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...
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Format: | Article |
Language: | English |
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Elsevier
2024-01-01
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Series: | NeuroImage |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811923006328 |
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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 |
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