Resting-state functional MRI: everything that nonexperts have always wanted to know
H Lv, Z Wang, E Tong, LM Williams… - American Journal …, 2018 - Am Soc Neuroradiology
Resting-state fMRI was first described by Biswal et al in 1995 and has since then been
widely used in both healthy subjects and patients with various neurologic, neurosurgical …
widely used in both healthy subjects and patients with various neurologic, neurosurgical …
[HTML][HTML] The virtual epileptic patient: individualized whole-brain models of epilepsy spread
Individual variability has clear effects upon the outcome of therapies and treatment
approaches. The customization of healthcare options to the individual patient should …
approaches. The customization of healthcare options to the individual patient should …
Macroscopic resting-state brain dynamics are best described by linear models
It is typically assumed that large networks of neurons exhibit a large repertoire of nonlinear
behaviours. Here we challenge this assumption by leveraging mathematical models derived …
behaviours. Here we challenge this assumption by leveraging mathematical models derived …
The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core
In the human brain, spontaneous activity during resting state consists of rapid transitions
between functional network states over time but the underlying mechanisms are not …
between functional network states over time but the underlying mechanisms are not …
A graph signal processing perspective on functional brain imaging
Modern neuroimaging techniques provide us with unique views on brain structure and
function; ie, how the brain is wired, and where and when activity takes place. Data acquired …
function; ie, how the brain is wired, and where and when activity takes place. Data acquired …
Learning how network structure shapes decision-making for bio-inspired computing
To better understand how network structure shapes intelligent behavior, we developed a
learning algorithm that we used to build personalized brain network models for 650 Human …
learning algorithm that we used to build personalized brain network models for 650 Human …
From maps to multi-dimensional network mechanisms of mental disorders
The development of advanced neuroimaging techniques and their deployment in large
cohorts has enabled an assessment of functional and structural brain network architecture at …
cohorts has enabled an assessment of functional and structural brain network architecture at …
Transmission time delays organize the brain network synchronization
S Petkoski, VK Jirsa - Philosophical Transactions of the …, 2019 - royalsocietypublishing.org
The timing of activity across brain regions can be described by its phases for oscillatory
processes, and is of crucial importance for brain functioning. The structure of the brain …
processes, and is of crucial importance for brain functioning. The structure of the brain …
Inferring multi-scale neural mechanisms with brain network modelling
The neurophysiological processes underlying non-invasive brain activity measurements are
incompletely understood. Here, we developed a connectome-based brain network model …
incompletely understood. Here, we developed a connectome-based brain network model …
Estimation of directed effective connectivity from fMRI functional connectivity hints at asymmetries of cortical connectome
M Gilson, R Moreno-Bote… - PLoS computational …, 2016 - journals.plos.org
The brain exhibits complex spatio-temporal patterns of activity. This phenomenon is
governed by an interplay between the internal neural dynamics of cortical areas and their …
governed by an interplay between the internal neural dynamics of cortical areas and their …