-43.12	-1.88	5.30	147
26	12.25	-84.38	-28.12	5.23	98
27	-47.25	-13.12	13.12	5.19	344
28	-19.25	-50.62	-39.38	5.19	639
28a	-8.75	-35.62	-39.38	4.52
28b	-12.25	-46.88	-39.38	3.90
29	12.25	-13.12	-28.12	5.18	98
30	-8.75	-46.88	-65.62	5.11	344
31	-1.75	-50.62	-39.38	5.11	98
32	19.25	-31.88	16.88	5.10	49
33	12.25	-28.12	-73.12	5.09	147
34	-26.25	-54.38	46.88	5.07	98
35	-47.25	-39.38	-20.62	5.07	1378
35a	-50.75	-39.38	-9.38	4.47
35b	-40.25	-43.12	-16.88	4.45
35c	-47.25	-24.38	-16.88	4.43
36	-54.25	-31.88	-13.12	5.07	49
37	19.25	-43.12	-20.62	5.06	98
38	-12.25	5.62	-16.88	5.06	49
39	1.75	-58.12	-24.38	5.05	246
40	12.25	-58.12	-28.12	5.02	344
41	-1.75	-46.88	-24.38	5.00	295
42	-40.25	-61.88	-16.88	4.99	344
43	40.25	16.88	-20.62	4.99	49
44	-33.25	13.12	28.12	4.98	787
44a	-36.75	20.62	35.62	4.59
45	-29.75	-84.38	1.88	4.95	541
45a	-36.75	-76.88	1.88	4.44
45b	-36.75	-69.38	5.62	4.09
46	22.75	31.88	9.38	4.95	49
47	-22.75	-58.12	-46.88	4.94	147
48	-26.25	-20.62	-13.12	4.94	147
49	-40.25	-35.62	-35.62	4.93	344
50	5.25	-61.88	-20.62	4.93	738
50a	19.25	-65.62	-24.38	4.22
50b	12.25	-61.88	-20.62	3.91
50c	26.25	-61.88	-16.88	3.55
51	22.75	-20.62	-35.62	4.93	98
52	8.75	-16.88	46.88	4.92	49
53	-61.25	-5.62	20.62	4.91	98
54	-1.75	-46.88	1.88	4.90	246
55	-15.75	-31.88	-61.88	4.90	49
56	-50.75	35.62	-16.88	4.89	196
57	-36.75	58.12	35.62	4.86	246
57a	-33.25	46.88	35.62	3.73
58	-40.25	24.38	-9.38	4.85	49
59	1.75	-1.88	31.88	4.85	98
60	-43.75	50.62	16.88	4.84	49
61	-15.75	-9.38	28.12	4.84	787
61a	-12.25	9.38	24.38	4.57
61b	-22.75	1.88	28.12	3.64
62	-33.25	-13.12	-13.12	4.84	344
63	-29.75	-58.12	-9.38	4.80	49
64	12.25	43.12	-16.88	4.80	49
65	-40.25	-20.62	-31.88	4.77	49
66	-47.25	24.38	20.62	4.74	196
67	36.75	-61.88	-5.62	4.74	147
68	-40.25	-28.12	-20.62	4.74	49
69	-15.75	-1.88	-69.38	4.74	49
70	33.25	31.88	-9.38	4.73	98
71	-22.75	16.88	5.62	4.73	344
71a	-29.75	24.38	5.62	3.33
72	19.25	35.62	28.12	4.73	49
73	29.75	-50.62	-50.62	4.72	246
74	-12.25	-58.12	-16.88	4.72	49
75	33.25	-9.38	-58.12	4.71	98
76	-50.75	9.38	9.38	4.71	49
77	-47.25	-54.38	-9.38	4.70	344
78	-43.75	24.38	-1.88	4.70	196
79	-1.75	-9.38	-20.62	4.69	49
80	-36.75	-39.38	31.88	4.68	344
81	-1.75	13.12	-20.62	4.67	98
82	-33.25	-73.12	31.88	4.67	49
83	19.25	-39.38	-13.12	4.67	49
84	22.75	-16.88	-9.38	4.67	98
85	22.75	9.38	16.88	4.67	295
86	26.25	31.88	-31.88	4.66	147
87	19.25	-1.88	28.12	4.66	147
88	33.25	9.38	-24.38	4.62	98
89	19.25	-35.62	69.38	4.62	49
90	-5.25	-13.12	-69.38	4.62	147
91	8.75	-91.88	5.62	4.61	49
92	15.75	50.62	58.12	4.60	98
93	-57.75	-16.88	1.88	4.60	98
94	19.25	16.88	28.12	4.60	49
95	-29.75	13.12	-13.12	4.60	295
95a	-26.25	5.62	-13.12	4.23
96	22.75	-35.62	54.38	4.60	295
96a	26.25	-43.12	54.38	4.12
97	-47.25	-9.38	5.62	4.59	295
98	33.25	-24.38	-13.12	4.58	196
99	12.25	-80.62	13.12	4.58	147
100	12.25	24.38	61.88	4.58	98
101	-29.75	-80.62	-9.38	4.58	98
102	-47.25	-28.12	5.62	4.58	49
103	-1.75	-54.38	-9.38	4.56	98
104	33.25	20.62	-20.62	4.56	98
105	26.25	28.12	-20.62	4.55	196
106	-57.75	5.62	13.12	4.55	492
106a	-57.75	-9.38	9.38	4.27
106b	-61.25	-1.88	9.38	4.20
107	22.75	46.88	-16.88	4.54	98
108	-43.75	16.88	58.12	4.52	49
109	-15.75	9.38	-20.62	4.52	98
110	-5.25	-31.88	58.12	4.52	49
111	-12.25	-13.12	-46.88	4.51	196
112	22.75	-28.12	69.38	4.50	147
113	-12.25	-58.12	-46.88	4.50	49
114	40.25	-35.62	-43.12	4.49	49
115	-26.25	13.12	46.88	4.49	49
116	1.75	24.38	31.88	4.49	49
117	5.25	-76.88	24.38	4.48	49
118	5.25	-43.12	-9.38	4.48	49
119	-15.75	16.88	43.12	4.48	147
120	-50.75	-20.62	9.38	4.47	98
121	12.25	-9.38	13.12	4.46	393
121a	26.25	-9.38	13.12	3.87
122	15.75	-35.62	73.12	4.46	246
123	15.75	-24.38	-35.62	4.46	344
124	-40.25	-65.62	-5.62	4.45	98
125	-15.75	-76.88	28.12	4.45	344
126	-1.75	-39.38	1.88	4.45	295
127	-15.75	-16.88	24.38	4.44	147
128	-1.75	-9.38	-46.88	4.44	344
129	-8.75	84.38	20.62	4.44	196
130	50.75	1.88	43.12	4.44	147
131	-54.25	-46.88	-5.62	4.43	98
132	-22.75	31.88	-24.38	4.42	98
133	40.25	31.88	13.12	4.42	49
134	-5.25	-24.38	-20.62	4.41	196
135	-47.25	-61.88	-5.62	4.40	98
136	-47.25	-28.12	43.12	4.39	49
137	-19.25	-58.12	-9.38	4.39	49
138	-36.75	16.88	50.62	4.39	196
139	-33.25	13.12	13.12	4.38	295
140	8.75	-20.62	-13.12	4.38	147
141	-15.75	-73.12	-13.12	4.37	98
142	22.75	16.88	5.62	4.37	196
143	-50.75	39.38	9.38	4.37	49
144	29.75	-31.88	39.38	4.37	492
145	-43.75	43.12	-28.12	4.36	147
146	-15.75	-20.62	-58.12	4.35	98
147	19.25	-1.88	43.12	4.35	98
148	54.25	-24.38	-5.62	4.34	246
149	22.75	13.12	35.62	4.34	344
149a	12.25	20.62	35.62	4.16
150	-5.25	-46.88	-16.88	4.34	738
150a	8.75	-43.12	-13.12	3.97
150b	-12.25	-43.12	-16.88	3.37
151	-22.75	-9.38	13.12	4.34	49
152	-1.75	-65.62	16.88	4.33	344
152a	5.25	-73.12	16.88	4.14
153	-15.75	20.62	-43.12	4.33	98
154	-50.75	-50.62	20.62	4.32	49
155	-47.25	35.62	16.88	4.31	344
156	36.75	43.12	-28.12	4.31	49
157	8.75	16.88	-20.62	4.31	49
158	-47.25	-58.12	13.12	4.30	98
159	-22.75	1.88	-1.88	4.29	49
160	-50.75	-16.88	24.38	4.28	49
161	-1.75	-1.88	1.88	4.28	246
162	-50.75	-5.62	-5.62	4.28	295
163	-5.25	31.88	-20.62	4.27	147
164	50.75	43.12	-5.62	4.26	49
165	-15.75	-50.62	-1.88	4.26	49
166	36.75	5.62	35.62	4.26	196
167	36.75	50.62	1.88	4.26	147
168	-29.75	-80.62	-24.38	4.26	49
169	-33.25	-35.62	-65.62	4.26	98
170	-26.25	1.88	43.12	4.25	98
171	-54.25	-20.62	-9.38	4.25	49
172	8.75	13.12	50.62	4.24	98
173	40.25	35.62	-1.88	4.24	49
174	47.25	-54.38	-16.88	4.24	49
175	-1.75	1.88	13.12	4.23	49
176	1.75	13.12	9.38	4.23	49
177	-22.75	-54.38	-61.88	4.23	147
178	-22.75	-69.38	-13.12	4.22	196
179	19.25	-69.38	-13.12	4.22	147
180	-50.75	16.88	-1.88	4.22	49
181	12.25	-54.38	-54.38	4.21	49
182	40.25	5.62	-24.38	4.21	49
183	-26.25	50.62	5.62	4.21	196
184	-19.25	1.88	58.12	4.21	98
185	-12.25	20.62	73.12	4.20	246
185a	-15.75	13.12	73.12	3.99
186	19.25	16.88	13.12	4.20	147
187	12.25	-9.38	5.62	4.19	49
188	-15.75	-54.38	43.12	4.19	49
189	12.25	50.62	-1.88	4.19	98
190	-15.75	-46.88	-5.62	4.19	98
191	-50.75	13.12	-5.62	4.19	49
192	29.75	-43.12	-58.12	4.19	49
193	50.75	-54.38	-9.38	4.19	49
194	12.25	24.38	-39.38	4.19	442
194a	12.25	20.62	-46.88	3.68
195	15.75	-88.12	5.62	4.18	98
196	19.25	-9.38	20.62	4.18	49
197	40.25	-31.88	54.38	4.18	98
198	19.25	-24.38	16.88	4.17	49
199	-36.75	43.12	1.88	4.17	196
200	15.75	-1.88	-16.88	4.16	196
201	-15.75	13.12	50.62	4.16	147
202	22.75	46.88	13.12	4.16	98
203	-40.25	5.62	-28.12	4.15	246
204	33.25	24.38	39.38	4.15	49
205	-26.25	-28.12	-31.88	4.14	49
206	19.25	-9.38	5.62	4.14	98
207	68.25	-13.12	-9.38	4.14	49
208	-36.75	43.12	24.38	4.14	98
209	-54.25	13.12	20.62	4.14	196
210	26.25	24.38	13.12	4.14	147
211	-40.25	-46.88	1.88	4.14	147
212	-47.25	-43.12	9.38	4.13	147
213	54.25	1.88	35.62	4.13	147
214	-15.75	-1.88	16.88	4.13	49
215	15.75	9.38	43.12	4.12	246
216	-19.25	61.88	5.62	4.11	49
217	-47.25	-28.12	13.12	4.11	98
218	40.25	9.38	-20.62	4.11	98
219	-43.75	-65.62	24.38	4.10	49
220	1.75	-5.62	-13.12	4.10	49
221	-15.75	24.38	-9.38	4.10	98
222	-26.25	-31.88	16.88	4.09	49
223	22.75	-35.62	-20.62	4.09	147
224	-54.25	5.62	-16.88	4.09	246
225	-8.75	-46.88	-31.88	4.09	49
226	-1.75	-58.12	-54.38	4.09	49
227	-29.75	-1.88	-24.38	4.08	98
228	29.75	-28.12	-24.38	4.08	49
229	54.25	-9.38	20.62	4.08	246
230	5.25	-28.12	-9.38	4.07	147
231	8.75	46.88	-5.62	4.07	49
232	50.75	-5.62	5.62	4.07	49
233	-19.25	-5.62	-24.38	4.07	442
234	-54.25	1.88	13.12	4.07	49
235	54.25	-20.62	39.38	4.07	196
236	-33.25	1.88	-16.88	4.07	147
237	36.75	-31.88	-9.38	4.07	393
238	29.75	-31.88	-31.88	4.06	49
239	-8.75	5.62	-24.38	4.06	49
240	-15.75	-1.88	-31.88	4.05	49
241	12.25	80.62	35.62	4.05	246
242	-1.75	58.12	13.12	4.05	49
243	-1.75	-24.38	9.38	4.05	49
244	29.75	-58.12	-46.88	4.05	49
245	-54.25	46.88	9.38	4.04	98
246	19.25	13.12	-1.88	4.04	98
247	33.25	43.12	24.38	4.04	49
248	15.75	-20.62	73.12	4.04	98
249	-40.25	-58.12	9.38	4.04	98
250	26.25	-61.88	31.88	4.03	49
251	-1.75	-16.88	-28.12	4.02	49
252	-26.25	-73.12	-35.62	4.02	98
253	40.25	-20.62	20.62	4.02	147
254	1.75	-76.88	35.62	4.02	49
255	-12.25	46.88	28.12	4.02	49
256	36.75	28.12	-35.62	4.01	49
257	26.25	1.88	13.12	4.01	147
258	-12.25	-28.12	-50.62	4.01	196
259	-64.75	-13.12	-24.38	4.01	49
260	22.75	5.62	-1.88	4.01	49
261	19.25	65.62	9.38	4.00	49
262	36.75	-73.12	5.62	4.00	98
263	-19.25	-76.88	-28.12	4.00	98
264	-22.75	-76.88	-16.88	3.99	49
265	-61.25	-20.62	13.12	3.99	49
266	29.75	65.62	43.12	3.99	49
267	5.25	-61.88	54.38	3.98	196
268	22.75	-65.62	1.88	3.98	147
269	-33.25	31.88	31.88	3.96	246
270	47.25	43.12	9.38	3.96	49
271	-19.25	-5.62	61.88	3.96	147
272	15.75	-1.88	-1.88	3.96	49
273	-50.75	28.12	46.88	3.95	98
274	-19.25	-50.62	16.88	3.95	49
275	-33.25	-69.38	39.38	3.95	49
276	12.25	-9.38	50.62	3.95	49
277	8.75	20.62	-24.38	3.95	49
278	-47.25	20.62	-13.12	3.94	49
279	19.25	-76.88	-35.62	3.94	98
280	5.25	-50.62	-20.62	3.94	98
281	15.75	-35.62	31.88	3.93	98
282	-19.25	24.38	31.88	3.93	49
283	-15.75	54.38	54.38	3.93	98
284	47.25	16.88	-39.38	3.93	98
285	5.25	-88.12	-1.88	3.92	49
286	-50.75	16.88	-16.88	3.92	147
287	5.25	-35.62	-58.12	3.92	98
288	-26.25	-61.88	35.62	3.91	147
289	19.25	54.38	1.88	3.91	147
290	-1.75	-9.38	-5.62	3.91	49
291	33.25	50.62	50.62	3.91	49
292	57.75	-20.62	28.12	3.91	49
293	22.75	-16.88	43.12	3.91	98
294	-15.75	-31.88	-16.88	3.91	49
295	61.25	-31.88	39.38	3.91	49
296	1.75	-5.62	-54.38	3.90	49
297	29.75	-16.88	-61.88	3.90	246
298	19.25	35.62	1.88	3.90	147
299	-19.25	-13.12	61.88	3.90	49
300	-57.75	-31.88	-5.62	3.90	49
301	-47.25	16.88	-24.38	3.89	49
302	-22.75	13.12	-24.38	3.89	49
303	12.25	9.38	28.12	3.89	147
304	-47.25	-65.62	1.88	3.89	196
304a	-43.75	-58.12	1.88	3.86
305	-33.25	39.38	54.38	3.89	49
306	64.75	-43.12	5.62	3.89	49
307	15.75	88.12	9.38	3.89	49
308	26.25	5.62	5.62	3.88	98
309	-54.25	-20.62	-24.38	3.88	98
310	-26.25	24.38	13.12	3.88	98
311	-19.25	13.12	28.12	3.87	49
312	1.75	-31.88	1.88	3.87	147
313	-47.25	-13.12	-54.38	3.87	98
314	19.25	-16.88	16.88	3.87	49
315	-29.75	-46.88	-13.12	3.87	49
316	-47.25	20.62	46.88	3.87	49
317	-22.75	-50.62	54.38	3.86	49
318	50.75	-50.62	9.38	3.85	98
319	-33.25	-35.62	-9.38	3.85	98
320	1.75	16.88	-39.38	3.85	246
320a	-1.75	24.38	-39.38	3.60
321	5.25	-28.12	73.12	3.84	49
322	-47.25	16.88	5.62	3.84	98
323	-54.25	-24.38	-39.38	3.83	98
324	-1.75	-43.12	-9.38	3.83	49
325	15.75	-73.12	-31.88	3.83	49
326	36.75	-39.38	-69.38	3.83	49
327	-5.25	-84.38	-20.62	3.83	49
328	-26.25	-35.62	-9.38	3.82	98
329	22.75	24.38	43.12	3.82	147
330	33.25	-35.62	-5.62	3.81	49
331	54.25	-28.12	-9.38	3.81	98
332	-54.25	-9.38	20.62	3.81	98
333	43.75	-69.38	-1.88	3.81	49
334	-54.25	-39.38	-1.88	3.81	246
334a	-57.75	-46.88	-1.88	3.79
335	-12.25	-20.62	-46.88	3.81	49
336	33.25	5.62	28.12	3.81	49
337	5.25	-58.12	-54.38	3.81	49
338	33.25	-28.12	65.62	3.80	344
338a	33.25	-13.12	65.62	3.56
338b	26.25	-20.62	65.62	3.46
339	36.75	1.88	20.62	3.80	98
340	-40.25	16.88	24.38	3.80	98
341	22.75	16.88	50.62	3.80	98
342	-68.25	-24.38	13.12	3.80	49
343	26.25	13.12	9.38	3.79	98
344	-33.25	35.62	-24.38	3.79	98
345	-47.25	-28.12	28.12	3.79	49
346	-1.75	-28.12	20.62	3.78	98
347	15.75	1.88	35.62	3.78	49
348	1.75	-20.62	-35.62	3.77	49
349	33.25	50.62	24.38	3.77	98
350	12.25	69.38	5.62	3.77	49
351	8.75	-73.12	35.62	3.77	49
352	29.75	16.88	35.62	3.77	49
353	-8.75	-39.38	-31.88	3.77	49
354	26.25	-65.62	46.88	3.77	49
355	1.75	-35.62	-61.88	3.77	98
356	-47.25	-39.38	16.88	3.77	49
357	33.25	43.12	35.62	3.77	49
358	-40.25	35.62	43.12	3.76	246
359	33.25	35.62	16.88	3.76	344
360	-19.25	-20.62	-35.62	3.76	98
361	36.75	-73.12	-9.38	3.76	49
362	19.25	9.38	20.62	3.76	147
363	50.75	50.62	-1.88	3.76	49
364	12.25	-9.38	31.88	3.76	196
365	15.75	-20.62	-20.62	3.76	49
366	26.25	20.62	-24.38	3.75	98
367	-47.25	-58.12	-28.12	3.75	49
368	22.75	46.88	5.62	3.75	49
369	1.75	-58.12	-13.12	3.75	49
370	47.25	13.12	-20.62	3.75	49
371	-33.25	-35.62	46.88	3.74	98
372	-12.25	54.38	-9.38	3.74	98
373	-47.25	-13.12	35.62	3.74	49
374	54.25	-5.62	13.12	3.74	49
375	8.75	-24.38	9.38	3.74	49
376	-22.75	-80.62	1.88	3.74	49
377	40.25	-5.62	46.88	3.74	147
378	43.75	31.88	5.62	3.74	49
379	22.75	-5.62	20.62	3.73	147
380	-12.25	5.62	65.62	3.73	98
381	12.25	-46.88	-46.88	3.73	49
382	36.75	-31.88	13.12	3.73	49
383	-12.25	-39.38	-5.62	3.73	246
384	22.75	-73.12	-5.62	3.73	49
385	12.25	16.88	-50.62	3.72	49
386	-36.75	61.88	16.88	3.72	98
387	12.25	-1.88	-69.38	3.71	98
388	-29.75	20.62	-24.38	3.71	49
389	-29.75	35.62	-1.88	3.71	49
390	33.25	-9.38	-9.38	3.71	49
391	40.25	28.12	-39.38	3.71	49
392	19.25	43.12	-5.62	3.71	98
393	-8.75	39.38	5.62	3.71	49
394	-33.25	65.62	20.62	3.71	98
395	19.25	20.62	20.62	3.71	147
396	1.75	65.62	-16.88	3.71	98
397	12.25	-65.62	-13.12	3.70	196
397a	1.75	-65.62	-13.12	3.70
398	-33.25	-43.12	58.12	3.70	98
399	-54.25	-20.62	-50.62	3.70	49
400	-15.75	-5.62	1.88	3.70	98
401	40.25	-58.12	5.62	3.70	98
402	33.25	43.12	-16.88	3.69	49
403	-15.75	-76.88	20.62	3.69	49
404	-5.25	-43.12	69.38	3.69	196
405	-50.75	13.12	-39.38	3.69	49
406	43.75	-5.62	-13.12	3.69	49
407	40.25	-43.12	-28.12	3.68	49
408	-12.25	-20.62	-61.88	3.68	49
409	-1.75	-16.88	24.38	3.68	49
410	-33.25	-43.12	-28.12	3.67	196
411	-36.75	-31.88	-46.88	3.67	49
412	43.75	24.38	-5.62	3.67	49
413	1.75	-84.38	-16.88	3.67	49
414	47.25	13.12	5.62	3.67	98
415	-19.25	-61.88	20.62	3.66	49
416	-54.25	-35.62	-5.62	3.66	49
417	-15.75	-50.62	-31.88	3.66	196
418	-40.25	-46.88	-5.62	3.66	98
419	1.75	9.38	-16.88	3.66	49
420	19.25	-50.62	-73.12	3.66	49
421	12.25	-35.62	9.38	3.66	49
422	33.25	-50.62	-28.12	3.66	49
423	-5.25	-20.62	1.88	3.66	49
424	-47.25	-1.88	-20.62	3.65	49
425	5.25	5.62	-69.38	3.65	49
426	33.25	-20.62	-9.38	3.65	49
427	-57.75	-1.88	-13.12	3.65	98
428	26.25	-39.38	35.62	3.65	98
429	61.25	-35.62	35.62	3.65	49
430	-47.25	46.88	20.62	3.65	49
431	-29.75	16.88	-5.62	3.64	49
432	12.25	61.88	5.62	3.64	49
433	-1.75	-9.38	69.38	3.64	49
434	-40.25	-16.88	-50.62	3.64	49
435	-36.75	-35.62	39.38	3.63	49
436	-50.75	5.62	-9.38	3.63	49
437	57.75	35.62	28.12	3.63	98
438	68.25	-28.12	16.88	3.62	49
439	19.25	-9.38	35.62	3.62	49
440	-36.75	16.88	1.88	3.62	49
441	29.75	-16.88	58.12	3.62	49
442	57.75	-39.38	5.62	3.62	49
443	1.75	-16.88	-24.38	3.62	49
444	-26.25	-35.62	54.38	3.61	49
445	-22.75	-5.62	-1.88	3.61	49
446	-1.75	-9.38	31.88	3.61	98
447	5.25	1.88	13.12	3.61	98
448	-36.75	-5.62	-20.62	3.61	49
449	8.75	28.12	-24.38	3.61	49
450	-1.75	-43.12	-31.88	3.61	49
451	-64.75	20.62	5.62	3.60	98
452	1.75	28.12	-5.62	3.60	49
453	19.25	-61.88	35.62	3.60	49
454	-1.75	1.88	69.38	3.60	98
455	-43.75	43.12	5.62	3.60	49
456	-1.75	-50.62	-16.88	3.59	49
457	-8.75	46.88	24.38	3.59	98
458	-29.75	43.12	39.38	3.59	98
459	47.25	20.62	5.62	3.59	98
460	26.25	-54.38	-13.12	3.58	98
461	5.25	-9.38	-20.62	3.58	49
462	26.25	-20.62	20.62	3.58	49
463	-19.25	-9.38	-65.62	3.58	49
464	22.75	-54.38	61.88	3.58	49
465	-5.25	43.12	-16.88	3.58	49
466	40.25	65.62	31.88	3.57	49
467	22.75	-24.38	1.88	3.57	49
468	-40.25	35.62	31.88	3.57	98
469	-8.75	-13.12	5.62	3.57	49
470	-57.75	-9.38	16.88	3.57	98
471	-61.25	-16.88	9.38	3.57	49
472	-1.75	9.38	9.38	3.56	49
473	-12.25	-16.88	-65.62	3.56	49
474	-12.25	5.62	35.62	3.56	295
475	43.75	9.38	-39.38	3.56	49
476	26.25	31.88	43.12	3.56	49
477	-43.75	58.12	20.62	3.56	98
478	15.75	-13.12	-73.12	3.56	49
479	-12.25	16.88	20.62	3.56	98
480	29.75	35.62	39.38	3.56	49
481	-47.25	-24.38	-5.62	3.55	49
482	15.75	20.62	43.12	3.54	49
483	-40.25	-69.38	31.88	3.54	49
484	-33.25	-16.88	-5.62	3.54	49
485	-22.75	-28.12	31.88	3.54	49
486	-29.75	-80.62	20.62	3.54	49
487	19.25	28.12	31.88	3.54	49
488	50.75	-13.12	5.62	3.54	49
489	-54.25	-28.12	-16.88	3.53	49
490	-8.75	39.38	-28.12	3.53	49
491	19.25	-13.12	28.12	3.53	49
492	36.75	-54.38	-28.12	3.53	49
493	-47.25	43.12	9.38	3.53	49
494	12.25	1.88	58.12	3.53	98
495	33.25	-43.12	-35.62	3.53	49
496	47.25	-31.88	-39.38	3.53	98
497	22.75	69.38	5.62	3.52	98
498	-33.25	73.12	20.62	3.52	49
499	15.75	-24.38	-73.12	3.52	49
500	19.25	-84.38	-20.62	3.52	49
501	5.25	-80.62	-1.88	3.51	49
502	-43.75	13.12	13.12	3.51	98
503	-29.75	-65.62	-20.62	3.51	49
504	-50.75	1.88	9.38	3.51	49
505	-40.25	13.12	-43.12	3.51	49
506	-36.75	-46.88	9.38	3.50	98
507	-12.25	13.12	58.12	3.50	49
508	57.75	-13.12	16.88	3.50	49
509	50.75	-43.12	9.38	3.50	49
510	29.75	-1.88	-20.62	3.49	49
511	68.25	-13.12	24.38	3.49	49
512	1.75	-58.12	9.38	3.49	49
513	33.25	39.38	28.12	3.49	49
514	47.25	28.12	-39.38	3.49	49
515	-47.25	1.88	-28.12	3.49	49
516	22.75	-1.88	5.62	3.49	49
517	36.75	20.62	31.88	3.49	49
518	-36.75	-13.12	9.38	3.49	49
519	5.25	-50.62	-5.62	3.48	49
520	36.75	50.62	-16.88	3.48	49
521	22.75	39.38	20.62	3.48	98
522	-5.25	1.88	-58.12	3.48	49
523	40.25	-9.38	-31.88	3.48	98
524	-19.25	-43.12	31.88	3.47	49
525	40.25	-9.38	28.12	3.47	49
526	-26.25	-43.12	54.38	3.47	49
527	33.25	-35.62	-35.62	3.47	49
528	5.25	-16.88	-20.62	3.47	49
529	19.25	-61.88	-46.88	3.47	98
530	19.25	-31.88	-54.38	3.47	49
531	19.25	-46.88	31.88	3.47	49
532	1.75	-1.88	-20.62	3.47	49
533	15.75	-73.12	-20.62	3.46	49
534	-36.75	61.88	9.38	3.46	49
535	26.25	-5.62	-1.88	3.46	49
536	19.25	-58.12	-13.12	3.46	49
537	40.25	5.62	39.38	3.46	49
538	12.25	-35.62	-16.88	3.46	49
539	-12.25	-50.62	-24.38	3.45	49
540	-29.75	-24.38	-9.38	3.45	49
541	5.25	-61.88	-46.88	3.45	49
542	40.25	-35.62	50.62	3.45	49
543	-50.75	-9.38	-13.12	3.45	49
544	33.25	5.62	50.62	3.45	49
545	-1.75	-9.38	-28.12	3.45	49
546	33.25	-28.12	58.12	3.45	49
547	-36.75	9.38	54.38	3.44	49
548	-12.25	-76.88	-9.38	3.44	49
549	-1.75	20.62	-16.88	3.44	147
550	50.75	-20.62	-43.12	3.44	98
551	12.25	-9.38	-24.38	3.43	49
552	-50.75	-1.88	16.88	3.43	98
553	1.75	84.38	1.88	3.43	49
554	-5.25	1.88	1.88	3.43	49
555	-1.75	46.88	54.38	3.43	98
556	-1.75	-28.12	58.12	3.43	49
557	12.25	69.38	-13.12	3.43	49
558	-8.75	-35.62	65.62	3.43	49
559	5.25	-16.88	69.38	3.42	49
560	26.25	80.62	24.38	3.42	49
561	40.25	-35.62	-58.12	3.42	98
562	-43.75	50.62	28.12	3.42	49
563	-29.75	-1.88	-1.88	3.42	49
564	-15.75	35.62	5.62	3.42	49
565	54.25	-28.12	31.88	3.42	49
566	40.25	39.38	28.12	3.42	49
567	54.25	-28.12	24.38	3.41	49
568	-36.75	-50.62	-16.88	3.41	49
569	-1.75	-5.62	-73.12	3.41	49
570	-1.75	-16.88	-58.12	3.41	49
571	-19.25	-31.88	-69.38	3.41	98
572	8.75	-5.62	-24.38	3.41	49
573	-8.75	-9.38	-20.62	3.40	49
574	47.25	16.88	39.38	3.40	49
575	-12.25	16.88	-50.62	3.40	49
576	-33.25	1.88	31.88	3.40	98
577	19.25	46.88	39.38	3.40	98
578	12.25	-9.38	43.12	3.39	49
579	-5.25	-54.38	-54.38	3.39	49
580	47.25	31.88	-24.38	3.39	49
581	19.25	-31.88	-16.88	3.39	49
582	12.25	-84.38	-5.62	3.38	49
583	40.25	-28.12	-69.38	3.38	98
584	22.75	-9.38	43.12	3.38	49
585	-22.75	54.38	-20.62	3.38	49
586	-50.75	13.12	35.62	3.38	49
587	-22.75	24.38	20.62	3.38	49
588	-29.75	39.38	35.62	3.38	49
589	26.25	-80.62	1.88	3.38	49
590	26.25	28.12	-43.12	3.38	98
591	15.75	35.62	5.62	3.38	49
592	47.25	-20.62	20.62	3.38	49
593	47.25	5.62	31.88	3.38	49
594	-29.75	-20.62	-69.38	3.38	49
595	-19.25	-16.88	9.38	3.37	49
596	40.25	13.12	-46.88	3.37	49
597	33.25	-76.88	-28.12	3.37	49
598	-33.25	-58.12	-1.88	3.37	49
599	36.75	-46.88	9.38	3.37	49
600	-22.75	20.62	-1.88	3.37	49
601	1.75	1.88	-16.88	3.37	49
602	-22.75	-28.12	-13.12	3.37	98
603	-26.25	-24.38	-5.62	3.36	49
604	26.25	-16.88	-58.12	3.36	49
605	33.25	-24.38	-58.12	3.36	98
606	-36.75	-73.12	-9.38	3.36	49
607	36.75	-24.38	9.38	3.36	49
608	5.25	46.88	13.12	3.36	98
609	-33.25	-1.88	13.12	3.35	49
610	8.75	-76.88	9.38	3.35	49
611	-12.25	46.88	46.88	3.35	49
612	-1.75	5.62	-39.38	3.35	49
613	-22.75	-54.38	39.38	3.35	49
614	-19.25	-50.62	-46.88	3.35	49
615	-22.75	-28.12	-65.62	3.35	49
616	19.25	-9.38	-5.62	3.34	49
617	61.25	1.88	24.38	3.34	49
618	12.25	-50.62	39.38	3.34	49
619	29.75	-46.88	-31.88	3.34	49
620	-29.75	-1.88	-46.88	3.34	49
621	-15.75	-73.12	39.38	3.34	98
622	8.75	13.12	16.88	3.34	49
623	-5.25	-31.88	-13.12	3.34	147
624	12.25	5.62	13.12	3.33	49
625	22.75	-13.12	73.12	3.33	49
626	12.25	-1.88	24.38	3.33	49
627	47.25	-35.62	16.88	3.33	49
628	-54.25	24.38	24.38	3.33	49
629	-8.75	-54.38	-31.88	3.33	49
630	-15.75	-46.88	-24.38	3.33	49
631	-22.75	-39.38	-20.62	3.32	49
632	-47.25	-61.88	20.62	3.32	49
633	-12.25	-13.12	-73.12	3.32	49
634	12.25	-35.62	65.62	3.32	49
635	54.25	1.88	9.38	3.32	49
636	40.25	-13.12	-5.62	3.32	49
637	-29.75	9.38	61.88	3.32	147
638	33.25	-46.88	54.38	3.32	147
639	47.25	-54.38	13.12	3.31	49
640	19.25	-28.12	-24.38	3.31	49
641	33.25	-39.38	-58.12	3.31	49
642	-50.75	-61.88	-28.12	3.31	49
643	-8.75	54.38	43.12	3.31	49
644	-29.75	13.12	54.38	3.31	49
645	-8.75	39.38	31.88	3.31	49
646	15.75	-16.88	5.62	3.31	49
647	-29.75	39.38	28.12	3.31	49
648	-1.75	-1.88	-5.62	3.30	49
649	-15.75	80.62	5.62	3.30	49
650	68.25	-1.88	-9.38	3.30	49
651	-5.25	76.88	5.62	3.30	49
652	26.25	-5.62	-13.12	3.30	49
653	-15.75	-39.38	-9.38	3.30	49
654	-64.75	-35.62	-1.88	3.30	49
655	-26.25	-76.88	35.62	3.30	49
656	54.25	-16.88	-1.88	3.30	49
657	19.25	9.38	50.62	3.30	49
658	-12.25	-9.38	-24.38	3.29	49
659	-50.75	-58.12	1.88	3.29	49
660	22.75	-76.88	-1.88	3.29	49
661	5.25	-20.62	-31.88	3.29	49
662	8.75	24.38	39.38	3.29	49
663	-36.75	-46.88	-24.38	3.28	98
664	15.75	28.12	13.12	3.28	49
665	-29.75	-31.88	-31.88	3.28	49
666	-50.75	-35.62	-54.38	3.28	49
667	-36.75	-9.38	31.88	3.28	49
668	-19.25	-43.12	46.88	3.28	49
669	-47.25	9.38	-9.38	3.27	49
670	57.75	-24.38	-28.12	3.27	49
671	43.75	-43.12	9.38	3.27	98
672	-36.75	-46.88	46.88	3.27	49
673	8.75	20.62	-35.62	3.27	49
674	-12.25	-16.88	9.38	3.27	49
675	-29.75	1.88	-39.38	3.27	49
676	50.75	39.38	-9.38	3.27	49
677	-43.75	-35.62	-1.88	3.27	98
678	19.25	-1.88	50.62	3.27	49
679	33.25	-35.62	-46.88	3.26	49
680	-15.75	-43.12	-65.62	3.26	49
681	1.75	-69.38	46.88	3.26	49
682	22.75	54.38	16.88	3.26	49
683	-33.25	24.38	-28.12	3.26	49
684	12.25	-61.88	46.88	3.26	98
685	1.75	-5.62	65.62	3.26	49
686	-19.25	-31.88	24.38	3.26	98
687	-19.25	-61.88	9.38	3.25	49
688	-47.25	-20.62	-1.88	3.25	49
689	-12.25	-39.38	5.62	3.25	49
690	26.25	-80.62	-9.38	3.25	49
691	-40.25	39.38	35.62	3.25	49
692	-1.75	-69.38	-13.12	3.24	49
693	-40.25	16.88	-9.38	3.24	49
694	50.75	-61.88	-13.12	3.24	49
695	-12.25	-20.62	-13.12	3.24	49
696	-5.25	5.62	-16.88	3.24	49
697	36.75	-24.38	-31.88	3.24	49
698	15.75	-69.38	28.12	3.24	49
699	-15.75	-16.88	-28.12	3.24	49
700	-19.25	-54.38	-43.12	3.23	49
701	15.75	-16.88	-58.12	3.23	49
702	33.25	-35.62	-16.88	3.23	49
703	-5.25	-31.88	-5.62	3.23	49
704	29.75	-50.62	-13.12	3.23	49
705	50.75	-13.12	43.12	3.23	49
706	-47.25	-1.88	-13.12	3.22	49
707	33.25	28.12	13.12	3.22	49
708	-40.25	-50.62	28.12	3.22	49
709	-19.25	-9.38	69.38	3.22	49
710	-22.75	-54.38	-35.62	3.22	49
711	57.75	35.62	-5.62	3.22	49
712	-5.25	20.62	13.12	3.22	49
713	-19.25	-16.88	1.88	3.22	49
714	-19.25	-54.38	13.12	3.22	49
715	-26.25	-31.88	-58.12	3.22	49
716	15.75	28.12	-5.62	3.22	49
717	5.25	54.38	1.88	3.22	49
718	-50.75	50.62	-1.88	3.22	49
719	-5.25	16.88	35.62	3.22	49
720	5.25	-13.12	-39.38	3.22	49
721	-33.25	-24.38	-65.62	3.21	49
722	40.25	-13.12	-24.38	3.21	49
723	-68.25	-24.38	1.88	3.21	98
724	-29.75	35.62	-9.38	3.21	49
725	47.25	-24.38	9.38	3.21	49
726	-1.75	-58.12	-16.88	3.21	49
727	43.75	-9.38	54.38	3.21	98
728	29.75	-9.38	9.38	3.20	49
729	40.25	-5.62	58.12	3.20	49
730	12.25	-35.62	-61.88	3.20	49
731	-12.25	13.12	65.62	3.20	49
732	-5.25	39.38	50.62	3.20	49
733	-12.25	-35.62	-58.12	3.20	49
734	29.75	-1.88	-54.38	3.20	49
735	-19.25	65.62	39.38	3.20	49
736	-12.25	20.62	13.12	3.20	49
737	-36.75	61.88	28.12	3.19	49
738	-29.75	-24.38	-16.88	3.19	49
739	47.25	-9.38	43.12	3.19	49
740	43.75	5.62	-31.88	3.19	49
741	-8.75	9.38	65.62	3.19	49
742	26.25	-20.62	58.12	3.19	49
743	-36.75	-69.38	13.12	3.19	49
744	-5.25	9.38	43.12	3.18	49
745	22.75	-50.62	35.62	3.18	49
746	-33.25	16.88	-46.88	3.18	49
747	8.75	54.38	5.62	3.18	49
748	1.75	-65.62	-43.12	3.18	49
749	-22.75	20.62	-46.88	3.18	49
750	29.75	-39.38	-54.38	3.18	49
751	-19.25	-84.38	1.88	3.18	49
752	29.75	-28.12	43.12	3.17	49
753	-47.25	46.88	28.12	3.17	49
754	40.25	-9.38	-13.12	3.17	49
755	40.25	-31.88	-35.62	3.17	49
756	43.75	-39.38	-43.12	3.17	49
757	19.25	-58.12	20.62	3.17	49
758	26.25	16.88	-20.62	3.17	49
759	8.75	-13.12	-58.12	3.17	49
760	-15.75	-50.62	39.38	3.17	98
761	12.25	-65.62	1.88	3.17	49
762	15.75	-16.88	54.38	3.17	49
763	5.25	84.38	16.88	3.17	49
764	1.75	50.62	16.88	3.16	49
765	-15.75	-69.38	28.12	3.16	49
766	15.75	-46.88	20.62	3.16	49
767	-26.25	50.62	28.12	3.16	49
768	26.25	9.38	24.38	3.16	49
769	12.25	5.62	-54.38	3.16	49
770	-47.25	9.38	28.12	3.16	49
771	22.75	-9.38	-50.62	3.16	49
772	36.75	-50.62	-1.88	3.16	49
773	-5.25	-58.12	-13.12	3.16	49
774	-33.25	-28.12	35.62	3.16	49
775	40.25	-76.88	-9.38	3.16	49
776	-15.75	-43.12	1.88	3.16	49
777	-8.75	-65.62	-43.12	3.16	49
778	-33.25	-61.88	13.12	3.16	49
779	33.25	-20.62	28.12	3.16	49
780	33.25	-50.62	46.88	3.16	49
781	29.75	-43.12	58.12	3.16	49
782	19.25	-84.38	24.38	3.16	49
783	1.75	-9.38	-16.88	3.16	49
784	-26.25	43.12	31.88	3.16	49
785	47.25	-13.12	28.12	3.16	49
786	-19.25	-31.88	-58.12	3.15	49
787	19.25	-46.88	-13.12	3.15	49
788	-15.75	16.88	-35.62	3.15	49
789	50.75	-16.88	28.12	3.15	49
790	-57.75	-31.88	24.38	3.14	98
791	15.75	46.88	46.88	3.14	49
792	-33.25	-39.38	-35.62	3.14	49
793	50.75	39.38	13.12	3.14	49
794	5.25	-73.12	-16.88	3.14	49
795	-19.25	13.12	1.88	3.14	147
796	15.75	5.62	-5.62	3.14	49
797	-1.75	-28.12	-24.38	3.14	49
798	-40.25	-28.12	-9.38	3.14	49
799	-19.25	-9.38	-35.62	3.13	49
800	-1.75	-16.88	1.88	3.13	49
801	-47.25	-31.88	20.62	3.13	49
802	40.25	-69.38	9.38	3.13	49
803	8.75	-1.88	35.62	3.13	49
804	-22.75	-5.62	-9.38	3.13	49
805	-47.25	31.88	-24.38	3.13	49
806	-12.25	-5.62	-20.62	3.13	49
807	-12.25	-84.38	-5.62	3.13	49
808	-50.75	50.62	13.12	3.13	49
809	8.75	-24.38	24.38	3.13	49
810	12.25	5.62	5.62	3.13	49
811	-19.25	-65.62	-20.62	3.13	49
812	26.25	-43.12	5.62	3.13	49
813	-29.75	-31.88	43.12	3.12	49
814	-1.75	-1.88	24.38	3.12	49
815	-43.75	16.88	-43.12	3.12	49
816	-19.25	58.12	1.88	3.12	49
817	-15.75	9.38	58.12	3.12	49
818	-33.25	9.38	16.88	3.12	49
819	-19.25	43.12	-1.88	3.12	49
820	36.75	-16.88	28.12	3.12	49
821	19.25	-20.62	54.38	3.12	49
822	8.75	-20.62	-28.12	3.12	49
823	-36.75	-24.38	-61.88	3.11	49
824	-50.75	-16.88	-9.38	3.11	98
825	-5.25	1.88	-5.62	3.11	49
826	-64.75	-9.38	-9.38	3.11	49
827	47.25	5.62	-1.88	3.11	49
828	-54.25	-24.38	-31.88	3.11	49
829	43.75	5.62	54.38	3.11	49
830	-36.75	-16.88	-46.88	3.11	49
831	1.75	54.38	13.12	3.11	49
832	26.25	-54.38	31.88	3.10	49
833	68.25	-28.12	9.38	3.10	49
834	-22.75	-20.62	-31.88	3.10	49
835	-19.25	31.88	43.12	3.10	49
836	22.75	31.88	28.12	3.10	49
837	12.25	1.88	20.62	3.10	49
838	-33.25	-58.12	46.88	3.10	49
839	43.75	-24.38	39.38	3.10	49
840	-40.25	-13.12	5.62	3.10	49
841	36.75	39.38	5.62	3.10	49
842	1.75	-65.62	9.38	3.09	49
843	29.75	-43.12	50.62	3.09	49
844	5.25	-50.62	-13.12	3.09	49
845	12.25	5.62	-1.88	3.09	49
846	-26.25	-39.38	-35.62	3.09	49

house

Cluster Table

Height control	fpr
α	0.001
Threshold (computed)	3.09
Cluster size threshold (voxels)	0
Minimum distance (mm)	8.0

Cluster ID	X	Y	Z	Peak Stat	Cluster Size (mm3)
1	-22.75	-39.38	-1.88	5.46	442
2	22.75	20.62	9.38	5.45	836
2a	22.75	13.12	20.62	5.26
2b	22.75	24.38	16.88	4.27
2c	26.25	13.12	13.12	4.01
3	47.25	-54.38	-16.88	5.37	98
4	-22.75	24.38	13.12	5.32	885
4a	-22.75	16.88	5.62	4.32
4b	-15.75	28.12	16.88	4.02
5	33.25	-43.12	-35.62	4.68	393
6	12.25	24.38	20.62	4.64	147
7	-29.75	28.12	5.62	4.63	98
8	22.75	-5.62	20.62	4.61	49
9	-50.75	9.38	-28.12	4.60	49
10	-33.25	-58.12	35.62	4.56	49
11	22.75	-31.88	1.88	4.55	98
12	36.75	-54.38	-20.62	4.47	49
13	-40.25	-58.12	28.12	4.40	98
14	26.25	5.62	9.38	4.36	49
15	1.75	13.12	-16.88	4.36	49
16	33.25	5.62	-39.38	4.34	49
17	22.75	-43.12	-31.88	4.29	49
18	33.25	28.12	28.12	4.29	49
19	19.25	5.62	43.12	4.27	98
20	8.75	-16.88	31.88	4.24	49
21	8.75	-24.38	24.38	4.23	49
22	26.25	9.38	-31.88	4.22	49
23	43.75	-1.88	20.62	4.21	98
24	-26.25	39.38	46.88	4.21	196
25	-22.75	5.62	24.38	4.20	344
26	-12.25	-16.88	-20.62	4.20	49
27	1.75	-46.88	-5.62	4.19	49
28	19.25	-13.12	24.38	4.15	98
29	15.75	-39.38	13.12	4.15	49
30	15.75	-54.38	5.62	4.13	49
31	-15.75	-35.62	-1.88	4.09	196
32	26.25	-61.88	31.88	4.09	49
33	-12.25	-28.12	-76.88	4.08	49
34	-29.75	16.88	9.38	4.08	49
35	26.25	-1.88	13.12	4.05	49
36	-22.75	20.62	20.62	4.03	147
37	-15.75	-46.88	20.62	4.03	98
38	-54.25	-20.62	-9.38	3.98	49
39	-12.25	-43.12	-16.88	3.97	49
40	-8.75	-43.12	-9.38	3.93	49
41	-8.75	35.62	43.12	3.92	49
42	-12.25	-43.12	-50.62	3.92	49
43	-15.75	-50.62	24.38	3.90	49
44	-15.75	-24.38	-9.38	3.90	196
45	8.75	-9.38	31.88	3.87	98
46	33.25	-50.62	-24.38	3.86	196
47	-33.25	-24.38	35.62	3.86	49
48	-29.75	-31.88	35.62	3.84	49
49	-8.75	-28.12	5.62	3.84	49
50	5.25	-43.12	-1.88	3.84	196
51	-22.75	-9.38	-65.62	3.84	49
52	22.75	-39.38	46.88	3.83	49
53	-40.25	-69.38	20.62	3.82	49
54	-15.75	-31.88	-50.62	3.81	49
55	22.75	-43.12	9.38	3.78	49
56	50.75	50.62	-1.88	3.78	49
57	22.75	-43.12	31.88	3.76	49
58	-15.75	16.88	13.12	3.76	98
59	-29.75	-9.38	-31.88	3.75	49
60	5.25	31.88	50.62	3.75	49
61	50.75	-31.88	-50.62	3.74	49
62	22.75	-65.62	20.62	3.73	49
63	22.75	-76.88	20.62	3.73	49
64	15.75	28.12	13.12	3.72	49
65	26.25	9.38	-24.38	3.71	49
66	-12.25	-39.38	46.88	3.71	49
67	1.75	31.88	-13.12	3.69	49
68	-1.75	-61.88	-39.38	3.68	49
69	40.25	31.88	-24.38	3.68	49
70	-26.25	-50.62	-46.88	3.68	49
71	26.25	-13.12	54.38	3.67	49
72	29.75	1.88	13.12	3.66	49
73	-22.75	-58.12	24.38	3.65	49
74	-22.75	-13.12	46.88	3.65	49
75	-8.75	5.62	28.12	3.65	98
76	15.75	-28.12	-5.62	3.64	49
77	33.25	9.38	1.88	3.64	49
78	-22.75	-24.38	46.88	3.64	49
79	-40.25	-28.12	-24.38	3.63	49
80	33.25	43.12	50.62	3.63	49
81	19.25	-76.88	-16.88	3.63	98
82	33.25	-76.88	-24.38	3.63	49
83	-40.25	50.62	1.88	3.62	49
84	26.25	-24.38	-69.38	3.62	49
85	-15.75	20.62	20.62	3.61	49
86	-43.75	58.12	9.38	3.60	49
87	-15.75	20.62	1.88	3.59	49
88	-26.25	20.62	-1.88	3.59	49
89	-29.75	-13.12	-20.62	3.59	49
90	-33.25	-73.12	-31.88	3.59	49
91	-12.25	1.88	-58.12	3.58	98
92	29.75	-43.12	-20.62	3.58	49
93	15.75	-73.12	-28.12	3.56	49
94	40.25	-13.12	-43.12	3.55	98
95	57.75	-54.38	1.88	3.53	49
96	22.75	-9.38	13.12	3.52	49
97	-36.75	-61.88	35.62	3.52	49
98	8.75	-61.88	-50.62	3.52	49
99	22.75	-73.12	-13.12	3.51	49
100	-26.25	13.12	16.88	3.51	49
101	12.25	-31.88	-73.12	3.50	49
102	-26.25	-50.62	46.88	3.50	49
103	-29.75	50.62	20.62	3.49	49
104	61.25	-1.88	13.12	3.49	49
105	-57.75	20.62	13.12	3.49	49
106	22.75	-16.88	16.88	3.49	49
107	29.75	-54.38	-24.38	3.49	49
108	5.25	-65.62	54.38	3.48	49
109	-36.75	24.38	13.12	3.48	49
110	29.75	-46.88	-24.38	3.48	49
111	22.75	1.88	20.62	3.48	49
112	-43.75	-9.38	39.38	3.48	49
113	12.25	-13.12	54.38	3.47	49
114	12.25	-5.62	-5.62	3.47	49
115	40.25	-50.62	-58.12	3.46	98
116	-19.25	5.62	61.88	3.46	49
117	-33.25	9.38	5.62	3.46	49
118	-26.25	-20.62	16.88	3.45	49
119	-64.75	-24.38	-20.62	3.45	49
120	26.25	-73.12	31.88	3.44	49
121	22.75	5.62	24.38	3.44	49
122	-15.75	-50.62	-9.38	3.44	49
123	36.75	-61.88	-13.12	3.44	49
124	-26.25	1.88	13.12	3.43	49
125	-8.75	-46.88	-31.88	3.43	49
126	-15.75	-61.88	43.12	3.43	196
127	-50.75	31.88	9.38	3.43	49
128	29.75	5.62	39.38	3.42	49
129	-5.25	39.38	-20.62	3.42	98
130	15.75	1.88	58.12	3.42	49
131	-40.25	-46.88	39.38	3.42	49
132	57.75	-16.88	16.88	3.42	49
133	22.75	-13.12	20.62	3.42	49
134	-54.25	-13.12	-1.88	3.40	49
135	-36.75	-65.62	-16.88	3.40	49
136	5.25	9.38	39.38	3.40	49
137	33.25	54.38	28.12	3.40	49
138	22.75	-46.88	-20.62	3.39	49
139	5.25	-50.62	-5.62	3.39	49
140	-15.75	-20.62	-28.12	3.39	49
141	54.25	9.38	-31.88	3.39	49
142	-33.25	61.88	39.38	3.38	49
143	15.75	-50.62	9.38	3.38	49
144	-40.25	-1.88	24.38	3.37	49
145	19.25	24.38	5.62	3.37	49
146	-36.75	-69.38	35.62	3.37	98
147	29.75	1.88	-16.88	3.37	49
148	50.75	-43.12	-1.88	3.37	49
149	-26.25	-54.38	43.12	3.37	49
150	26.25	-16.88	-9.38	3.37	49
151	22.75	-46.88	-5.62	3.36	49
152	-8.75	-24.38	1.88	3.36	49
153	-19.25	31.88	20.62	3.36	49
154	19.25	-35.62	-28.12	3.36	49
155	15.75	-28.12	24.38	3.35	49
156	-26.25	16.88	50.62	3.35	49
157	-15.75	58.12	5.62	3.35	49
158	-36.75	-50.62	-16.88	3.35	49
159	-8.75	61.88	-16.88	3.35	49
160	26.25	-20.62	24.38	3.35	49
161	43.75	35.62	46.88	3.34	49
162	40.25	-16.88	-46.88	3.33	49
163	15.75	-1.88	69.38	3.33	49
164	40.25	-39.38	13.12	3.33	49
165	-26.25	-20.62	-13.12	3.33	49
166	-15.75	-43.12	13.12	3.33	49
167	50.75	-46.88	1.88	3.32	49
168	-26.25	-76.88	-9.38	3.32	49
169	-12.25	9.38	5.62	3.31	49
170	-1.75	-31.88	13.12	3.31	49
171	33.25	13.12	-5.62	3.29	49
172	-15.75	-20.62	1.88	3.29	49
173	26.25	-76.88	-16.88	3.29	49
174	26.25	-58.12	-16.88	3.29	98
175	15.75	-5.62	-16.88	3.29	49
176	12.25	-73.12	-13.12	3.28	49
177	8.75	-80.62	-5.62	3.28	49
178	5.25	-20.62	-13.12	3.28	49
179	22.75	46.88	-20.62	3.27	49
180	-1.75	28.12	61.88	3.27	49
181	-22.75	-16.88	24.38	3.27	49
182	57.75	16.88	20.62	3.27	49
183	-40.25	24.38	35.62	3.26	49
184	15.75	16.88	50.62	3.26	49
185	-15.75	13.12	1.88	3.26	98
186	26.25	-13.12	13.12	3.26	49
187	8.75	-5.62	-9.38	3.25	49
188	-15.75	-5.62	-13.12	3.25	98
189	-12.25	-58.12	-46.88	3.24	49
190	19.25	-50.62	-13.12	3.24	49
191	-33.25	13.12	-1.88	3.24	49
192	-22.75	35.62	-24.38	3.24	49
193	36.75	-13.12	-31.88	3.24	49
194	36.75	-39.38	-24.38	3.24	49
195	33.25	-28.12	-13.12	3.23	49
196	-40.25	-24.38	-28.12	3.23	49
197	50.75	-9.38	20.62	3.23	98
198	-15.75	-1.88	-16.88	3.23	49
199	33.25	28.12	-46.88	3.23	49
200	-33.25	-61.88	39.38	3.23	49
201	-40.25	43.12	46.88	3.22	49
202	8.75	-58.12	-24.38	3.22	49
203	15.75	24.38	-13.12	3.22	98
204	-19.25	61.88	20.62	3.22	49
205	-26.25	31.88	20.62	3.22	49
206	29.75	-16.88	46.88	3.22	49
207	19.25	35.62	20.62	3.22	49
208	-26.25	16.88	-13.12	3.22	49
209	-33.25	50.62	16.88	3.22	49
210	5.25	-35.62	-28.12	3.22	49
211	-57.75	16.88	5.62	3.21	49
212	22.75	-54.38	-16.88	3.21	49
213	50.75	-13.12	35.62	3.21	49
214	-47.25	-76.88	9.38	3.21	49
215	-26.25	-80.62	-1.88	3.21	49
216	-43.75	-69.38	24.38	3.20	49
217	-12.25	50.62	-24.38	3.20	49
218	29.75	5.62	65.62	3.20	49
219	43.75	20.62	16.88	3.19	49
220	-40.25	-65.62	31.88	3.18	49
221	-15.75	31.88	5.62	3.18	49
222	-26.25	-31.88	-69.38	3.18	49
223	8.75	43.12	-5.62	3.18	49
224	47.25	-50.62	-20.62	3.18	49
225	-29.75	20.62	13.12	3.17	49
226	-40.25	-46.88	13.12	3.17	49
227	-15.75	13.12	73.12	3.17	49
228	29.75	31.88	24.38	3.17	49
229	12.25	5.62	61.88	3.17	49
230	19.25	-54.38	20.62	3.16	49
231	33.25	-5.62	-58.12	3.16	49
232	-19.25	1.88	28.12	3.15	49
233	-8.75	31.88	9.38	3.15	49
234	12.25	-35.62	31.88	3.15	49
235	64.75	-43.12	1.88	3.15	49
236	-54.25	-16.88	9.38	3.14	49
237	33.25	5.62	5.62	3.14	49
238	33.25	35.62	31.88	3.14	49
239	26.25	5.62	69.38	3.14	49
240	-19.25	20.62	58.12	3.14	49
241	-29.75	43.12	-9.38	3.13	49
242	19.25	-35.62	1.88	3.13	49
243	-40.25	20.62	9.38	3.13	49
244	40.25	24.38	-46.88	3.13	49
245	-12.25	43.12	-9.38	3.13	49
246	29.75	-24.38	-54.38	3.13	49
247	-22.75	50.62	9.38	3.12	49
248	-22.75	35.62	20.62	3.12	49
249	-1.75	1.88	-61.88	3.12	49
250	-43.75	31.88	31.88	3.12	49
251	1.75	-39.38	-1.88	3.11	49
252	-15.75	-61.88	24.38	3.11	49
253	15.75	-43.12	-20.62	3.11	49
254	-26.25	13.12	-31.88	3.11	49
255	40.25	-20.62	20.62	3.11	49
256	36.75	-46.88	-9.38	3.10	49
257	26.25	-9.38	5.62	3.10	49
258	-15.75	28.12	28.12	3.10	49
259	26.25	-20.62	-28.12	3.10	49
260	-19.25	-9.38	-28.12	3.10	49
261	-12.25	24.38	-13.12	3.10	49
262	-36.75	-46.88	-46.88	3.10	49
263	-8.75	5.62	-5.62	3.09	49
264	12.25	-28.12	-31.88	3.09	49
265	-15.75	35.62	16.88	3.09	49
266	-29.75	-24.38	9.38	3.09	49
267	15.75	-46.88	-58.12	3.09	49
268	-8.75	-80.62	5.62	3.09	49

chair

Cluster Table

Height control	fpr
α	0.001
Threshold (computed)	3.09
Cluster size threshold (voxels)	0
Minimum distance (mm)	8.0

Cluster ID	X	Y	Z	Peak Stat	Cluster Size (mm3)
1	40.25	-46.88	13.12	5.06	147
2	12.25	35.62	-5.62	4.89	196
3	-50.75	39.38	16.88	4.74	98
4	33.25	-58.12	-1.88	4.20	49
5	-15.75	-1.88	-16.88	4.19	49
6	-36.75	-76.88	1.88	4.18	49
7	12.25	28.12	-16.88	4.08	98
8	26.25	-46.88	-35.62	4.08	49
9	-29.75	20.62	46.88	4.07	98
10	12.25	5.62	-24.38	4.04	98
11	-54.25	-43.12	46.88	4.03	49
12	33.25	-58.12	-16.88	3.95	49
13	-5.25	43.12	50.62	3.91	49
14	33.25	43.12	-16.88	3.90	49
15	12.25	16.88	-20.62	3.88	49
16	-22.75	-43.12	-31.88	3.86	98
17	-57.75	-9.38	-1.88	3.81	49
18	8.75	-35.62	-35.62	3.81	49
19	-22.75	1.88	5.62	3.81	49
20	-50.75	-39.38	-1.88	3.80	147
21	-15.75	20.62	13.12	3.79	49
22	-36.75	-61.88	43.12	3.77	98
23	33.25	13.12	-1.88	3.74	49
24	-57.75	13.12	1.88	3.71	98
25	-1.75	5.62	31.88	3.70	49
26	54.25	20.62	5.62	3.67	49
27	36.75	-24.38	20.62	3.66	49
28	22.75	24.38	16.88	3.63	49
29	-36.75	-46.88	50.62	3.62	49
30	-15.75	-39.38	-54.38	3.56	49
31	-22.75	-9.38	20.62	3.55	49
32	12.25	16.88	-50.62	3.55	49
33	-22.75	-31.88	-69.38	3.54	49
34	33.25	-20.62	-58.12	3.53	49
35	12.25	-1.88	69.38	3.52	49
36	36.75	-1.88	28.12	3.51	49
37	-22.75	9.38	24.38	3.50	49
38	19.25	20.62	16.88	3.48	98
39	29.75	-43.12	-35.62	3.48	49
40	-22.75	24.38	13.12	3.48	49
41	-22.75	50.62	9.38	3.48	49
42	36.75	20.62	-43.12	3.47	49
43	19.25	76.88	31.88	3.46	49
44	26.25	-69.38	31.88	3.44	147
45	-15.75	-39.38	-24.38	3.44	49
46	26.25	16.88	16.88	3.43	49
47	33.25	13.12	61.88	3.42	49
48	1.75	24.38	-39.38	3.38	49
49	5.25	-1.88	31.88	3.36	49
50	29.75	9.38	-16.88	3.36	49
51	-26.25	-1.88	-50.62	3.34	49
52	12.25	9.38	-1.88	3.34	49
53	-22.75	-39.38	-28.12	3.31	49
54	22.75	-46.88	-24.38	3.28	49
55	33.25	9.38	-13.12	3.28	49
56	22.75	-24.38	-61.88	3.27	49
57	-68.25	1.88	5.62	3.27	49
58	-22.75	-1.88	-1.88	3.26	49
59	-50.75	-28.12	-1.88	3.25	49
60	36.75	-28.12	-9.38	3.25	49
61	-36.75	-28.12	-9.38	3.23	49
62	5.25	-58.12	-24.38	3.23	49
63	29.75	-20.62	-5.62	3.22	49
64	-1.75	9.38	-16.88	3.22	49
65	43.75	-28.12	-13.12	3.21	49
66	-43.75	13.12	-31.88	3.21	98
67	33.25	54.38	24.38	3.20	49
68	-36.75	-31.88	-50.62	3.20	49
69	-50.75	9.38	-28.12	3.20	49
70	36.75	46.88	-16.88	3.19	49
71	1.75	28.12	-35.62	3.19	49
72	29.75	-24.38	43.12	3.17	49
73	26.25	31.88	20.62	3.17	49
74	-57.75	28.12	31.88	3.17	49
75	12.25	-16.88	-28.12	3.17	49
76	-29.75	-43.12	-58.12	3.16	49
77	-54.25	-5.62	-13.12	3.16	49
78	22.75	13.12	20.62	3.15	49
79	-5.25	35.62	54.38	3.15	49
80	19.25	-39.38	13.12	3.14	49
81	33.25	1.88	-9.38	3.14	49
82	29.75	43.12	13.12	3.13	49
83	19.25	-28.12	43.12	3.13	49
84	-43.75	-65.62	24.38	3.12	49
85	-29.75	24.38	-13.12	3.11	49
86	-29.75	-43.12	46.88	3.11	49
87	26.25	35.62	24.38	3.11	49
88	5.25	16.88	31.88	3.10	49
89	29.75	13.12	-43.12	3.10	49
90	26.25	5.62	9.38	3.09	49

scrambledpix

Cluster Table

Height control	fpr
α	0.001
Threshold (computed)	3.09
Cluster size threshold (voxels)	0
Minimum distance (mm)	8.0

Cluster ID	X	Y	Z	Peak Stat	Cluster Size (mm3)
1	-22.75	-46.88	43.12	5.03	98
2	1.75	24.38	-13.12	5.02	49
3	-29.75	-61.88	-31.88	4.93	49
4	-15.75	61.88	-9.38	4.73	147
5	5.25	43.12	-28.12	4.55	49
6	-22.75	-9.38	20.62	4.29	49
7	-1.75	-35.62	5.62	4.21	98
8	50.75	16.88	-28.12	4.19	147
9	-1.75	5.62	31.88	4.02	246
9a	1.75	13.12	31.88	3.28
10	-15.75	-43.12	-16.88	3.92	49
11	-64.75	-31.88	39.38	3.84	49
12	-1.75	-46.88	-9.38	3.82	49
13	40.25	-16.88	-39.38	3.78	49
14	22.75	-24.38	46.88	3.70	49
15	50.75	5.62	-35.62	3.65	49
16	19.25	43.12	13.12	3.54	49
17	54.25	-9.38	16.88	3.54	49
18	-22.75	-54.38	-9.38	3.54	147
19	-29.75	-65.62	20.62	3.54	49
20	22.75	46.88	-5.62	3.53	49
21	33.25	-20.62	43.12	3.52	49
22	15.75	-39.38	-31.88	3.47	49
23	-40.25	-16.88	-54.38	3.39	49
24	-26.25	-69.38	39.38	3.35	49
25	40.25	5.62	-39.38	3.34	49
26	1.75	-43.12	-1.88	3.33	49
27	57.75	13.12	-9.38	3.33	49
28	-5.25	-50.62	61.88	3.31	49
29	1.75	35.62	-24.38	3.30	49
30	26.25	-20.62	43.12	3.28	49
31	-26.25	-65.62	16.88	3.27	49
32	-22.75	-9.38	-65.62	3.27	49
33	19.25	1.88	9.38	3.26	49
34	-26.25	13.12	-39.38	3.26	49
35	-8.75	-54.38	-13.12	3.25	49
36	-43.75	16.88	-9.38	3.25	49
37	-15.75	1.88	61.88	3.24	49
38	43.75	16.88	-13.12	3.24	49
39	-22.75	-28.12	39.38	3.24	49
40	-15.75	-61.88	-46.88	3.21	49
41	1.75	-50.62	61.88	3.21	49
42	54.25	-46.88	-9.38	3.21	49
43	-19.25	-73.12	39.38	3.20	49
44	-22.75	-31.88	-31.88	3.20	49
45	15.75	69.38	-13.12	3.19	49
46	-1.75	-31.88	61.88	3.16	49
47	33.25	-46.88	-24.38	3.16	49
48	-26.25	39.38	35.62	3.15	49
49	-22.75	-24.38	-16.88	3.14	49
50	15.75	-31.88	31.88	3.14	49
51	-5.25	-35.62	-9.38	3.13	49
52	-22.75	-61.88	43.12	3.12	49
53	15.75	-61.88	24.38	3.12	49
54	-26.25	-54.38	46.88	3.12	49
55	5.25	39.38	-5.62	3.12	49
56	33.25	1.88	35.62	3.11	49
57	-26.25	-1.88	-20.62	3.10	49

face

Cluster Table

Height control	fpr
α	0.001
Threshold (computed)	3.09
Cluster size threshold (voxels)	0
Minimum distance (mm)	8.0

Cluster ID	X	Y	Z	Peak Stat	Cluster Size (mm3)
1	-50.75	-50.62	13.12	5.49	196
1a	-47.25	-58.12	13.12	4.46
2	-47.25	-43.12	-35.62	5.03	49
3	-33.25	50.62	16.88	4.87	492
3a	-40.25	46.88	13.12	4.32
4	-47.25	-39.38	16.88	4.85	98
5	-36.75	31.88	16.88	4.81	246
6	-12.25	-58.12	-16.88	4.81	147
7	68.25	-28.12	16.88	4.67	98
8	-1.75	-39.38	5.62	4.63	98
9	-15.75	13.12	73.12	4.62	196
10	33.25	-61.88	-13.12	4.62	196
11	1.75	-43.12	-1.88	4.58	49
12	-43.75	-31.88	35.62	4.50	295
12a	-47.25	-28.12	28.12	3.76
13	-47.25	24.38	20.62	4.44	49
14	22.75	-50.62	-24.38	4.40	49
15	-22.75	39.38	13.12	4.37	49
16	40.25	-39.38	-24.38	4.30	49
17	-47.25	-50.62	20.62	4.24	49
18	-40.25	-43.12	-16.88	4.18	246
18a	-43.75	-39.38	-9.38	3.86
19	-29.75	24.38	-13.12	4.17	147
20	-15.75	-13.12	24.38	4.17	98
21	64.75	-9.38	-9.38	4.16	147
22	-57.75	-16.88	1.88	4.10	98
23	29.75	-46.88	35.62	4.08	49
24	-1.75	-58.12	-16.88	4.08	147
25	-47.25	-54.38	-9.38	4.08	147
26	40.25	-43.12	-9.38	4.07	98
27	-8.75	13.12	65.62	4.06	49
28	22.75	-1.88	58.12	4.06	98
29	-8.75	-39.38	-5.62	3.99	49
30	-19.25	-73.12	39.38	3.95	98
31	5.25	-58.12	-24.38	3.94	442
32	33.25	-46.88	-39.38	3.94	98
33	1.75	-43.12	-16.88	3.94	196
34	-36.75	-31.88	-46.88	3.93	49
35	-47.25	-46.88	9.38	3.92	98
36	1.75	24.38	-13.12	3.92	49
37	-36.75	31.88	35.62	3.88	541
38	-1.75	28.12	61.88	3.86	98
39	-8.75	-28.12	61.88	3.85	49
40	40.25	43.12	16.88	3.84	49
41	-36.75	-43.12	39.38	3.80	295
42	-26.25	-43.12	-43.12	3.75	49
43	29.75	-46.88	-31.88	3.74	49
44	43.75	35.62	39.38	3.74	344
44a	40.25	28.12	39.38	3.50
45	-22.75	-46.88	-50.62	3.72	49
46	-47.25	-61.88	-5.62	3.72	49
47	22.75	-46.88	-20.62	3.72	295
48	-47.25	-9.38	13.12	3.71	49
49	5.25	20.62	65.62	3.71	49
50	-57.75	-9.38	-1.88	3.70	49
51	-29.75	28.12	13.12	3.70	49
52	-29.75	-13.12	5.62	3.69	49
53	33.25	50.62	20.62	3.69	49
54	-8.75	-46.88	-31.88	3.69	49
55	-1.75	-46.88	-9.38	3.68	98
56	-57.75	31.88	31.88	3.68	49
57	-50.75	20.62	20.62	3.66	49
58	-47.25	-46.88	-31.88	3.66	49
59	33.25	-54.38	43.12	3.65	49
60	36.75	-35.62	-20.62	3.65	49
61	-47.25	-46.88	16.88	3.63	49
62	26.25	1.88	13.12	3.63	49
63	33.25	-50.62	-20.62	3.62	147
64	-36.75	5.62	43.12	3.62	49
65	-50.75	-43.12	1.88	3.62	147
66	-54.25	-9.38	-31.88	3.60	49
67	36.75	-46.88	9.38	3.60	49
68	26.25	-28.12	24.38	3.59	49
69	19.25	-16.88	39.38	3.58	49
70	-47.25	-16.88	-35.62	3.58	49
71	5.25	-65.62	13.12	3.57	49
72	-12.25	-76.88	28.12	3.55	49
73	-29.75	5.62	58.12	3.54	49
74	-36.75	20.62	50.62	3.53	98
75	-12.25	-39.38	58.12	3.53	49
76	-33.25	16.88	50.62	3.51	49
77	-33.25	31.88	46.88	3.50	49
78	19.25	-1.88	50.62	3.50	49
79	29.75	-46.88	-43.12	3.50	49
80	29.75	-50.62	-39.38	3.49	49
81	5.25	-24.38	-20.62	3.49	49
82	-33.25	39.38	54.38	3.49	49
83	29.75	-54.38	46.88	3.47	49
84	-36.75	-46.88	50.62	3.47	49
85	22.75	31.88	28.12	3.46	49
86	19.25	5.62	13.12	3.46	49
87	33.25	-43.12	-24.38	3.46	49
88	-43.75	-43.12	46.88	3.46	49
89	-47.25	-16.88	-43.12	3.46	49
90	-47.25	-61.88	-28.12	3.45	49
91	-33.25	-9.38	-28.12	3.45	49
92	8.75	-58.12	-28.12	3.43	98
93	8.75	-1.88	9.38	3.43	49
94	40.25	-46.88	-20.62	3.42	49
95	-47.25	-46.88	-1.88	3.41	49
96	15.75	5.62	9.38	3.40	49
97	-47.25	58.12	-1.88	3.40	49
98	-19.25	-61.88	-9.38	3.40	98
99	-47.25	24.38	28.12	3.40	98
100	-8.75	-13.12	20.62	3.40	49
101	-29.75	35.62	-1.88	3.39	49
102	22.75	-24.38	-58.12	3.39	49
103	5.25	31.88	-35.62	3.39	49
104	40.25	-35.62	-43.12	3.39	49
105	-54.25	-20.62	-39.38	3.39	49
106	12.25	28.12	61.88	3.37	49
107	1.75	-43.12	5.62	3.36	49
108	-50.75	-35.62	43.12	3.36	49
109	-40.25	50.62	9.38	3.36	49
110	36.75	54.38	24.38	3.35	98
111	-47.25	-9.38	5.62	3.35	49
112	15.75	-54.38	-20.62	3.35	49
113	-15.75	16.88	16.88	3.35	49
114	-5.25	61.88	-9.38	3.35	49
115	-43.75	-31.88	-9.38	3.34	49
116	-26.25	-88.12	-9.38	3.34	98
117	36.75	61.88	28.12	3.33	49
118	-50.75	-58.12	-13.12	3.33	49
119	-47.25	-58.12	-31.88	3.33	98
120	15.75	13.12	43.12	3.32	49
121	-47.25	-46.88	-58.12	3.31	49
122	12.25	-88.12	5.62	3.31	49
123	43.75	9.38	50.62	3.31	49
124	40.25	-69.38	-16.88	3.31	49
125	12.25	1.88	5.62	3.30	49
126	-29.75	31.88	-9.38	3.30	49
127	50.75	1.88	43.12	3.30	49
128	-29.75	-16.88	16.88	3.30	49
129	-29.75	-50.62	1.88	3.29	49
130	26.25	-43.12	35.62	3.29	49
131	57.75	-35.62	43.12	3.28	49
132	33.25	20.62	43.12	3.28	49
133	26.25	-13.12	31.88	3.28	49
134	-47.25	-50.62	31.88	3.27	49
135	29.75	9.38	13.12	3.27	49
136	47.25	35.62	13.12	3.27	49
137	-33.25	58.12	20.62	3.27	49
138	-40.25	20.62	24.38	3.27	49
139	26.25	-9.38	35.62	3.26	49
140	-29.75	13.12	61.88	3.26	98
141	-29.75	20.62	-46.88	3.25	49
142	-8.75	-39.38	-24.38	3.24	98
143	-12.25	-1.88	28.12	3.24	49
144	-54.25	-43.12	20.62	3.24	49
145	-19.25	-39.38	1.88	3.24	49
146	43.75	16.88	31.88	3.24	49
147	43.75	-54.38	9.38	3.24	98
148	1.75	-69.38	46.88	3.23	49
149	-15.75	-46.88	-1.88	3.23	49
150	-5.25	16.88	35.62	3.23	49
151	12.25	-65.62	54.38	3.22	98
152	29.75	-35.62	35.62	3.22	49
153	1.75	-58.12	-13.12	3.20	49
154	1.75	13.12	61.88	3.19	49
155	-12.25	5.62	65.62	3.19	98
156	-47.25	-61.88	20.62	3.19	49
157	29.75	-46.88	-20.62	3.19	49
158	-47.25	-31.88	-50.62	3.19	49
159	-54.25	-35.62	-50.62	3.18	49
160	5.25	-9.38	69.38	3.18	49
161	-22.75	46.88	13.12	3.18	49
162	33.25	31.88	35.62	3.18	49
163	8.75	-1.88	54.38	3.17	49
164	-8.75	20.62	58.12	3.17	49
165	22.75	-43.12	54.38	3.17	49
166	-47.25	-39.38	31.88	3.17	49
167	-19.25	5.62	13.12	3.17	49
168	-1.75	-31.88	9.38	3.17	49
169	-61.25	-46.88	20.62	3.17	49
170	-57.75	9.38	-16.88	3.17	49
171	-36.75	-65.62	-31.88	3.17	49
172	-40.25	-65.62	-16.88	3.16	49
173	26.25	-28.12	69.38	3.15	49
174	-40.25	-16.88	1.88	3.15	49
175	-1.75	-50.62	-39.38	3.15	49
176	36.75	-20.62	-9.38	3.14	49
177	-47.25	-50.62	5.62	3.14	49
178	19.25	-5.62	28.12	3.14	49
179	-29.75	13.12	54.38	3.14	49
180	-26.25	-39.38	39.38	3.13	49
181	40.25	-46.88	16.88	3.13	49
182	-50.75	-28.12	35.62	3.13	49
183	-36.75	-39.38	46.88	3.13	49
184	12.25	-54.38	-16.88	3.13	49
185	-50.75	39.38	9.38	3.12	49
186	-40.25	-69.38	13.12	3.12	49
187	15.75	13.12	28.12	3.12	49
188	-1.75	39.38	-20.62	3.12	49
189	-40.25	39.38	43.12	3.11	49
190	-12.25	-61.88	54.38	3.11	49
191	-33.25	-54.38	43.12	3.11	49
192	-29.75	16.88	35.62	3.11	49
193	-15.75	54.38	54.38	3.11	49
194	26.25	-43.12	-28.12	3.11	49
195	-15.75	84.38	20.62	3.10	49
196	-33.25	-46.88	61.88	3.10	49
197	43.75	13.12	46.88	3.10	49
198	-15.75	-58.12	-5.62	3.10	49
199	-47.25	-16.88	-24.38	3.10	49
200	-40.25	24.38	46.88	3.10	49
201	-22.75	13.12	54.38	3.10	49
202	40.25	-35.62	28.12	3.09	49
203	-8.75	-61.88	43.12	3.09	49
204	-50.75	-39.38	-24.38	3.09	49

shoe

Cluster Table

Height control	fpr
α	0.001
Threshold (computed)	3.09
Cluster size threshold (voxels)	0
Minimum distance (mm)	8.0

Cluster ID	X	Y	Z	Peak Stat	Cluster Size (mm3)
1	19.25	73.12	20.62	4.62	49
2	22.75	-9.38	35.62	4.46	98
3	19.25	-20.62	-28.12	4.03	49
4	12.25	5.62	31.88	3.96	49
5	26.25	35.62	28.12	3.95	49
6	61.25	24.38	31.88	3.92	147
7	-5.25	-76.88	-28.12	3.85	49
8	36.75	46.88	-16.88	3.78	49
9	15.75	16.88	58.12	3.77	49
10	-29.75	9.38	35.62	3.75	49
11	26.25	-46.88	-24.38	3.69	49
12	-8.75	84.38	20.62	3.66	98
13	22.75	-69.38	-28.12	3.58	49
14	-12.25	1.88	-69.38	3.58	49
15	-12.25	39.38	65.62	3.57	49
16	-54.25	-65.62	16.88	3.57	49
17	19.25	-28.12	-54.38	3.56	49
18	-26.25	-13.12	-43.12	3.54	49
19	47.25	-28.12	-5.62	3.53	98
20	33.25	9.38	61.88	3.51	49
21	-68.25	-20.62	24.38	3.51	49
22	-8.75	20.62	73.12	3.50	98
23	22.75	61.88	31.88	3.48	98
24	-19.25	-28.12	35.62	3.47	49
25	40.25	-54.38	39.38	3.43	49
26	1.75	-24.38	-39.38	3.42	49
27	50.75	-35.62	-35.62	3.42	49
28	22.75	-65.62	9.38	3.40	49
29	29.75	24.38	-28.12	3.40	98
30	-12.25	39.38	24.38	3.39	49
31	5.25	-13.12	24.38	3.38	49
32	-8.75	-1.88	-58.12	3.36	49
33	-1.75	-28.12	-73.12	3.34	49
34	-19.25	20.62	43.12	3.34	49
35	33.25	-43.12	-35.62	3.32	49
36	22.75	-54.38	-43.12	3.31	49
37	-68.25	-9.38	9.38	3.30	49
38	-36.75	5.62	31.88	3.28	49
39	-12.25	-46.88	-43.12	3.26	49
40	-15.75	-24.38	35.62	3.26	49
41	-8.75	-46.88	-39.38	3.25	49
42	-40.25	-9.38	-50.62	3.22	49
43	5.25	39.38	50.62	3.21	49
44	15.75	-24.38	-73.12	3.21	49
45	47.25	-31.88	-58.12	3.20	49
46	43.75	46.88	-9.38	3.20	49
47	-47.25	-16.88	-24.38	3.20	49
48	-8.75	73.12	31.88	3.19	49
49	-54.25	-39.38	-1.88	3.19	98
50	-33.25	31.88	58.12	3.18	49
51	15.75	-5.62	-69.38	3.18	98
52	-40.25	-16.88	-35.62	3.18	49
53	-68.25	-16.88	28.12	3.14	49
54	-19.25	16.88	-20.62	3.12	49
55	-22.75	-50.62	-31.88	3.11	49
56	26.25	-54.38	-65.62	3.10	49

cat

Cluster Table

Height control	fpr
α	0.001
Threshold (computed)	3.09
Cluster size threshold (voxels)	0
Minimum distance (mm)	8.0

Cluster ID	X	Y	Z	Peak Stat	Cluster Size (mm3)
1	12.25	-61.88	-31.88	5.01	590
1a	5.25	-61.88	-24.38	4.35
2	-12.25	-58.12	-16.88	4.42	49
3	-40.25	-65.62	13.12	4.41	196
4	-29.75	39.38	54.38	4.34	98
5	-12.25	-76.88	31.88	4.22	98
6	22.75	-24.38	-58.12	4.16	49
7	19.25	-31.88	-69.38	4.14	98
8	43.75	-5.62	16.88	4.10	196
9	1.75	35.62	-13.12	4.05	49
10	43.75	1.88	9.38	3.95	246
11	-5.25	-50.62	-13.12	3.90	49
12	-29.75	35.62	50.62	3.90	49
13	-36.75	-50.62	-39.38	3.89	98
14	61.25	-31.88	20.62	3.89	49
15	5.25	-80.62	9.38	3.87	98
16	-12.25	-20.62	-58.12	3.84	98
17	-12.25	-73.12	-31.88	3.84	49
18	47.25	1.88	-46.88	3.83	49
19	-8.75	-46.88	-28.12	3.82	49
20	50.75	28.12	24.38	3.79	49
21	22.75	-61.88	-54.38	3.78	49
22	33.25	-1.88	46.88	3.73	49
23	5.25	-31.88	54.38	3.73	49
24	36.75	69.38	5.62	3.69	49
25	-36.75	46.88	39.38	3.67	49
26	-54.25	-50.62	5.62	3.66	98
27	50.75	1.88	-24.38	3.66	49
28	-26.25	-80.62	9.38	3.63	98
29	-1.75	50.62	-9.38	3.62	98
30	36.75	28.12	-20.62	3.62	49
31	43.75	5.62	1.88	3.59	49
32	33.25	-54.38	43.12	3.58	49
33	8.75	-65.62	-24.38	3.55	49
34	36.75	9.38	-35.62	3.54	49
35	29.75	-35.62	-50.62	3.54	49
36	33.25	28.12	43.12	3.52	98
37	12.25	-54.38	-43.12	3.51	49
38	50.75	9.38	-35.62	3.51	49
39	61.25	-31.88	43.12	3.50	49
40	5.25	-61.88	-39.38	3.50	49
41	64.75	20.62	9.38	3.50	49
42	-43.75	-65.62	5.62	3.49	49
43	-29.75	-54.38	-35.62	3.49	49
44	15.75	-50.62	-39.38	3.47	49
45	15.75	-80.62	-31.88	3.47	49
46	-54.25	-50.62	39.38	3.47	98
47	5.25	-24.38	-73.12	3.46	49
48	12.25	-39.38	-31.88	3.46	49
49	8.75	16.88	-16.88	3.45	98
50	47.25	13.12	43.12	3.45	49
51	-64.75	-9.38	-24.38	3.43	49
52	-29.75	-46.88	5.62	3.43	49
53	-40.25	-5.62	50.62	3.43	49
54	-43.75	-1.88	-28.12	3.39	49
55	12.25	-43.12	1.88	3.38	49
56	-64.75	-31.88	16.88	3.38	49
57	-47.25	-43.12	43.12	3.38	98
58	-40.25	-1.88	-31.88	3.38	49
59	-40.25	-46.88	16.88	3.38	49
60	-19.25	16.88	69.38	3.37	49
61	-40.25	-46.88	50.62	3.37	98
62	12.25	5.62	5.62	3.36	49
63	36.75	28.12	35.62	3.36	49
64	-47.25	-50.62	46.88	3.35	98
65	-36.75	-50.62	-20.62	3.35	49
66	43.75	31.88	39.38	3.34	49
67	5.25	-54.38	-46.88	3.33	49
68	-15.75	-84.38	-16.88	3.33	49
69	-26.25	-46.88	-28.12	3.32	49
70	36.75	-9.38	50.62	3.32	49
71	-64.75	-20.62	24.38	3.31	98
72	-57.75	-50.62	13.12	3.30	49
73	5.25	43.12	50.62	3.30	49
74	-36.75	-73.12	5.62	3.30	98
75	-22.75	76.88	5.62	3.28	49
76	-43.75	-31.88	35.62	3.26	49
77	-43.75	-43.12	50.62	3.25	49
78	8.75	-54.38	-39.38	3.25	49
79	-33.25	-50.62	58.12	3.24	49
80	-40.25	-69.38	35.62	3.23	49
81	15.75	39.38	-20.62	3.22	49
82	12.25	-84.38	-24.38	3.22	49
83	33.25	-54.38	-24.38	3.21	49
84	-22.75	35.62	61.88	3.21	49
85	50.75	-1.88	-28.12	3.20	49
86	-8.75	1.88	-28.12	3.20	49
87	29.75	-43.12	50.62	3.18	49
88	1.75	-50.62	-16.88	3.18	49
89	29.75	9.38	-31.88	3.17	49
90	-50.75	-65.62	-13.12	3.17	49
91	-64.75	-9.38	9.38	3.17	49
92	-29.75	35.62	58.12	3.17	98
93	-8.75	-61.88	20.62	3.17	49
94	29.75	1.88	-31.88	3.16	49
95	-40.25	-43.12	54.38	3.16	49
96	26.25	-1.88	46.88	3.16	49
97	47.25	20.62	50.62	3.15	49
98	-1.75	1.88	-61.88	3.15	49
99	-29.75	-76.88	9.38	3.15	49
100	36.75	-24.38	-54.38	3.15	49
101	-50.75	-35.62	-46.88	3.14	49
102	26.25	-65.62	-20.62	3.14	49
103	15.75	-16.88	46.88	3.13	49
104	12.25	54.38	58.12	3.13	49
105	15.75	-31.88	-61.88	3.13	49
106	36.75	1.88	58.12	3.12	49
107	-47.25	-24.38	54.38	3.12	49
108	50.75	9.38	31.88	3.12	49
109	5.25	20.62	50.62	3.11	49
110	40.25	-5.62	-5.62	3.10	49
111	1.75	54.38	-9.38	3.09	49

scissors

Cluster Table

Height control	fpr
α	0.001
Threshold (computed)	3.09
Cluster size threshold (voxels)	0
Minimum distance (mm)	8.0

Cluster ID	X	Y	Z	Peak Stat	Cluster Size (mm3)
1	-50.75	20.62	-24.38	5.94	1132
2	-15.75	16.88	-46.88	5.79	492
3	-19.25	84.38	20.62	5.69	295
4	-26.25	24.38	28.12	5.32	196
5	29.75	5.62	-5.62	5.27	147
6	36.75	20.62	-31.88	5.21	295
7	47.25	24.38	-1.88	5.21	147
8	-19.25	61.88	50.62	5.13	49
9	-22.75	-58.12	-50.62	5.11	442
9a	-22.75	-46.88	-50.62	4.69
10	12.25	13.12	-43.12	5.06	442
11	-50.75	-9.38	-20.62	5.00	295
12	50.75	31.88	-31.88	5.00	49
13	33.25	5.62	-46.88	4.87	49
14	12.25	-61.88	-46.88	4.85	49
15	-19.25	31.88	-35.62	4.84	196
16	-12.25	1.88	-28.12	4.83	49
17	1.75	-1.88	-61.88	4.72	295
18	40.25	-58.12	-5.62	4.68	147
19	12.25	-35.62	-69.38	4.66	147
20	1.75	-28.12	-61.88	4.62	98
21	-15.75	-43.12	-46.88	4.61	98
22	22.75	-58.12	-50.62	4.58	98
23	47.25	24.38	9.38	4.55	49
24	19.25	16.88	-46.88	4.55	49
25	-54.25	-39.38	-31.88	4.55	49
26	1.75	13.12	-16.88	4.52	196
27	5.25	24.38	-46.88	4.45	442
27a	-1.75	28.12	-39.38	3.64
28	26.25	-46.88	1.88	4.45	98
29	33.25	-35.62	-35.62	4.43	98
30	50.75	24.38	-35.62	4.42	147
31	12.25	80.62	35.62	4.42	196
32	40.25	5.62	31.88	4.42	98
33	1.75	1.88	31.88	4.41	246
34	19.25	-46.88	-35.62	4.38	147
35	-12.25	76.88	20.62	4.38	98
36	-5.25	-16.88	-39.38	4.37	98
37	19.25	80.62	1.88	4.36	98
38	-29.75	76.88	20.62	4.33	49
39	54.25	5.62	50.62	4.32	295
39a	54.25	1.88	43.12	4.28
40	-40.25	61.88	5.62	4.31	98
41	15.75	-35.62	-73.12	4.30	49
42	-54.25	9.38	-16.88	4.30	49
43	-22.75	-5.62	-20.62	4.29	49
44	-12.25	9.38	-58.12	4.26	98
45	47.25	-5.62	20.62	4.26	295
46	-1.75	-31.88	9.38	4.23	246
46a	-1.75	-39.38	5.62	4.17
47	26.25	13.12	-39.38	4.23	49
48	29.75	-1.88	24.38	4.22	49
49	15.75	76.88	28.12	4.22	49
50	-47.25	24.38	20.62	4.22	49
51	-8.75	28.12	54.38	4.21	196
52	22.75	-54.38	-43.12	4.18	49
53	-5.25	-9.38	31.88	4.18	49
54	-19.25	50.62	13.12	4.17	49
55	40.25	-1.88	61.88	4.15	246
55a	40.25	-9.38	58.12	3.83
56	-29.75	20.62	-46.88	4.14	49
57	36.75	31.88	-35.62	4.13	295
58	-26.25	80.62	16.88	4.12	295
59	-36.75	-1.88	-20.62	4.12	98
60	15.75	-28.12	-54.38	4.11	49
61	40.25	-24.38	-35.62	4.10	49
62	12.25	24.38	-35.62	4.09	98
63	29.75	-46.88	-61.88	4.08	49
64	-15.75	-9.38	28.12	4.06	98
65	-26.25	76.88	24.38	4.04	196
66	50.75	50.62	20.62	4.04	49
67	19.25	-5.62	-35.62	4.04	49
68	40.25	-43.12	-5.62	4.04	49
69	-33.25	-65.62	-16.88	4.03	49
70	19.25	-16.88	-54.38	4.03	49
71	-26.25	-13.12	1.88	4.03	49
72	12.25	80.62	-5.62	4.02	49
73	33.25	24.38	-43.12	4.02	98
74	33.25	-5.62	-1.88	4.01	98
75	-5.25	80.62	31.88	4.00	196
76	22.75	-1.88	9.38	3.99	49
77	26.25	-50.62	-54.38	3.99	147
78	54.25	1.88	35.62	3.99	196
79	-19.25	-1.88	-35.62	3.96	49
80	1.75	39.38	-16.88	3.96	49
81	-19.25	9.38	-35.62	3.96	49
82	40.25	28.12	-43.12	3.95	196
83	22.75	-43.12	-61.88	3.95	98
84	-26.25	-24.38	20.62	3.95	49
85	-19.25	20.62	24.38	3.94	49
86	40.25	-39.38	58.12	3.94	49
87	-26.25	16.88	28.12	3.94	49
88	43.75	-31.88	-13.12	3.94	98
89	-12.25	-50.62	-50.62	3.93	49
90	-5.25	84.38	1.88	3.93	49
91	57.75	-20.62	28.12	3.93	49
92	-5.25	-28.12	-76.88	3.92	147
93	5.25	39.38	-20.62	3.91	49
94	-15.75	76.88	31.88	3.91	49
95	29.75	65.62	43.12	3.90	49
96	50.75	-16.88	46.88	3.89	49
97	19.25	-28.12	73.12	3.89	49
98	47.25	16.88	-20.62	3.89	49
99	-8.75	84.38	20.62	3.87	98
100	1.75	-28.12	-76.88	3.86	49
101	-12.25	-43.12	-13.12	3.86	49
102	33.25	-69.38	-13.12	3.86	147
103	-29.75	13.12	61.88	3.85	196
104	29.75	-50.62	-50.62	3.85	49
105	-40.25	-16.88	-65.62	3.85	49
106	33.25	-39.38	-20.62	3.84	49
107	-36.75	65.62	20.62	3.84	98
108	33.25	-39.38	24.38	3.84	49
109	19.25	54.38	50.62	3.83	49
110	12.25	-61.88	9.38	3.83	49
111	1.75	-1.88	-76.88	3.83	196
112	29.75	76.88	13.12	3.83	49
113	-8.75	9.38	65.62	3.81	49
114	57.75	-13.12	39.38	3.81	49
115	5.25	9.38	-58.12	3.81	196
116	12.25	-31.88	-46.88	3.80	49
117	40.25	13.12	-39.38	3.80	49
118	-26.25	31.88	-39.38	3.78	49
119	15.75	88.12	9.38	3.78	98
120	43.75	13.12	-28.12	3.78	98
121	33.25	-50.62	-20.62	3.76	49
122	-1.75	-13.12	-54.38	3.74	98
123	26.25	-16.88	-16.88	3.74	98
124	12.25	-35.62	-24.38	3.74	49
125	-15.75	-65.62	5.62	3.73	49
126	15.75	5.62	9.38	3.73	49
127	-8.75	24.38	-35.62	3.73	98
128	-40.25	-9.38	-5.62	3.73	49
129	33.25	-39.38	-43.12	3.72	196
130	-22.75	58.12	-16.88	3.72	246
131	33.25	-5.62	24.38	3.72	98
132	15.75	50.62	-9.38	3.71	49
133	-40.25	69.38	13.12	3.71	49
134	-50.75	-1.88	20.62	3.71	98
135	19.25	16.88	-35.62	3.70	49
136	50.75	-39.38	-16.88	3.70	49
137	-5.25	80.62	13.12	3.69	49
138	-8.75	24.38	43.12	3.69	49
139	-33.25	-58.12	-31.88	3.69	49
140	5.25	-1.88	5.62	3.68	98
141	-26.25	-80.62	-5.62	3.68	49
142	29.75	-54.38	-61.88	3.67	49
143	-12.25	-50.62	-13.12	3.67	49
144	-29.75	20.62	20.62	3.66	49
145	33.25	5.62	16.88	3.65	49
146	19.25	-1.88	-1.88	3.65	49
147	-19.25	31.88	-28.12	3.65	98
148	-26.25	16.88	-16.88	3.65	49
149	-29.75	-69.38	9.38	3.65	98
150	8.75	1.88	24.38	3.65	49
151	-47.25	-5.62	-28.12	3.65	49
152	-68.25	-5.62	5.62	3.64	98
153	33.25	-20.62	43.12	3.64	49
154	40.25	69.38	16.88	3.63	98
155	26.25	-13.12	13.12	3.63	49
156	15.75	-16.88	46.88	3.63	49
157	15.75	-50.62	-35.62	3.62	49
158	-1.75	-20.62	54.38	3.62	98
159	33.25	24.38	61.88	3.62	49
160	57.75	-1.88	5.62	3.61	49
161	-1.75	73.12	35.62	3.61	49
162	1.75	-9.38	1.88	3.61	49
163	12.25	-1.88	43.12	3.61	49
164	12.25	-28.12	-31.88	3.59	49
165	-1.75	-13.12	31.88	3.59	49
166	-47.25	20.62	43.12	3.59	147
167	54.25	9.38	28.12	3.59	98
168	-1.75	1.88	13.12	3.58	49
169	-33.25	69.38	20.62	3.57	98
170	-8.75	80.62	5.62	3.57	98
171	15.75	24.38	69.38	3.57	49
172	26.25	28.12	-43.12	3.57	49
173	15.75	73.12	20.62	3.56	98
174	22.75	-20.62	20.62	3.56	49
175	1.75	65.62	46.88	3.56	49
176	-33.25	73.12	9.38	3.56	49
177	-1.75	-46.88	-1.88	3.55	98
178	57.75	16.88	16.88	3.54	49
179	40.25	-13.12	46.88	3.54	49
180	-40.25	-16.88	-20.62	3.54	49
181	15.75	46.88	-20.62	3.54	49
182	19.25	-5.62	61.88	3.54	49
183	-1.75	-35.62	-65.62	3.54	49
184	-33.25	39.38	54.38	3.54	49
185	5.25	-65.62	20.62	3.54	49
186	-5.25	5.62	-69.38	3.54	49
187	-12.25	88.12	9.38	3.54	49
188	-50.75	-13.12	5.62	3.53	49
189	-43.75	-24.38	35.62	3.53	98
190	-1.75	-5.62	-80.62	3.53	98
191	26.25	-16.88	-35.62	3.53	98
192	-50.75	13.12	20.62	3.53	49
193	57.75	-28.12	9.38	3.53	49
194	57.75	-24.38	5.62	3.52	49
195	-22.75	-39.38	-54.38	3.52	49
196	5.25	13.12	31.88	3.52	147
197	29.75	-9.38	9.38	3.51	49
198	43.75	-9.38	-16.88	3.50	49
199	-22.75	39.38	31.88	3.50	49
200	-1.75	20.62	54.38	3.50	49
201	50.75	16.88	-5.62	3.50	49
202	15.75	88.12	16.88	3.50	49
203	47.25	-9.38	54.38	3.49	49
204	-5.25	5.62	39.38	3.49	49
205	33.25	-28.12	-39.38	3.49	49
206	-19.25	-5.62	16.88	3.49	49
207	8.75	-1.88	28.12	3.48	49
208	33.25	-13.12	-61.88	3.48	49
209	-5.25	28.12	61.88	3.47	49
210	-43.75	16.88	39.38	3.47	147
211	33.25	31.88	-20.62	3.47	49
212	22.75	-43.12	54.38	3.47	49
213	-8.75	20.62	58.12	3.47	49
214	29.75	9.38	16.88	3.46	49
215	-22.75	-88.12	-1.88	3.46	49
216	50.75	54.38	-5.62	3.46	49
217	-15.75	1.88	28.12	3.46	49
218	57.75	-24.38	-13.12	3.46	98
219	43.75	-61.88	5.62	3.45	49
220	-5.25	39.38	58.12	3.45	49
221	33.25	-1.88	-24.38	3.45	49
222	40.25	16.88	61.88	3.44	49
223	-12.25	65.62	-9.38	3.44	49
224	50.75	-16.88	58.12	3.44	49
225	-29.75	31.88	-9.38	3.43	49
226	33.25	-13.12	50.62	3.43	49
227	47.25	-16.88	31.88	3.42	49
228	-57.75	-5.62	-1.88	3.42	147
229	40.25	-16.88	9.38	3.42	49
230	-22.75	-9.38	39.38	3.41	49
231	1.75	-39.38	-20.62	3.41	49
232	57.75	-9.38	43.12	3.41	49
233	-1.75	-73.12	-31.88	3.41	49
234	-8.75	-5.62	-58.12	3.40	147
235	-54.25	20.62	-16.88	3.40	49
236	22.75	-20.62	-5.62	3.40	49
237	1.75	76.88	16.88	3.39	49
238	-36.75	69.38	16.88	3.39	49
239	22.75	-35.62	-9.38	3.39	49
240	12.25	-24.38	-50.62	3.39	49
241	8.75	76.88	16.88	3.39	49
242	-12.25	1.88	9.38	3.38	49
243	36.75	1.88	65.62	3.37	49
244	8.75	46.88	-20.62	3.37	49
245	-43.75	24.38	-1.88	3.37	49
246	-12.25	46.88	-16.88	3.37	98
247	-15.75	-46.88	-43.12	3.37	98
248	-22.75	-31.88	-43.12	3.37	49
249	15.75	-39.38	24.38	3.37	49
250	29.75	-58.12	-46.88	3.36	49
251	-47.25	-16.88	-39.38	3.36	49
252	43.75	-50.62	-5.62	3.36	49
253	33.25	-20.62	-58.12	3.35	49
254	26.25	-61.88	-16.88	3.35	49
255	-5.25	-1.88	-28.12	3.35	147
256	1.75	-9.38	-58.12	3.35	49
257	19.25	46.88	39.38	3.34	98
258	33.25	24.38	31.88	3.34	49
259	50.75	-54.38	9.38	3.34	49
260	-1.75	-13.12	-5.62	3.34	98
261	-47.25	20.62	-16.88	3.34	49
262	-40.25	43.12	-31.88	3.34	49
263	29.75	58.12	-16.88	3.33	49
264	-36.75	24.38	-39.38	3.33	49
265	15.75	16.88	28.12	3.33	49
266	-57.75	-9.38	-13.12	3.33	49
267	47.25	-5.62	50.62	3.32	49
268	47.25	-9.38	28.12	3.32	49
269	22.75	-13.12	-20.62	3.32	49
270	-47.25	-24.38	-1.88	3.32	49
271	33.25	39.38	-16.88	3.31	49
272	-8.75	5.62	73.12	3.31	49
273	54.25	-16.88	-13.12	3.31	98
274	57.75	-31.88	46.88	3.31	49
275	15.75	-20.62	-20.62	3.31	49
276	5.25	-50.62	-5.62	3.31	49
277	43.75	-43.12	9.38	3.30	49
278	8.75	-43.12	-73.12	3.30	49
279	8.75	-58.12	-16.88	3.30	49
280	33.25	-5.62	50.62	3.29	49
281	-43.75	-31.88	54.38	3.29	49
282	36.75	39.38	16.88	3.29	49
283	33.25	20.62	-13.12	3.28	49
284	-19.25	73.12	31.88	3.28	49
285	-50.75	20.62	20.62	3.28	49
286	15.75	-76.88	-16.88	3.28	49
287	1.75	-1.88	-54.38	3.27	49
288	-40.25	-31.88	39.38	3.27	49
289	29.75	31.88	39.38	3.27	49
290	36.75	-50.62	-5.62	3.27	49
291	33.25	-16.88	65.62	3.27	147
292	-19.25	28.12	39.38	3.27	49
293	-22.75	-46.88	-31.88	3.27	49
294	-19.25	-54.38	-9.38	3.27	49
295	22.75	-28.12	69.38	3.27	49
296	43.75	54.38	35.62	3.26	49
297	-5.25	84.38	9.38	3.26	49
298	5.25	35.62	-9.38	3.25	49
299	40.25	-43.12	54.38	3.25	49
300	1.75	-43.12	5.62	3.25	49
301	29.75	-35.62	-20.62	3.25	49
302	22.75	43.12	-9.38	3.24	49
303	-26.25	-1.88	-9.38	3.24	49
304	8.75	-9.38	-76.88	3.24	49
305	47.25	-31.88	-20.62	3.24	98
306	-12.25	-5.62	28.12	3.24	98
307	-26.25	-39.38	-43.12	3.24	49
308	-8.75	-46.88	-9.38	3.24	49
309	-26.25	65.62	35.62	3.23	49
310	-33.25	28.12	-39.38	3.23	49
311	-29.75	-16.88	-1.88	3.23	49
312	50.75	35.62	13.12	3.23	49
313	-19.25	-1.88	-20.62	3.23	49
314	22.75	-39.38	13.12	3.23	98
315	29.75	5.62	13.12	3.23	49
316	43.75	-46.88	-13.12	3.22	49
317	-19.25	-39.38	24.38	3.22	49
318	47.25	9.38	-1.88	3.22	49
319	33.25	31.88	-9.38	3.22	49
320	29.75	-1.88	13.12	3.22	49
321	26.25	-50.62	-16.88	3.21	49
322	-33.25	9.38	35.62	3.21	49
323	33.25	-20.62	-20.62	3.21	49
324	-1.75	-58.12	-43.12	3.21	49
325	-8.75	16.88	-43.12	3.21	49
326	22.75	-54.38	-61.88	3.21	49
327	15.75	13.12	9.38	3.21	49
328	47.25	24.38	-13.12	3.21	49
329	-33.25	-24.38	-43.12	3.21	49
330	36.75	73.12	13.12	3.20	49
331	12.25	-9.38	43.12	3.20	49
332	15.75	-50.62	46.88	3.19	49
333	-22.75	-9.38	-9.38	3.19	49
334	1.75	-35.62	-13.12	3.19	49
335	-43.75	16.88	58.12	3.19	49
336	-43.75	16.88	-1.88	3.19	49
337	-1.75	28.12	-5.62	3.19	98
338	15.75	-46.88	31.88	3.19	49
339	12.25	1.88	-69.38	3.19	49
340	-29.75	-28.12	35.62	3.19	49
341	-54.25	-1.88	13.12	3.19	49
342	-50.75	24.38	46.88	3.18	49
343	-19.25	-13.12	-46.88	3.18	49
344	1.75	-5.62	-20.62	3.18	49
345	15.75	-20.62	65.62	3.18	49
346	-5.25	-46.88	-35.62	3.18	49
347	19.25	-50.62	-13.12	3.18	49
348	-54.25	-9.38	-31.88	3.17	49
349	-15.75	-9.38	35.62	3.17	98
350	-33.25	31.88	13.12	3.17	49
351	26.25	1.88	24.38	3.17	49
352	-1.75	-54.38	-61.88	3.17	49
353	-1.75	-1.88	-20.62	3.16	49
354	-26.25	-50.62	-39.38	3.16	49
355	-19.25	-9.38	5.62	3.16	49
356	-12.25	-1.88	-20.62	3.16	49
357	29.75	-9.38	-28.12	3.16	49
358	-29.75	-13.12	-35.62	3.16	49
359	-26.25	61.88	-5.62	3.16	49
360	29.75	-43.12	50.62	3.16	49
361	5.25	-5.62	-1.88	3.15	49
362	22.75	84.38	1.88	3.15	49
363	-40.25	-73.12	-31.88	3.15	49
364	19.25	28.12	-43.12	3.15	49
365	5.25	-24.38	69.38	3.15	49
366	-50.75	16.88	35.62	3.15	49
367	1.75	80.62	13.12	3.15	49
368	12.25	-20.62	20.62	3.14	49
369	-5.25	-39.38	-9.38	3.14	49
370	-26.25	-28.12	31.88	3.14	49
371	26.25	24.38	35.62	3.14	49
372	-19.25	-20.62	-20.62	3.13	49
373	40.25	5.62	16.88	3.13	49
374	29.75	-24.38	69.38	3.13	49
375	-26.25	43.12	-28.12	3.13	49
376	1.75	35.62	-24.38	3.12	49
377	54.25	1.88	-35.62	3.12	49
378	-19.25	-20.62	5.62	3.12	49
379	29.75	-1.88	1.88	3.11	49
380	33.25	-20.62	-39.38	3.11	49
381	-43.75	58.12	20.62	3.11	49
382	47.25	9.38	-16.88	3.11	49
383	15.75	-69.38	54.38	3.11	49
384	-19.25	-20.62	-1.88	3.11	49
385	-40.25	39.38	43.12	3.11	49
386	-26.25	61.88	16.88	3.10	49
387	22.75	58.12	-5.62	3.10	49
388	29.75	-24.38	1.88	3.10	49
389	33.25	-13.12	58.12	3.10	49
390	-15.75	73.12	13.12	3.10	49
391	26.25	-28.12	9.38	3.10	49
392	19.25	-73.12	-9.38	3.10	49
393	-33.25	-84.38	-1.88	3.10	49
394	15.75	-16.88	-39.38	3.09	49
395	19.25	-20.62	-28.12	3.09	49
396	-1.75	54.38	-9.38	3.09	49

About

• Date preprocessed: 2026-06-13T09:35:16

Build the decoding pipeline

To define the decoding pipeline we use Decoder object, we choose :

• a prediction model, here a Support Vector Classifier, with a linear kernel

• the mask to use, here a ventral temporal ROI in the visual cortex

• although it usually helps to decode better, z-maps time series don’t need to be rescaled to a 0 mean, variance of 1 so we use standardize=False.

• we use univariate feature selection to reduce the dimension of the problem keeping only 5% of voxels which are most informative.

• a cross-validation scheme, here we use LeaveOneGroupOut cross-validation on the runs which corresponds to a leave-one-run-out

We fit directly this pipeline on the Niimgs outputs of the GLM, with corresponding conditions labels and run labels (for the cross validation).

from sklearn.model_selection import LeaveOneGroupOut

from nilearn.decoding import Decoder

decoder = Decoder(
    estimator="svc",
    mask=haxby_dataset.mask,
    standardize=False,
    screening_percentile=5,
    cv=LeaveOneGroupOut(),
    verbose=1,
)
decoder.fit(z_maps, conditions_label, groups=run_label)

# Return the corresponding mean prediction accuracy compared to chance
# for classifying one-vs-all items.

classification_accuracy = np.mean(list(decoder.cv_scores_.values()))
chance_level = 1.0 / len(np.unique(conditions))
print(
    f"Classification accuracy: {classification_accuracy:.4f} / "
    f"Chance level: {chance_level}"
)

\[Decoder.fit] Mask volume = 1.96442e+06mm^3 = 1964.42cm^3
\[Decoder.fit] Standard brain volume = 1.88299e+06mm^3
\[Decoder.fit] Original screening-percentile: 5
\[Decoder.fit] Corrected screening-percentile: 4.79274
\[Decoder.fit] The decoding model will be trained on 1596 features.
\[Decoder.fit] The decoding model will be trained on 1596 features.
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.2s remaining:    0.0s
[Parallel(n_jobs=1)]: Done  96 out of  96 | elapsed:    7.0s finished
Classification accuracy: 0.7530 / Chance level: 0.125

Estimated memory usage: 1052 MB