Review of EEG-based neurofeedback as a therapeutic intervention to treat depression

Patil, Abhishek Uday; Lin, Chia Wei; Lee, Shwu-Hua; Huang, Hsu-Wen; Wu, Shun-Chi; Madathil, Deepa; Huang, Chih-Mao

doi:10.1016/j.pscychresns.2023.111591

Cited by 16 publications

(8 citation statements)

References 104 publications

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“…In this way, the effect of positive emotions is strengthened, so the negative emotions of patients with depression are reduced, and the positive emotions are increased, and this effect becomes more obvious as time goes on. A study on the regulation of music on depression showed that the less music clips used to stimulate negative emotions, the more music clips used to stimulate positive emotions, the lower the score of the depression self-rating scale, and the less obvious the depression [46]. Music and somatosensory can affect emotions, and more mechanisms are worthy of our continuous and in-depth research in the future.…”

Section: Improvement Of Depression Severity With Somatosensory Music ...mentioning

confidence: 99%

Research on the Intervention Effect of Vibroacoustic Therapy in the Treatment of Patients with Depression

Wang,

Xie,

2024

IJMHP

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Research purpose: This study implemented somatosensory music therapy on patients with depressive disorders, and explored the effects of somatosensory music therapy on the degree of depression, positive and negative emotions, intuitive stress and autonomic nervous function of patients. Research method: We collected 66 patients diagnosed with depression from the Department of Psychological Medicine of Henan Provincial People's Hospital, and divided them into a control group and an intervention group according to the random number table, with 33 people in each group. The control group received routine psychiatric treatment and nursing. On the basis of the control group, the intervention group received somatosensory music therapy 3 times a week, 30 min each time, for 4 consecutive weeks. The Hamilton Depression Scale, Positive and Negative Emotion Scale, Perceived Stress Scale, and Heart Rate Variability Index were collected and analyzed at baseline (T0), 2 weeks after treatment (T1) and 4 weeks after treatment (T2). Research results: After 4 weeks of treatment, the HAMD scores of the two groups decreased to varying degrees, and the difference between the groups was statistically significant (p < 0.05). After 4 weeks of treatment, the scores of positive emotions in both groups increased to varying degrees, and the scores of negative emotions increased to varying degrees. The scores decreased to varying degrees, and there were statistically significant differences between the positive and negative emotion groups (p < 0.05). After 4 weeks of treatment, the CPSS scores of the two groups decreased to varying degrees, and the difference between the two groups was statistically significant (p < 0.05). Analyzing the main effect of intervention factors alone, after 4 weeks of treatment, SDNN and RMSSD indexes all increased to varying degrees, and the degree of increase in the intervention group was greater than that in the control group, and the difference between the groups was statistically significant (p < 0.05). Research conclusion: assisting somatosensory music therapy for patients with depressive disorders can improve depressive symptoms, increase positive emotions, reduce negative emotions, and reduce perceived stress. These are beneficial to restore the balance of autonomic nervous system, and are effective for the treatment of depression.

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Section: Improvement Of Depression Severity With Somatosensory Music ...mentioning

confidence: 99%

Research on the Intervention Effect of Vibroacoustic Therapy in the Treatment of Patients with Depression

Wang,

Xie,

2024

IJMHP

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“…Pre-(day-1) and post-(day-3) the "SKY course", brainwaves (delta, theta, alpha, SMR, beta1, and beta2 waves) were captured from the central (Cz, C3, and C4), frontal (Fz, F3, and F4), and parietal (P3, [119]. Figure 2d presents the results of a "case study on the potential of QEEG and Neurofeedback for assessment and treatment of panic attacks (PA)" [120]. The subject's clinical history was as follows; a 47-year-old man, with an academic degree, working in a management position and married for 15 years with 2 children was affected by PA.…”

Section: Qeeg and Sloretamentioning

confidence: 99%

The “Tipping Point” : When Electroencephalography (EEG), Quantitative EEG (QEEG) and Standardized Low Resolution Brain Electromagnetic Tomography (sLORETA) in COVID Went From “Ceasure” To “Non- Priority” To “First-Line” Tool in Triage, Diagnosis, Monitoring and Therapy

Miranda,

Danev,

Alexander

et al. 2024

Neuro Neurosci

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On the threshold of the COVID outbreak; electroencephalography (EEG) was used in diagnosis, crossborder disease differential diagnosis, disease-staging, monitoring of treatment, sedation and coma, in neuro-therapy and in declaration of brain death. EEG, quantitative EEG (QEEG), and standardized low resolution brain electromagnetic tomography (sLORETA) use entered the doldrums; reaching near “ceasure” due to COVID restrictions. Between 2020-2023, EEG use tipped, going from “Ceasure” to “First-Line” tool in triage, diagnosis, monitoring and therapy due to neurological, neurocognitive, neuropsychiatric, and neuromuscular sequelae of para- or acute- and post-COVID-19. The present paper will discuss this “Tipping point” in EEG, QEEG and sLORETA use.

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“…These signals offer valuable information on the operating mechanisms of the brain, covering the identification of various neurological disorders and the exploration of cognitive processes such as perception, attention, and memory. EEG has gained widespread popularity as a means of investigating electrical activity of the human brain, due to its noninvasive and safe characteristics [ 7 ]. In addition, EEG signals have the potential to be integrated with other imaging modalities, including magnetic resonance imaging (MRI) [ 8 , 9 ], functional near-infrared spectroscopy (fNIRS) [ 10 , 11 , 12 ], and positron emission tomography (PET) [ 13 ], in order to achieve a better understanding of brain function and structure.…”

Section: Introductionmentioning

confidence: 99%

Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques

Chaddad

Kateb

et al. 2023

Sensors

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The electroencephalography (EEG) signal is a noninvasive and complex signal that has numerous applications in biomedical fields, including sleep and the brain–computer interface. Given its complexity, researchers have proposed several advanced preprocessing and feature extraction methods to analyze EEG signals. In this study, we analyze a comprehensive review of numerous articles related to EEG signal processing. We searched the major scientific and engineering databases and summarized the results of our findings. Our survey encompassed the entire process of EEG signal processing, from acquisition and pretreatment (denoising) to feature extraction, classification, and application. We present a detailed discussion and comparison of various methods and techniques used for EEG signal processing. Additionally, we identify the current limitations of these techniques and analyze their future development trends. We conclude by offering some suggestions for future research in the field of EEG signal processing.

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Review of EEG-based neurofeedback as a therapeutic intervention to treat depression

Cited by 16 publications

References 104 publications

Research on the Intervention Effect of Vibroacoustic Therapy in the Treatment of Patients with Depression

Research on the Intervention Effect of Vibroacoustic Therapy in the Treatment of Patients with Depression

The “Tipping Point” : When Electroencephalography (EEG), Quantitative EEG (QEEG) and Standardized Low Resolution Brain Electromagnetic Tomography (sLORETA) in COVID Went From “Ceasure” To “Non- Priority” To “First-Line” Tool in Triage, Diagnosis, Monitoring and Therapy

Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques

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