Disrupted relationship between intrinsic neural timescales and alpha peak frequency during unconscious states – A high-density EEG study
Our brain processes the different timescales of our environment's temporal input stochastics. Is such a temporal input processing mechanism key for consciousness? To address this research question, we calculated measures of input processing on shorter (alpha peak frequency, APF) and longer (aut...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-01-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811922009235 |
| _version_ | 1828071546908835840 |
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| author | Andrea Buccellato Di Zang Federico Zilio Javier Gomez-Pilar Zhe Wang Zengxin Qi Ruizhe Zheng Zeyu Xu Xuehai Wu Patrizia Bisiacchi Alessandra Del Felice Ying Mao Georg Northoff |
| author_facet | Andrea Buccellato Di Zang Federico Zilio Javier Gomez-Pilar Zhe Wang Zengxin Qi Ruizhe Zheng Zeyu Xu Xuehai Wu Patrizia Bisiacchi Alessandra Del Felice Ying Mao Georg Northoff |
| author_sort | Andrea Buccellato |
| collection | DOAJ |
| description | Our brain processes the different timescales of our environment's temporal input stochastics. Is such a temporal input processing mechanism key for consciousness? To address this research question, we calculated measures of input processing on shorter (alpha peak frequency, APF) and longer (autocorrelation window, ACW) timescales on resting-state high-density EEG (256 channels) recordings and compared them across different consciousness levels (awake/conscious, ketamine and sevoflurane anaesthesia, unresponsive wakefulness, minimally conscious state). We replicate and extend previous findings of: (i) significantly longer ACW values, consistently over all states of unconsciousness, as measured with ACW-0 (an unprecedented longer version of the well-know ACW-50); (ii) significantly slower APF values, as measured with frequency sliding, in all four unconscious states. Most importantly, we report a highly significant correlation of ACW-0 and APF in the conscious state, while their relationship is disrupted in the unconscious states. In sum, we demonstrate the relevance of the brain's capacity for input processing on shorter (APF) and longer (ACW) timescales - including their relationship - for consciousness. Albeit indirectly, e.g., through the analysis of electrophysiological activity at rest, this supports the mechanism of temporo-spatial alignment to the environment's temporal input stochastics, through relating different neural timescales, as one key predisposing factor of consciousness. |
| first_indexed | 2024-04-11T00:55:48Z |
| format | Article |
| id | doaj.art-b8857d19612d46b2be293cd07a260f4a |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-04-11T00:55:48Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-b8857d19612d46b2be293cd07a260f4a2023-01-05T06:23:27ZengElsevierNeuroImage1095-95722023-01-01265119802Disrupted relationship between intrinsic neural timescales and alpha peak frequency during unconscious states – A high-density EEG studyAndrea Buccellato0Di Zang1Federico Zilio2Javier Gomez-Pilar3Zhe Wang4Zengxin Qi5Ruizhe Zheng6Zeyu Xu7Xuehai Wu8Patrizia Bisiacchi9Alessandra Del Felice10Ying Mao11Georg Northoff12Padova Neuroscience Center, University of Padova, Padova, Italy; Department of General Psychology, University of Padova, Padova, Italy; Corresponding authors.Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University,Shanghai, 200040, China; Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, 200040, China; State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Basic Medical Sciences and Institutes of Brain Science, Fudan University, Shanghai, 200032, China; National Center for Neurological Disorders, Shanghai, 200040, China; Neurosurgical Institute of Fudan University, Shanghai, 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, ChinaDepartment of Philosophy, Sociology, Education and Applied Psychology, University of Padova, Padua, ItalyBiomedical Engineering Group, University of Valladolid, Paseo de Belén, 15, Valladolid 47011, Spain; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina, (CIBER-BBN), Valladolid, SpainDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University,Shanghai, 200040, China; Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, 200040, China; State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Basic Medical Sciences and Institutes of Brain Science, Fudan University, Shanghai, 200032, China; National Center for Neurological Disorders, Shanghai, 200040, China; Neurosurgical Institute of Fudan University, Shanghai, 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, ChinaDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University,Shanghai, 200040, China; Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, 200040, China; State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Basic Medical Sciences and Institutes of Brain Science, Fudan University, Shanghai, 200032, China; National Center for Neurological Disorders, Shanghai, 200040, China; Neurosurgical Institute of Fudan University, Shanghai, 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, ChinaDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University,Shanghai, 200040, China; Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, 200040, China; State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Basic Medical Sciences and Institutes of Brain Science, Fudan University, Shanghai, 200032, China; National Center for Neurological Disorders, Shanghai, 200040, China; Neurosurgical Institute of Fudan University, Shanghai, 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, ChinaDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University,Shanghai, 200040, China; Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, 200040, China; State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Basic Medical Sciences and Institutes of Brain Science, Fudan University, Shanghai, 200032, China; National Center for Neurological Disorders, Shanghai, 200040, China; Neurosurgical Institute of Fudan University, Shanghai, 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, ChinaDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University,Shanghai, 200040, China; Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, 200040, China; State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Basic Medical Sciences and Institutes of Brain Science, Fudan University, Shanghai, 200032, China; National Center for Neurological Disorders, Shanghai, 200040, China; Neurosurgical Institute of Fudan University, Shanghai, 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, ChinaPadova Neuroscience Center, University of Padova, Padova, Italy; Department of General Psychology, University of Padova, Padova, ItalyPadova Neuroscience Center, University of Padova, Padova, Italy; Department of Neuroscience, Section of Rehabilitation, University of Padova, Padova, ItalyDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University,Shanghai, 200040, China; Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, 200040, China; State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Basic Medical Sciences and Institutes of Brain Science, Fudan University, Shanghai, 200032, China; National Center for Neurological Disorders, Shanghai, 200040, China; Neurosurgical Institute of Fudan University, Shanghai, 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China; Corresponding authors.Mind, Brain Imaging and Neuroethics Research Unit, Institute of Mental Health, Royal Ottawa Mental Health Centre and University of Ottawa, Ottawa, Ontario K1Z7K4, Canada; Mental Health Center, Zhejiang University School of Medicine, Hangzhou 310013, Zhejiang Province, China; Centre for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou 310013, Zhejiang Province, China; Corresponding authors.Our brain processes the different timescales of our environment's temporal input stochastics. Is such a temporal input processing mechanism key for consciousness? To address this research question, we calculated measures of input processing on shorter (alpha peak frequency, APF) and longer (autocorrelation window, ACW) timescales on resting-state high-density EEG (256 channels) recordings and compared them across different consciousness levels (awake/conscious, ketamine and sevoflurane anaesthesia, unresponsive wakefulness, minimally conscious state). We replicate and extend previous findings of: (i) significantly longer ACW values, consistently over all states of unconsciousness, as measured with ACW-0 (an unprecedented longer version of the well-know ACW-50); (ii) significantly slower APF values, as measured with frequency sliding, in all four unconscious states. Most importantly, we report a highly significant correlation of ACW-0 and APF in the conscious state, while their relationship is disrupted in the unconscious states. In sum, we demonstrate the relevance of the brain's capacity for input processing on shorter (APF) and longer (ACW) timescales - including their relationship - for consciousness. Albeit indirectly, e.g., through the analysis of electrophysiological activity at rest, this supports the mechanism of temporo-spatial alignment to the environment's temporal input stochastics, through relating different neural timescales, as one key predisposing factor of consciousness.http://www.sciencedirect.com/science/article/pii/S1053811922009235ElectroencephalographyIntrinsic neural timescalesAlpha peak frequencyDisorders of consciousnessAnaesthesiaTemporal input processing |
| spellingShingle | Andrea Buccellato Di Zang Federico Zilio Javier Gomez-Pilar Zhe Wang Zengxin Qi Ruizhe Zheng Zeyu Xu Xuehai Wu Patrizia Bisiacchi Alessandra Del Felice Ying Mao Georg Northoff Disrupted relationship between intrinsic neural timescales and alpha peak frequency during unconscious states – A high-density EEG study NeuroImage Electroencephalography Intrinsic neural timescales Alpha peak frequency Disorders of consciousness Anaesthesia Temporal input processing |
| title | Disrupted relationship between intrinsic neural timescales and alpha peak frequency during unconscious states – A high-density EEG study |
| title_full | Disrupted relationship between intrinsic neural timescales and alpha peak frequency during unconscious states – A high-density EEG study |
| title_fullStr | Disrupted relationship between intrinsic neural timescales and alpha peak frequency during unconscious states – A high-density EEG study |
| title_full_unstemmed | Disrupted relationship between intrinsic neural timescales and alpha peak frequency during unconscious states – A high-density EEG study |
| title_short | Disrupted relationship between intrinsic neural timescales and alpha peak frequency during unconscious states – A high-density EEG study |
| title_sort | disrupted relationship between intrinsic neural timescales and alpha peak frequency during unconscious states a high density eeg study |
| topic | Electroencephalography Intrinsic neural timescales Alpha peak frequency Disorders of consciousness Anaesthesia Temporal input processing |
| url | http://www.sciencedirect.com/science/article/pii/S1053811922009235 |
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