Article

MEG cortical microstates: spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses

2021-09-07

Abstract excerpt

<title>Abstract</title> <p>EEG microstate analysis is an approach to study brain states and their fast transitions in healthy cognition and disease. A key limitation of conventional microstate analysis is that it must be performed at the sensor level, and therefore gives limited anatomical insight. Here, we generalise the microstate methodology to be applicable to source-reconstructed electrophysiological data. U...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f0f2bc87-e9cc-56bf-9d43-69b6a4103abc
DOI: 10.21203/rs.3.rs-842065/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

MEG cortical microstates: spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responsesDOI 10.21203/rs.3.rs-842065/v1Read

MEG cortical microstates: spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responsesSemantic proximity Read

Distinct sources of resting-state EEG microstates in amyotrophic lateral sclerosisSemantic proximity Read

Neurophysiological signatures of cortical micro-architectureSemantic proximity Read

Frontoparietal network dynamics impairments in juvenile myoclonic epilepsy revealed by MEG energy landscapeSemantic proximity Read

Functional significance of spectrotemporal response functions obtained using magnetoencephalographySemantic proximity Read

Qualitative and Quantitative Comparative Analysis of Common Normal Variants and Physiological Artifacts in MEG and EEGSemantic proximity Read

A connectome-based, corticothalamic model of state- and stimulation-dependent modulation of rhythmic neural activity and connectivitySemantic proximity Read

Macroscale dynamics of EEG microstates determine the periodic and aperiodic features of the neural power spectrumSemantic proximity Read

Realistic subject-specific simulation of resting state scalp EEG based on physiological modelSemantic proximity Read

Biophysical modeling of the neural origin of EEG and MEG signalsSemantic proximity Read

A Neural Mass Modelling Framework for Evaluating EEG Source Localisation of Seizure ActivitySemantic proximity Read

Towards a dynamical understanding of microstate analysis of M/EEG dataSemantic proximity Read