EEG Biofeedback Decreases Theta and Beta Power While Increasing Alpha Power in Insomniacs: An Open-Label Study

Author:

Wang Huicong12345,Hou Yue1234567,Zhan Shuqin12345,Li Ning12345,Liu Jianghong12345,Song Penghui12345,Wang Yuping1234567,Wang Hongxing12345ORCID

Affiliation:

1. Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China

2. Beijing Key Laboratory of Neuromodulation, Beijing 100053, China

3. Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University, Beijing 100053, China

4. Center for Sleep and Consciousness Disorders, Beijing Institute for Brain Disorders, Beijing 100053, China

5. Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing 100053, China

6. Hebei Hospital of Xuanwu Hospital, Capital Medical University, Shijiazhuang 050030, China

7. Neuromedical Technology Innovation Center of Hebei Province, Shijiazhuang 050030, China

Abstract

Insomnia, often associated with anxiety and depression, is a prevalent sleep disorder. Biofeedback (BFB) treatment can help patients gain voluntary control over physiological events such as by utilizing electroencephalography (EEG) and electromyography (EMG) power. Previous studies have rarely predicted biofeedback efficacy by measuring the changes in relative EEG power; therefore, we investigated the clinical efficacy of biofeedback for insomnia and its potential neural mechanisms. We administered biofeedback to 82 patients with insomnia, of whom 68 completed 10 sessions and 14 completed 20 sessions. The average age of the participants was 49.38 ± 12.78 years, with 26 men and 56 women. Each biofeedback session consisted of 5 min of EMG and 30 min of EEG feedback, with 2 min of data recorded before and after the session. Sessions were conducted every other day, and four scale measures were taken before the first, fifth, and tenth sessions and after the twentieth session. After 20 sessions of biofeedback treatment, scores on the Pittsburgh Sleep Quality Index (PSQI) were significantly reduced compared with those before treatment (−5.5 ± 1.43,t = −3.85, p = 0.006), and scores on the Beck Depression Inventory (BDI-II) (−7.15 ± 2.43, t = −2.94, p = 0.012) and the State-Trait Anxiety Inventory (STAI) (STAI-S: −12.36 ± 3.40, t = −3.63, p = 0.003; and STAI-T: −9.86 ± 2.38, t = −4.41, p = 0.001) were significantly lower after treatment than before treatment. Beta and theta power were significantly reduced after treatment, compared with before treatment (F = 6.25, p = 0.014; and F = 11.91, p = 0.001). Alpha power was increased after treatment, compared with before treatment, but the difference was not prominently significant (p > 0.05). EMG activity was significantly decreased after treatment, compared with before treatment (F = 2.11, p = 0.015). Our findings suggest that BFB treatment based on alpha power and prefrontal EMG relieves insomnia as well as anxiety and depression and may be associated with increased alpha power, decreased beta and theta power, and decreased EMG power.

Funder

National Key R&D Program of China

Beijing Health System Leading Talent Grant

National Natural Science Foundation of China

Beijing Hospitals Authority Youth Plan

Publisher

MDPI AG

Subject

General Neuroscience

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