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

被引:10
|
作者
Pavlov, Alexey N. [1 ]
Pitsik, Elena N. [2 ]
Frolov, Nikita S. [2 ]
Badarin, Artem [2 ]
Pavlova, Olga N. [1 ]
Hramov, Alexander E. [2 ,3 ,4 ]
机构
[1] Saratov NG Chernyshevskii State Univ, Astrakhanskaya Str 83, Saratov 410012, Russia
[2] Innopolis Univ, Ctr Technol Robot & Mechatron Components, Neurosci & Cognit Technol Lab, Univ Skaya Str 1, Innopolis 420500, Russia
[3] Lobachevsky Univ, 23 Gagarina Ave, Nizhnii Novgorod 603950, Russia
[4] Saratov State Med Univ, Bolshaya Kazachya Str 112, Saratov 410012, Russia
基金
俄罗斯科学基金会;
关键词
detrended fluctuation analysis; long-range correlations; electroencephalography (EEG); motor-related brain activity; aging; DETRENDED FLUCTUATION ANALYSIS; ALZHEIMERS-DISEASE; FUNCTIONAL CONNECTIVITY; COMPENSATORY MECHANISMS; BEHAVIORAL VARIANT; BRAIN; NETWORKS; SPECTRUM; WHITE;
D O I
10.3390/s20205843
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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 alpha. Stronger responses in elderly subjects are confirmed, including the range and rate of increase in alpha. 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.
引用
收藏
页码:1 / 14
页数:14
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