Keyword search (4,163 papers available)

"Schmahmann JD" Authored Publications:

Title Authors PubMed ID
1 Intrinsic structural covariation links cerebellum subregions to the cerebral cortex Wang Z; Diedrichsen J; Saltoun K; Steele C; Arnold-Anteraper SR; Yeo BTT; Schmahmann JD; Bzdok D; 39052236
PSYCHOLOGY

 

Title:Intrinsic structural covariation links cerebellum subregions to the cerebral cortex
Authors:Wang ZDiedrichsen JSaltoun KSteele CArnold-Anteraper SRYeo BTTSchmahmann JDBzdok D
Link:https://pubmed.ncbi.nlm.nih.gov/39052236/
DOI:10.1152/jn.00164.2024
Publication:Journal of neurophysiology
Keywords:CerebellumCerebral CortexPheWASStructural Covariation
PMID:39052236 Category: Date Added:2024-07-26
Dept Affiliation: PSYCHOLOGY
1 Department of Biomedical Engineering, McGill University, Montreal, Canada.
2 Brain and Mind Institute, Western University, London, Canada.
3 Department of Psychology, Concordia University, Montreal, Canada.
4 University of Illinois Urbana-Champaign, Urbana, United States.
5 Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore.
6 Harvard Medical School, Boston, United States.

Description:

The human cerebellum is increasingly recognized to be involved in non-motor and higher-order cognitive functions. Yet, its ties with the entire cerebral cortex have not been holistically studied in a whole-brain exploration with a unified analytical framework. Here, we characterized dissociable cortical-cerebellar structural covariation patterns based on regional gray matter volume (GMV) across the brain in n=38,527 UK Biobank participants. Our results invigorate previous observations in that important shares of cortical-cerebellar structural covariation are described as i) a dissociation between the higher-level cognitive system and lower-level sensorimotor system, as well as ii) an anticorrelation between the visual-attention system and advanced associative networks within the cerebellum. We also discovered a novel pattern of ipsilateral, rather than contralateral, cerebral-cerebellar associations. Furthermore, phenome-wide association assays revealed key phenotypes, including cognitive phenotypes, lifestyle, physical properties, and blood assays, associated with each decomposed covariation pattern, helping to understand their real-world implications. This systems neuroscience view paves the way for future studies to explore the implications of these structural covariations, potentially illuminating new pathways in our understanding of neurological and cognitive disorders.





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