Metastable dynamics of neural circuits and networks
BAW Brinkman, H Yan, A Maffei, IM Park… - Applied Physics …, 2022 - pubs.aip.org
Cortical neurons emit seemingly erratic trains of action potentials or “spikes,” and neural
network dynamics emerge from the coordinated spiking activity within neural circuits. These …
network dynamics emerge from the coordinated spiking activity within neural circuits. These …
Functional connectivity of the brain across rodents and humans
Resting-state functional magnetic resonance imaging (rs-fMRI), which measures the
spontaneous fluctuations in the blood oxygen level-dependent (BOLD) signal, is …
spontaneous fluctuations in the blood oxygen level-dependent (BOLD) signal, is …
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 …
Applications of community detection techniques to brain graphs: Algorithmic considerations and implications for neural function
The human brain can be represented as a graph in which neural units such as cells or small
volumes of tissue are heterogeneously connected to one another through structural or …
volumes of tissue are heterogeneously connected to one another through structural or …
Music in premature infants enhances high-level cognitive brain networks
L Lordier, DE Meskaldji, F Grouiller… - Proceedings of the …, 2019 - National Acad Sciences
Neonatal intensive care units are willing to apply environmental enrichment via music for
preterm newborns. However, no evidence of an effect of music on preterm brain …
preterm newborns. However, no evidence of an effect of music on preterm brain …
Temporal sequences of brain activity at rest are constrained by white matter structure and modulated by cognitive demands
A diverse set of white matter connections supports seamless transitions between cognitive
states. However, it remains unclear how these connections guide the temporal progression …
states. However, it remains unclear how these connections guide the temporal progression …
Regression dynamic causal modeling for resting‐state fMRI
Abstract “Resting‐state” functional magnetic resonance imaging (rs‐fMRI) is widely used to
study brain connectivity. So far, researchers have been restricted to measures of functional …
study brain connectivity. So far, researchers have been restricted to measures of functional …
[HTML][HTML] A generative model of whole-brain effective connectivity
The development of whole-brain models that can infer effective (directed) connection
strengths from fMRI data represents a central challenge for computational neuroimaging. A …
strengths from fMRI data represents a central challenge for computational neuroimaging. A …
Triple network model dynamically revisited: lower salience network state switching in pre-psychosis
TAW Bolton, D Wotruba, R Buechler… - Frontiers in …, 2020 - frontiersin.org
Emerging evidence has attributed altered network coordination between the default mode,
central executive, and salience networks (DMN/CEN/SAL) to disturbances seen in …
central executive, and salience networks (DMN/CEN/SAL) to disturbances seen in …
Large-scale brain network dynamics provide a measure of psychosis and anxiety in 22q11. 2 deletion syndrome
Background Prodromal positive psychotic symptoms and anxiety are two strong risk factors
for schizophrenia in 22q11. 2 deletion syndrome (22q11DS). The analysis of large-scale …
for schizophrenia in 22q11. 2 deletion syndrome (22q11DS). The analysis of large-scale …