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A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
Published on: November 13, 2016
Quantitative electroencephalography reveals different physiological profiles between benign and remitting-relapsing
Manuel Vazquez-Marrufo1, Javier J Gonzalez-Rosa, Encarnacion Vaquero
1Laboratory of Psychophysiology, Department of Experimental Psychology, University of Seville, Camilo Jose Cela s/n, 41018 Seville, Spain. marrufo@us.es
Quantified EEG (QEEG) during cognitive tasks revealed distinct high-frequency brain activity patterns in remitting-relapsing multiple sclerosis (RRMS) patients, unlike benign MS or controls. These findings may indicate compensatory mechanisms in RRMS.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Clinical Neurology
Background:
- Multiple sclerosis (MS) diagnosis may benefit from physiological markers.
- Quantified electroencephalography (QEEG) during cognitive tasks can reveal brain activity changes.
- Spectral content modulations in EEG are of interest in remitting-relapsing MS (RRMS) and benign MS (BMS).
Purpose of the Study:
- To investigate EEG spectral modulations during a visuo-spatial task in RRMS and BMS patients.
- To identify potential physiological markers for MS subtypes using QEEG.
- To compare QEEG profiles between RRMS, BMS, and control groups.
Main Methods:
- QEEG analysis of delta, theta, alpha, beta, and gamma bands using Fast-Fourier-Transformation (FFT).
- Z-transformation applied to observe individual spectral modulation profiles.
- Correlation analysis between QEEG values and clinical/cognitive variables.
Main Results:
- 42% of RRMS patients showed significant increases in beta-2 and gamma bands compared to controls.
- These alterations were localized to specific brain regions (anterior right hemisphere, bilateral posterior scalp).
- No significant differences were observed in BMS patients or correlations with clinical variables.
Conclusions:
- High EEG spectrum changes (beta-2, gamma) during attentional processing may indicate physiological alterations in MS patients.
- These spectral patterns could represent compensatory mechanisms or cortical excitatory states specific to RRMS.
- QEEG during cognitive tasks reveals changes not detected by spontaneous EEG analysis.
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