Analysis of phase-locking is informative for studying event-related EEG activity

被引:0
|
作者
Vasil Kolev
Juliana Yordanova
机构
[1] Institute of Physiology,
[2] Bulgarian Academy of Sciences,undefined
[3] Acad. G. Bonchev str.,undefined
[4] bl. 23,undefined
[5] BG-1113 Sofia,undefined
[6] Bulgaria,undefined
来源
Biological Cybernetics | 1997年 / 76卷
关键词
Brain Response; Conventional Signal; Alpha Activity; Oscillatory Activity; Brain Process;
D O I
暂无
中图分类号
学科分类号
摘要
 A new method is presented for quantitative evaluation of single-sweep phase and amplitude electroencephalogram (EEG) characteristics that is a more informative approach in comparison with conventional signal averaging. In the averaged potential, phase-locking and amplitude effects of the EEG response cannot be separated. To overcome this problem, single-trial EEG sweeps are decomposed into separate presentations of their phase relationships and amplitude characteristics. The stability of the phase-coupling to stimulus is then evaluated independently by analyzing the single-sweep phase presentations. The method has the following advantages: information about stability of the phase-locking can be used to assess event-related oscillatory activity; the method permits evaluation of the timing of event-related phase-locking; and a global assessment and comparison of the phase-locking of ensembles of single sweeps elicited in different processing conditions is possible. The method was employed to study auditory alpha and theta responses in young and middle-aged adults. The results showed that whereas amplitudes of frequency responses tended to decrease, the phase-locking increased significantly with age. The synchronization with stimulus (phase-locking) was the only parameter reliably to differentiate the brain responses of the two age groups, as well as to reveal specific age-related changes in frontal evoked alpha activity. Thus, the present approach can be used to evaluate dynamic brain processes more precisely.
引用
收藏
页码:229 / 235
页数:6
相关论文
共 50 条
  • [21] Fuzzy Clustering for Exploratory Analysis of EEG Event-Related Potentials
    Masulli, Paolo
    Masulli, Francesco
    Rovetta, Stefano
    Lintas, Alessandra
    Villa, Alessandro E. P.
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 28 (01) : 28 - 38
  • [22] DYNAMIC SPECTRAL-ANALYSIS OF EVENT-RELATED EEG DATA
    FLORIAN, G
    PFURTSCHELLER, G
    ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1995, 95 (05): : 393 - 396
  • [23] Event-related wave activity in the EEG provides new marker of ADHD
    Alexander, David M.
    Hermens, Daniel F.
    Keage, Hannah A. D.
    Clark, C. Richard
    Williams, Leanne M.
    Kohn, Michael R.
    Clarke, Simon D.
    Lamb, Chris
    Gordon, Evian
    CLINICAL NEUROPHYSIOLOGY, 2008, 119 (01) : 163 - 179
  • [24] The time course of symbolic number adaptation: Oscillatory EEG activity and event-related potential analysis
    Hsu, Yi-Fang
    Szucs, Denes
    NEUROIMAGE, 2012, 59 (04) : 3103 - 3109
  • [25] Hand movement decoding by phase-locking low frequency EEG signals
    Liu, Jiaen
    Perdoni, Christopher
    He, Bin
    2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2011, : 6335 - 6338
  • [26] Lingering Sound: Event-Related Phase-Amplitude Coupling and Phase-Locking in Fronto-Temporo-Parietal Functional Networks During Memory Retrieval of Music Melodies
    Tseng, Yi-Li
    Liu, Hong-Hsiang
    Liou, Michelle
    Tsai, Arthur C.
    Chien, Vincent S. C.
    Shyu, Shuoh-Tyng
    Yang, Zhi-Shun
    FRONTIERS IN HUMAN NEUROSCIENCE, 2019, 13
  • [27] Event-related desynchronization (ERD) of EEG and emotion
    Aftanas, L
    Koshkarov, V
    Pokrovskaja, V
    Lotova, N
    INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 1997, 25 (01) : 19 - 19
  • [28] EEG AND EVENT-RELATED POTENTIALS IN NORMAL AGING
    DUSTMAN, RE
    SHEARER, DE
    EMMERSON, RY
    PROGRESS IN NEUROBIOLOGY, 1993, 41 (03) : 369 - 401
  • [29] EEG AND EVENT-RELATED POTENTIALS IN AGING AND DEMENTIA
    CELESIA, GG
    JOURNAL OF CLINICAL NEUROPHYSIOLOGY, 1986, 3 (02) : 99 - 111
  • [30] EEGIFT: Group Independent Component Analysis for Event-Related EEG Data
    Eichele, Tom
    Rachakonda, Srinivas
    Brakedal, Brage
    Eikeland, Rune
    Calhoun, Vince D.
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2011, 2011