activity
20142020
most citedControllability of Brain Networks

998 citations · 1.5k across the 15 of their papers we have counts for

collaborators
Showing 2016Show all

7 papers · 1 filter

q-bio.QM2016

Functional Hypergraph Uncovers Novel Covariant Structures over Neurodevelopment

Shi Gu, Muzhi Yang, John D. Medaglia +4

Brain development during adolescence is marked by substantial changes in brain structure and function, leading to a stable network topology in adulthood. However, most prior work h…

q-bio.NC2016★ 6 cited

Functional Alignment with Anatomical Networks is Associated with Cognitive Flexibility

John D. Medaglia, Weiyu Huang, Elisabeth A. Karuza +3

Cognitive flexibility describes the human ability to switch between modes of mental function to achieve goals. Mental switching is accompanied by transient changes in brain activit…

q-bio.NC2016

Mind Control as a Guide for the Mind

John D. Medaglia, Perry Zurn, Walter Sinnott-Armstrong +1

The human brain is a complex network that supports mental function. The nascent field of network neuroscience applies tools from mathematics to neuroimaging data in the hopes of sh…

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

Brain and Cognitive Reserve: Translation via Network Control Theory

John D. Medaglia, Fabio Pasqualetti, Roy H. Hamilton +2

Traditional approaches to understanding the brain's resilience to neuropathology have identified neurophysiological variables, often described as brain or cognitive 'reserve,' asso…

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★ 4 cited

Brain network efficiency is influenced by pathological source of corticobasal syndrome

John D. Medaglia, Weiyu Huang, Santiago Segarra +6

Multimodal neuroimaging studies of corticobasal syndrome using volumetric MRI and DTI successfully discriminate between Alzheimer's disease and frontotemporal lobar degeneration bu…