Reorganization of functional connectivity during the motor task using EEG time–frequency cross mutual information analysis
► The TFCMI method was employed to estimate EEG functional connectivity and the reorganization process during motor task in the alpha and beta bands. ► The temporal-spectral modulation mechanism allows the brain to manifest multiple functions subject to energy budget. ► The modulation of functional...
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Published in | Clinical neurophysiology Vol. 122; no. 8; pp. 1569 - 1579 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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Oxford
Elsevier Ireland Ltd
01.08.2011
Elsevier |
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Abstract | ► The TFCMI method was employed to estimate EEG functional connectivity and the reorganization process during motor task in the alpha and beta bands. ► The temporal-spectral modulation mechanism allows the brain to manifest multiple functions subject to energy budget. ► The modulation of functional connectivity is unlike that of conventional ERD/ERS.
This study investigates the functional organization of cortical networks during self-determinant arm movement using the time sequences of the alpha (8–12
Hz) and beta (16–25
Hz) bands.
The time–frequency cross mutual information (TFCMI) method was used to estimate the EEG functional connectivity in the alpha and beta bands for seven healthy subjects during four functional states: the resting, preparing, movement-onset, and movement-offset states.
In the preparing state, the maintenance of the central-executive network (CEN, prefrontal–parietal connection) suppressed the motor network in the alpha band to plan the next movement, whereas the CEN was deactivated in the beta band to retain visual attention (the frontal–occipital connection). A significant decrease of the CEN in the alpha band occurred after a visual cue in the movement-onset state, followed by a significant increase in motor-network connectivity in the beta band until the movement-offset state.
The temporal-spectral modulation mechanism allows the brain to manifest multiple functions subject to energy budget.
The TFCMI method was employed to estimate EEG functional connectivity and effectively demonstrate the reorganization process between four functional states. |
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AbstractList | This study investigates the functional organization of cortical networks during self-determinant arm movement using the time sequences of the alpha (8-12 Hz) and beta (16-25 Hz) bands.OBJECTIVEThis study investigates the functional organization of cortical networks during self-determinant arm movement using the time sequences of the alpha (8-12 Hz) and beta (16-25 Hz) bands.The time-frequency cross mutual information (TFCMI) method was used to estimate the EEG functional connectivity in the alpha and beta bands for seven healthy subjects during four functional states: the resting, preparing, movement-onset, and movement-offset states.METHODSThe time-frequency cross mutual information (TFCMI) method was used to estimate the EEG functional connectivity in the alpha and beta bands for seven healthy subjects during four functional states: the resting, preparing, movement-onset, and movement-offset states.In the preparing state, the maintenance of the central-executive network (CEN, prefrontal-parietal connection) suppressed the motor network in the alpha band to plan the next movement, whereas the CEN was deactivated in the beta band to retain visual attention (the frontal-occipital connection). A significant decrease of the CEN in the alpha band occurred after a visual cue in the movement-onset state, followed by a significant increase in motor-network connectivity in the beta band until the movement-offset state.RESULTSIn the preparing state, the maintenance of the central-executive network (CEN, prefrontal-parietal connection) suppressed the motor network in the alpha band to plan the next movement, whereas the CEN was deactivated in the beta band to retain visual attention (the frontal-occipital connection). A significant decrease of the CEN in the alpha band occurred after a visual cue in the movement-onset state, followed by a significant increase in motor-network connectivity in the beta band until the movement-offset state.The temporal-spectral modulation mechanism allows the brain to manifest multiple functions subject to energy budget.CONCLUSIONSThe temporal-spectral modulation mechanism allows the brain to manifest multiple functions subject to energy budget.The TFCMI method was employed to estimate EEG functional connectivity and effectively demonstrate the reorganization process between four functional states.SIGNIFICANCEThe TFCMI method was employed to estimate EEG functional connectivity and effectively demonstrate the reorganization process between four functional states. This study investigates the functional organization of cortical networks during self-determinant arm movement using the time sequences of the alpha (8-12 Hz) and beta (16-25 Hz) bands. The time-frequency cross mutual information (TFCMI) method was used to estimate the EEG functional connectivity in the alpha and beta bands for seven healthy subjects during four functional states: the resting, preparing, movement-onset, and movement-offset states. In the preparing state, the maintenance of the central-executive network (CEN, prefrontal-parietal connection) suppressed the motor network in the alpha band to plan the next movement, whereas the CEN was deactivated in the beta band to retain visual attention (the frontal-occipital connection). A significant decrease of the CEN in the alpha band occurred after a visual cue in the movement-onset state, followed by a significant increase in motor-network connectivity in the beta band until the movement-offset state. The temporal-spectral modulation mechanism allows the brain to manifest multiple functions subject to energy budget. The TFCMI method was employed to estimate EEG functional connectivity and effectively demonstrate the reorganization process between four functional states. Highlights ► The TFCMI method was employed to estimate EEG functional connectivity and the reorganization process during motor task in the alpha and beta bands. ► The temporal-spectral modulation mechanism allows the brain to manifest multiple functions subject to energy budget. ► The modulation of functional connectivity is unlike that of conventional ERD/ERS. ► The TFCMI method was employed to estimate EEG functional connectivity and the reorganization process during motor task in the alpha and beta bands. ► The temporal-spectral modulation mechanism allows the brain to manifest multiple functions subject to energy budget. ► The modulation of functional connectivity is unlike that of conventional ERD/ERS. This study investigates the functional organization of cortical networks during self-determinant arm movement using the time sequences of the alpha (8–12 Hz) and beta (16–25 Hz) bands. The time–frequency cross mutual information (TFCMI) method was used to estimate the EEG functional connectivity in the alpha and beta bands for seven healthy subjects during four functional states: the resting, preparing, movement-onset, and movement-offset states. In the preparing state, the maintenance of the central-executive network (CEN, prefrontal–parietal connection) suppressed the motor network in the alpha band to plan the next movement, whereas the CEN was deactivated in the beta band to retain visual attention (the frontal–occipital connection). A significant decrease of the CEN in the alpha band occurred after a visual cue in the movement-onset state, followed by a significant increase in motor-network connectivity in the beta band until the movement-offset state. The temporal-spectral modulation mechanism allows the brain to manifest multiple functions subject to energy budget. The TFCMI method was employed to estimate EEG functional connectivity and effectively demonstrate the reorganization process between four functional states. |
Author | Lin, Liang-Ta Teng, Shin Tseng, Po-Jung Hung, Chih-I Wu, Yu-Te Lu, Chia-Feng Lee, Po-Lei |
Author_xml | – sequence: 1 givenname: Chia-Feng surname: Lu fullname: Lu, Chia-Feng organization: Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan, ROC – sequence: 2 givenname: Shin surname: Teng fullname: Teng, Shin organization: Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan, ROC – sequence: 3 givenname: Chih-I surname: Hung fullname: Hung, Chih-I organization: Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan, ROC – sequence: 4 givenname: Po-Jung surname: Tseng fullname: Tseng, Po-Jung organization: Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan, ROC – sequence: 5 givenname: Liang-Ta surname: Lin fullname: Lin, Liang-Ta organization: Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan, ROC – sequence: 6 givenname: Po-Lei surname: Lee fullname: Lee, Po-Lei organization: Integrated Brain Research Laboratory, Department of Medical Research and Education, Taipei Veterans General Hospital, Taipei, Taiwan, ROC – sequence: 7 givenname: Yu-Te surname: Wu fullname: Wu, Yu-Te email: ytwu@ym.edu.tw organization: Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan, ROC |
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Keywords | Motor task Alpha TFCMI EEG Reorganization Beta Functional reorganization Functional organization Central nervous system Electrophysiology Electroencephalography Encephalon Electrodiagnosis Modulation Visual cue Body movement Time analysis Visual attention |
Language | English |
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Snippet | ► The TFCMI method was employed to estimate EEG functional connectivity and the reorganization process during motor task in the alpha and beta bands. ► The... Highlights ► The TFCMI method was employed to estimate EEG functional connectivity and the reorganization process during motor task in the alpha and beta... This study investigates the functional organization of cortical networks during self-determinant arm movement using the time sequences of the alpha (8-12 Hz)... |
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SubjectTerms | Adult Alpha Alpha Rhythm - physiology Arm - physiology Beta Beta Rhythm - physiology Biological and medical sciences Brain - physiology Brain Mapping EEG Electrodiagnosis. Electric activity recording Electroencephalography Female Functional Laterality - physiology Fundamental and applied biological sciences. Psychology Humans Investigative techniques, diagnostic techniques (general aspects) Male Medical sciences Motor control and motor pathways. Reflexes. Control centers of vegetative functions. Vestibular system and equilibration Motor task Movement - physiology Nervous system Neural Pathways - physiology Neurology Photic Stimulation - methods Reorganization TFCMI Time Factors Vertebrates: nervous system and sense organs Young Adult |
Title | Reorganization of functional connectivity during the motor task using EEG time–frequency cross mutual information analysis |
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