998 citations · 1.5k across the 15 of their papers we have counts for
19 papers
Network Clustering Via Kernel-ARMA Modeling and the Grassmannian The Brain-Network Case
Cong Ye, Konstantinos Slavakis, Pratik V. Patil +3
This paper introduces a clustering framework for networks with nodes annotated with time-series data. The framework addresses all types of network-clustering problems: State cluste…
Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian
Cong Ye, Konstantinos Slavakis, Pratik V. Patil +2
Recent advances in neuroscience and in the technology of functional magnetic resonance imaging (fMRI) and electro-encephalography (EEG) have propelled a growing interest in brain-n…
Data-driven brain network models predict individual variability in behavior
Kanika Bansal, John D. Medaglia, Danielle S. Bassett +2
The relationship between brain structure and function has been probed using a variety of approaches, but how the underlying structural connectivity of the human brain drives behavi…
Implementing a Concept Network Model
Sarah H. Solomon, John D. Medaglia, Sharon L. Thompson-Schill
The same concept can mean different things or be instantiated in different forms depending on context, suggesting a degree of flexibility within the conceptual system. We propose t…
Moral attitudes and willingness to induce cognitive enhancement and repair with brain stimulation
John D. Medaglia, David Yaden, Chelsea Helion +1
The availability of technological means to enhance and repair human cognitive function raises questions about the perceived morality of their use. In this study, we administered a…
Clarifying Cognitive Control and the Controllable Connectome
John D. Medaglia
Cognitive control researchers aim to describe the processes that support adaptive cognition to achieve specific goals. Control theorists consider how to influence the state of syst…
Network Controllability in the IFG Relates to Controlled Language Variability and Susceptibility to TMS
John D. Medaglia, Denise Y. Harvey, Nicole White +2
In language production, humans are confronted with considerable word selection demands. Often, we must select a word from among similar, acceptable, and competing alternative words…
Inter-regional ECoG correlations predicted by communication dynamics, geometry, and correlated gene expression
Richard F. Betzel, John D. Medaglia, Ari E. Kahn +3
Electrocorticography (ECoG) provides direct measurements of synchronized postsynaptic potentials at the exposed cortical surface. Patterns of signal covariance across ECoG sensors…
Diversity of meso-scale architecture in human and non-human connectomes
Richard F. Betzel, John D. Medaglia, Danielle S. Bassett
The brain's functional diversity is reflected in the meso-scale architecture of its connectome, i.e. its division into clusters and communities of topologically-related brain regio…
Network Analyses and Nervous System Disorders
John D. Medaglia, Danielle S. Bassett
Network analyses in nervous system disorders involves constructing and analyzing anatomical and functional brain networks from neuroimaging data to describe and predict the clinica…
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…
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…
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…
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…
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…
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…
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…
Flexible Traversal Through Diverse Brain States Underlies Executive Function in Normative Neurodevelopment
John D. Medaglia, Theodore D. Satterthwaite, Tyler M. Moore +4
Adolescence is marked by rapid development of executive function. Mounting evidence suggests that executive function in adults may be driven by dynamic control of neurophysiologica…
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…