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SUMMARY:Hierarchical modular organization in the brain: segregation\, inte
 gration and their balance underlying cognitive diversity  - Prof. Changson
 g Zhou. Department of Physics\, Centre for Nonlinear Studies\, Institute o
 f Computational and Theoretical Studies\, Life Science Imaging Centre\, Ho
 ng Kong Baptist University.
DTSTART:20260305T120000Z
DTEND:20260305T150000Z
UID:TALK245338@talks.cam.ac.uk
CONTACT:Petra Vertes
DESCRIPTION:Register here: https://cam-ac-uk.zoom.us/meeting/register/L-el
 j_xQTTCtXbc7NxgdZA\n\nThe brain is a highly nonlinear complex network syst
 em supporting diverse cognitive abilities. The locally segregated and glob
 ally integrated processing are the two basic foundations to cognition. How
 ever\, how does the brain organizes the effective processing of neural inf
 ormation in the local and global scales\, so as to support diverse cogniti
 ve tasks is not well understood. A physical hypothesis is that the brain s
 ystem is in a dynamic critical state at rest and can support the balance o
 f separation and integration in supporting diverse cognitive abilities. Ho
 wever\, there has been no clear evidence on whether the resting brain is i
 n the segregation-integration balance at the whole-brain scale\, and how i
 t is associated to diverse cognitive abilities. \n\nWe address the above o
 pen interdisciplinary question using an eigenmode-based approach to identi
 fy hierarchical modules in structural and functional brain networks by com
 bining large-scale model and fMRI data. The structural brain network displ
 ays hierarchal modular organization inherently supporting multilevel segre
 gation and integration modes. We found that the critical state can best re
 cruit such hierarchal modes to maximize the diversity in the functional co
 nnectivity. In a large sample of healthy young adults (n=991) from the Hum
 an Connectome Project (HCP)\, we demonstrate that resting brain functional
  networks are on average close to a balanced state. This state allows for 
 a balanced time dwelling at segregated and integrated configurations\, and
  highly flexible switching between them. Meanwhile\, we demonstrate that n
 etwork segregation\, integration and their balance in resting brains predi
 ct individual differences in diverse cognitive phenotypes. We also show th
 at weak links\, which are largely ignored in network neuroscience\, play c
 rucial role in supporting the segregation-integration balance and cognitiv
 e functions. Our findings provide a systems level understanding of the bra
 in’s functioning principles in supporting diverse functional demands and
  cognitive abilities\, and advance modern network neuroscience theories of
  human cognition\, which may shed light on dysfunctional segregation and i
 ntegration in neurodegenerative diseases and neuropsychiatric disorders. E
 xamples of application of the framework to stress and ADHD are briefly pre
 sented. \n\nReferences: \n\n[1]	R. Wang\, P. Lin\, M.X. Liu\, Y. Wu\, T. Z
 hou and C.S. Zhou. Hierarchical Connectome Modes and Critical State Jointl
 y Maximize Human Brain Functional Diversity. Phys. Rev. Lett. 123\, 038301
  (2019). \n\n[2]	R. Wang+\, M.X. Liu+\, X. Cheng\, Y. Wu\, A. Hildebrandt\
 , and C.S. Zhou. Segregation\, integration and balance of large-scale rest
 ing brain networks configure different cognitive abilities. Proc Natl Acad
  Sci USA\, 118 (23)\, e2022288118 (2021). \n\n[3]	R. Wang\, S.S. Zeng\, C.
 S. Zhou* and R.J. Yu*\, Acute stress promotes brain network integration an
 d reduces state transition variability\, Proc Natl Acad Sci USA\,  119 (24
 )\, e2204144119 (2022).\n\n[4]	R. Wang*\, Y.C. Fan\, Y. Wu\, Y.-F. Zang\, 
 C.S. Zhou*\, Lifespan associations of resting-state brain functional netwo
 rks with ADHD symptoms\, iScience\, 25 (7) (2022).\n\n[5]	R. Wang\, Chang\
 , Z.\, Liu\, X.\, Kristanto\, D.\, Guy Gartner\, É.\, Liu\, X.\, Liu\, M.
 \, Wu\, Y.\, Lui\, M.\, & Zhou\, C. (2025). Weak but influential: Nonlinea
 r contributions of structural connectivity to human cognitive abilities an
 d brain functions.（ https://arxiv.org/abs/2505.24125)
LOCATION:Online. 
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