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Patterns of Cerebellar-Cortical Structural Covariance Mirror Anatomical Connectivity of Sensorimotor and Cognitive Networks

Author(s): Alasmar Z; Chakravarty MM; Penhune VB; Steele CJ;

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 indivi ...

Article GUID: 39791308


Alzheimer's Imaging Consortium

Author(s): 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;

Background: Alzheimer's disease (AD) is thought to result from a complex cascade of events involving several pathological processes. Recent studies have reported alterations in white matter (WM) microstructure in the early phase of AD, but WM remains understudied. We used a multivariate appro ...

Article GUID: 39782998


Biomarkers

Author(s): 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;

Background: Alzheimer's disease (AD) is thought to result from a complex cascade of events involving several pathological processes. Recent studies have reported alterations in white matter (WM) microstructure in the early phase of AD, but WM remains understudied. We used a multivariate appro ...

Article GUID: 39785351


MVComp toolbox: MultiVariate Comparisons of brain MRI features accounting for common information across metrics

Author(s): Tremblay SA; Alasmar Z; Pirhadi A; Carbonell F; Iturria-Medina Y; Gauthier CJ; Steele CJ;

Multivariate approaches have recently gained in popularity to address the physiological unspecificity of neuroimaging metrics and to better characterize the complexity of biological processes underlying behavior. However, commonly used approaches are biased by the intrinsic associations between variables, or they are computationally expensive and may be m ...

Article GUID: 38463982


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