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  Intrinsic structural covariation links cerebellum subregions to the cerebral cortex

Wang, Z., Diedrichsen, J., Saltoun, K., Steele, C., Arnold-Anteraper, S. R., Yeo, B. T., et al. (2024). Intrinsic structural covariation links cerebellum subregions to the cerebral cortex. bioRxiv. doi:10.1101/2024.02.16.580701.

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Wang, Zilong, Autor
Diedrichsen, Jörn, Autor
Saltoun, Karin, Autor
Steele, Christopher1, Autor                 
Arnold-Anteraper, Sheeba Rani, Autor
Yeo, B.T. Thomas, Autor
Schmahmann, Jeremy, Autor
Bzdok, Danilo, Autor
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

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 Zusammenfassung: 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 disso-ciable cortical-cerebellar structural covariation patterns across the brain in n=38,527 UK Bio-bank participants. Our results invigorate previous observations in that important shares of corti-cal-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 neurosci-ence view paves the way for future studies to explore the implications of these structural covaria-tions, potentially illuminating new pathways in our understanding of neurological and cognitive disorders.

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Sprache(n): eng - English
 Datum: 2024-02-20
 Publikationsstatus: Online veröffentlicht
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 Identifikatoren: DOI: 10.1101/2024.02.16.580701
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Titel: bioRxiv
Genre der Quelle: Webseite
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