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Distributed harmonic patterns of structure-function dependence orchestrate human consciousness

delete2023-01-28
delete24
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OA
AI
A
Andrea I. Luppi *
J
Jakub Vohryzek
M
Morten L. Kringelbach
P
Pedro A. M. Mediano
M
Michael M Craig
R
R. Adapa
R
Robin Carhart‐Harris
L
Leor Roseman
I
Ioannis Pappas
A
Alexander R. D. Peattie
A
Anne E. Manktelow
B
Barbara J. Sahakian
P
Paola Finoia
G
Guy Williams
J
Judith Allanson
J
John D. Pickard
D
David Menon
S
Selen Atasoy
E
Emmanuel A. Stamatakis
DOI:10.1038/s42003-023-04474-1delete
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摘要

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En 中文
Connectome harmonic decomposition analysis reveals how neuromodulation and the network architecture of the human connectome jointly shape consciousness and distributed functional activation across scales. A central question in neuroscience is how consciousness arises from the dynamic interplay of brain structure and function. Here we decompose functional MRI signals from pathological and pharmacologically-induced perturbations of consciousness into distributed patterns of structure-function dependence across scales: the harmonic modes of the human structural connectome. We show that structure-function coupling is a generalisable indicator of consciousness that is under bi-directional neuromodulatory control. We find increased structure-function coupling across scales during loss of consciousness, whether due to anaesthesia or brain injury, capable of discriminating between behaviourally indistinguishable sub-categories of brain-injured patients, tracking the presence of covert consciousness. The opposite harmonic signature characterises the altered state induced by LSD or ketamine, reflecting psychedelic-induced decoupling of brain function from structure and correlating with physiological and subjective scores. Overall, connectome harmonic decomposition reveals how neuromodulation and the network architecture of the human connectome jointly shape consciousness and distributed functional activation across scales.
Keyword:
HUMAN CONNECTOME
BRAIN ACTIVITY
ANESTHESIA EMERGENCE
INADEQUATE EMERGENCE
CONNECTIVITY
SIGNAL
DISORDERS
NETWORKS
PROPOFOL
MODEL
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Communications Biology 封面图
Communications Biology
IF:
5.1
论文数:
1.0W
被引数:
3.2W

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U
university of california san francisco
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U
University of Cambridge
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university of oxford
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Pompeu Fabra University
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Imperial College London
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