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Frontoparietal Alpha and Beta Coherence as Predictors of Attention Performance in Multiple Sclerosis
Maryam Rohani Haghighi , Mohammad Nami , Abbas Rahimi Jaberi , Peyman Hasanpoor Haghighi , Khojaste Rahimi Jaberi *
Department of Neuroscience, Faculty of Modern Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran & School of advanced medical sciences and technologies , khrahimijaberi@gmail.com
Abstract:   (41 Views)
Introduction: Previous studies have suggested a correlation between resting-state quantitative electroencephalography (RS-qEEG) parameters and cognitive decline, including information processing speed, in patients with multiple sclerosis (MS), particularly linked to increased slow-wave activity over frontal brain regions. This study aimed to evaluate the correlation between attention task performance and RS-qEEG parameters in Iranian patients with MS. Materials and Methods: Sixteen patients with a definite clinical diagnosis of MS, aged 18 to 40 years, were enrolled in this cross-sectional study. RS-qEEG data were recorded in an eyes-open resting state using a 32-channel amplifier and preprocessed for analysis. Attention performance was assessed using the Repeatable Battery for the Assessment of Neuropsychological Status, and its correlation with RS-qEEG parameters was analyzed using Pearson’s correlation coefficient .Results: A significant positive correlation was observed between attention test scores and frontoparietal (F4–P4) alpha and beta coherence z-scores (r = 0.653, p = 0.006). Although other qEEG parameters showed a trend toward negative correlation with attention performance, these relationships were not statistically significant .Conclusion: Our findings suggest that F4-P4 alpha and beta coherence z-scores may serve as potential qEEG neuromarkers for predicting attention performance in patients with MS. Further studies should explore the role of non-invasive neuromodulation in improving attention deficits in this population.
 
Keywords: Electroencephalography, Cognitive Dysfunction, Neuropsychological Tests, Alpha Rhythm, Beta Rhythm
Full-Text [PDF 963 kb]   (3 Downloads)    
Type of Study: Research --- Open Access, CC-BY-NC | Subject: Cognitive Neuroscience
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