1.9k citations · 9k across the 135 of their papers we have counts for
22 papers · 1 filter
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…
Integrating EEG and MEG signals to improve motor imagery classification in brain-computer interfaces
Marie-Constance Corsi, Mario Chavez, Denis Schwartz +4
We propose a fusion approach that combines features from simultaneously recorded electroencephalographic (EEG) and magnetoencephalographic (MEG) signals to improve classification p…
Synchronization Patterns in Networks of Kuramoto Oscillators: A Geometric Approach for Analysis and Control
Lorenzo Tiberi, Chiara Favaretto, Mario Innocenti +2
Synchronization is crucial for the correct functionality of many natural and man-made complex systems. In this work we characterize the formation of synchronization patterns in net…
Individual Differences in Learning Social and Non-Social Network Structures
Steven H. Tompson, Ari E. Kahn, Emily B. Falk +2
Learning about complex associations between pieces of information enables individuals to quickly adjust their expectations and develop mental models. Yet, the degree to which human…
Effective learning is accompanied by high dimensional and efficient representations of neural activity
Evelyn Tang, Marcelo G. Mattar, Chad Giusti +2
A fundamental cognitive process is the ability to map value and identity onto objects as we learn about them. Exactly how such mental constructs emerge and what kind of space best…
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…
Network constraints on learnability of probabilistic motor sequences
Ari E. Kahn, Elisabeth A. Karuza, Jean M. Vettel +1
Human learners are adept at grasping the complex relationships underlying incoming sequential input. In the present work, we formalize complex relationships as graph structures der…
Knowledge gaps in the early growth of semantic networks
Ann E. Sizemore, Elisabeth A. Karuza, Chad Giusti +1
Understanding the features of and mechanisms behind language learning can provide insights into the general process of knowledge acquisition. Recent methods from network science ap…
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…
Network Analysis of Particles and Grains
Lia Papadopoulos, Mason A. Porter, Karen E. Daniels +1
The arrangements of particles and forces in granular materials have a complex organization on multiple spatial scales that ranges from local structures to mesoscale and system-wide…
Development of structural correlations and synchronization from adaptive rewiring in networks of Kuramoto oscillators
Lia Papadopoulos, Jason Kim, Jurgen Kurths +1
Synchronization of non-identical oscillators coupled through complex networks is an important example of collective behavior. It is interesting to ask how the structural organizati…
Parsing spatiotemporal dynamical stability in ECoG during seizure onset, propagation, and termination
Arian Ashourvan, Sérgio Pequito, Ankit N. Khambhati +7
Understanding brain dynamics in epilepsy is critical for establishing rigorous control objectives that enable new therapeutic methods to mitigate seizure occurrence. In multichanne…
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…
On Structural Controllability of Symmetric (Brain) Networks
Tommaso Menara, Shi Gu, Danielle S. Bassett +1
The question of controllability of natural and man-made network systems has recently received considerable attention. In the context of the human brain, the study of controllabilit…
Multi-scale detection of hierarchical community architecture in structural and functional brain networks
Arian Ashourvan, Qawi K. Telesford, Timothy Verstynen +2
Community detection algorithms have been widely used to study the organization of complex systems like the brain. A principal appeal of these techniques is their ability to identif…
Dynamic Graph Metrics: Tutorial, Toolbox, and Tale
Ann E. Sizemore, Danielle S. Bassett
The central nervous system is composed of many individual units -- from cells to areas -- that are connected with one another in a complex pattern of functional interactions that s…
Topological Principles of Control in Dynamical Network Systems
Jason Kim, Jonathan M. Soffer, Ari E. Kahn +3
Networked systems display complex patterns of interactions between a large number of components. In physical networks, these interactions often occur along structural connections t…
Process reveals structure: How a network is traversed mediates expectations about its architecture
Elisabeth A. Karuza, Ari E. Kahn, Sharon L. Thompson-Schill +1
Network science has emerged as a powerful tool through which we can study the higher-order architectural properties of the world around us. How human learners exploit this informat…
Brain State Flexibility Accompanies Motor-Skill Acquisition
Pranav G. Reddy, Marcelo G. Mattar, Andrew C. Murphy +4
Learning requires the traversal of inherently distinct cognitive states to produce behavioral adaptation. Yet, tools to explicitly measure these states with non-invasive imaging --…
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…
Control of Dynamics in Brain Networks
Evelyn Tang, Danielle S. Bassett
The ability to effectively control brain dynamics holds great promise for the enhancement of cognitive function in humans, and the betterment of their quality of life. Yet, success…