Age-Related Distinctions in EEG Signals during Execution of Motor Tasks Characterized in Terms of Long-Range Correlations

• Published in: Sensors (Basel, Switzerland) Vol. 20; no. 20; p. 5843
• Main Authors: Pavlov, Alexey N., Pitsik, Elena N., Frolov, Nikita S., Badarin, Artem, Pavlova, Olga N., Hramov, Alexander E.
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 15.10.2020; MDPI
• Subjects: Age; Aged; Aging; Alzheimer's disease; Correlation analysis; Data processing; Datasets; detrended fluctuation analysis; Electroencephalography; electroencephalography (EEG); Humans; Letter; long-range correlations; motor-related brain activity; Physiology; Signal processing; electroencephalography (EEG); aging; motor-related brain activity; long-range correlations; detrended fluctuation analysis
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s20205843

The problem of revealing age-related distinctions in multichannel electroencephalograms (EEGs) during the execution of motor tasks in young and elderly adults is addressed herein. Based on the detrended fluctuation analysis (DFA), differences in long-range correlations are considered, emphasizing changes in the scaling exponent α. Stronger responses in elderly subjects are confirmed, including the range and rate of increase in α. Unlike elderly subjects, young adults demonstrated about 2.5 times more pronounced differences between motor task responses with the dominant and non-dominant hand. Knowledge of age-related changes in brain electrical activity is important for understanding consequences of healthy aging and distinguishing them from pathological changes associated with brain diseases. Besides diagnosing age-related effects, the potential of DFA can also be used in the field of brain–computer interfaces.