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Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states.
- Source :
-
NeuroImage [Neuroimage] 2021 Feb 01; Vol. 226, pp. 117579. Date of Electronic Publication: 2020 Nov 20. - Publication Year :
- 2021
-
Abstract
- The brain exhibits a complex temporal structure which translates into a hierarchy of distinct neural timescales. An open question is how these intrinsic timescales are related to sensory or motor information processing and whether these dynamics have common patterns in different behavioral states. We address these questions by investigating the brain's intrinsic timescales in healthy controls, motor (amyotrophic lateral sclerosis, locked-in syndrome), sensory (anesthesia, unresponsive wakefulness syndrome), and progressive reduction of sensory processing (from awake states over N1, N2, N3). We employed a combination of measures from EEG resting-state data: auto-correlation window (ACW), power spectral density (PSD), and power-law exponent (PLE). Prolonged neural timescales accompanied by a shift towards slower frequencies were observed in the conditions with sensory deficits, but not in conditions with motor deficits. Our results establish that the spontaneous activity's intrinsic neural timescale is related to the neural capacity that specifically supports sensory rather than motor information processing in the healthy brain.<br />Competing Interests: Declaration of Competing Interest None.<br /> (Copyright © 2020. Published by Elsevier Inc.)
- Subjects :
- Adult
Aged
Anesthetics, General
Brain physiology
Case-Control Studies
Electroencephalography
Female
Humans
Ketamine
Male
Middle Aged
Sevoflurane
Spatio-Temporal Analysis
Time Factors
Young Adult
Amyotrophic Lateral Sclerosis physiopathology
Anesthesia, General
Brain physiopathology
Perception physiology
Persistent Vegetative State physiopathology
Sleep physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1095-9572
- Volume :
- 226
- Database :
- MEDLINE
- Journal :
- NeuroImage
- Publication Type :
- Academic Journal
- Accession number :
- 33221441
- Full Text :
- https://doi.org/10.1016/j.neuroimage.2020.117579