1.9k citations · 9k across the 135 of their papers we have counts for
24 papers · 1 filter
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…
Finding the needle in high-dimensional haystack: A tutorial on canonical correlation analysis
Hao-Ting Wang, Jonathan Smallwood, Janaina Mourao-Miranda +4
Since the beginning of the 21st century, the size, breadth, and granularity of data in biology and medicine has grown rapidly. In the example of neuroscience, studies with thousand…
Network architecture of energy landscapes in mesoscopic quantum systems
Abigail N. Poteshman, Evelyn Tang, Lia Papadopoulos +2
Mesoscopic quantum systems exhibit complex many-body quantum phenomena, where interactions between spins and charges give rise to collective modes and topological states. Even simp…
Evolution of semantic networks in biomedical texts
Lucy R. Chai, Danielle S. Bassett
Language is hierarchically organized: words are built into phrases, sentences, and paragraphs to represent complex ideas. Here we ask whether the organization of language in writte…
Learning differentially reorganizes brain activity and connectivity
Maxwell A Bertolero, Azeez Adebimpe, Ankit N. Khambhati +4
Human learning is a complex process in which future behavior is altered via the reorganization of brain activity and connectivity. It remains unknown whether activity and connectiv…
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…
The physics of brain network structure, function, and control
Christopher W. Lynn, Danielle S. Bassett
The brain is a complex organ characterized by heterogeneous patterns of structural connections supporting unparalleled feats of cognition and a wide range of behaviors. New noninva…
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…
Network models in neuroscience
Danielle S. Bassett, Perry Zurn, Joshua I. Gold
From interacting cellular components to networks of neurons and neural systems, interconnected units comprise a fundamental organizing principle of the nervous system. Understandin…
Influence of Neighborhood SES on Functional Brain Network Development
Ursula A. Tooley, Allyson P. Mackey, Rastko Ciric +6
Higher socioeconomic status (SES) in childhood is associated with increased cognitive abilities, higher academic achievement, and decreased incidence of mental illness later in dev…
Network neuroscience for optimizing brain-computer interfaces
Fabrizio De Vico Fallani, Danielle S. Bassett
Human-machine interactions are being increasingly explored to create alternative ways of communication and to improve our daily life. Based on a classification of the user's intent…
Spatial Embedding Imposes Constraints on the Network Architectures of Neural Systems
Jennifer Stiso, Danielle Bassett
A fundamental understanding of the network architecture of the brain is necessary for the further development of theories explicating circuit function. Perhaps as a derivative of i…
Invertible generalized synchronization: A putative mechanism for implicit learning in biological and artificial neural systems
Zhixin Lu, Danielle S. Bassett
Regardless of the marked differences between biological and artificial neural systems, one fundamental similarity is that they are essentially dynamical systems that can learn to i…
The importance of the whole: topological data analysis for the network neuroscientist
Ann E. Sizemore, Jennifer Phillips-Cremins, Robert Ghrist +1
The application of network techniques to the analysis of neural data has greatly improved our ability to quantify and describe these rich interacting systems. Among many important…
The landscape of NeuroImage-ing research
Jordan D. Dworkin, Russell T. Shinohara, Danielle S. Bassett
As the field of neuroimaging grows, it can be difficult for scientists within the field to gain and maintain a detailed understanding of its ever-changing landscape. While collabor…
Stability Conditions for Cluster Synchronization in Networks of Heterogeneous Kuramoto Oscillators
Tommaso Menara, Giacomo Baggio, Danielle S. Bassett +1
In this paper we study cluster synchronization in networks of oscillators with heterogenous Kuramoto dynamics, where multiple groups of oscillators with identical phases coexist in…
White Matter Network Architecture Guides Direct Electrical Stimulation Through Optimal State Transitions
Jennifer Stiso, Ankit N. Khambhati, Tommaso Menara +10
Electrical brain stimulation is currently being investigated as a therapy for neurological disease. However, opportunities to optimize such therapies are challenged by the fact tha…
Conformational Control of Mechanical Networks
Jason Z. Kim, Zhixin Lu, Steven H. Strogatz +1
Understanding conformational change is crucial for programming and controlling the function of many mechanical systems such as allosteric enzymes and tunable metamaterials. Of part…
Abstract representations of events arise from mental errors in learning and memory
Christopher W. Lynn, Ari E. Kahn, Nathaniel Nyema +1
Humans are adept at uncovering abstract associations in the world around them, yet the underlying mechanisms remain poorly understood. Intuitively, learning the higher-order struct…
The emergent integrated network structure of scientific research
Jordan D. Dworkin, Russell T. Shinohara, Danielle S. Bassett
The practice of scientific research is often thought of as individuals and small teams striving for disciplinary advances. Yet as a whole, this endeavor more closely resembles a co…
A mechanistic model of connector hubs, modularity, and cognition
Maxwell A. Bertolero, B. T. T. Yeo, Danielle S. Bassett +1
The human brain network is modular--comprised of communities of tightly interconnected nodes. This network contains local hubs, which have many connections within their own communi…
Surges of collective human activity emerge from simple pairwise correlations
Christopher W. Lynn, Lia Papadopoulos, Daniel D. Lee +1
Human populations exhibit complex behaviors---characterized by long-range correlations and surges in activity---across a range of social, political, and technological contexts. Yet…
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…
Sex differences in network controllability as a predictor of executive function in youth
Eli J. Cornblath, Evelyn Tang, Graham L. Baum +7
Executive function emerges late in development and displays different developmental trends in males and females. Sex differences in executive function in youth have been linked to…