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      The Effect of Quantitative Electroencephalography-Based Neurofeedback Therapy on Anxiety, Depression, and Emotion Regulation in People with Generalized Anxiety Disorder

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          Abstract

          Introduction:

          Generalized Anxiety Disorder (GAD) is one of the most common anxiety disorders that has significant adverse effects on social functioning, occupational/academic performance, and daily living. This study aimed to evaluate the effect of Quantitative Electroencephalography (QEEG)-based Neurofeedback (NFB) therapy on anxiety, depression, and emotion regulation of people with GAD.

          Methods:

          This research is a quasi-experimental study with a pre-test/post-test/follow-up design and a control group. The study participants were 29 college students with GAD living in Zanjan City, Iran, who were selected using a convenience sampling method. Then, they were randomly divided into two groups of intervention (n=15) and control (n=14). The protocol of NFB therapy was designed based on the QEEG method. The intervention group received QEEG-based NFB therapy for 8 weeks (20 sessions, 2 sessions per week, each session for 45 min), while the control group received no intervention. The samples were surveyed and measured by using a 7-item GAD scale, Emotion Regulation Questionnaire (ERQ), 21-item Depression, Anxiety, and Stress Scale (DASS), and Structured Clinical Interview for DSM (SCID) before and after the intervention and then at a 3-month follow-up. The collected data were analyzed in SPSS software V. 22 using univariate ANCOVA and repeated measures ANOVA.

          Results:

          The within-subjects effect of time (pre-test, post-test, and follow-up) was statistically significant (P=0.031). The intervention group showed significant changes in the post-test and follow-up phases in comparison with the control group. The anxiety and depression levels of patients reduced significantly (P=0.001), and their emotion regulation improved (P=0.001) after the intervention, and they remained unchanged in the follow-up period.

          Conclusion:

          QEEG-based NFB therapy can reduce anxiety and depression and improve emotion regulation in patients with GAD.

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          Most cited references39

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          Diagnostic and Statistical Manual of Mental Disorders

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            A brief measure for assessing generalized anxiety disorder: the GAD-7.

            Generalized anxiety disorder (GAD) is one of the most common mental disorders; however, there is no brief clinical measure for assessing GAD. The objective of this study was to develop a brief self-report scale to identify probable cases of GAD and evaluate its reliability and validity. A criterion-standard study was performed in 15 primary care clinics in the United States from November 2004 through June 2005. Of a total of 2740 adult patients completing a study questionnaire, 965 patients had a telephone interview with a mental health professional within 1 week. For criterion and construct validity, GAD self-report scale diagnoses were compared with independent diagnoses made by mental health professionals; functional status measures; disability days; and health care use. A 7-item anxiety scale (GAD-7) had good reliability, as well as criterion, construct, factorial, and procedural validity. A cut point was identified that optimized sensitivity (89%) and specificity (82%). Increasing scores on the scale were strongly associated with multiple domains of functional impairment (all 6 Medical Outcomes Study Short-Form General Health Survey scales and disability days). Although GAD and depression symptoms frequently co-occurred, factor analysis confirmed them as distinct dimensions. Moreover, GAD and depression symptoms had differing but independent effects on functional impairment and disability. There was good agreement between self-report and interviewer-administered versions of the scale. The GAD-7 is a valid and efficient tool for screening for GAD and assessing its severity in clinical practice and research.
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              Large-scale brain networks and psychopathology: a unifying triple network model.

              The science of large-scale brain networks offers a powerful paradigm for investigating cognitive and affective dysfunction in psychiatric and neurological disorders. This review examines recent conceptual and methodological developments which are contributing to a paradigm shift in the study of psychopathology. I summarize methods for characterizing aberrant brain networks and demonstrate how network analysis provides novel insights into dysfunctional brain architecture. Deficits in access, engagement and disengagement of large-scale neurocognitive networks are shown to play a prominent role in several disorders including schizophrenia, depression, anxiety, dementia and autism. Synthesizing recent research, I propose a triple network model of aberrant saliency mapping and cognitive dysfunction in psychopathology, emphasizing the surprising parallels that are beginning to emerge across psychiatric and neurological disorders. Copyright © 2011 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                Basic Clin Neurosci
                Basic Clin Neurosci
                BCN
                Basic and Clinical Neuroscience
                Iranian Neuroscience Society
                2008-126X
                2228-7442
                Mar-Apr 2021
                01 March 2021
                : 12
                : 2
                : 281-290
                Affiliations
                [1. ]Department of Clinical Psychology, Faculty of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
                [2. ]Department of Clinical Psychology and Addiction Studies, Faculty of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
                [3. ]Department of Educational Sciences, Faculty of Humanity, University of Mohaghegh Ardabili, Ardabil, Iran.
                [4. ]Department of Pschiatry, Faculty of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
                [5. ]Department of Clinical Psychology, Social Determinants of Health Research Center, Zanjan University of Medical Sciences, Zanjan, Iran.
                Author notes
                [* ] Corresponding Author: Mohsen Dadashi, PhD. Address: Department of Clinical Psychology, Social Determinants of Health Research Center, Zanjan University of Medical Sciences, Zanjan, Iran. Tel: +98 (912) 7433559, E-mail: psy.mohsen@ 123456gmail.com
                Author information
                https://orcid.org/0000-0002-5451-6905
                https://orcid.org/0000-0002-3568-1796
                https://orcid.org/0000-0002-4865-7613
                https://orcid.org/0000-0002-5017-0572
                https://orcid.org/0000-0002-7304-1255
                https://orcid.org/0000-0001-5088-1158
                Article
                bcn-12-281
                10.32598/bcn.12.2.2378.1
                8672673
                34925724
                1218a596-a7d1-40e8-a0b5-4b761e2a1242
                Copyright© 2021 Iranian Neuroscience Society

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

                History
                : 06 April 2020
                : 13 December 2020
                : 10 February 2021
                Categories
                Research Paper

                quantitative,electroencephalography,neurofeedback,generalized anxiety disorder,depression,emotion regulation

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