Intrinsic neural timescales relate to the dynamics of infraslow neural waves

The human brain is a highly dynamic organ that operates across a variety of timescales, the intrinsic neural timescales (INT). In addition to the INT, the neural waves featured by its phase-related processes including their cycles with peak/trough and rise/fall play a key role in shaping the brain&#...

Full description

Bibliographic Details
Main Authors: Yujia Ao, Yasir Catal, Stephan Lechner, Jingyu Hua, Georg Northoff
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:NeuroImage
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811923006328
_version_ 1797359994171031552
author Yujia Ao
Yasir Catal
Stephan Lechner
Jingyu Hua
Georg Northoff
author_facet Yujia Ao
Yasir Catal
Stephan Lechner
Jingyu Hua
Georg Northoff
author_sort Yujia Ao
collection DOAJ
description The human brain is a highly dynamic organ that operates across a variety of timescales, the intrinsic neural timescales (INT). In addition to the INT, the neural waves featured by its phase-related processes including their cycles with peak/trough and rise/fall play a key role in shaping the brain's neural activity. However, the relationship between the brain's ongoing wave dynamics and INT remains yet unclear. In this study, we utilized functional magnetic resonance imaging (fMRI) rest and task data from the Human Connectome Project (HCP) to investigate the relationship of infraslow wave dynamics [as measured in terms of speed by changes in its peak frequency (PF)] with INT. Our findings reveal that: (i) the speed of phase dynamics (PF) is associated with distinct parts of the ongoing phase cycles, namely higher PF in peak/trough and lower PF in rise/fall; (ii) there exists a negative correlation between phase dynamics (PF) and INT such that slower PF relates to longer INT; (iii) exposure to a movie alters both PF and INT across the different phase cycles, yet their negative correlation remains intact. Collectively, our results demonstrate that INT relates to infraslow phase dynamics during both rest and task states.
first_indexed 2024-03-08T15:31:55Z
format Article
id doaj.art-c2698ce1ce3e4a10825fa71fc8918ab2
institution Directory Open Access Journal
issn 1095-9572
language English
last_indexed 2024-03-08T15:31:55Z
publishDate 2024-01-01
publisher Elsevier
record_format Article
series NeuroImage
spelling doaj.art-c2698ce1ce3e4a10825fa71fc8918ab22024-01-10T04:34:56ZengElsevierNeuroImage1095-95722024-01-01285120482Intrinsic neural timescales relate to the dynamics of infraslow neural wavesYujia Ao0Yasir Catal1Stephan Lechner2Jingyu Hua3Georg Northoff4Mind, Brain Imaging and Neuroethics Research Unit, Institute of Mental Health Research, Faculty of Medicine, University of Ottawa, Ottawa, ON, CanadaMind, Brain Imaging and Neuroethics Research Unit, Institute of Mental Health Research, Faculty of Medicine, University of Ottawa, Ottawa, ON, CanadaMind, Brain Imaging and Neuroethics Research Unit, Institute of Mental Health Research, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada; Research Group Neuroinformatics, Faculty of Computer Science, University of Vienna, 1010 Vienna, Austria; Vienna Doctoral School Cognition, Behavior and Neuroscience, University of Vienna, 1030 Vienna, AustriaDepartment of Psychology, Faculty of Social Sciences, University of Ottawa, Ottawa, ON, CanadaMind, Brain Imaging and Neuroethics Research Unit, Institute of Mental Health Research, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada; Corresponding author at: Mind, Brain Imaging and Neuroethics, Institute of Mental Health Research, University of Ottawa, 1145 Carling Avenue, Room 6435, Ottawa, ON K1Z 7K4, Canada.The human brain is a highly dynamic organ that operates across a variety of timescales, the intrinsic neural timescales (INT). In addition to the INT, the neural waves featured by its phase-related processes including their cycles with peak/trough and rise/fall play a key role in shaping the brain's neural activity. However, the relationship between the brain's ongoing wave dynamics and INT remains yet unclear. In this study, we utilized functional magnetic resonance imaging (fMRI) rest and task data from the Human Connectome Project (HCP) to investigate the relationship of infraslow wave dynamics [as measured in terms of speed by changes in its peak frequency (PF)] with INT. Our findings reveal that: (i) the speed of phase dynamics (PF) is associated with distinct parts of the ongoing phase cycles, namely higher PF in peak/trough and lower PF in rise/fall; (ii) there exists a negative correlation between phase dynamics (PF) and INT such that slower PF relates to longer INT; (iii) exposure to a movie alters both PF and INT across the different phase cycles, yet their negative correlation remains intact. Collectively, our results demonstrate that INT relates to infraslow phase dynamics during both rest and task states.http://www.sciencedirect.com/science/article/pii/S1053811923006328Functional magnetic resonance imagingIntrinsic neural timescalesInfraslow neural wavesTemporal input processing
spellingShingle Yujia Ao
Yasir Catal
Stephan Lechner
Jingyu Hua
Georg Northoff
Intrinsic neural timescales relate to the dynamics of infraslow neural waves
NeuroImage
Functional magnetic resonance imaging
Intrinsic neural timescales
Infraslow neural waves
Temporal input processing
title Intrinsic neural timescales relate to the dynamics of infraslow neural waves
title_full Intrinsic neural timescales relate to the dynamics of infraslow neural waves
title_fullStr Intrinsic neural timescales relate to the dynamics of infraslow neural waves
title_full_unstemmed Intrinsic neural timescales relate to the dynamics of infraslow neural waves
title_short Intrinsic neural timescales relate to the dynamics of infraslow neural waves
title_sort intrinsic neural timescales relate to the dynamics of infraslow neural waves
topic Functional magnetic resonance imaging
Intrinsic neural timescales
Infraslow neural waves
Temporal input processing
url http://www.sciencedirect.com/science/article/pii/S1053811923006328
work_keys_str_mv AT yujiaao intrinsicneuraltimescalesrelatetothedynamicsofinfraslowneuralwaves
AT yasircatal intrinsicneuraltimescalesrelatetothedynamicsofinfraslowneuralwaves
AT stephanlechner intrinsicneuraltimescalesrelatetothedynamicsofinfraslowneuralwaves
AT jingyuhua intrinsicneuraltimescalesrelatetothedynamicsofinfraslowneuralwaves
AT georgnorthoff intrinsicneuraltimescalesrelatetothedynamicsofinfraslowneuralwaves