Keyword search (4,163 papers available)

"Chakravarty MM" Authored Publications:

Title Authors PubMed ID
1 Characterizing spatiotemporal white matter hyperintensity pathophysiology in vivo to disentangle vascular and neurodegenerative contributions Parent O; Alasmar Z; Osborne S; Bussy A; Costantino M; Fouquet JP; Quesada D; Pastor-Bernier A; Fajardo-Valdez A; Pichet-Binette A; McQuarrie A; Maranzano J; Devenyi GA; Steele CJ; Villeneuve S; ; Dadar M; Chakravarty MM; 41916976
PSYCHOLOGY
2 Biomarkers Zhou J; Wearn A; Huck J; Hughes CS; Baracchini G; Sylvain E; Tremblay-Mercier J; Poirier J; Breitner JCSCS; Villeneuve S; Chakravarty MM; Tardif CL; Gauthier CJ; Daugherty AM; Turner GR; Spreng RN; 41499788
ENCS
3 The PREVENT-AD cohort: Accelerating Alzheimer s disease research and treatment in Canada and beyond Villeneuve S; Poirier J; Breitner JCS; Tremblay-Mercier J; Remz J; Raoult JM; Yakoub Y; Gallego-Rudolf J; Qiu T; Fajardo Valdez A; Mohammediyan B; Javanray M; Metz A; Sanami S; Ourry V; Wearn A; Pastor-Bernier A; Edde M; Gonneaud J; Strikwerda-Brown C; Tardif CL; Gauthier CJ; Descoteaux M; Dadar M; Vachon-Presseau É; Baril AA; Ducharme S; Montembeault M; Geddes MR; Soucy JP; Rajah N; Laforce R; Bocti C; Davatzikos C; Bellec L; Rosa-Neto P; Baillet S; Evans AC; Collins DL; Chakravarty MM; Blennow K; Zetterbe 41020412
SOH
4 The PREVENT-AD cohort: accelerating Alzheimer s disease research and treatment in Canada and beyond Villeneuve S; Poirier J; Breitner JCS; Tremblay-Mercier J; Remz J; Raoult JM; Yakoub Y; Gallego-Rudolf J; Qiu T; Valdez AF; Mohammediyan B; Javanray M; Metz A; Sanami S; Ourry V; Wearn A; Pastor-Bernier A; Edde M; Gonneaud J; Strikwerda-Brown C; Tardif CL; Gauthier CJ; Descoteaux M; Dadar M; Vachon-Presseau É; Baril AA; Ducharme S; Montembeault M; Geddes MR; Soucy JP; Rajah N; Laforce R; Bocti C; Davatzikos C; Bellec L; Rosa-Neto P; Baillet S; Evans AC; Collins DL; Chakravarty MM; Blennow K; Zetterberg H; S 40778177
PSYCHOLOGY
5 Characterizing spatiotemporal white matter hyperintensity pathophysiology in vivo to disentangle vascular and neurodegenerative contributions Parent O; Alasmar Z; Osborne S; Bussy A; Costantino M; Fouquet JP; Quesada D; Pastor-Bernier A; Fajardo-Valdez A; Pichet-Binette A; McQuarrie A; Maranzano J; Devenyi GA; Steele CJ; Villeneuve S; ; Dadar M; Chakravarty MM; 40585093
PSYCHOLOGY
6 Sex and APOE4-specific links between cardiometabolic risk factors and white matter alterations in individuals with a family history of Alzheimer s disease Tremblay SA; Nathan Spreng R; Wearn A; Alasmar Z; Pirhadi A; Tardif CL; Chakravarty MM; Villeneuve S; Leppert IR; Carbonell F; Medina YI; Steele CJ; Gauthier CJ; 40086421
PSYCHOLOGY
7 Patterns of Cerebellar-Cortical Structural Covariance Mirror Anatomical Connectivity of Sensorimotor and Cognitive Networks Alasmar Z; Chakravarty MM; Penhune VB; Steele CJ; 39791308
SOH
8 Alzheimer's Imaging Consortium Tremblay SA; Spreng RN; Wearn A; Alasmar Z; Pirhadi A; Tardif CL; Chakravarty MM; Villeneuve S; Leppert IR; Carbonell F; Medina YI; Steele CJ; Gauthier CJ; 39782998
CONCORDIA
9 Biomarkers Tremblay SA; Spreng RN; Wearn A; Alasmar Z; Pirhadi A; Tardif CL; Chakravarty MM; Villeneuve S; Leppert IR; Carbonell F; Medina YI; Steele CJ; Gauthier CJ; 39785351
CONCORDIA
10 Iron Deposition and Distribution Across the Hippocampus Is Associated with Pattern Separation and Pattern Completion in Older Adults at Risk for Alzheimer's Disease Zhou J; Wearn A; Huck J; Hughes C; Baracchini G; Tremblay-Mercier J; Poirier J; Villeneuve S; Tardif CL; Chakravarty MM; Daugherty AM; Gauthier CJ; Turner GR; Spreng RN; 38388425
PSYCHOLOGY
11 Mapping pontocerebellar connectivity with diffusion MRI Rousseau PN; Chakravarty MM; Steele CJ; 36252913
PERFORM
12 Early musical training shapes cortico-cerebellar structural covariation Shenker JJ; Steele CJ; Chakravarty MM; Zatorre RJ; Penhune VB; 34657166
PSYCHOLOGY
13 Investigating microstructural variation in the human hippocampus using non-negative matrix factorization. Patel R, Steele CJ, Chen A, Patel S, Devenyi GA, Germann J, Tardif CL, Chakravarty MM 31715254
PSYCHOLOGY
14 Regional cerebellar volumes are related to early musical training and finger tapping performance. Baer LH, Park MT, Bailey JA, Chakravarty MM, Li KZ, Penhune VB 25583606
PSYCHOLOGY
15 A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson׳s disease cohort. Xiao Y, Fonov V, Chakravarty MM, Beriault S, Al Subaie F, Sadikot A, Pike GB, Bertrand G, Collins DL 28491942
PERFORM

 

Title:Patterns of Cerebellar-Cortical Structural Covariance Mirror Anatomical Connectivity of Sensorimotor and Cognitive Networks
Authors:Alasmar ZChakravarty MMPenhune VBSteele CJ
Link:https://pubmed.ncbi.nlm.nih.gov/39791308/
DOI:10.1002/hbm.70079
Publication:Human brain mapping
Keywords:cerebellumcortical decompositionnormative modelingsimilarity analysisstructural covariance
PMID:39791308 Category: Date Added:2025-01-10
Dept Affiliation: SOH
1 Department of Psychology, Concordia University, Montreal, Quebec, Canada.
2 School of Health, Concordia University, Montreal, Quebec, Canada.
3 Cerebral Imaging Center, Douglas Mental Health University Institute, Montreal, Quebec, Canada.
4 Department of Psychiatry, McGill University, Montreal, Quebec, Canada.
5 Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
6 International Laboratory for Brain, Music, and Sound Research (BRAMS), Montreal, Quebec, Canada.
7 Center for Research in Brain, Language, and Music (CRBLM), Montreal, Quebec, Canada.
8 Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Description:

The cortex and cerebellum are densely connected through reciprocal input/output projections that form segregated circuits. These circuits are shown to differentially connect anterior lobules of the cerebellum to sensorimotor regions, and lobules Crus I and II to prefrontal regions. This differential connectivity pattern leads to the hypothesis that individual differences in structure should be related, especially for connected regions. To test this hypothesis, we examined covariation between the volumes of anterior sensorimotor and lateral cognitive lobules of the cerebellum and measures of cortical thickness (CT) and surface area (SA) across the whole brain in a sample of 270 young adults drawn from the HCP dataset. We observed that patterns of cerebellar-cortical covariance differed between sensorimotor and cognitive networks. Anterior motor lobules of the cerebellum showed greater covariance with sensorimotor regions of the cortex, while lobules Crus I and Crus II showed greater covariance with frontal and temporal regions. Interestingly, cerebellar volume showed predominantly negative relationships with CT and predominantly positive relationships with SA. Individual differences in SA are thought to be largely under genetic control while CT is thought to be more malleable by experience. This suggests that cerebellar-cortical covariation for SA may be a more stable feature, whereas covariation for CT may be more affected by development. Additionally, similarity metrics revealed that the pattern of covariance showed a gradual transition between sensorimotor and cognitive lobules, consistent with evidence of functional gradients within the cerebellum. Taken together, these findings are consistent with known patterns of structural and functional connectivity between the cerebellum and cortex. They also shed new light on possibly differing relationships between cerebellar volume and cortical thickness and surface area. Finally, our findings are consistent with the interactive specialization framework which proposes that structurally and functionally connected brain regions develop in concert.





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