EEG spectral and connectivity parameters as cognitive biomarkers in Parkinson disease

Abstract Background Cognitive decline is a common presentation of Parkinson’s disease (PD) and continued search exists for reliable biomarker early identification management this clinical problem. The objective study to select the most useful in assessment PD-related cognitive decline. This cross-sectional included 47 patients with PD matched healthy controls. All participants were assessed by quantitative electroencephalography (QEEG) spectral (relative power background peak frequency) connectivity measures (coherence phase lag degree), addition evaluation using Unified Disease Rating Scale (UPDRS)and Modified Hoehn Yahr staging scale neuropsychological Montreal Assessment (MoCA). Results showed significantly higher relative all frequency bands over right temporal region no significant changes frequency, coherence degree compared impaired cognition (MoCA < 26) had lower global power, more marked alpha beta normal cognition. Alpha frontal regions correlation different domains MoCA score. Conclusions QEEG especially could be used as adjunct