EEG Spectral Generators Involved in Motor Imagery: A swLORETA Study

被引:30
|
作者
Cebolla, Ana-Maria [1 ]
Palmero-Soler, Ernesto [1 ]
Leroy, Axelle [1 ]
Cheron, Guy [1 ,2 ]
机构
[1] Univ Libre Bruxelles, Neurosci Inst, Lab Neurophysiol & Movement Biomech, Brussels, Belgium
[2] Univ Mons, Lab Electrophysiol, Mons, Belgium
来源
FRONTIERS IN PSYCHOLOGY | 2017年 / 8卷
关键词
EEG; swLORETA; motor-imagery; time-frequency; ERSP; ITC; DIRECT-CURRENT STIMULATION; BRAIN-COMPUTER INTERFACE; SPINAL-CORD-INJURY; CEREBELLAR CORTEX; PHASE SYNCHRONIZATION; SOURCE LOCALIZATION; MACHINE INTERFACES; VISUAL-PERCEPTION; PREFRONTAL CORTEX; MOVEMENT IMAGERY;
D O I
10.3389/fpsyg.2017.02133
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
In order to characterize the neural generators of the brain oscillations related to motor imagery (MI), we investigated the cortical, subcortical, and cerebellar localizations of their respective electroencephalogram (EEG) spectral power and phase locking modulations. The MI task consisted in throwing a ball with the dominant upper limb while in a standing posture, within an ecological virtual reality (VR) environment (tennis court). The MI was triggered by the visual cues common to the control condition, during which the participant remained mentally passive. As previously developed, our paradigm considers the confounding problem that the reference condition allows two complementary analyses: one which uses the baseline before the occurrence of the visual cues in the MI and control resting conditions respectively; and the other which compares the analog periods between the MI and the control resting-state conditions. We demonstrate that MI activates specific, complex brain networks for the power and phase modulations of the EEG oscillations. An early (225 ms) delta phase-locking related to MI was generated in the thalamus and cerebellum and was followed (480 ms) by phase-locking in theta and alpha oscillations, generated in specific cortical areas and the cerebellum. Phase-locking preceded the power modulations (mainly alpha-beta ERD), whose cortical generators were situated in the frontal BA45, BA11, BA10, central BA6, lateral BA13, and posterior cortex BA2. Cerebellar-thalamic involvement through phase-locking is discussed as an underlying mechanism for recruiting at later stages the cortical areas involved in a cognitive role during MI.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Limbs Movement and Motor Imagery: an EEG Study
    Grilo Jr, Marcelo
    Santos, Eliana
    Moraes, Caroline
    Mondejar, Alice
    Ascencao, Paulo
    Araujo, Luciano
    Neves, Aline
    Fraga, Francisco
    2019 E-HEALTH AND BIOENGINEERING CONFERENCE (EHB), 2019,
  • [2] EEG-Channel-Temporal-Spectral-Attention Correlation for Motor Imagery EEG Classification
    Hsu, Wei-Yen
    Cheng, Ya-Wen
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2023, 31 : 1659 - 1669
  • [3] Exploration of Temporal and Spectral Features of EEG Signals in Motor Imagery Tasks
    Saxena, Mansi
    Gupta, Anubha
    2021 INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS (COMSNETS), 2021, : 736 - 740
  • [4] Spatial and Spectral Features Fusion for EEG Classification during Motor Imagery in BCI
    Tan, Chuanqi
    Sun, Fuchun
    Zhang, Wenchang
    Liu, Shaobo
    Liu, Chunfang
    2017 IEEE EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL & HEALTH INFORMATICS (BHI), 2017, : 309 - 312
  • [5] Exploring the relationship between motor imagery and motor execution: A chronometric and EEG study
    Hung, CL
    Hung, TM
    Shih, HH
    Kao, CF
    Lo, LC
    Lin, TC
    JOURNAL OF SPORT & EXERCISE PSYCHOLOGY, 2003, 25 : S73 - S74
  • [6] Transfer Learning for Classifying Motor Imagery EEG: A Comparative Study
    Limpiti, Tulaya
    Seetanathum, Kornthum
    Sricom, Natchaya
    Puttarak, Nattakan
    13TH BIOMEDICAL ENGINEERING INTERNATIONAL CONFERENCE (BMEICON 2021), 2018,
  • [7] Spectral representation of EEG data using learned graphs with application to motor imagery decoding
    Miri, Maliheh
    Abootalebi, Vahid
    Saeedi-Sourck, Hamid
    Ville, Dimitri Van De
    Behjat, Hamid
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 87
  • [8] EEG Spectral Correlates of the RT-fMRI Neurofeedback-Assisted Motor Imagery
    Bezmaternykh, Dmitriy
    Mel'nikov, Mikhail
    Savelov, Andrey
    Petrovskiy, Evgeny
    Schtark, Mark
    INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2021, 168 : S159 - S159
  • [9] A comparison study on EEG signal processing techniques using motor imagery EEG data
    Oikonomou, Vangelis P.
    Georgiadis, Kostas
    Liaros, George
    Nikolopoulos, Spiros
    Kompatsiaris, Ioannis
    2017 IEEE 30TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), 2017, : 781 - 786
  • [10] EEG features extraction for motor imagery
    Cososchi, Stefan
    Strungaru, Rodica
    Ungureanu, Alexandru
    Ungureanu, Mihaela
    2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15, 2006, : 145 - 148