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The Cellular Underpinnings of the Human Cortical Connectome.
Zhang, Xi-Han; Anderson, Kevin M; Dong, Hao-Ming; Chopra, Sidhant; Dhamala, Elvisha; Emani, Prashant S; Margulies, Daniel; Holmes, Avram J.
Afiliação
  • Zhang XH; Department of Psychology, Yale University, New Haven, CT, USA.
  • Anderson KM; Department of Psychology, Yale University, New Haven, CT, USA.
  • Dong HM; Department of Psychology, Yale University, New Haven, CT, USA.
  • Chopra S; Department of Psychology, Yale University, New Haven, CT, USA.
  • Dhamala E; Department of Psychology, Yale University, New Haven, CT, USA.
  • Emani PS; Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.
  • Margulies D; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
  • Holmes AJ; CNRS, Integrative Neuroscience and Cognition Center (UMR 8002), Université de Paris, Paris, France.
bioRxiv ; 2023 Jul 06.
Article em En | MEDLINE | ID: mdl-37461642
ABSTRACT
The functional properties of the human brain arise, in part, from the vast assortment of cell types that pattern the cortex. The cortical sheet can be broadly divided into distinct networks, which are further embedded into processing streams, or gradients, that extend from unimodal systems through higher-order association territories. Here, using transcriptional data from the Allen Human Brain Atlas, we demonstrate that imputed cell type distributions are spatially coupled to the functional organization of cortex, as estimated through fMRI. Cortical cellular profiles follow the macro-scale organization of the functional gradients as well as the associated large-scale networks. Distinct cellular fingerprints were evident across networks, and a classifier trained on post-mortem cell-type distributions was able to predict the functional network allegiance of cortical tissue samples. These data indicate that the in vivo organization of the cortical sheet is reflected in the spatial variability of its cellular composition.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article