[HTML][HTML] Probing rapid network reorganization of motor and language functions via neuromodulation and neuroimaging

G Hartwigsen, LJ Volz - Neuroimage, 2021 - Elsevier
Motor and cognitive functions are organized in large-scale networks in the human brain that
interact to enable flexible adaptation of information exchange to ever-changing …

Structure and function in artificial, zebrafish and human neural networks

P Ji, Y Wang, T Peron, C Li, J Nagler, J Du - Physics of Life Reviews, 2023 - Elsevier
Network science provides a set of tools for the characterization of the structure and
functional behavior of complex systems. Yet a major problem is to quantify how the structural …

Time-evolving controllability of effective connectivity networks during seizure progression

BH Scheid, A Ashourvan, J Stiso… - Proceedings of the …, 2021 - National Acad Sciences
Over one third of the estimated 3 million people with epilepsy in the United States are
medication resistant. Responsive neurostimulation from chronically implanted electrodes …

A network control theory pipeline for studying the dynamics of the structural connectome

L Parkes, JZ Kim, J Stiso, JK Brynildsen, M Cieslak… - Nature protocols, 2024 - nature.com
Network control theory (NCT) is a simple and powerful tool for studying how network
topology informs and constrains the dynamics of a system. Compared to other structure …

Sex differences in network controllability as a predictor of executive function in youth

EJ Cornblath, E Tang, GL Baum, TM Moore… - NeuroImage, 2019 - Elsevier
Executive function is a quintessential human capacity that emerges late in development and
displays different developmental trends in males and females. Sex differences in executive …

Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states

G Deco, J Cabral, VM Saenger, M Boly, E Tagliazucchi… - Neuroimage, 2018 - Elsevier
Human neuroimaging research has revealed that wakefulness and sleep involve very
different activity patterns. Yet, it is not clear why brain states differ in their dynamical …

Personalized brain network models for assessing structure–function relationships

K Bansal, J Nakuci, SF Muldoon - Current Opinion in Neurobiology, 2018 - Elsevier
Highlights•Personalized brain network models combine brain structure with mathematical
modeling.•Construction of models involves multiple different strategies and assumptions.• …

neurolib: A simulation framework for whole-brain neural mass modeling

C Cakan, N Jajcay, K Obermayer - Cognitive Computation, 2023 - Springer
Abstract neurolib is a computational framework for whole-brain modeling written in Python. It
provides a set of neural mass models that represent the average activity of a brain region on …

Models of communication and control for brain networks: distinctions, convergence, and future outlook

P Srivastava, E Nozari, JZ Kim, H Ju, D Zhou… - Network …, 2020 - direct.mit.edu
Recent advances in computational models of signal propagation and routing in the human
brain have underscored the critical role of white-matter structure. A complementary …

[HTML][HTML] Personalizing repetitive transcranial magnetic stimulation for precision depression treatment based on functional brain network controllability and optimal …

F Fang, B Godlewska, RY Cho, SI Savitz, S Selvaraj… - NeuroImage, 2022 - Elsevier
Brain neuromodulation effectively treats neurological diseases and psychiatric disorders
such as Depression. However, due to patient heterogeneity, neuromodulation treatment …