A5009266404- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Mental Health Research Topics
- Advanced Neuroimaging Techniques and Applications
- EEG and Brain-Computer Interfaces
- Complex Network Analysis Techniques
- Advanced MRI Techniques and Applications
- Neural and Behavioral Psychology Studies
- Nonlinear Dynamics and Pattern Formation
- Neural Networks and Applications
- Bioinformatics and Genomic Networks
- Topological and Geometric Data Analysis
- Advanced Memory and Neural Computing
- Cognitive Science and Mapping
- Opinion Dynamics and Social Influence
- Gene Regulatory Network Analysis
- Health, Environment, Cognitive Aging
- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
- Memory and Neural Mechanisms
- Neurological disorders and treatments
- Neuroscience and Neural Engineering
- Slime Mold and Myxomycetes Research
- Data Visualization and Analytics
- Neural Networks Stability and Synchronization
University of Pennsylvania
2016-2025
Santa Fe Institute
2018-2025
University of the Sciences
2018-2025
Northwestern University
2025
Montreal Neurological Institute and Hospital
2019-2024
McGill University
2019-2024
California University of Pennsylvania
2017-2024
Dartmouth College
2024
Research Network (United States)
2023
Aligning Science Across Parkinson's
2023
Human learning is a complex phenomenon requiring flexibility to adapt existing brain function and precision in selecting new neurophysiological activities drive desired behavior. These two attributes—flexibility selection—must operate over multiple temporal scales as performance of skill changes from being slow challenging fast automatic. Such selective adaptability naturally provided by modular structure, which plays critical role evolution, development, optimal network function. Using...
Schizophrenia has often been conceived as a disorder of connectivity between components large-scale brain networks. We tested this hypothesis by measuring aspects both functional and network topology derived from resting-state fMRI time series acquired at 72 cerebral regions over 17 min 15 healthy volunteers (14 male, 1 female) 12 people diagnosed with schizophrenia (10 2 female). investigated between-group differences in strength diversity the 0.06–0.125 Hz frequency interval, some...
The complex organization of connectivity in the human brain is incompletely understood. Recently, topological measures based on graph theory have provided a new approach to quantify large-scale cortical networks. These methods been applied anatomical data nonhuman species, and networks shown small-world topology, associated with high local global efficiency information transfer. Anatomical derived from thickness measurements same organizational properties healthy brain, consistent similar...
Since initial reports regarding the impact of motion artifact on measures functional connectivity, there has been a proliferation participant-level confound regression methods to limit its impact. However, many most commonly used techniques have not systematically evaluated using broad range outcome measures. Here, we provide systematic evaluation 14 in 393 youths. Specifically, compare according four benchmarks, including residual relationship between and distance-dependent effects network...
Abstract Cognitive function is driven by dynamic interactions between large-scale neural circuits or networks, enabling behaviour. However, fundamental principles constraining these network processes have remained elusive. Here we use tools from control and theories to offer a mechanistic explanation for how the brain moves cognitive states drawn organization of white matter microstructure. Our results suggest that densely connected areas, particularly in default mode system, facilitate...
Brain function depends on adaptive self-organization of large-scale neural assemblies, but little is known about quantitative network parameters governing these processes in humans. Here, we describe the topology and synchronizability frequency-specific brain functional networks using wavelet decomposition magnetoencephalographic time series, followed by construction analysis undirected graphs. Magnetoencephalographic data were acquired from 22 subjects, half whom performed a finger-tapping...
Significance Cognitive flexibility is hypothesized to require dynamic integration between brain areas. However, the time-dependent nature and distributed complexity of this remains poorly understood. Using recent advances in network science, we examine functional areas during a quintessential task that requires executive function. By linking regions (nodes) by their interactions (time-dependent edges), uncover nontrivial modular structure: groups cluster together into densely interconnected...
Magnetic resonance imaging enables the noninvasive mapping of both anatomical white matter connectivity and dynamic patterns neural activity in human brain. We examine relationship between structural properties streamlines (structural connectivity) functional correlations (functional within 84 healthy subjects at rest during performance attention- memory-demanding tasks. show that properties, including length, number, spatial location streamlines, are indicative can be inferred from strength...
We describe techniques for the robust detection of community structure in some classes time-dependent networks. Specifically, we consider use statistical null models facilitating principled identification structural modules semi-decomposable systems. Null play an important role both optimization quality functions such as modularity and subsequent assessment validity identified structure. examine sensitivity methods to model parameters show how comparisons can help identify system scales. By...
The protracted development of structural and functional brain connectivity within distributed association networks coincides with improvements in higher-order cognitive processes such as executive function. However, it remains unclear how white-matter architecture develops during youth to directly support coordinated neural activity. Here, we characterize the structure-function coupling using diffusion-weighted imaging n-back MRI data a sample 727 individuals (ages 8 23 y). We found that...
The human brain's capacity for cognitive function is thought to depend on coordinated activity in sparsely connected, complex networks organized over many scales of space and time. Recent work has demonstrated that brain constructed from neuroimaging data have economical small-world properties confer high efficiency information processing at relatively low connection cost. However, it been unclear how the architecture functioning different frequencies can be related behavioral performance...