English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Analyses of microstructural variation in the human striatum using non-negative matrix factorization

Robert, C., Patel, R., Blostein, N., Steele, C., & Chakravarty, M. M. (2022). Analyses of microstructural variation in the human striatum using non-negative matrix factorization. NeuroImage, 246: 118744. doi:10.1016/j.neuroimage.2021.118744.

Item is

Basic

show hide
Genre: Journal Article

Files

show Files
hide Files
:
Robert_2021.pdf (Publisher version), 3MB
Name:
Robert_2021.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Robert, Corinne1, Author
Patel, Raihaan1, 2, Author
Blostein, Nadia1, 3, Author
Steele, Christopher4, 5, Author              
Chakravarty, M. Mallar1, 2, 3, 6, Author
Affiliations:
1Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montréal, QC, Canada, ou_persistent22              
2Department of Biomedical Engineering, Douglas Mental Health University Institute, McGill University, Montréal, QC, Canada, ou_persistent22              
3Integrated Program in Neuroscience, McGill University, Montréal, QC, Canada, ou_persistent22              
4Department of Psychology, Concordia University, Montréal, QC, Canada, ou_persistent22              
5Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
6Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montréal, QC, Canada, ou_persistent22              

Content

show
hide
Free keywords: Striatum; Non-negative matrix factorization; Multimodal; Microstructure; Franctional anisotropy; Mean diffusivity; T1w/T2w
 Abstract: The striatum is a major subcortical connection hub that has been heavily implicated in a wide array of motor and cognitive functions. Here, we developed a normative multimodal, data-driven microstructural parcellation of the striatum using non-negative matrix factorization (NMF) based on multiple magnetic resonance imaging-based metrics (mean diffusivity, fractional anisotropy, and the ratio between T1- and T2-weighted structural scans) from the Human Connectome Project Young Adult dataset (n = 329 unrelated participants, age range: 22–35, F/M: 185/144). We further explored the biological and functional relationships of this parcellation by relating our findings to motor and cognitive performance in tasks known to involve the striatum as well as demographics. We identified 5 spatially distinct striatal components for each hemisphere. We also show the gain in component stability when using multimodal versus unimodal metrics. Our findings suggest distinct microstructural patterns in the human striatum that are largely symmetric and that relate mostly to age and sex. Our work also highlights the putative functional relevance of these striatal components to different designations based on a Neurosynth meta-analysis.

Details

show
hide
Language(s): eng - English
 Dates: 2021-11-082021-07-152021-11-182021-11-272022-02-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.neuroimage.2021.118744
Other: epub 2021
PMID: 34848302
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: NeuroImage
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 246 Sequence Number: 118744 Start / End Page: - Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166