1
|
Xia Z, Yang PY, Chen SL, Zhou HY, Yan C. Uncovering the power of neurofeedback: a meta-analysis of its effectiveness in treating major depressive disorders. Cereb Cortex 2024; 34:bhae252. [PMID: 38889442 DOI: 10.1093/cercor/bhae252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 05/25/2024] [Accepted: 06/04/2024] [Indexed: 06/20/2024] Open
Abstract
Neurofeedback, a non-invasive intervention, has been increasingly used as a potential treatment for major depressive disorders. However, the effectiveness of neurofeedback in alleviating depressive symptoms remains uncertain. To address this gap, we conducted a comprehensive meta-analysis to evaluate the efficacy of neurofeedback as a treatment for major depressive disorders. We conducted a comprehensive meta-analysis of 22 studies investigating the effects of neurofeedback interventions on depression symptoms, neurophysiological outcomes, and neuropsychological function. Our analysis included the calculation of Hedges' g effect sizes and explored various moderators like intervention settings, study designs, and demographics. Our findings revealed that neurofeedback intervention had a significant impact on depression symptoms (Hedges' g = -0.600) and neurophysiological outcomes (Hedges' g = -0.726). We also observed a moderate effect size for neurofeedback intervention on neuropsychological function (Hedges' g = -0.418). As expected, we observed that longer intervention length was associated with better outcomes for depressive symptoms (β = -4.36, P < 0.001) and neuropsychological function (β = -2.89, P = 0.003). Surprisingly, we found that shorter neurofeedback sessions were associated with improvements in neurophysiological outcomes (β = 3.34, P < 0.001). Our meta-analysis provides compelling evidence that neurofeedback holds promising potential as a non-pharmacological intervention option for effectively improving depressive symptoms, neurophysiological outcomes, and neuropsychological function in individuals with major depressive disorders.
Collapse
Affiliation(s)
- Zheng Xia
- Key Laboratory of Brain Functional Genomics (MOE&STCSM), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, 3663 North Zhongshan Road, Shanghai 200062, China
- Shanghai Changning Mental Health Center, 299 Xiehe Road, Shanghai 200335, China
| | - Peng-Yuan Yang
- Department of Methodology and Statistics, Faculty of Behavioral and Social Sciences, Tilburg University, Warandelaan 2, 5037 AB, Tilburg, The Netherlands
| | - Si-Lu Chen
- Shanghai Changning Mental Health Center, 299 Xiehe Road, Shanghai 200335, China
| | - Han-Yu Zhou
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, 3663 North Zhongshan Road, Shanghai 200062, China
| | - Chao Yan
- Key Laboratory of Brain Functional Genomics (MOE&STCSM), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, 3663 North Zhongshan Road, Shanghai 200062, China
- Shanghai Changning Mental Health Center, 299 Xiehe Road, Shanghai 200335, China
- Key Laboratory of Philosophy and Social Science of Anhui Province on Adolescent Mental Health and Crisis Intelligence Intervention, Hefei Normal University, 1688 Lianhua Road, Hefei 230601, China
| |
Collapse
|
2
|
Mergl R, Karch S, Henl J, Meindl D, Schöpf F, Szabo SI, Hallweger P, Heiler P, Maywald M, Tschentscher N, Allgaier AK, Pogarell O. Effects of Four Different EEG-Neurofeedback Reinforcement Types in Healthy Individuals - A Pilot Study. Clin EEG Neurosci 2024; 55:305-316. [PMID: 36373604 DOI: 10.1177/15500594221138278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
EEG neurofeedback (EEG-NFB) is a promising tool for the treatment of depressive disorders. However, many methods for the presentation of neurobiological reactions are available and it is widely unknown which of these feedback options are preferrable. Moreover, the influence of motivation on NFB training success is insufficiently studied. This study analyzed the efficacy of a novel EEG protocol (FC3/Pz) based on findings for NFB in depression. The role of four feedback options (Rumination, Anxiety, Meditation Master, Moving Art) from the NFB software "Brain Assistant" and motivation in EEG-based NFB performance was studied. Regarding "Anxiety" and "Rumination" visual feedback was used to evoke emotions; reinforcement (both negative and positive operant conditioning) was continuous. Regarding "Meditation Master" visual feedback was combined with continuous positive reinforcement. Regarding "Moving Art" 20-min calm nature films with neutral character were used; both visual and auditive feedback were applied. The reinforcement was positive and continuous. 13 healthy participants completed 15 EEG sessions over four months combining simultaneous frontal (aims: reduction of theta-, alpha- and high beta-activity, increase of low and mid beta-activity) and parietal training (aims: reduction of theta-, alpha 1-, mid and high beta-activity, increase of alpha 2- and low beta-activity). We observed significantly more pronounced percentage change in the expected direction for Anxiety than Moving Art (mean difference = 3.32; p = 0.003). The association between motivation and performance was non-significant. Based on these results we conclude that feedback with both negative and positive operant conditioning and emotion evoking effects should be preferred.
Collapse
Affiliation(s)
- Roland Mergl
- Institute of Psychology, Universität der Bundeswehr München, Neubiberg, Germany
| | - Susanne Karch
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Jennifer Henl
- Institute of Psychology, Universität der Bundeswehr München, Neubiberg, Germany
| | - Dorothea Meindl
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Felix Schöpf
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Szilard I Szabo
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Paulina Hallweger
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Philipp Heiler
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- Medical Practice for Neurofeedback Philipp Heiler, Munich, Germany
| | - Maximilian Maywald
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Nadja Tschentscher
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | | | - Oliver Pogarell
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| |
Collapse
|
3
|
Lee E, Hong JK, Choi H, Yoon IY. Modest Effects of Neurofeedback-Assisted Meditation Using a Wearable Device on Stress Reduction: A Randomized, Double-Blind, and Controlled Study. J Korean Med Sci 2024; 39:e94. [PMID: 38469966 PMCID: PMC10927393 DOI: 10.3346/jkms.2024.39.e94] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 01/08/2024] [Indexed: 03/13/2024] Open
Abstract
BACKGROUND To evaluate the therapeutic effectiveness and safety of a neurofeedback wearable device for stress reduction. METHODS A randomized, double-blind, controlled study was designed. Participants had psychological stress with depression or sleep disturbances. They practiced either neurofeedback-assisted meditation (n = 20; female, 15 [75.0%]; age, 49.40 ± 11.76 years) or neurofeedback non-assisted meditation (n = 18; female, 11 [61.1%]; age, 48.67 ± 12.90 years) for 12 minutes twice a day for two weeks. Outcome variables were self-reported questionnaires, including the Korean version of the Perceived Stress Scale, Beck Depression Inventory-II, Insomnia Severity Index, Pittsburgh Sleep Quality Index, and State Trait Anxiety Index, quantitative electroencephalography (qEEG), and blood tests. Satisfaction with device use was measured at the final visit. RESULTS The experimental group had a significant change in PSS score after two weeks of intervention compared with the control group (6.45 ± 0.95 vs. 3.00 ± 5.54, P = 0.037). State anxiety tended to have a greater effect in the experimental group than in the control group (P = 0.078). Depressive mood and sleep also improved in each group, with no significant difference between the two groups. There were no significant differences in stress-related physiological parameters, such as stress hormones or qEEG, between the two groups. Subjective device satisfaction was significantly higher in the experimental group than in the control group (P = 0.008). CONCLUSION Neurofeedback-assisted meditation using a wearable device can help improve subjective stress reduction compared with non-assisted meditation. These results support neurofeedback as an effective adjunct to meditation for relieving stress. TRIAL REGISTRATION Clinical Research Information Service Identifier: KCT0007413.
Collapse
Affiliation(s)
- Eunyoung Lee
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Jung Kyung Hong
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea
| | - Hayun Choi
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea
- Department of Psychiatry, Veteran Health Service Medical Center, Seoul, Korea
| | - In-Young Yoon
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea.
| |
Collapse
|
4
|
Dobbins ICDS, Bastos M, Ratis RC, Silva WCFND, Bonini JS. Effects of neurofeedback on major depressive disorder: a systematic review. EINSTEIN-SAO PAULO 2023; 21:eRW0253. [PMID: 37493834 PMCID: PMC10356125 DOI: 10.31744/einstein_journal/2023rw0253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 01/31/2023] [Indexed: 07/27/2023] Open
Abstract
BACKGROUND Major depressive disorder is a difficult-to-treat psychological disorder. Approximately 30% of patients with major depressive disorder do not respond to conventional therapies; thus, the efficacy of alternative therapies for treating major depressive disorder, such as neurofeedback, a non-invasive neuromodulation method used in the treatment of psychiatric diseases, must be investigated. OBJECTIVE We aimed to evaluate the efficacy of neurofeedback in minimizing and treating major depressive disorder and its application as a substitute to or an adjuvant with conventional therapies. METHODS We searched for experimental studies published between 1962-2021 in Scopus, PubMed, Web of Science, and Embase databases and identified 1,487 studies, among which 13 met the inclusion exclusion criteria. RESULTS We noted that not all patients responded to neurofeedback. Based on depression scales, major depressive disorder significantly improved in response to neurofeedback only in a few individuals. Additionally, the number of training sessions did not influence the results. CONCLUSION Neurofeedback can reduce depression symptoms in patients; however, not all patients respond to the treatment. Therefore, further studies must be conducted to validate the effectiveness of neurofeedback in treating major depressive disorder.
Collapse
Affiliation(s)
| | - Murilo Bastos
- Department of Pharmaceutics Science, Universidade Estadual do Centro-Oeste, Guarapuava, PR, Brazil
| | - Renan Cassiano Ratis
- Department of Pharmaceutics Science, Universidade Estadual do Centro-Oeste, Guarapuava, PR, Brazil
| | | | - Juliana Sartori Bonini
- Department of Pharmaceutics Science, Universidade Estadual do Centro-Oeste, Guarapuava, PR, Brazil
| |
Collapse
|
5
|
Tsai HJ, Yang WC, Tsai SJ, Lin CH, Yang AC. Right-side frontal-central cortical hyperactivation before the treatment predicts outcomes of antidepressant and electroconvulsive therapy responsivity in major depressive disorder. J Psychiatr Res 2023; 161:377-385. [PMID: 37012197 DOI: 10.1016/j.jpsychires.2023.03.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/08/2023] [Accepted: 03/13/2023] [Indexed: 04/05/2023]
Abstract
Major depressive disorder places a great burden on healthcare resources worldwide. Antidepressants are the first-line treatment for major depressive disorder, but if patients don't respond adequately, brain stimulation therapy may be needed as second-line treatment. Digital phenotyping in patients with major depressive disorder will aid in the timely prediction of treatment effectiveness. This study explored electroencephalographic (EEG) signatures that diversify depression treatment responsivity, including antidepressant administration or brain stimulation therapy. Resting-state, pre-treatment EEG sequences from depressive patients who received fluoxetine treatment (n = 55; 26 remitters and 29 poor responders) or electroconvulsive therapy (ECT, n = 58; 36 remitters and 22 nonremitters) were recorded on 19 channels. Twenty-nine EEG segments were obtained from each patient per recording electrode. Power spectral analysis was conducted for feature extraction and showed the highest predictive accuracy for fluoxetine or ECT outcomes. Both occurred with beta-band oscillations within right-side frontal-central (F1-score = 0.9437) or prefrontal areas of the brain (F1-score = 0.9416), respectively. Significantly higher beta-band power was observed among patients who lacked adequate treatment response than the remitters, specifically at 19.2 Hz or 24.5 Hz for fluoxetine administration or ECT outcome, respectively. Our findings indicated that pre-treatment, right-side cortical hyperactivation is associated with poor outcomes of antidepressant-based or ECT-based treatment in major depression. Whether depression treatment response rates can be improved by reducing the high-frequency EEG power in corresponding areas of the brain to provide a protective effect against depression recurrence warrants further study.
Collapse
Affiliation(s)
- Hsin-Jung Tsai
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan; Digital Medicine and Smart Healthcare Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Wei-Cheng Yang
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Psychiatry, Tainan Hospital, Ministry of Health and Welfare, Tainan, Taiwan
| | - Shih-Jen Tsai
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Psychiatry, Taipei Veteran General Hospital, Taipei, Taiwan
| | - Ching-Hua Lin
- Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung, Taiwan.
| | - Albert C Yang
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan; Digital Medicine and Smart Healthcare Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan.
| |
Collapse
|
6
|
Patil AU, Lin C, Lee SH, Huang HW, Wu SC, Madathil D, Huang CM. Review of EEG-based neurofeedback as a therapeutic intervention to treat depression. Psychiatry Res 2023; 329:111591. [PMID: 36682174 PMCID: PMC9837232 DOI: 10.1016/j.pscychresns.2023.111591] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 11/24/2022] [Accepted: 01/08/2023] [Indexed: 01/15/2023]
Abstract
Depression, or major depressive disorder, is a common mental disorder that affects individuals' behavior, mood, and physical health, and its prevalence has increased during the lockdowns implemented to curb the COVID-19 pandemic. There is an urgent need to update the treatment recommendations for mental disorders during such crises. Conventional interventions to treat depression include long-term pharmacotherapy and cognitive behavioral therapy. Electroencephalogram-neurofeedback (EEG-NF) training has been suggested as a non-invasive option to treat depression with minimal side effects. In this systematic review, we summarize the recent literature on EEG-NF training for treating depression. The 12 studies included in our final sample reported that despite several issues related to EEG-NF practices, patients with depression showed significant cognitive, clinical, and neural improvements following EEG-NF training. Given its low cost and the low risk of side effects due to its non-invasive nature, we suggest that EEG-NF is worth exploring as an augmented tool for patients who already receive standard medications but remain symptomatic, and that EEG-NF training may be an effective intervention tool that can be utilized as a supplementary treatment for depression. We conclude by providing some suggestions related to experimental designs and standards to improve current EEG-NF training practices for treating depression.
Collapse
Affiliation(s)
- Abhishek Uday Patil
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan; Center for Intelligent Drug Systems and Smart Bio-devices (IDS(2)B), National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Chemin Lin
- Department of Psychiatry, Chang Gung Memorial Hospital, Keelung, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan; Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Shwu-Hua Lee
- College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Psychiatry, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Hsu-Wen Huang
- Department of Linguistics and Translation, City University of Hong Kong, Hong Kong
| | - Shun-Chi Wu
- Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan
| | - Deepa Madathil
- Jindal Institute of Behavioural Sciences, O.P. Jindal Global University, Haryana, India.
| | - Chih-Mao Huang
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan; Center for Intelligent Drug Systems and Smart Bio-devices (IDS(2)B), National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
| |
Collapse
|
7
|
Migalina VV, Omelchenko MA, Lebedeva IS, Kaleda VG. [Application of the biofeedback method in the therapy of depression]. Zh Nevrol Psikhiatr Im S S Korsakova 2023; 123:122-126. [PMID: 38127712 DOI: 10.17116/jnevro2023123112122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
In order to systematize the modern literature data on the effectiveness of biofeedback in the treatment of patients with depressive disorders, clinical efficacy and prospects for use in psychiatric practice, publications in the MEDLINE / PubMed, eLibrary databases from 2013 to 2023, as well as relevant references in the reference lists of the analyzed articles, were selected by the keywords «biofeedback», «depression», «depression therapy», «electroencephalogram», «non-drug treatments for depression». The analysis of data has shown that the biofeedback method demonstrates a certain therapeutic potential in the treatment of depression. It can be used to augment therapy in case of insufficient therapeutic effect, with low patient compliance, as well as poor tolerability of psychopharmacotherapy and in the presence of residual symptoms after pharmacological treatment. The method allows the correction of the psycho-emotional state, improves the balance between the parasympathetic and sympathetic divisions of the autonomic nervous system, and contributes to a more stable clinical effect. At the same time, further studies are needed, with the inclusion of large samples of patients from various nosological groups and with an analysis of the comparability of the effects of various biofeedback protocols.
Collapse
Affiliation(s)
| | | | | | - V G Kaleda
- Mental Health Research Center, Moscow, Russia
| |
Collapse
|
8
|
Perez TM, Glue P, Adhia DB, Navid MS, Zeng J, Dillingham P, Smith M, Niazi IK, Young CK, De Ridder D. Infraslow closed-loop brain training for anxiety and depression (ISAD): a protocol for a randomized, double-blind, sham-controlled pilot trial in adult females with internalizing disorders. Trials 2022; 23:949. [PMID: 36397122 PMCID: PMC9670077 DOI: 10.1186/s13063-022-06863-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 10/22/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The core intrinsic connectivity networks (core-ICNs), encompassing the default-mode network (DMN), salience network (SN) and central executive network (CEN), have been shown to be dysfunctional in individuals with internalizing disorders (IDs, e.g. major depressive disorder, MDD; generalized anxiety disorder, GAD; social anxiety disorder, SOC). As such, source-localized, closed-loop brain training of electrophysiological signals, also known as standardized low-resolution electromagnetic tomography (sLORETA) neurofeedback (NFB), targeting key cortical nodes within these networks has the potential to reduce symptoms associated with IDs and restore normal core ICN function. We intend to conduct a randomized, double-blind (participant and assessor), sham-controlled, parallel-group (3-arm) trial of sLORETA infraslow (<0.1 Hz) fluctuation neurofeedback (sLORETA ISF-NFB) 3 times per week over 4 weeks in participants (n=60) with IDs. Our primary objectives will be to examine patient-reported outcomes (PROs) and neurophysiological measures to (1) compare the potential effects of sham ISF-NFB to either genuine 1-region ISF-NFB or genuine 2-region ISF-NFB, and (2) assess for potential associations between changes in PRO scores and modifications of electroencephalographic (EEG) activity/connectivity within/between the trained regions of interest (ROIs). As part of an exploratory analysis, we will investigate the effects of additional training sessions and the potential for the potentiation of the effects over time. METHODS We will randomly assign participants who meet the criteria for MDD, GAD, and/or SOC per the MINI (Mini International Neuropsychiatric Interview for DSM-5) to one of three groups: (1) 12 sessions of posterior cingulate cortex (PCC) ISF-NFB up-training (n=15), (2) 12 sessions of concurrent PCC ISF up-training and dorsal anterior cingulate cortex (dACC) ISF-NFB down-training (n=15), or (3) 6 sessions of yoked-sham training followed by 6 sessions genuine ISF-NFB (n=30). Transdiagnostic PROs (Hospital Anxiety and Depression Scale, HADS; Inventory of Depression and Anxiety Symptoms - Second Version, IDAS-II; Multidimensional Emotional Disorder Inventory, MEDI; Intolerance of Uncertainty Scale - Short Form, IUS-12; Repetitive Thinking Questionnaire, RTQ-10) as well as resting-state neurophysiological measures (full-band EEG and ECG) will be collected from all subjects during two baseline sessions (approximately 1 week apart) then at post 6 sessions, post 12 sessions, and follow-up (1 month later). We will employ Bayesian methods in R and advanced source-localisation software (i.e. exact low-resolution brain electromagnetic tomography; eLORETA) in our analysis. DISCUSSION This protocol will outline the rationale and research methodology for a clinical pilot trial of sLORETA ISF-NFB targeting key nodes within the core-ICNs in a female ID population with the primary aims being to assess its potential efficacy via transdiagnostic PROs and relevant neurophysiological measures. TRIAL REGISTRATION Our study was prospectively registered with the Australia New Zealand Clinical Trials Registry (ANZCTR; Trial ID: ACTRN12619001428156). Registered on October 15, 2019.
Collapse
Affiliation(s)
- Tyson M Perez
- Department of Surgical Sciences, University of Otago, Dunedin, New Zealand.
- Department of Psychological Medicine, University of Otago, Dunedin, New Zealand.
| | - Paul Glue
- Department of Psychological Medicine, University of Otago, Dunedin, New Zealand
| | - Divya B Adhia
- Department of Surgical Sciences, University of Otago, Dunedin, New Zealand
| | - Muhammad S Navid
- Centre for Chiropractic Research, New Zealand College of Chiropractic, Auckland, New Zealand
- Donders Institute for Brain, Cognition and Behaviour, Radbout University Medical Center, Nijmegen, The Netherlands
| | - Jiaxu Zeng
- Department of Preventative & Social Medicine, Otago Medical School-Dunedin Campus, University of Otago, Dunedin, New Zealand
| | - Peter Dillingham
- Coastal People Southern Skies Centre of Research Excellence, Department of Mathematics & Statistics, University of Otago, Dunedin, New Zealand
| | - Mark Smith
- Neurofeedback Therapy Services of New York, New York, USA
| | - Imran K Niazi
- Centre for Chiropractic Research, New Zealand College of Chiropractic, Auckland, New Zealand
| | - Calvin K Young
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Dirk De Ridder
- Department of Surgical Sciences, University of Otago, Dunedin, New Zealand
| |
Collapse
|
9
|
The relationship between emotional regulation and hemispheric lateralization in depression: a systematic review and a meta-analysis. Transl Psychiatry 2022; 12:162. [PMID: 35429989 PMCID: PMC9013387 DOI: 10.1038/s41398-022-01927-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 03/30/2022] [Accepted: 04/01/2022] [Indexed: 11/14/2022] Open
Abstract
From a neurobiological perspective, diverse studies have associated emotional regulation with cognitive deficits. Structural and/or metabolic changes in the frontal cortex are often inferred from dysfunction in cognitive-emotional processing. In addition, electroencephalographic findings support the idea that alpha band oscillations are responses to these same processes. Thus, the objective of this meta-analytical literature review is to verify whether the possible hemispheric lateralization attributed to frontal alpha asymmetry (FAA) correlates with emotional regulation and the cognitive deficits underlying depression. The data included in our meta-analysis are from articles published from 2009 to July 2020, which utilized DSM or ICD criteria to diagnose depression or anxiety disorders and included a control group. For statistical analysis, the measurements obtained through the 10-20 electroencephalography system were used. The frontal alpha asymmetry index was calculated from the difference between the logarithm of the absolute spectral values in the alpha rhythm observed from the F4 and F3 electrodes that were fixed to the scalp of the frontal region of the right and left hemispheres (ln µV² RH-ln µV² LH) = (F4-F3). Eighteen articles were included in the systematic review. Of these, 9 were homogeneous enough for statistical analyses (total N: 1061; NDep: 326; Ncont: 735). Nine others could not be statistically analyzed due to the absence of FAA measurements from the F4 and F3 electrodes. A random effects meta-analysis revealed low heterogeneity (Qt = 11,00, df = 8, p = 0.20, I2 = 27%) and an average effect size of the studies equal to -0.03 (CI = [-0.07 to 0.01]). The results, although not significant, suggested a slight tendency toward left lateralization in the depression group. Although the effects shown in these data did not confirm hemispherical lateralization in depressed patients, it was found that emotional regulation and cognitive processes share similar neural circuits. Therefore, future research on this complex relationship is encouraged, especially studies that are focused on the search for quantitative biological markers in depression.
Collapse
|
10
|
Russo GM, Balkin RS, Lenz AS. A meta‐analysis of neurofeedback for treating anxiety‐spectrum disorders. JOURNAL OF COUNSELING AND DEVELOPMENT 2022. [DOI: 10.1002/jcad.12424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- G. Michael Russo
- Department of Counselor Education Boise State University Boise Idaho USA
- Institute for the Study of Behavioral Health and Addiction Boise State University Boise Idaho USA
| | - Richard S. Balkin
- Department of Leadership and Counselor Education The University of Mississippi Oxford Mississippi USA
| | - A. Stephen Lenz
- Department of Counseling Health and Kinesiology Texas A&M University–San Antonio San Antonio Texas USA
| |
Collapse
|
11
|
Fernández-Alvarez J, Grassi M, Colombo D, Botella C, Cipresso P, Perna G, Riva G. Efficacy of bio- and neurofeedback for depression: a meta-analysis. Psychol Med 2022; 52:201-216. [PMID: 34776024 PMCID: PMC8842225 DOI: 10.1017/s0033291721004396] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 09/29/2021] [Accepted: 10/07/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND For many years, biofeedback and neurofeedback have been implemented in the treatment of depression. However, the effectiveness of these techniques on depressive symptomatology is still controversial. Hence, we conducted a meta-analysis of studies extracted from PubMed, Scopus, Web of Science and Embase. METHODS Two different strings were considered for each of the two objectives of the study: A first group comprising studies patients with major depressive disorder (MDD) and a second group including studies targeting depressive symptomatology reduction in other mental or medical conditions. RESULTS In the first group of studies including patients with MDD, the within-group analyses yielded an effect size of Hedges' g = 0.717, while the between-group analysis an effect size of Hedges' g = 1.050. Moderator analyses indicate that treatment efficacy is only significant when accounting for experimental design, in favor of randomized controlled trials (RCTs) in comparison to non RCTs, whereas the type of neurofeedback, trial design, year of publication, number of sessions, age, sex and quality of study did not influence treatment efficacy. In the second group of studies, a small but significant effect between groups was found (Hedges' g = 0.303) in favor of bio- and neurofeedback against control groups. Moderator analyses revealed that treatment efficacy was not moderated by any of the sociodemographic and clinical variables. CONCLUSIONS Heart rate variability (HRV) biofeedback and neurofeedback are associated with a reduction in self-reported depression. Despite the fact that the field has still a large room for improvement in terms of research quality, the results presented in this study suggests that both modalities may become relevant complementary strategies for the treatment of MDD and depressive symptomatology in the coming years.
Collapse
Affiliation(s)
- J. Fernández-Alvarez
- Department of Psychology, Catholic University of the Sacred Heart, Milan, Italy
- Department of Basic Psychology, Clinic and Psychobiology, Universitat Jaume I, Castellón, Spain
| | - M. Grassi
- Department of Clinical Neurosciences, Hermanas Hospitalarias, Villa San Benedetto Menni Hospital, FoRiPsi, Albese con Cassano, Como, Italy
- Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy
| | - D. Colombo
- Department of Basic Psychology, Clinic and Psychobiology, Universitat Jaume I, Castellón, Spain
| | - C. Botella
- Ciber Fisiopatología Obesidad y Nutrición, CB06/03 Instituto Salud Carlos III, Madrid, Spain
| | - P. Cipresso
- Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy
- Department of Psychology, University of Turin, Turin, Italy
| | - G. Perna
- Department of Clinical Neurosciences, Hermanas Hospitalarias, Villa San Benedetto Menni Hospital, FoRiPsi, Albese con Cassano, Como, Italy
- Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA
- Research Institute of Mental Health and Neuroscience and Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, University of Maastricht, Maastricht, the Netherlands
| | - G. Riva
- Department of Psychology, Catholic University of the Sacred Heart, Milan, Italy
- Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy
| |
Collapse
|
12
|
Chen C, Xiao X, Belkacem AN, Lu L, Wang X, Yi W, Li P, Wang C, Sha S, Zhao X, Ming D. Efficacy Evaluation of Neurofeedback-Based Anxiety Relief. Front Neurosci 2021; 15:758068. [PMID: 34776855 PMCID: PMC8581142 DOI: 10.3389/fnins.2021.758068] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 09/22/2021] [Indexed: 01/02/2023] Open
Abstract
Anxiety disorder is a mental illness that involves extreme fear or worry, which can alter the balance of chemicals in the brain. This change and evaluation of anxiety state are accompanied by a comprehensive treatment procedure. It is well-known that the treatment of anxiety is chiefly based on psychotherapy and drug therapy, and there is no objective standard evaluation. In this paper, the proposed method focuses on examining neural changes to explore the effect of mindfulness regulation in accordance with neurofeedback in patients with anxiety. We designed a closed neurofeedback experiment that includes three stages to adjust the psychological state of the subjects. A total of 34 subjects, 17 with anxiety disorder and 17 healthy, participated in this experiment. Through the three stages of the experiment, electroencephalography (EEG) resting state signal and mindfulness-based EEG signal were recorded. Power spectral density was selected as the evaluation index through the regulation of neurofeedback mindfulness, and repeated analysis of variance (ANOVA) method was used for statistical analysis. The findings of this study reveal that the proposed method has a positive effect on both types of subjects. After mindfulness adjustment, the power map exhibited an upward trend. The increase in the average power of gamma wave indicates the relief of anxiety. The enhancement of the wave power represents an improvement in the subjects’ mindfulness ability. At the same time, the results of ANOVA showed that P < 0.05, i.e., the difference was significant. From the aspect of neurophysiological signals, we objectively evaluated the ability of our experiment to relieve anxiety. The neurofeedback mindfulness regulation can effect on the brain activity pattern of anxiety disorder patients.
Collapse
Affiliation(s)
- Chao Chen
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.,Key Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin, China
| | - Xiaolin Xiao
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Abdelkader Nasreddine Belkacem
- Department of Computer and Network Engineering, College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Lin Lu
- Zhonghuan Information College, Tianjin University of Technology, Tianjin, China
| | - Xin Wang
- Key Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin, China
| | - Weibo Yi
- Beijing Machine and Equipment Institute, Beijing, China
| | - Penghai Li
- Key Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin, China
| | - Changming Wang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.,Brain-Inspired Intelligence and Clinical Translational Research Center, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Sha Sha
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Xixi Zhao
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Dong Ming
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| |
Collapse
|
13
|
Pinheiro J, Simões de Almeida R, Marques A. Emotional self-regulation, virtual reality and neurofeedback. COMPUTERS IN HUMAN BEHAVIOR REPORTS 2021. [DOI: 10.1016/j.chbr.2021.100101] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
|
14
|
Pérez-Elvira R, Oltra-Cucarella J, Carrobles JA, Moltó J, Flórez M, Parra S, Agudo M, Saez C, Guarino S, Costea RM, Neamtu B. Enhancing the Effects of Neurofeedback Training: The Motivational Value of the Reinforcers. Brain Sci 2021; 11:brainsci11040457. [PMID: 33916676 PMCID: PMC8067059 DOI: 10.3390/brainsci11040457] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 04/01/2021] [Accepted: 04/02/2021] [Indexed: 11/16/2022] Open
Abstract
The brain activity that is measured by electroencephalography (EEG) can be modified through operant conditioning, specifically using neurofeedback (NF). NF has been applied to several disorders claiming that a change in the erratic brain activity would be accompanied by a reduction of the symptoms. However, the expected results are not always achieved. Some authors have suggested that the lack of an adequate response may be due to an incorrect application of the operant conditioning principles. A key factor in operant conditioning is the use of reinforcers and their value in modifying behavior, something that is not always sufficiently taken into account. This work aims to clarify the relevance of the motivational value versus the purely informational value of the reinforcer. In this study, 113 subjects were randomly assigned two different reinforcer conditions: a selected reinforcer—the subjects subjectively selected the reinforcers—or an imposed reinforcer—the reinforcers were assigned by the experimenter—and both groups undertook NF sessions to enhance the sensorimotor rhythm (SMR). In addition, the selected reinforcer group was divided into two subgroups: one receiving real NF and the other one sham NF. There were no significant differences between the groups at baseline in terms of SMR amplitude. After the intervention, only those subjects belonging to the selected reinforcer group and receiving real NF increased their SMR. Our results provide evidence for the importance of the motivational value of the reinforcer in Neurofeedback success.
Collapse
Affiliation(s)
- Rubén Pérez-Elvira
- Neuropsychophysiology Laboratory, NEPSA Rehabilitación Neurológica, 3003 Salamanca, Spain; (R.P.-E.); (M.A.); (C.S.)
| | - Javier Oltra-Cucarella
- Department of Health Psychology, Universidad Miguel Hernández de Elche, 03202 Elche, Spain
- Correspondence:
| | - José Antonio Carrobles
- Biological and Health Psychology Department, Universidad Autónoma de Madrid, 28049 Madrid, Spain;
| | - Jorge Moltó
- PSYD-Neurofeedback, 46022 Valencia, Spain; (J.M.); (M.F.)
| | | | | | - María Agudo
- Neuropsychophysiology Laboratory, NEPSA Rehabilitación Neurológica, 3003 Salamanca, Spain; (R.P.-E.); (M.A.); (C.S.)
| | - Clara Saez
- Neuropsychophysiology Laboratory, NEPSA Rehabilitación Neurológica, 3003 Salamanca, Spain; (R.P.-E.); (M.A.); (C.S.)
| | - Sergio Guarino
- NEPSA Rehabilitación Neurológica, 47001 Valladolid, Spain;
| | - Raluca Maria Costea
- Research Department (Ceforaten), Sibiu Pediatric Hospital, 550178 Sibiu, Romania; (R.M.C.); (B.N.)
- Faculty of Medicine Lucian Blaga, University from Sibiu, 550169 Sibiu, Romania
| | - Bogdan Neamtu
- Research Department (Ceforaten), Sibiu Pediatric Hospital, 550178 Sibiu, Romania; (R.M.C.); (B.N.)
- Faculty of Medicine Lucian Blaga, University from Sibiu, 550169 Sibiu, Romania
- Faculty of Engineering, Lucian Blaga, University from Sibiu, 550025 Sibiu, Romania
| |
Collapse
|
15
|
Trambaiolli LR, Kohl SH, Linden DEJ, Mehler DMA. Neurofeedback training in major depressive disorder: A systematic review of clinical efficacy, study quality and reporting practices. Neurosci Biobehav Rev 2021; 125:33-56. [PMID: 33587957 DOI: 10.1016/j.neubiorev.2021.02.015] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 02/05/2021] [Accepted: 02/06/2021] [Indexed: 12/28/2022]
Abstract
Major depressive disorder (MDD) is the leading cause of disability worldwide. Neurofeedback training has been suggested as a potential additional treatment option for MDD patients not reaching remission from standard care (i.e., psychopharmacology and psychotherapy). Here we systematically reviewed neurofeedback studies employing electroencephalography, or functional magnetic resonance-based protocols in depressive patients. Of 585 initially screened studies, 24 were included in our final sample (N = 480 patients in experimental and N = 194 in the control groups completing the primary endpoint). We evaluated the clinical efficacy across studies and attempted to group studies according to the control condition categories currently used in the field that affect clinical outcomes in group comparisons. In most studies, MDD patients showed symptom improvement superior to the control group(s). However, most articles did not comply with the most stringent study quality and reporting practices. We conclude with recommendations on best practices for experimental designs and reporting standards for neurofeedback training.
Collapse
Affiliation(s)
- Lucas R Trambaiolli
- Division of Basic Neuroscience, McLean Hospital, Harvard Medical School, Boston, USA.
| | - Simon H Kohl
- JARA Institute Molecular Neuroscience and Neuroimaging (INM-11), Jülich Research Centre, Germany; Department of Child and Adolescent Psychiatry, Medical Faculty, RWTH Aachen University, Germany
| | - David E J Linden
- School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, the Netherlands
| | | |
Collapse
|
16
|
The Current Evidence Levels for Biofeedback and Neurofeedback Interventions in Treating Depression: A Narrative Review. Neural Plast 2021; 2021:8878857. [PMID: 33613671 PMCID: PMC7878101 DOI: 10.1155/2021/8878857] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Revised: 12/28/2020] [Accepted: 01/25/2021] [Indexed: 12/22/2022] Open
Abstract
This article is aimed at showing the current level of evidence for the usage of biofeedback and neurofeedback to treat depression along with a detailed review of the studies in the field and a discussion of rationale for utilizing each protocol. La Vaque et al. criteria endorsed by the Association for Applied Psychophysiology and Biofeedback and International Society for Neuroregulation & Research were accepted as a means of study evaluation. Heart rate variability (HRV) biofeedback was found to be moderately supportable as a treatment of MDD while outcome measure was a subjective questionnaire like Beck Depression Inventory (level 3/5, “probably efficacious”). Electroencephalographic (EEG) neurofeedback protocols, namely, alpha-theta, alpha, and sensorimotor rhythm upregulation, all qualify for level 2/5, “possibly efficacious.” Frontal alpha asymmetry protocol also received limited evidence of effect in depression (level 2/5, “possibly efficacious”). Finally, the two most influential real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback protocols targeting the amygdala and the frontal cortices both demonstrate some effectiveness, though lack replications (level 2/5, “possibly efficacious”). Thus, neurofeedback specifically targeting depression is moderately supported by existing studies (all fit level 2/5, “possibly efficacious”). The greatest complication preventing certain protocols from reaching higher evidence levels is a relatively high number of uncontrolled studies and an absence of accurate replications arising from the heterogeneity in protocol details, course lengths, measures of improvement, control conditions, and sample characteristics.
Collapse
|
17
|
Campbell AM, Mattoni M, Yefimov MN, Adapa K, Mazur LM. Improving Cognitive Workload in Radiation Therapists: A Pilot EEG Neurofeedback Study. Front Psychol 2020; 11:571739. [PMID: 33343449 PMCID: PMC7744691 DOI: 10.3389/fpsyg.2020.571739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 10/28/2020] [Indexed: 11/25/2022] Open
Abstract
Radiation therapy therapists (RTTs) face challenging daily tasks that leave them prone to high attrition and burnout and subsequent deficits in performance. Here, we employed an accelerated alpha-theta neurofeedback (NF) protocol that is implementable in a busy medical workplace to test if 12 RTTs could learn the protocol and exhibit behavior and brain performance-related benefits. Following the 3-week protocol, participants showed a decrease in subjective cognitive workload and a decrease in response time during a performance task, as well as a decrease in desynchrony of the alpha electroencephalogram (EEG) band. Additionally, novel microstate analysis for neurofeedback showed a significant decrease in global field power (GFP) following neurofeedback. These results suggest that the RTTs successfully learned the protocol and improved in perceived cognitive workload following 3 weeks of neurofeedback. In sum, this study presents promising behavioral improvements as well as brain performance-related evidence of neurophysiological changes following neurofeedback, supporting the feasibility of implementing neurofeedback in a busy workplace and encouraging the further study of neurofeedback as a tool to mitigate burnout.
Collapse
Affiliation(s)
- Alana M Campbell
- Department of Psychiatry, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Matthew Mattoni
- Department of Radiation Oncology, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Mae Nicopolis Yefimov
- Department of Psychiatry, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Karthik Adapa
- Department of Radiation Oncology, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Lukasz M Mazur
- Department of Radiation Oncology, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| |
Collapse
|
18
|
Uhlmann C, Flammer E, Jaeger S, Schmid P. Review zur Wirksamkeit von Biofeedback und Neurofeedback bei Depression. VERHALTENSTHERAPIE 2020. [DOI: 10.1159/000510477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
<b><i>Hintergrund:</i></b> Biofeedbackverfahren haben sich für unterschiedliche psychische und somatische Erkrankungen als wirksam erwiesen. Für depressive Störungen als weitverbreitetes Störungsbild liegen mittlerweile zwar mehrere Studienergebnisse vor, die Bewertung der wissenschaftlichen Evidenz ist jedoch weiterhin ausstehend. <b><i>Material und Methoden:</i></b> Eine systematische Literaturrecherche wurde in den Datenbanken PubMed, PsycINFO und CINAHL mit den Begriffen “Neurofeedback” oder “Biofeedback” und “Depression” durchgeführt. Von den insgesamt 971 identifizierten Publikationen gingen nach Durchsicht 12 in die Arbeit ein. <b><i>Ergebnisse:</i></b> Die Effektstärken lagen für den Vergleich Prä- versus Post-Intervention bei einer Range von 0,31 bis 4,08 und für den Vergleich zwischen Biofeedback und Kontrollgruppe bei –0,77 bis 2,38 für beide Arten des angewendeten Feedbacktrainings: Neurofeedback und Feedback der Herzratenvariabilität. Beinhalteten Kontrollinterventionen Entspannungstechniken oder Placebo-Feedback, zeigten sich auch hier überraschend gute Ergebnisse. <b><i>Diskussion:</i></b> Die Aussagekraft der Ergebnisse wird gemindert durch meist kleine Stichproben, nur wenige Katamnesedaten und vor dem Hintergrund von nur drei Studien mit festgestellt geringem Verzerrungsrisiko. Dies in die Interpretation einbezogen, sind die Studienergebnisse jedoch immer noch beachtlich gut. <b><i>Schlussfolgerungen:</i></b> Symptomverbesserungen mit teilweise hohen Effektstärken zeigen, dass Biofeedbackverfahren für die Behandlung von depressiven Störungen eventuell geeignete Methoden sind. Unspezifische Wirkfaktoren wie Entspannungs- und Erwartungseffekte gilt es unbedingt zu berücksichtigen. Eine vielversprechende Perspektive könnte die Kombination aus verhaltenstherapeutischem Ansatz und Feedbacktraining sein.
Collapse
|
19
|
Abstract
PURPOSE To determine whether the fear response is the same in AN as in controls. METHOD We recorded the EEG in 10 participants with a history of AN and in 10 controls during a fear stimulus. The response of the brain was recorded using EEG LORETA. The recording was analyzed for a marked increase in activity in the amygdala, uncus, insula, and anterior cingulate from 300 to 500 ms following the stimulus. RESULTS The order or response of the amygdala, uncus, insula, and anterior cingulate was not significantly different in AN and controls. CONCLUSION These results suggest that the brain's response to a fear stimulus is not significantly different in AN and controls. LEVEL OF EVIDENCE Level 3, case-control study.
Collapse
Affiliation(s)
- C Laird Birmingham
- Department of Psychiatry, University of British Columbia, Suite 212, 2628 Granville Street, Vancouver, BC, V6H 4B4, Canada.
| | - Shelley Sidhu
- Department of Psychiatry, University of British Columbia, Suite 212, 2628 Granville Street, Vancouver, BC, V6H 4B4, Canada
| | - John Anderson
- Minnesota Neurotherapy Institute, Suite 221, 5871 Cedar Lake Rd S, Saint Louis Park, MN, 55416, USA
| |
Collapse
|
20
|
Białkowska J, Mroczkowska D, Huflejt ME, Wojtkiewicz J, Siwek T, Barczewska M, Maksymowicz W. COMPLEX TREATMENT OF AMYOTROPHIC LATERAL SCLEROSIS PATIENT. Acta Clin Croat 2019; 58:757-766. [PMID: 32595261 PMCID: PMC7314291 DOI: 10.20471/acc.2019.58.04.24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Amyotrophic lateral sclerosis is a progressive and fatal degenerative neuromuscular disease with few if any treatment options and physical rehabilitation addressing specific deficits is the most frequent form of therapy. Patients also suffer from depression and increased anxiety. Our purpose was to assess the neurorehabilitation effectiveness in a patient with amyotrophic lateral sclerosis who underwent stem cell transplantation but refused physiotherapy due to depression. Disease progression was followed using the revised Amyotrophic Lateral Sclerosis Functional Rating Scale bimonthly for six months pre- and then post-stem cell transplantation. Psychological traits were assessed using six standardized tests. Quantitative electroencephalogram diagnostics was performed before the first and after the last neurofeedback session, and sessions were conducted on a 3-times-a-week basis. The physiotherapy protocol included proprioceptive neuromuscular facilitation, electrical modalities unit applied to the lumbar spine area, and breathing, relaxation and walking exercises, among others. Increased motivation and marked decrease in the pain level was associated with the patient's willingness to complete physiotherapy, which resulted in improvements in most neuromuscular deficits and in increased respiratory capacity. During the 12 post-rehabilitation months, progression of the disease decelerated, and a positive behavioral change was noted. The study suggested that neurofeedback could be used as a neurorehabilitation component of the personalized complex rehabilitation protocol in patients with amyotrophic lateral sclerosis.
Collapse
Affiliation(s)
| | - Dorota Mroczkowska
- 1Department of Public Health, Faculty of Health Sciences, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland; 2Clinical University Hospital, Olsztyn, Poland; 3Department of Pathophysiology, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland; 4Department of Neurology and Neurosurgery, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland
| | - Margaret E Huflejt
- 1Department of Public Health, Faculty of Health Sciences, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland; 2Clinical University Hospital, Olsztyn, Poland; 3Department of Pathophysiology, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland; 4Department of Neurology and Neurosurgery, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland
| | - Joanna Wojtkiewicz
- 1Department of Public Health, Faculty of Health Sciences, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland; 2Clinical University Hospital, Olsztyn, Poland; 3Department of Pathophysiology, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland; 4Department of Neurology and Neurosurgery, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland
| | - Tomasz Siwek
- 1Department of Public Health, Faculty of Health Sciences, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland; 2Clinical University Hospital, Olsztyn, Poland; 3Department of Pathophysiology, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland; 4Department of Neurology and Neurosurgery, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland
| | - Monika Barczewska
- 1Department of Public Health, Faculty of Health Sciences, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland; 2Clinical University Hospital, Olsztyn, Poland; 3Department of Pathophysiology, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland; 4Department of Neurology and Neurosurgery, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland
| | - Wojciech Maksymowicz
- 1Department of Public Health, Faculty of Health Sciences, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland; 2Clinical University Hospital, Olsztyn, Poland; 3Department of Pathophysiology, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland; 4Department of Neurology and Neurosurgery, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland
| |
Collapse
|
21
|
Lee YJ, Lee GW, Seo WS, Koo BH, Kim HG, Cheon EJ. Neurofeedback Treatment on Depressive Symptoms and Functional Recovery in Treatment-Resistant Patients with Major Depressive Disorder: an Open-Label Pilot Study. J Korean Med Sci 2019; 34:e287. [PMID: 31674161 PMCID: PMC6823520 DOI: 10.3346/jkms.2019.34.e287] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 09/08/2019] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND We evaluated the effects of neurofeedback as an augmentation treatment on depressive symptoms and functional recovery in patients with treatment-resistant depression (TRD). METHODS We included 24 adult patients with TRD and 12 healthy adults. 24 TRD patients were assigned to the neurofeedback augmentation group (n = 12) and the medication-only (treatment as usual [TAU]) group (n = 12). The neurofeedback augmentation group underwent combined therapy comprising medication and 12-24 sessions of neurofeedback training for 12 weeks. To assess the serum levels of brain-derived neurotrophic factor (BDNF) in both groups, pre- and post-treatment blood samples were obtained. Patients were evaluated using the Hamilton Depression Rating Scale (HAM-D), Beck Depression Inventory (BDI), Clinical Global Impression-Severity (CGI-S), 5-level version of European Quality of Life Questionnaire 5-Dimensional Classification (EQ-5D-5L), and Sheehan Disability Scale (SDS) at baseline, and at the 1-, 4-, and 12-week. RESULTS From baseline to week 12, neurofeedback training reduced mean scores on HAM-D, BDI-II, CGI-S, and SDS, and increased mean EQ-5D-5L tariff score. In the neurofeedback augmentation group, the response and remission rates were 58.3% and 50.0%, respectively, at week 12. Changes in HAM-D, EQ-5D-5L tariff score, and SDS were significantly larger in the neurofeedback group than in the medication-only (TAU) group. No significant difference in BDNF level was found pre- vs. post-treatment in any of the groups. CONCLUSION Despite the small sample size, these results suggest that neurofeedback treatment may be effective as an augmentation treatment, not only for depressive symptoms, but also for functional recovery, in patients with TRD. TRIAL REGISTRATION Clinical Research Information Service Identifier: KCT0004183 ClinicalTrials.gov Identifier: NCT04078438.
Collapse
Affiliation(s)
- Young Ji Lee
- Department of Psychiatry, Gyeongsang National University Changwon Hospital, Changwon, Korea
| | - Ga Won Lee
- Heemang Psychiatric Clinic, Suwon, Korea
| | - Wan Seok Seo
- Department of Psychiatry, Yeungnam University College of Medicine, Daegu, Korea
| | - Bon Hoon Koo
- Department of Psychiatry, Yeungnam University College of Medicine, Daegu, Korea
| | - Hye Geum Kim
- Department of Psychiatry, Yeungnam University College of Medicine, Daegu, Korea
| | - Eun Jin Cheon
- Department of Psychiatry, Yeungnam University College of Medicine, Daegu, Korea.
| |
Collapse
|
22
|
Wang SY, Lin IM, Fan SY, Tsai YC, Yen CF, Yeh YC, Huang MF, Lee Y, Chiu NM, Hung CF, Wang PW, Liu TL, Lin HC. The effects of alpha asymmetry and high-beta down-training neurofeedback for patients with the major depressive disorder and anxiety symptoms. J Affect Disord 2019; 257:287-296. [PMID: 31302517 DOI: 10.1016/j.jad.2019.07.026] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 06/05/2019] [Accepted: 07/04/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND Alpha-asymmetry neurofeedback (ALAY) was applied to patients with major depressive disorder (MDD) based on the theory of frontal alpha asymmetry. Neurophysiological studies have found a higher high-beta activity of electroencephalography (EEG) at the posterior cortex among patients with comorbid MDD and anxiety symptoms. The present study examined the effects of ALAY and high-beta down-training (Beta) neurofeedback in symptoms of depression and anxiety and EEG parameters. METHOD Eighty-seven patients with comorbid MDD and anxiety symptoms were allocated to the ALAY, Beta, or control groups. Both neurofeedback groups received ten-session neurofeedback. All participants completed the Beck Depression Inventory II (BDI-II), Beck Anxiety Inventory (BAI), and five minutes resting EEG recording at pre-test and post-test. EEG raw signals were transformed into an A1 score [log (F4 alpha) - log (F3 alpha)], P3 and P4 high-beta power. RESULTS BDI-II and BAI scores decreased at post-test in both ALAY and Beta groups, but no significant difference between the two groups. No significant interaction effect in A1 score at pre-test and post-test between the ALAY, Beta, and control groups. The P3 high-beta was significantly decreased in the Beta group, an increase in the control group, and no change in the ALAY group at post-test compared to the pre-test. CONCLUSIONS Both neurofeedback groups decreased symptoms of depression and anxiety. The Beta group was more effective in decreasing high-beta power at the parietal cortex compared to other groups. This non-invasive psychological intervention can be used in the future for patients with comorbid MDD and anxiety symptoms.
Collapse
Affiliation(s)
- San-Yu Wang
- Department of Psychology, College of Humanities and Social Sciences, Kaohsiung Medical University, Taiwan
| | - I-Mei Lin
- Department of Psychology, College of Humanities and Social Sciences, Kaohsiung Medical University, Taiwan; Pervasive Artificial Intelligence Research (PAIR) Labs, Taiwan; Department of Medical Research, Kaohsiung Medical University Hospital, Taiwan.
| | - Sheng-Yu Fan
- Institute of Gerontology, College of Medicine, National Cheng Kung University, Taiwan
| | - Yu-Che Tsai
- Department of Psychology, College of Humanities and Social Sciences, Kaohsiung Medical University, Taiwan
| | - Cheng-Fang Yen
- Department of Psychiatry, Kaohsiung Medical University Hospital, Taiwan; Graduate Institute of Medicine, and Department of Psychiatry, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yi-Chun Yeh
- Department of Psychiatry, Kaohsiung Medical University Hospital, Taiwan; Graduate Institute of Medicine, and Department of Psychiatry, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Mei-Feng Huang
- Department of Psychiatry, Kaohsiung Medical University Hospital, Taiwan; Graduate Institute of Medicine, and Department of Psychiatry, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yu Lee
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Nien-Mu Chiu
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Chi-Fa Hung
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Peng-Wei Wang
- Department of Psychiatry, Kaohsiung Medical University Hospital, Taiwan; Graduate Institute of Medicine, and Department of Psychiatry, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Tai-Ling Liu
- Department of Psychiatry, Kaohsiung Medical University Hospital, Taiwan; Graduate Institute of Medicine, and Department of Psychiatry, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Huang-Chi Lin
- Department of Psychiatry, Kaohsiung Medical University Hospital, Taiwan; Graduate Institute of Medicine, and Department of Psychiatry, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| |
Collapse
|
23
|
Harris S, Hundley G, Lambie G. The Effects of Neurofeedback on Depression, Anxiety, and Academic Self-Efficacy. JOURNAL OF COLLEGE STUDENT PSYCHOTHERAPY 2019. [DOI: 10.1080/87568225.2019.1606689] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Shaywanna Harris
- Department of Counselor Education & School Psychology, University of Central Florida, Orlando, USA
| | - Gulnora Hundley
- Department of Counselor Education & School Psychology, University of Central Florida, Orlando, USA
| | - Glenn Lambie
- Department of Counselor Education & School Psychology, University of Central Florida, Orlando, USA
| |
Collapse
|
24
|
EEG neurofeedback research: A fertile ground for psychiatry? Encephale 2019; 45:245-255. [PMID: 30885442 DOI: 10.1016/j.encep.2019.02.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 02/02/2019] [Accepted: 02/11/2019] [Indexed: 11/20/2022]
Abstract
The clinical efficacy of neurofeedback is still a matter of debate. This paper analyzes the factors that should be taken into account in a transdisciplinary approach to evaluate the use of EEG NFB as a therapeutic tool in psychiatry. Neurofeedback is a neurocognitive therapy based on human-computer interaction that enables subjects to train voluntarily and modify functional biomarkers that are related to a defined mental disorder. We investigate three kinds of factors related to this definition of neurofeedback. We focus this article on EEG NFB. The first part of the paper investigates neurophysiological factors underlying the brain mechanisms driving NFB training and learning to modify a functional biomarker voluntarily. Two kinds of neuroplasticity involved in neurofeedback are analyzed: Hebbian neuroplasticity, i.e. long-term modification of neural membrane excitability and/or synaptic potentiation, and homeostatic neuroplasticity, i.e. homeostasis attempts to stabilize network activity. The second part investigates psychophysiological factors related to the targeted biomarker. It is demonstrated that neurofeedback involves clearly defining which kind of relationship between EEG biomarkers and clinical dimensions (symptoms or cognitive processes) is to be targeted. A nomenclature of accurate EEG biomarkers is proposed in the form of a short EEG encyclopedia (EEGcopia). The third part investigates human-computer interaction factors for optimizing NFB training and learning during the closed loop interaction. A model is proposed to summarize the different features that should be controlled to optimize learning. The need for accurate and reliable metrics of training and learning in line with human-computer interaction is also emphasized, including targeted biomarkers and neuroplasticity. All these factors related to neurofeedback show that it can be considered as a fertile ground for innovative research in psychiatry.
Collapse
|
25
|
Targeting the affective brain-a randomized controlled trial of real-time fMRI neurofeedback in patients with depression. Neuropsychopharmacology 2018; 43:2578-2585. [PMID: 29967368 PMCID: PMC6186421 DOI: 10.1038/s41386-018-0126-5] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Revised: 05/14/2018] [Accepted: 06/12/2018] [Indexed: 12/28/2022]
Abstract
Functional magnetic resonance imaging neurofeedback (fMRI-NF) training of areas involved in emotion processing can reduce depressive symptoms by over 40% on the Hamilton Depression Rating Scale (HDRS). However, it remains unclear if this efficacy is specific to feedback from emotion-regulating regions. We tested in a single-blind, randomized, controlled trial if upregulation of emotion areas (NFE) yields superior efficacy compared to upregulation of a control region activated by visual scenes (NFS). Forty-three moderately to severely depressed medicated patients were randomly assigned to five sessions augmentation treatment of either NFE or NFS training. At primary outcome (week 12) no significant group mean HDRS difference was found (B = -0.415 [95% CI -4.847 to 4.016], p = 0.848) for the 32 completers (16 per group). However, across groups depressive symptoms decreased by 43%, and 38% of patients remitted. These improvements lasted until follow-up (week 18). Both groups upregulated target regions to a similar extent. Further, clinical improvement was correlated with an increase in self-efficacy scores. However, the interpretation of clinical improvements remains limited due to lack of a sham-control group. We thus surveyed effects reported for accepted augmentation therapies in depression. Data indicated that our findings exceed expected regression to the mean and placebo effects that have been reported for drug trials and other sham-controlled high-technology interventions. Taken together, we suggest that the experience of successful self-regulation during fMRI-NF training may be therapeutic. We conclude that if fMRI-NF is effective for depression, self-regulation training of higher visual areas may provide an effective alternative.
Collapse
|
26
|
Aliño Costa M, Gadea M, Hidalgo V, Pérez V, Sanjuán J. AN EFFECTIVE NEUROFEEDBACK TRAINING, WITH CORTISOL CORRELATES, IN A CLINICAL CASE OF ANXIETY. UNIVERSITAS PSYCHOLOGICA 2017. [DOI: 10.11144/javeriana.upsy15-5.entc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Background and objectives: Neurofeedback treatments have shown successful results in anxiety disorders. Thus, the effectiveness of a beta1 Neurofeedback protocol was tested in a longitudinal clinical case study. Design and methods: A participant suffering from an anxiety syndrome was treated with 10 sessions of Neurofeedback, which protocol consisted in uptraining beta1 rhythm (16-21 Hz) while downtraining theta (4-8 Hz) band. For each of the 10 sessions the state anxiety and salivary cortisol levels were measured in a pre/post design. Initial and final examinations of anxiety symptoms and sustained attention performance were taken in addition.
Results: The final evaluation showed that levels of anxiety fell within normative range and sustained attention improved. A t-test for related samples disclosed a significant improvement of beta1 amplitude across sessions, without modifications in untrained bands. A significant inverse correlation between beta1 amplitude and salivary cortisol appeared, suggesting that brain activity could be considered a marker of anxiety. The validation of the beta1 Neurofeedback protocol was assessed by independence, trainability and interpretability criteria. Conclusions: We showed an effective Neurofeedback protocol on anxiety and sustained attention, the success of which could consist on the reestablishment of an optimal cortical arousal capable of inhibiting the elevated amygdalar activity. (English)
Collapse
|