4.8 Article

Spatial and Temporal Organization of the Individual Human Cerebellum

期刊

NEURON
卷 100, 期 4, 页码 977-+

出版社

CELL PRESS
DOI: 10.1016/j.neuron.2018.10.010

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资金

  1. NIH [5T32 MH100019-02, NS088590, TR000448, MH100872, MH109589, MH104592, 1P30NS098577, HD087011]
  2. Jacobs Foundation [2016121703]
  3. Child Neurology Foundation
  4. McDonnell Center for Systems Neuroscience
  5. Mallinckrodt Institute of Radiology [14-011]
  6. Hope Center for Neurological Disorders
  7. Dart Neuroscience LLC
  8. EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT [U54HD087011] Funding Source: NIH RePORTER
  9. NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES [UL1TR000448, UL1TR002345] Funding Source: NIH RePORTER
  10. NATIONAL INSTITUTE OF MENTAL HEALTH [T32MH100019, F30MH100872, K01MH104592] Funding Source: NIH RePORTER
  11. NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [P30NS098577, K23NS088590] Funding Source: NIH RePORTER

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The cerebellum contains the majority of neurons in the human brain and is unique for its uniform cytoarchitecture, absence of aerobic glycolysis, and role in adaptive plasticity. Despite anatomical and physiological differences between the cerebellum and cerebral cortex, group-average functional connectivity studies have identified networks related to specific functions in both structures. Recently, precision functional mapping of individuals revealed that functional networks in the cerebral cortex exhibit measurable individual specificity. Using the highly sampled Midnight Scan Club (MSC) dataset, we found the cerebellum contains reliable, individual-specific network organization that is significantly more variable than the cerebral cortex. The frontoparietal network, thought to support adaptive control, was the only network over-represented in the cerebellum compared to the cerebral cortex (2.3-fold). Temporally, all cerebellar resting state signals lagged behind the cerebral cortex (125-380 ms), supporting the hypothesis that the cerebellum engages in a domain-general function in the adaptive control of all cortical processes.

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