most citedBrain Network Adaptability Across Task States

138 citations · 240 across the 7 of their papers we have counts for

collaborators

7 papers

q-bio.NC20162 cited

Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity

Danielle S. Bassett, Ankit N. Khambhati, Scott T. Grafton

Neuroengineering is faced with unique challenges in repairing or replacing complex neural systems that are composed of many interacting parts. These interactions form intricate pat…

q-bio.NC201622 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.NC20165 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.NC201662 cited

Individual Differences in Dynamic Functional Brain Connectivity Across the Human Lifespan

Elizabeth N. Davison, Benjamin O. Turner, Kimberly J. Schlesinger +4

Individual differences in brain functional networks may be related to complex personal identifiers, including health, age, and ability. Understanding and quantifying these differen…

q-bio.NC2014138 cited

Brain Network Adaptability Across Task States

Elizabeth N. Davison, Kimberly J. Schlesinger, Danielle S. Bassett +4

Activity in the human brain moves between diverse functional states to meet the demands of our dynamic environment, but fundamental principles guiding these transitions remain poor…

q-bio.NC20142 cited

Learning about Learning: Human Brain Sub-Network Biomarkers in fMRI Data

Petko Bogdanov, Nazli Dereli, Danielle S. Bassett +2

It has become increasingly popular to study the brain as a network due to the realization that functionality cannot be explained exclusively by independent activation of specialize…