There is a newer version of the record available.

Published July 2, 2020 | Version 2.1
Dataset Open

A whole-cortex probabilistic diffusion tractography connectome

  • 1. University of California, San Diego

Description

This is a collection of the results data for the eNeuro article of the same name, https://doi.org/10.1523/ENEURO.0416-20.2020. Please cite this publication when using these data. Files with the .mat extension are matlab v7.3 files. The raw data from which these data were derived are available from https://db.humanconnectome.org and https://f-tract.eu.

Notes

This work was supported by NIMH 1RF1MH117155-01and 5T32MH020002-19, NINDS 1R01NS109553-01A1, and ONR 00014-16-4761-2415. Data were provided, in part, by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. Data were provided, in part, by the Functional Brain Tractography Project, funded by the European Research Council. We thank Adam Niese and the San Diego Supercomputer Center for providing technical support.

Files

averageConnectivity_Fpt.csv

Files (2.6 GB)

Name Size Download all
md5:d0c0dde471dd48d61d3428839f15fb74
37.4 kB Download
md5:219433842fb32c12b2e60d2b9e313230
1.0 MB Preview Download
md5:87da3c7b2faa72e0215b240680e77710
1.1 MB Download
md5:abdfec7a54c5656bf6cfaee3fc8ce2a8
1.1 MB Download
md5:a64cac1c38f8b5f121aefe9029cca20b
1.1 MB Download
md5:498de49ea005b9801e3849cd1a2b8976
358.4 kB Preview Download
md5:a9ba2eb9c2afb55857fda807cdf139cd
6.5 MB Download
md5:ae6313cccb166263557d44644f22c529
13.9 kB Download
md5:1ee96d00649e854962dbcd382a40ea95
1.1 MB Download
md5:8c325cda61abde401e4b68b02e8e7ad9
23.8 kB Download
md5:a410bd5c028dd17886dff2831723e691
99.6 MB Download
md5:02c633fb53c895d0ecad7cca02fb21a6
56.4 MB Download
md5:ed09c1240789ec506d7f3a6f82d8f3c8
87.8 kB Download
md5:c1c5f9a45471f71729dbc6b263848a5e
305.1 kB Download
md5:e1d12f99260df3b6b1e57a95ed206154
79.3 kB Download
md5:97410343246f93072007dc772c4ddfd1
8.6 kB Download
md5:b450a34c84686e1bd1c632a54c2df57a
1.1 MB Download
md5:9e327548d29668a297bc1718dd61738d
60.8 MB Download
md5:1a767a4413302f7671e6db167dea064a
1.0 MB Download
md5:7c234f9e709bdedd1e2cfdad26a24415
4.0 MB Download
md5:5ebdcf00f1b5b43a2518b8fbd1813b9d
1.0 GB Download
md5:292460a078b31d6eaa4629008cdb6e20
323.3 MB Download
md5:2502c48d22e1fc2dd9f4084b7bce4534
998.3 MB Download
md5:46a102b59b2fb1bb4bd62d51bf02e975
1.3 MB Download
md5:14b8cea1f91dc2d49965a02429232cd2
158.0 kB Download
md5:20cd4a8495fad481b0a5f7e9ba0f4a28
168.7 kB Download
md5:75e96b331940227bbcb07c1c791c2463
1.3 MB Download
md5:48eda64acf5b1884394465d50e443c66
502 Bytes Preview Download

Additional details

Related works

Is supplemented by
Preprint: 10.1101/2020.06.22.166041 (DOI)