Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks

Nature Communications, Journal Year: 2018, Volume and Issue: 9(1)

Published: July 24, 2018

Frequency-specific oscillations and phase-coupling of neuronal populations are essential mechanisms for the coordination activity between brain areas during cognitive tasks. Therefore, ongoing ascribed to different functional networks should also be able reorganise coordinate via similar mechanisms. We develop a novel method identifying large-scale phase-coupled network dynamics show that resting in magnetoencephalography well characterised by visits short-lived transient states, with spatially distinct patterns oscillatory power coherence specific frequency bands. Brain states identified sensory, motor higher-order networks. The include posterior alpha (8-12 Hz) an anterior delta/theta range (1-7 network, both exhibiting high correspond subdivisions default mode network. Our results cortical have characteristic signatures very bands, possibly reflecting specialisation at intrinsic timescales.

Language: Английский

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Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI

NeuroImage, Journal Year: 2019, Volume and Issue: 194, P. 82 - 92

Published: March 19, 2019

Language: Английский

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International Federation of Clinical Neurophysiology (IFCN) – EEG research workgroup: Recommendations on frequency and topographic analysis of resting state EEG rhythms. Part 1: Applications in clinical research studies

Clinical Neurophysiology, Journal Year: 2019, Volume and Issue: 131(1), P. 285 - 307

Published: Sept. 19, 2019

In 1999, the International Federation of Clinical Neurophysiology (IFCN) published "IFCN Guidelines for topographic and frequency analysis EEGs EPs" (Nuwer et al., 1999). Here a Workgroup IFCN experts presents unanimous recommendations on following procedures relevant resting state (rsEEGs) in clinical research defined as neurophysiological experimental studies carried out neurological psychiatric patients: (1) recording rsEEGs (environmental conditions instructions to participants; montage EEG electrodes; settings); (2) digital storage rsEEG control data; (3) computerized visualization data (identification artifacts neuropathological waveforms); (4) extraction "synchronization" features based (band-pass filtering computation amplitude/power density spectrum); (5) "connectivity" (linear nonlinear measures); (6) "topographic" (topographic mapping; cortical source estimation scalp current dura surface potential; connectivity mapping), (7) statistical interpretation those features. As core outcomes, endorsed use most promising research, carefully considering limitations discussed this paper. The also encourages more (i.e. simulation studies) within international initiatives (i.e., shared software platforms databases) facing open controversies about electrode montages linear vs. levels analyses.

Language: Английский

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Brain States and Transitions: Insights from Computational Neuroscience

Cell Reports, Journal Year: 2020, Volume and Issue: 32(10), P. 108128 - 108128

Published: Sept. 1, 2020

Within the field of computational neuroscience there are great expectations finding new ways to rebalance complex dynamic system human brain through controlled pharmacological or electromagnetic perturbation. Yet many obstacles remain between ability accurately predict how and where best perturb force a transition from one state another. The foremost challenge is commonly agreed definition given state. Recent progress in has made it possible robustly define states transitions them. Here, we review art propose framework for determining functional hierarchical organization describing any We describe latest advances creating sophisticated whole-brain models with interacting neuronal neurotransmitter systems that can be studied fully silico design novel interventions them disease.

Language: Английский

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Electrophysiological Brain Connectivity: Theory and Implementation

IEEE Transactions on Biomedical Engineering, Journal Year: 2019, Volume and Issue: 66(7), P. 2115 - 2137

Published: May 8, 2019

We review the theory and algorithms of electrophysiological brain connectivity analysis. This tutorial is aimed at providing an introduction to functional from signals, including electroencephalography, magnetoencephalography, electrocorticography, stereoelectroencephalography. Various estimators are discussed, introduced. Important issues for estimating mapping with electrophysiology discussed.

Language: Английский

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Revisiting the Functional Anatomy of the Human Brain: Toward a Meta-Networking Theory of Cerebral Functions

Physiological Reviews, Journal Year: 2020, Volume and Issue: 100(3), P. 1181 - 1228

Published: Feb. 20, 2020

For more than one century, brain processing was mainly thought in a localizationist framework, which given function underpinned by discrete, isolated cortical area, and with similar cerebral organization across individuals. However, advances mapping techniques humans have provided new insights into the organizational principles of anatomo-functional architecture. Here, we review recent findings gained from neuroimaging, electrophysiological, as well lesion studies. Based on these data connectome, challenge traditional, outdated view propose an alternative meta-networking theory. This model holds that complex cognitions behaviors arise spatiotemporal integration distributed but relatively specialized networks underlying conation cognition (e.g., language, spatial cognition). Dynamic interactions between such circuits result perpetual succession equilibrium states, opening door to considerable interindividual behavioral variability neuroplastic phenomena. Indeed, underlies uniquely human propensity learn abilities, also explains how postlesional reshaping can lead some degrees functional compensation brain-damaged patients. We discuss major implications this approach fundamental neurosciences for clinical developments, especially neurology, psychiatry, neurorehabilitation, restorative neurosurgery.

Language: Английский

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Temporal circuit of macroscale dynamic brain activity supports human consciousness

Science Advances, Journal Year: 2020, Volume and Issue: 6(11)

Published: March 11, 2020

The ongoing stream of human consciousness relies on two distinct cortical systems, the default mode network and dorsal attention network, which alternate their activity in an anticorrelated manner. We examined how systems are regulated conscious brain they disrupted when is diminished. provide evidence for a "temporal circuit" characterized by set trajectories along dynamic occurs. demonstrate that transitions between networks embedded this temporal circuit, balanced reciprocal accessibility states characteristic consciousness. Conversely, isolation from circuit associated with unresponsiveness diverse etiologies. These findings advance foundational understanding functional role

Language: Английский

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EEG microstates are a candidate endophenotype for schizophrenia

Nature Communications, Journal Year: 2020, Volume and Issue: 11(1)

Published: June 18, 2020

Abstract Electroencephalogram microstates are recurrent scalp potential configurations that remain stable for around 90 ms. The dynamics of two the four canonical classes microstates, commonly labeled as C and D, have been suggested a endophenotype schizophrenia. For endophenotypes, unaffected relatives patients must show abnormalities compared to controls. Here, we examined microstate in resting-state recordings siblings with schizophrenia, healthy controls, first episodes psychosis (FEP). Patients schizophrenia their showed increased presence class decreased D No difference was found between FEP chronic patients. Our findings suggest candidate

Language: Английский

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Microstate EEGlab toolbox: An introductory guide

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2018, Volume and Issue: unknown

Published: March 27, 2018

Abstract EEG microstate analysis offers a sparse characterisation of the spatio-temporal features large-scale brain network activity. However, despite concept microstates is straight-forward and various quantifications signal with relatively clear neurophysiological interpretation, few important aspects about currently applied methods are not readily comprehensible. Here we aim to increase transparency facilitate widespread application reproducibility by introducing new EEGlab toolbox for Matlab. Microstate open source, allowing user keep track all details in every step. The specifically designed development methods. While can be controlled graphical interface (GUI), making it easier newcomers take their first steps exploring possibilities analysis, Matlab framework allows advanced users create scripts automatise multiple subjects avoid tediously repeating subject. This manuscript provides an overview most commonly as well tutorial consisting comprehensive walk-through small, publicly available dataset.

Language: Английский

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The Functional Aspects of Resting EEG Microstates: A Systematic Review

Brain Topography, Journal Year: 2023, Volume and Issue: 37(2), P. 181 - 217

Published: May 10, 2023

Language: Английский

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