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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.
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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.
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2
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Russo GM, Smith S, Sperandio KR. A meta‐analysis of neurofeedback for treating substance use disorders. JOURNAL OF COUNSELING AND DEVELOPMENT 2023. [DOI: 10.1002/jcad.12466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Affiliation(s)
- G. Michael Russo
- Department of Educational Psychology University of Oklahoma Norman USA
| | - Samantha Smith
- Department of Counselor Education Boise State University Boise United States
| | - Katharine R. Sperandio
- Department of Educational Leadership and Counseling Saint Joseph's University Philadelphia Pennsylvania USA
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Dehghani A, Soltanian-Zadeh H, Hossein-Zadeh GA. Probing fMRI brain connectivity and activity changes during emotion regulation by EEG neurofeedback. Front Hum Neurosci 2023; 16:988890. [PMID: 36684847 PMCID: PMC9853008 DOI: 10.3389/fnhum.2022.988890] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 12/13/2022] [Indexed: 01/09/2023] Open
Abstract
Despite the existence of several emotion regulation studies using neurofeedback, interactions among a small number of regions were evaluated, and therefore, further investigation is needed to understand the interactions of the brain regions involved in emotion regulation. We implemented electroencephalography (EEG) neurofeedback with simultaneous functional magnetic resonance imaging (fMRI) using a modified happiness-inducing task through autobiographical memories to upregulate positive emotion. Then, an explorative analysis of whole brain regions was done to understand the effect of neurofeedback on brain activity and the interaction of whole brain regions involved in emotion regulation. The participants in the control and experimental groups were asked to do emotion regulation while viewing positive images of autobiographical memories and getting sham or real (based on alpha asymmetry) EEG neurofeedback, respectively. The proposed multimodal approach quantified the effects of EEG neurofeedback in changing EEG alpha power, fMRI blood oxygenation level-dependent (BOLD) activity of prefrontal, occipital, parietal, and limbic regions (up to 1.9% increase), and functional connectivity in/between prefrontal, parietal, limbic system, and insula in the experimental group. New connectivity links were identified by comparing the brain functional connectivity between experimental conditions (Upregulation and View blocks) and also by comparing the brain connectivity of the experimental and control groups. Psychometric assessments confirmed significant changes in positive and negative mood states in the experimental group by neurofeedback. Based on the exploratory analysis of activity and connectivity among all brain regions involved in emotion regions, we found significant BOLD and functional connectivity increases due to EEG neurofeedback in the experimental group, but no learning effect was observed in the control group. The results reveal several new connections among brain regions as a result of EEG neurofeedback which can be justified according to emotion regulation models and the role of those regions in emotion regulation and recalling positive autobiographical memories.
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Affiliation(s)
- Amin Dehghani
- School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran,Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States,*Correspondence: Amin Dehghani, ,
| | - Hamid Soltanian-Zadeh
- School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran,Medical Image Analysis Lab, Department of Radiology and Research Administration, Henry Ford Health System, Detroit, MI, United States,School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
| | - Gholam-Ali Hossein-Zadeh
- School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran,School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
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Dave F, Tripathi R. The efficacy of neurofeedback for alcohol use disorders - a systematic review. World J Biol Psychiatry 2022:1-12. [PMID: 36416049 DOI: 10.1080/15622975.2022.2151043] [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] [Indexed: 11/24/2022]
Abstract
BACKGROUND Alcoholism is a serious social, economic and public health problem. Alcoholism can affect the gastrointestinal, neurological, cardiovascular and respiratory systems, and it can be fatal, costing the healthcare system huge amounts of money. Despite the availability of cognitive-behavioural and psychosocial therapies, alcoholism has a high recurrence rate and a dismal prognosis, with a wide inter-individual variation. As a result, better or adjuvant therapies that improve or facilitate alcoholism therapy are required. We conducted a systematic review to look into the published studies that reported the effectiveness of non-pharmacological neurofeedback (NF) interventions in patients with alcohol use disorders (AUDs). METHODS PubMed, Google Scholar, The Cochrane Library, Science Direct and Clinicaltrial.gov were searched until 4 April 2022. Original articles of any design reporting on the use of NF approaches in the treatment of AUDs were included. Information related to study design, participants, control group, neuromodulation therapy, number of sessions and key findings of the study were extracted. The Joanna Briggs Institute's (JBI) Critical Appraisal Checklist for Studies was used to assess the quality of studies. RESULTS A total of 20 research articles (including 618 participants) were retrieved and included for qualitative analysis. The sample size ranged from 1 (case report) to 80, with years of publication ranging from 1977 to 2022. Nine of the 20 articles included in the study were conducted in the United States, followed by Germany, the United Kingdom, India, the Netherlands and South Korea. Out of the 20 studies included, 8 (40%) had a moderate risk of bias, while the other, i.e. 60% had a low risk of bias. The effectiveness of various neurological treatments in the treatment of AUDs was established in these 20 studies. There have been 11 studies on EEG NF training, three studies on real-time FMRI NF, two studies each on transcranial direct current stimulation (tDCS) and transcranial magnetic stimulation (TMS), and one study each on deep brain stimulation (DBS) and theta burst stimulation (TBS). These alternative neurological therapies have been demonstrated to lower alcohol cravings and consumption temporarily, reduce anxiety and depression scores, reduce relapse rates and increase control of brain activity. CONCLUSIONS The use of various neuromodulation approaches to the treatment of AUD shows promise. However, more research with larger sample size is required.
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Affiliation(s)
- Forum Dave
- School of Behavioural Science, National Forensic Sciences University, Ganhinagar, India
| | - Ravikesh Tripathi
- School of Behavioural Science, National Forensic Sciences University, Ganhinagar, India
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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: 19] [Impact Index Per Article: 9.5] [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.
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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
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Lima KHM, Gomes JS, Tucci AM. Electroencephalographic neurofeedback as a tool for reducing harm and risk associated with alcohol use disorder: A critical review. Drug Alcohol Rev 2021; 41:594-602. [PMID: 34580941 DOI: 10.1111/dar.13387] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 08/26/2021] [Accepted: 09/01/2021] [Indexed: 11/28/2022]
Abstract
ISSUES Alcohol use disorder (AUD) causes the highest harms around the world. Many people use alcohol to reduce stress and anxiety, considered as risk factors for AUD. Chronic alcohol use leads to changes in the reward system and the high level of stress may exacerbate neuroendocrine responses. Electroencephalographic (EEG) neurofeedback shows reduction of stress, anxiety and alcohol abuse and it could be an important tool for reducing harm and risk associated with AUD. The aim of this paper is to review the studies that investigated the effects of EEG neurofeedback in subjects with AUD and it proposes to discuss this intervention as a tool for reducing harm and risk in AUD. APPROACH Medline, PsycINFO and LILACS databases were searched and appropriated terms were used. Inclusion criterion was adopted. The year of publication was not limited because of the scarce number of studies. Eighty-two papers returned and eight were included. A critical review was conducted. KEY FINDINGS Most of the papers analysed used the alpha/theta protocol to reduce the 'hyperexcitation' of the nervous system. This protocol provides relaxation, decreases anxiety or stress, prevents alcohol relapse, maintains abstinence and increases the feeling of well-being. IMPLICATIONS EEG neurofeedback has important effects on AUD and anxiety or stress. Studies reinforce the use of EEG neurofeedback as an alternative tool for reducing harm and risk in AUD. CONCLUSION EEG neurofeedback is an intervention to treat AUD, specifically, to reduce harm and risk. However, more randomised studies are necessary to consolidate the effectiveness of the technique.
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Affiliation(s)
| | - July Silveira Gomes
- Interdisciplinary Laboratory of Clinical Neurosciences, Federal University of Sao Paulo, Sao Paulo, Brazil
| | - Adriana Marcassa Tucci
- Interdisciplinary Program in Health Sciences, Department of Health, Education and Society, Federal University of Sao Paulo, Sao Paulo, Brazil
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Paul P, Bennett CN. Review of Neuropsychological and Electrophysiological Correlates of Callous-unemotional Traits in Children: Implications for EEG Neurofeedback Intervention. Clin EEG Neurosci 2021; 52:321-329. [PMID: 33709806 DOI: 10.1177/1550059421997129] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Conduct disorder is a significant psychiatric disorder of childhood and adolescence. The Diagnostic and Statistical Manual of Mental Disorders, fifth version (DSM-5), added the limited prosocial specifier to identify those individuals who exhibit a more severe pattern of behavior characterized by a callous and unemotional (CU) interpersonal style across multiple settings and relationships. This review has attempted to summarize the relevant research focusing on the significance of CU interpersonal style in the development of psychopathy. The primary focus was on the electrophysiological and neuropsychological correlates of CU traits and their implication on the treatment protocol using neurofeedback training for children with such traits. The source of the literature search was PubMed, which majorly uses the MEDLINE database. The keywords used included CU traits, conduct disorder, child psychopathy, empathy, electrophysiology, criminal behavior, neuropsychology, neurofeedback training, and so on. Studies from the last 15 years were considered for the review. This review revealed that children with conduct disorder and high-CU traits with a combination of reactive and proactive aggression are more likely to develop psychopathy. Evidence suggests that these children have distinct forms of electrophysiological and neuropsychological correlates. However, research in this area is still not conclusive as they yield variation in findings. Studies on the efficacy of neurofeedback training on reducing symptoms such as impulsivity, hostility, and psychopathy indicate that neurofeedback training can be a promising treatment alternative for children with severe conduct disorder.
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8
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Dousset C, Kajosch H, Ingels A, Schröder E, Kornreich C, Campanella S. Preventing relapse in alcohol disorder with EEG-neurofeedback as a neuromodulation technique: A review and new insights regarding its application. Addict Behav 2020; 106:106391. [PMID: 32197211 DOI: 10.1016/j.addbeh.2020.106391] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 01/22/2020] [Accepted: 03/09/2020] [Indexed: 02/07/2023]
Abstract
Alcohol Use Disorder (AUD) has a disconcertingly high relapse rate (70-80% within a year following withdrawal). Preventing relapse or minimizing its extent is hence a challenging goal for long-term successful management of AUD. New perspectives that rely on diverse neuromodulation tools have been developed in this regard as care supports. This paper focuses on electroencephalogram-neurofeedback (EEG-NF), which is a tool that has experienced renewed interest in both clinical and research areas. We review the literature on EEG-based neurofeedback studies investigating the efficacy in AUD and including at least 10 neurofeedback training sessions. As neurofeedback is a form of biofeedback in which a measure of brain activity is provided as feedback in real-time to a subject, the high degree of temporal resolution of the EEG interface supports optimal learning. By offering a wide range of brain oscillation targets (alpha, beta, theta, delta, gamma, and SMR) the EEG-NF procedure increases the scope of possible investigations through a multitude of experimental protocols that can be considered to reinforce or inhibit specific forms of EEG activity associated with AUD-related cognitive impairments. The present review provides an overview of the EEG-NF protocols that have been used in AUD and it highlights the current paucity of robust evidence. Within this framework, this review presents the arguments in favor of the application of EEG-NF as an add-on tool in the management of alcohol disorders to enhance the cognitive abilities required to maintain abstinence more specifically, with a focus on inhibition and attentional skills.
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Thilagaraj M, Pallikonda Rajasekaran M. An empirical mode decomposition (EMD)-based scheme for alcoholism identification. Pattern Recognit Lett 2019. [DOI: 10.1016/j.patrec.2019.03.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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10
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Efficacy of Invasive and Non-Invasive Brain Modulation Interventions for Addiction. Neuropsychol Rev 2018; 29:116-138. [PMID: 30536145 PMCID: PMC6499746 DOI: 10.1007/s11065-018-9393-5] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Accepted: 11/08/2018] [Indexed: 12/14/2022]
Abstract
It is important to find new treatments for addiction due to high relapse rates despite current interventions and due to expansion of the field with non-substance related addictive behaviors. Neuromodulation may provide a new type of treatment for addiction since it can directly target abnormalities in neurocircuits. We review literature on five neuromodulation techniques investigated for efficacy in substance related and behavioral addictions: transcranial direct current stimulation (tDCS), (repetitive) transcranial magnetic stimulation (rTMS), EEG, fMRI neurofeedback and deep brain stimulation (DBS) and additionally report on effects of these interventions on addiction-related cognitive processes. While rTMS and tDCS, mostly applied at the dorsolateral prefrontal cortex, show reductions in immediate craving for various addictive substances, placebo-responses are high and long-term outcomes are understudied. The lack in well-designed EEG-neurofeedback studies despite decades of investigation impedes conclusions about its efficacy. Studies investigating fMRI neurofeedback are new and show initial promising effects on craving, but future trials are needed to investigate long-term and behavioral effects. Case studies report prolonged abstinence of opioids or alcohol with ventral striatal DBS but difficulties with patient inclusion may hinder larger, controlled trials. DBS in neuropsychiatric patients modulates brain circuits involved in reward processing, extinction and negative-reinforcement that are also relevant for addiction. To establish the potential of neuromodulation for addiction, more randomized controlled trials are needed that also investigate treatment duration required for long-term abstinence and potential synergy with other addiction interventions. Finally, future advancement may be expected from tailoring neuromodulation techniques to specific patient (neurocognitive) profiles.
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Ko S, Park W. Effects of quantitative electroencephalography based neurofeedback training on autonomous regulations in patients with alcohol use disorder. Asian Nurs Res (Korean Soc Nurs Sci) 2018; 12:S1976-1317(18)30042-2. [PMID: 29870808 DOI: 10.1016/j.anr.2018.05.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 05/28/2018] [Accepted: 05/29/2018] [Indexed: 12/14/2022] Open
Abstract
PURPOSE The study investigated whether neurofeedback training can normalize the excessive high-beta and low alpha waves indicative of hyperarousal, and subsequently improve autonomous regulation based on the self-determination theory in alcohol use disorders. METHODS A nonequivalent control group pretest-posttest design was used. Data were collected using self-report questionnaires from 36 Korean inpatients who met the Alcohol Use Disorder Identification Test in Korea criteria. Data were collected from quantitative electroencephalography to assess alpha (8-12 Hz) and high-beta (21-30 Hz) waves for hyperarousal. The questionnaires included Basic Psychological Need Satisfaction scales that assessed autonomy, competence, and relatedness, and the Alcohol Abstinence Self-Efficacy Scale and Treatment Self-Regulation Questionnaire. The experimental group underwent 10 sessions of neurofeedback training over four weeks. Data were analyzed using the chi-squared, Mann-Whitney U, and Wilcoxon signed-rank tests. RESULTS In the experimental group, the alpha wave was increased in 15 of 19 sites and high-beta waves were decreased in 15 of 19 sites, but this difference was not significant. However, high-beta waves were increased in 15 of 19 sites in the control group, with seven sites (Fz, Cz, Pz, Fp2, F4, C4, and P4) showing significant increases. The experimental group showed a significant increase in basic psychological need satisfaction, alcohol abstinence self-efficacy, and self-regulation compared with the control group. CONCLUSIONS Neurofeedback training is recommended for improving autonomous regulation in alcohol use disorder as a nursing intervention. However, for significantly attenuating hyperarousal through brain wave correction, it may be necessary to increase the number of neurofeedback sessions.
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Affiliation(s)
- Sangjin Ko
- College of Nursing the Research Institute of Nursing Science, Kyungpook National University, Daegu, South Korea
| | - Wanju Park
- College of Nursing the Research Institute of Nursing Science, Kyungpook National University, Daegu, South Korea.
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12
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Swingle PG, Hartney E. Enhancing health leadership performance using neurotherapy. Healthc Manage Forum 2018; 31:92-96. [PMID: 29717646 DOI: 10.1177/0840470417751158] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The discovery of neuroplasticity means the brain can change, functionally, in response to the environment and to learning. While individuals can develop harmful patterns of brain activity in response to stressors, they can also learn to modify or control neurological conditions associated with specific behaviors. Neurotherapy is one way of changing brain functioning to modify troubling conditions which can impair leadership performance, through responding to feedback on their own brain activity, and enhancing optimal leadership functioning through learning to maximize such cognitive strengths as mental efficiency, focus, creativity, perseverance, and executive functioning. The present article outlines the application of the concept of optimal performance training to organizational leadership in a healthcare context, by describing approaches to neurotherapy and illustrating their application through a case study of a health leader learning to overcome the neurological and emotional sequelae of workplace stress and trauma.
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Affiliation(s)
| | - Elizabeth Hartney
- 2 Centre for Health Leadership and Research, Royal Roads University, Victoria, British Columbia, Canada
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Dalkner N, Unterrainer HF, Wood G, Skliris D, Holasek SJ, Gruzelier JH, Neuper C. Short-term Beneficial Effects of 12 Sessions of Neurofeedback on Avoidant Personality Accentuation in the Treatment of Alcohol Use Disorder. Front Psychol 2017; 8:1688. [PMID: 29018397 PMCID: PMC5622970 DOI: 10.3389/fpsyg.2017.01688] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Accepted: 09/13/2017] [Indexed: 11/13/2022] Open
Abstract
This study evaluated the effects of alpha/theta neurofeedback on Clinical Personality Accentuations in individuals with alcohol use disorder. Twenty-five males were investigated using a pre-test/post-test design with a waiting-list control group. Participants were randomly assigned either to an experimental group (n = 13) receiving 12 sessions of neurofeedback twice a week as a treatment adjunct over a period of 6 weeks, or to a control group (n = 12) receiving treatment as usual. The Inventory of Clinical Personality Accentuations and the NEO-Five-Factor Inventory were applied at pre- and post-test. The neurofeedback protocol focused on enhancement of the EEG alpha (8-12 Hz) and theta (4-7 Hz) and used a visual feedback paradigm. Analyses of covariance showed improvements in Avoidant Personality Accentuation within the experimental group. Our data suggest that 12 sessions of this neurofeedback intervention might be effective in reducing avoidant and stress-related personality traits in patients with alcohol use disorder.
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Affiliation(s)
- Nina Dalkner
- Institute of Psychology, Karl-Franzens University of Graz, Graz, Austria.,Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria
| | - Human F Unterrainer
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.,Center for Integrative Addiction Research (Grüner Kreis Society), Vienna, Austria
| | - Guilherme Wood
- Institute of Psychology, Karl-Franzens University of Graz, Graz, Austria
| | - Dimitris Skliris
- Institute of Psychology, Karl-Franzens University of Graz, Graz, Austria
| | - Sandra J Holasek
- Institute of Pathophysiology and Immunology, Medical University of Graz, Graz, Austria
| | - John H Gruzelier
- Department of Psychology, Goldsmiths, University of London, London, United Kingdom
| | - Christa Neuper
- Institute of Psychology, Karl-Franzens University of Graz, Graz, Austria
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14
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Neurofeedback in Substance Use and Overeating: Current Applications and Future Directions. CURRENT ADDICTION REPORTS 2017. [DOI: 10.1007/s40429-017-0137-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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15
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Fielenbach S, Donkers FCL, Spreen M, Visser HA, Bogaerts S. Neurofeedback Training for Psychiatric Disorders Associated with Criminal Offending: A Review. Front Psychiatry 2017; 8:313. [PMID: 29422873 PMCID: PMC5788905 DOI: 10.3389/fpsyt.2017.00313] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Accepted: 12/29/2017] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Effective treatment interventions for criminal offenders are necessary to reduce risk of criminal recidivism. Evidence about deviant electroencephalographic (EEG)-frequencies underlying disorders found in criminal offenders is accumulating. Yet, treatment modalities, such as neurofeedback, are rarely applied in the forensic psychiatric domain. Since offenders usually have multiple disorders, difficulties adhering to long-term treatment modalities, and are highly vulnerable for psychiatric decompensation, more information about neurofeedback training protocols, number of sessions, and expected symptom reduction is necessary before it can be successfully used in offender populations. METHOD Studies were analyzed that used neurofeedback in adult criminal offenders, and in disorders these patients present with. Specifically aggression, violence, recidivism, offending, psychopathy, schizophrenia, attention-deficit hyperactivity disorder (ADHD), substance-use disorder (SUD), and cluster B personality disorders were included. Only studies that reported changes in EEG-frequencies posttreatment (increase/decrease/no change in EEG amplitude/power) were included. RESULTS Databases Psychinfo and Pubmed were searched in the period 1990-2017 according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, resulting in a total of 10 studies. Studies in which neurofeedback was applied in ADHD (N = 3), SUD (N = 3), schizophrenia (N = 3), and psychopathy (N = 1) could be identified. No studies could be identified for neurofeedback applied in cluster B personality disorders, aggression, violence, or recidivism in criminal offenders. For all treatment populations and neurofeedback protocols, number of sessions varied greatly. Changes in behavioral levels ranged from no improvements to significant symptom reduction after neurofeedback training. The results are also mixed concerning posttreatment changes in targeted EEG-frequency bands. Only three studies established criteria for EEG-learning. CONCLUSION Implications of the results for the applicability of neurofeedback training in criminal offender populations are discussed. More research focusing on neurofeedback and learning of cortical activity regulation is needed in populations with externalizing behaviors associated with violence and criminal behavior, as well as multiple comorbidities. At this point, it is unclear whether standard neurofeedback training protocols can be applied in offender populations, or whether QEEG-guided neurofeedback is a better choice. Given the special context in which the studies are executed, clinical trials, as well as single-case experimental designs, might be more feasible than large double-blind randomized controls.
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Affiliation(s)
- Sandra Fielenbach
- FPC Dr. S. van Mesdag, Groningen, Netherlands.,Tilburg University, Tilburg, Netherlands
| | | | | | | | - Stefan Bogaerts
- Tilburg University, Tilburg, Netherlands.,FPC De Kijvelanden, Poortugaal, Netherlands
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