Brain and Intelligence Lab
Brain and Intelligence Lab
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Network controllability of structural connectomes in the neonatal brain
White matter connectivity supports diverse cognitive demands by efficiently constraining dynamic brain activity. This efficiency can be …
Sun, Huili
,
Jiang, Rongtao
,
Dai, Wei
,
Dufford, Alexander J
,
Noble, Stephanie
,
Spann, Marisa N
,
Gu Shi
,
Scheinost, Dustin
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Controllability of Functional Brain Networks and Its Clinical Significance in First-Episode Schizophrenia
$\mathbf{Background}$ $\mathbf{and}$ $\mathbf{Hypothesis}$
Disrupted control of brain state transitions may contribute to the diverse …
Li Qian
,
Yao Li
,
You Wanfang
,
Liu Jiang
,
Deng Shikuang
,
Li Bin
,
Luo Lekai
,
Zhao Youjin
,
Wang Yuxia
,
Wang Yaxuan
,
others
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Network controllability mediates the relationship between rigid structure and flexible dynamics
Precisely how the anatomical structure of the brain supports a wide range of complex functions remains a question of marked importance …
Gu Shi
,
Fotiadis Panagiotis
,
Parkes Linden
,
Xia Cedric H
,
Gur Ruben C
,
Gur Raquel E
,
Roalf David R
,
Satterthwaite Theodore D
,
Bassett Dani S
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Control theory illustrates the energy efficiency in the dynamic reconfiguration of functional connectivity
The brain’s functional connectivity fluctuates over time instead of remaining steady in a stationary mode even during the resting …
Deng Shikuang
,
Li Jingwei
,
Thomas Yeo BT
,
Gu Shi
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Age-associated network controllability changes in first episode drug-naive schizophrenia
$\mathbf{Background }$
Recent neuroimaging studies revealed dysregulated neurodevelopmental, or/and neurodegenerative trajectories of …
BiqiuTang
,
WenjingZhang
,
ShikuangDeng
,
JiangLiu
,
NaHu
,
QiyongGong
,
ShiGu
,
SuLui
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Detecting brain lesions in suspected acute ischemic stroke with CT-based synthetic MRI using generative adversarial networks
$\mathbf{Background}$
Difficulties in detecting brain lesions in acute ischemic stroke (AIS) have convinced researchers to use computed …
Hu Na
,
Zhang Tianwei
,
Wu Yifan
,
Tang Biqiu
,
Li Minlong
,
Song Bin
,
Gong Qiyong
,
Wu Min
,
Gu Shi
,
Lui Su
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A unified framework for generalized low-shot medical image segmentation with scarce data
Medical image segmentation has achieved remarkable advancements using deep neural networks (DNNs). However, DNNs often need big amounts …
Cui Hengji
,
Wei Dong
,
Ma Kai
,
Gu Shi
,
Zheng Yefeng
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Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states
A major challenge in neuroscience is determining a quantitative relationship between the brain’s white matter structural connectivity …
Ashourvan Arian
,
Shah Preya
,
Pines Adam
,
Gu Shi
,
Lynn Christopher W
,
Bassett Danielle S
,
Davis Kathryn A
,
Litt Brian
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Measurement reliability for individual differences in multilayer network dynamics:Cautions and considerations
Multilayer network models have been proposed as an effective means of capturing the dynamic configuration of distributed neural …
Yang Zhen
,
Telesford Qawi K
,
Franco Alexandre R
,
Lim Ryan
,
Gu Shi
,
Xu Ting
,
Ai Lei
,
Castellanos Francisco X
,
Yan Chao-Gan
,
Colcombe Stan
,
Michael P. Milham
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Optimization of energy state transition trajectory supports the development of executive function during youth
Executive function develops during adolescence, yet it remains unknown how structural brain networks mature to facilitate activation of …
Cui Zaixu
,
Stiso Jennifer
,
Baum Graham L
,
Kim Jason Z
,
Roalf David R
,
Betzel Richard F
,
Gu Shi
,
Lu Zhixin
,
Xia Cedric H
,
He Xiaosong
,
others
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