Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states

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. W...

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Main Authors: Federico Zilio, Javier Gomez-Pilar, Shumei Cao, Jun Zhang, Di Zang, Zengxin Qi, Jiaxing Tan, Tanigawa Hiromi, Xuehai Wu, Stuart Fogel, Zirui Huang, Matthias R. Hohmann, Tatiana Fomina, Matthis Synofzik, Moritz Grosse-Wentrup, Adrian M. Owen, Georg Northoff
Format: Article
Language:English
Published: Elsevier 2021-02-01
Series:NeuroImage
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920310648
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author Federico Zilio
Javier Gomez-Pilar
Shumei Cao
Jun Zhang
Di Zang
Zengxin Qi
Jiaxing Tan
Tanigawa Hiromi
Xuehai Wu
Stuart Fogel
Zirui Huang
Matthias R. Hohmann
Tatiana Fomina
Matthis Synofzik
Moritz Grosse-Wentrup
Adrian M. Owen
Georg Northoff
author_facet Federico Zilio
Javier Gomez-Pilar
Shumei Cao
Jun Zhang
Di Zang
Zengxin Qi
Jiaxing Tan
Tanigawa Hiromi
Xuehai Wu
Stuart Fogel
Zirui Huang
Matthias R. Hohmann
Tatiana Fomina
Matthis Synofzik
Moritz Grosse-Wentrup
Adrian M. Owen
Georg Northoff
author_sort Federico Zilio
collection DOAJ
description 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.
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spelling doaj.art-1288e261ae9147cf974d94838274dcab2022-12-21T23:46:33ZengElsevierNeuroImage1095-95722021-02-01226117579Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral statesFederico Zilio0Javier Gomez-Pilar1Shumei Cao2Jun Zhang3Di Zang4Zengxin Qi5Jiaxing Tan6Tanigawa Hiromi7Xuehai Wu8Stuart Fogel9Zirui Huang10Matthias R. Hohmann11Tatiana Fomina12Matthis Synofzik13Moritz Grosse-Wentrup14Adrian M. Owen15Georg Northoff16Department of Philosophy, Sociology, Education and Applied Psychology, University of Padova, Padua, Italy; Corresponding author.Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Valladolid, SpainDepartment of Anesthesiology, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Anesthesiology, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, ChinaThe Brain and Mind Institute, Department of Physiology and Pharmacology and the Department of Psychology, University of Western Ontario, CanadaCenter for Consciousness Science, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, United StatesDepartment for Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen, GermanyDepartment for Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen, GermanyDepartment of Neurology, Hertie Institute for Clinical Brain Research, Tübingen, GermanyResearch Group Neuroinformatics, Faculty of Computer Science, University of Vienna, AustriaThe Brain and Mind Institute, Department of Physiology and Pharmacology and the Department of Psychology, University of Western Ontario, CanadaInstitute of Mental Health Research, University of Ottawa, Ottawa, CanadaThe 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.http://www.sciencedirect.com/science/article/pii/S1053811920310648Intrinsic neural timescalesAuto-correlation windowUnresponsive wakefulness syndromeAnesthesiaAmyotrophic lateral sclerosis
spellingShingle Federico Zilio
Javier Gomez-Pilar
Shumei Cao
Jun Zhang
Di Zang
Zengxin Qi
Jiaxing Tan
Tanigawa Hiromi
Xuehai Wu
Stuart Fogel
Zirui Huang
Matthias R. Hohmann
Tatiana Fomina
Matthis Synofzik
Moritz Grosse-Wentrup
Adrian M. Owen
Georg Northoff
Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states
NeuroImage
Intrinsic neural timescales
Auto-correlation window
Unresponsive wakefulness syndrome
Anesthesia
Amyotrophic lateral sclerosis
title Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states
title_full Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states
title_fullStr Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states
title_full_unstemmed Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states
title_short Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states
title_sort are intrinsic neural timescales related to sensory processing evidence from abnormal behavioral states
topic Intrinsic neural timescales
Auto-correlation window
Unresponsive wakefulness syndrome
Anesthesia
Amyotrophic lateral sclerosis
url http://www.sciencedirect.com/science/article/pii/S1053811920310648
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