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 inClinical neurophysiology Vol. 122; no. 8; pp. 1569 - 1579
Main Authors Lu, Chia-Feng, Teng, Shin, Hung, Chih-I, Tseng, Po-Jung, Lin, Liang-Ta, Lee, Po-Lei, Wu, Yu-Te
Format Journal Article
LanguageEnglish
Published 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.
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
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Issue 8
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
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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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StartPage 1569
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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https://www.clinicalkey.es/playcontent/1-s2.0-S1388245711001003
https://dx.doi.org/10.1016/j.clinph.2011.01.050
https://www.ncbi.nlm.nih.gov/pubmed/21353633
https://www.proquest.com/docview/876240382
Volume 122
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