Electrophysiological brain abnormities in major depressive disorder: microstate analysis on high-density EEG in resting condition
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| Year of publication | 2018 |
| Type | Conference abstract |
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| Description | Objective : The aim of the study was to identify electrophysiological biomarkers of major depressive disorder (MDD) through high-density EEG technique. Methods: Ten patients (7men and 3 women, mean age 53±7 years) suffering from MDD and ten healthy controls (7men and 3 women, mean age 49±8 years) underwent EEG recording using 128 or 256 scalp electrodes during eyes closed resting-state condition. Microstate analysis was performed at individual and group levels. Microstate variants were identified and their parameters such as mean correlation, mean duration, time coverage, and frequency of occurrence were evaluated. Results: Cross-validation criterion used to determine the most dominant topographies revealed five (A-E) microstate classes explaining 79 % of global variance. Results of two-way repeated measures ANOVA revealed significant group x microstate interaction for frequency of occurrence. Post-hoc test revealed significant group difference for class A microstate, which showed decreased value in MDD patients. Conclusion: Parameters revealed by microstate analysis are suggested to be possible electrophysiological biomarkers of functional brain abnormities in MDD patients. The study has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 739939. |