347 citations · 1.4k across the 25 of their papers we have counts for
29 papers
Quantifying the compressibility of the human brain
Nicholas J. Weaver, Joshua I. Faskowitz, Richard F. Betzel +1
In the human brain, the allowed patterns of activity are constrained by the correlations between brain regions. Yet it remains unclear which correlations -- and how many -- are nee…
Cortical network reconfiguration aligns with shifts of basal ganglia and cerebellar influence
Kimberly Nestor
Mammalian functional architecture flexibly adapts, transitioning from integration where information is distributed across the cortex, to segregation where information is focal in d…
Modular Boundaries in Recurrent Neural Networks
Jacob Tanner, Sina Mansour L., Ludovico Coletta +2
Recent theoretical and experimental work in neuroscience has focused on the representational and dynamical character of neural manifolds --subspaces in neural activity space wherei…
High-Accuracy Machine Learning Techniques for Functional Connectome Fingerprinting and Cognitive State Decoding
Andrew Hannum, Mario A. Lopez, Saúl A. Blanco +1
The human brain is a complex network comprised of functionally and anatomically interconnected brain regions. A growing number of studies have suggested that empirical estimates of…
Diurnal variations of resting-state fMRI data: A graph-based analysis
Farzad V. Farahani, Waldemar Karwowski, Mark D Esposito +5
Circadian rhythms synchronize a variety of physiological processes ranging from neural activity and hormone secretion to sleep cycles and feeding habits. Despite significant diurna…
Modularity maximization as a flexible and generic framework for brain network exploratory analysis
Farnaz Zamani Esfahlani, Youngheun Jo, Maria Grazia Puxeddu +6
The modular structure of brain networks supports specialized information processing, complex dynamics, and cost-efficient spatial embedding. Inter-individual variation in modular s…
Edges in Brain Networks: Contributions to Models of Structure and Function
Joshua Faskowitz, Richard F. Betzel, Olaf Sporns
Network models describe the brain as sets of nodes and edges that represent its distributed organization. So far, most discoveries in network neuroscience have prioritized insights…
Community detection in network neuroscience
Richard F. Betzel
Many real-world networks, including nervous systems, exhibit meso-scale structure. This means that their elements can be grouped into meaningful sub-networks. In general, these sub…
Network neuroscience and the connectomics revolution
Richard Betzel
Connectomics and network neuroscience offer quantitative scientific frameworks for modeling and analyzing networks of structurally and functionally interacting neurons, neuronal po…
Brain state stability during working memory is explained by network control theory, modulated by dopamine D1/D2 receptor function, and diminished in schizophrenia
Urs Braun, Anais Harneit, Giulio Pergola +15
Dynamical brain state transitions are critical for flexible working memory but the network mechanisms are incompletely understood. Here, we show that working memory entails brainwi…
Stability of spontaneous, correlated activity in mouse auditory cortex
Richard F. Betzel, Katherine C. Wood, Christopher Angeloni +2
Neural systems can be modeled as networks of functionally connected neural elements. The resulting network can be analyzed using mathematical tools from network science and graph t…
Genetic and Neuroanatomical Support for Functional Brain Network Dynamics in Epilepsy
Pranav G. Reddy, Richard F. Betzel, Ankit N. Khambhati +6
Focal epilepsy is a devastating neurological disorder that affects an overwhelming number of patients worldwide, many of whom prove resistant to medication. The efficacy of current…
Temporal sequences of brain activity at rest are constrained by white matter structure and modulated by cognitive demands
Eli J. Cornblath, Arian Ashourvan, Jason Z. Kim +13
A diverse white matter network and finely tuned neuronal membrane properties allow the brain to transition seamlessly between cognitive states. However, it remains unclear how stat…
The specificity and robustness of long-distance connections in weighted, interareal connectomes
Richard F. Betzel, Danielle S. Bassett
Brain areas' functional repertoires are shaped by their incoming and outgoing structural connections. In empirically measured networks, most connections are short, reflecting spati…
Generative Models for Network Neuroscience: Prospects and Promise
Richard F. Betzel, Danielle S. Bassett
Network neuroscience is the emerging discipline concerned with investigating the complex patterns of interconnections found in neural systems, and to identify principles with which…
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…
Benchmarking measures of network controllability on canonical graph models
Elena Wu-Yan, Richard F. Betzel, Evelyn Tang +3
Many real-world systems are composed of many individual components that interact with one another in a complex pattern to produce diverse behaviors. Understanding how to intervene…
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…
Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth
Graham L. Baum, Rastko Ciric, David R. Roalf +12
The human brain is organized into large-scale functional modules that have been shown to evolve in childhood and adolescence. However, it remains unknown whether structural brain n…
Multi-scale brain networks
Richard F. Betzel, Danielle S. Bassett
The network architecture of the human brain has become a feature of increasing interest to the neuroscientific community, largely because of its potential to illuminate human cogni…
Cliques and Cavities in the Human Connectome
Ann Sizemore, Chad Giusti, Ari Kahn +2
Encoding brain regions and their connections as a network of nodes and edges captures many of the possible paths along which information can be transmitted as humans process and pe…
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…
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…
A positive mood, a flexible brain
Richard F. Betzel, Theodore D. Satterthwaite, Joshua I. Gold +1
Flexible reconfiguration of human brain networks supports cognitive flexibility and learning. However, modulating flexibility to enhance learning requires an understanding of the r…