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20142022
most citedControllability of Brain Networks

998 citations · 1.7k across the 16 of their papers we have counts for

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Showing q-bio.NCShow all

11 papers · 1 filter

q-bio.NC2022★ 1 cited

Control Theory Illustrates the Energy Efficiency in the Dynamic Reconfiguration of Functional Connectivity

Shikuang Deng, Jingwei Li, B. T. Thomas Yeo +1

The brain's functional connectivity fluctuates over time instead of remaining steady in a stationary mode even during the resting state. This fluctuation establishes the dynamical…

q-bio.NC2016★ 22 cited

Explicitly Linking Regional Activation and Function Connectivity: Community Structure of Weighted Networks with Continuous Annotation

Andrew C. Murphy, Shi Gu, Ankit N. Khambhati +4

A major challenge in neuroimaging is understanding the mapping of neurophysiological dynamics onto cognitive functions. Traditionally, these maps have been constructed by examining…

q-bio.NC2016

The Energy Landscape Underpinning Module Dynamics in the Human Brain Connectome

Arian Ashourvan, Shi Gu, Marcelo G. Mattar +2

Human brain dynamics can be profitably viewed through the lens of statistical mechanics, where neurophysiological activity evolves around and between local attractors representing…

q-bio.NC2016

Autaptic Connections Shift Network Excitability and Bursting

Laura Wiles, Shi Gu, Fabio Pasqualetti +2

Network architecture forms a critical constraint on neuronal function. Here we examine the role of structural autapses, when a neuron synapses onto itself, in driving network-wide…

q-bio.NC2016★ 17 cited

The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure

Shi Gu, Matthew Cieslak, Benjamin Baird +4

A critical mystery in neuroscience lies in determining how anatomical structure impacts the complex functional dynamics of human thought. How does large-scale brain circuitry const…

q-bio.NC2016★ 5 cited

Optimal Trajectories of Brain State Transitions

Shi Gu, Richard F. Betzel, Matthew Cieslak +4

The complexity of neural dynamics stems in part from the complexity of the underlying anatomy. Yet how the organization of white matter architecture constrains how the brain transi…

q-bio.NC2016★ 174 cited

Developmental increases in white matter network controllability support a growing diversity of brain dynamics

Evelyn Tang, Chad Giusti, Graham Baum +10

As the human brain develops, it increasingly supports coordinated control of neural activity. The mechanism by which white matter evolves to support this coordination is not well u…

q-bio.NC2016★ 9 cited

Cognitive Control in the Controllable Connectome

John D. Medaglia, Shi Gu, Fabio Pasqualetti +4

Cognition is supported by neurophysiological processes that occur both in local anatomical neighborhoods and in distributed large-scale circuits. Recent evidence from network contr…

q-bio.NC2016★ 241 cited

Optimally controlling the human connectome: the role of network topology

Richard F. Betzel, Shi Gu, John D. Medaglia +2

To meet ongoing cognitive demands, the human brain must seamlessly transition from one brain state to another, in the process drawing on different cognitive systems. How does the b…

q-bio.NC2016

Stimulation-based control of dynamic brain networks

Sarah Feldt Muldoon, Fabio Pasqualetti, Shi Gu +4

The ability to modulate brain states using targeted stimulation is increasingly being employed to treat neurological disorders and to enhance human performance. Despite the growing…

q-bio.NC2014★ 998 cited

Controllability of Brain Networks

Shi Gu, Fabio Pasqualetti, Matthew Cieslak +2

Cognitive function is driven by dynamic interactions between large-scale neural circuits or networks, enabling behavior. Fundamental principles constraining these dynamic network p…