998 citations · 1.6k across the 16 of their papers we have counts for
21 papers · 1 filter
Flexibility of brain regions during working memory curtails cognitive consequences to lack of sleep
Nina Lauharatanahirun, Kanika Bansal, Steven M. Thurman +7
Previous research has shown a clear relationship between sleep and memory, examining the impact of sleep deprivation on key cognitive processes over very short durations or in spec…
Scale-specific dynamics of large-amplitude bursts in EEG capture behaviorally meaningful variability
Kanika Bansal, Javier O. Garcia, Nina Lauharatanahirun +3
Cascading large-amplitude bursts in neural activity, termed avalanches, are thought to provide insight into the complex spatially distributed interactions in neural systems. In hum…
Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior
Jennifer Stiso, Marie-Constance Corsi, Jean M. Vettel +5
Motor imagery-based brain-computer interfaces (BCIs) use an individuals ability to volitionally modulate localized brain activity as a therapy for motor dysfunction or to probe cau…
Functional brain network architecture supporting the learning of social networks in humans
Steven H. Tompson, Ari E. Kahn, Emily B. Falk +2
Most humans have the good fortune to live their lives embedded in richly structured social groups. Yet, it remains unclear how humans acquire knowledge about these social structure…
Cognitive chimera states in human brain networks
Kanika Bansal, Javier O. Garcia, Steven H. Tompson +3
The human brain is a complex dynamical system that gives rise to cognition through spatiotemporal patterns of coherent and incoherent activity between brain regions. As different r…
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…
Global Brain Dynamics During Social Exclusion Predict Subsequent Behavioral Conformity
Nick Wasylyshyn, Brett Hemenway, Javier O. Garcia +6
Individuals react differently to social experiences; for example, people who are more sensitive to negative social experiences, such as being excluded, may be more likely to adapt…
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…
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…
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…
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…
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…
The Energy Landscape Underpinning Module Dynamics in the Human Brain Connectome
Arian Ashourvan, Shi Gu, Marcelo G. Mattar +2
Human brain dynamics can be profitably viewed through the lens of statistical mechanics, where neurophysiological activity evolves around and between local attractors representing…
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…
Animated 3D Human Models for Use in Person Recognition Experiments
Jean M. Vettel, Justin Kantner, Matthew Jaswa +1
The development of increasingly realistic experimental stimuli and task environments is important for understanding behavior outside the laboratory. We report a process for generat…
Temporal and Semantic Effects on Multisensory Integration
Jean M. Vettel, Julia R. Green, Laurie Heller +1
How do we integrate modality-specific perceptual information arising from the same physical event into a coherent percept? One possibility is that observers rely on information acr…
Estimating direction in brain-behavior interactions: Proactive and reactive brain states in driving
Javier O. Garcia, Justin Brooks, Scott Kerick +3
Conventional neuroimaging analyses have revealed the computational specificity of localized brain regions, exploiting the power of the subtraction technique in fMRI and event-relat…
A novel method linking neural connectivity to behavioral fluctuations: Behavior-Regressed Connectivity
Antony D. Passaro, Jean M. Vettel, Jonathan McDaniel +3
Background: During an experimental session, behavioral performance fluctuates, yet most neuroimaging analyses of functional connectivity derive a single connectivity pattern. These…
Structural Pathways Supporting Swift Acquisition of New Visuo-Motor Skills
Ari E. Kahn, Marcelo G. Mattar, Jean M. Vettel +3
Human skill learning requires fine-scale coordination of distributed networks of brain regions that are directly linked to one another by white matter tracts to allow for effective…
Stimulation-based control of dynamic brain networks
Sarah Feldt Muldoon, Fabio Pasqualetti, Shi Gu +4
The ability to modulate brain states using targeted stimulation is increasingly being employed to treat neurological disorders and to enhance human performance. Despite the growing…
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…