MegaTrawls Network Matrices HCP#


See nilearn.datasets.fetch_megatrawls_netmats.


Contains network matrices data of two types, full correlation and partial correlation which were estimated using each subject specific timeseries signals extracted from group of ICA nodes or parcellations. In total, 461 functional connectivity datasets were used to obtain these matrices and is part of HCP Megatrawls release.

The number of nodes available for download are 25, 50, 100, 200, 300 with combination of two variants of timeseries extraction methods, multiple spatial regression (ts2) and eigen regression (ts3).

These matrices can be used to predict the relationships between subjects functional connectivity datasets and their behavioural measures. Both can be downloaded from HCP connectome website under conditions. See disclaimer below.

More information available in Smith et al.[1], Smith et al.[2], Filippini et al.[3], Smith et al.[4], and O’Reilly et al.[5].



contains given input in dimensions used in fetching data.


contains given specific timeseries method used in fetching data.


contains given specific type of matrices name.


contains correlation network matrices data.


For more technical details about predicting the measures, refer to: Stephen Smith et al, HCP beta-release of the Functional Connectivity MegaTrawl. April 2015 “HCP500-MegaTrawl” release.


IMPORTANT: This is open access data. You must agree to Terms and conditions of using this data before using it, available at:

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