کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6268649 1614634 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Computational NeuroscienceIndependent component analysis-based method for electroencephalogram analysis during photic stimulation
ترجمه فارسی عنوان
محاسبات علوم عصب شناختی روش مستقل برای تجزیه و تحلیل الکتروانسفالوگرام در هنگام تحریک شبکیه
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب (عمومی)
چکیده انگلیسی


- The method is capable of providing a good estimation of the ongoing EEG activities.
- The method is capable of providing a good estimation of the ongoing EEG activities.
- The ongoing EEG activity is provided on both time and frequency domains.
- Results have shown that the proposed method outperformed the coherence-based method.
- The contribution of the stimulation can be removed at a specific harmonic frequency.

BackgroundIntermittent photic stimulation (IPS) leads to phase- and time-locked activities in the electroencephalogram (EEG). While the first are easily obtained by means of averaging techniques (the evoked response), this latter reflects changes in the ongoing EEG that are important in event-related synchronization/desynchronization (ERS/ERD) studies. Techniques have been proposed for assessing such changes but they only provide the spectral estimate of the time-locked activities.New methodAn independent component analysis-based method is proposed for the EEG analysis during IPS. Artificially generated sinusoidal functions at the stimulation frequency and harmonics are used together with the acquired EEG signal to build the observed vector that is presented to the ICA algorithm.ResultsThe proposed method was evaluated with simulated data and applied to EEG signals acquired on two electrodes placed over the occipital region showing that this method is capable of providing a suitable estimation of the ongoing EEG activities in both time and frequency domains.Comparison with existing method(s)The results were compared with a coherence-based method, showing that the proposed method can estimate the power spectrum of the ongoing EEG activity as precisely as the coherence-based method with the advantage of allowing the ongoing EEG activity in time domain to be also obtained.ConclusionsThe application of the proposed method could be used for ERS/ERD studies, since it separates evoked responses, which are phase-locked to the stimuli, from those that change the ongoing EEG in a time-locked manner to the external stimulation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Neuroscience Methods - Volume 235, 30 September 2014, Pages 252-261
نویسندگان
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