Concurrent white matter bundles and grey matter networks using independent component analysis

NeuroImage
Jonathan O'Muircheartaigh, Saad Jbabdi

Abstract

Developments in non-invasive diffusion MRI tractography techniques have permitted the investigation of both the anatomy of white matter pathways connecting grey matter regions and their structural integrity. In parallel, there has been an expansion in automated techniques aimed at parcellating grey matter into distinct regions based on functional imaging. Here we apply independent component analysis to whole-brain tractography data to automatically extract brain networks based on their associated white matter pathways. This method decomposes the tractography data into components that consist of paired grey matter 'nodes' and white matter 'edges', and automatically separates major white matter bundles, including known cortico-cortical and cortico-subcortical tracts. We show how this framework can be used to investigate individual variations in brain networks (in terms of both nodes and edges) as well as their associations with individual differences in behaviour and anatomy. Finally, we investigate correspondences between tractography-based brain components and several canonical resting-state networks derived from functional MRI.

Citations

May 12, 2018·ELife·Rogier B MarsSaad Jbabdi
Oct 9, 2019·Topics in Magnetic Resonance Imaging : TMRI·David HuntColin Studholme
Dec 21, 2018·Brain Structure & Function·Rogier B MarsKatherine L Bryant
Nov 25, 2018·Brain Structure & Function·Suhas VijayakumarRogier B Mars
Oct 20, 2020·Frontiers in Neuroinformatics·Narciso López-LópezPamela Guevara
Feb 27, 2018·Entropy·Mujahid N Syed
Mar 19, 2021·Brain : a Journal of Neurology·Michael EyreA David Edwards
Sep 12, 2021·NeuroImage·Jennifer Stine ElamDavid C Van Essen
Sep 4, 2021·Communications Biology·Victor NozaisMichel Thiebaut de Schotten

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Methods Mentioned

BETA
PCA
dissection

Software Mentioned

FMRIB ICA Xnoiseifier FIX
bedpostX
Matlab
Freesurfer
MIGP
probtrackx2

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