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Boxum M, Voetterl H, van Dijk H, Gordon E, DeBeus R, Arnold LE, Arns M. Challenging the Diagnostic Value of Theta/Beta Ratio: Insights From an EEG Subtyping Meta-Analytical Approach in ADHD. Appl Psychophysiol Biofeedback 2024:10.1007/s10484-024-09649-y. [PMID: 38858282 DOI: 10.1007/s10484-024-09649-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2024]
Abstract
The frequently reported high theta/beta ratio (TBR) in the electroencephalograms (EEGs) of children with attention-deficit/hyperactivity disorder (ADHD) has been suggested to include at least two distinct neurophysiological subgroups, a subgroup with high TBR and one with slow alpha peak frequency, overlapping the theta range. We combined three large ADHD cohorts recorded under standardized procedures and used a meta-analytical approach to leverage the large sample size (N = 417; age range: 6-18 years), classify these EEG subtypes and investigate their behavioral correlates to clarify their brain-behavior relationships. To control for the fact that slow alpha might contribute to theta power, three distinct EEG subgroups (non-slow-alpha TBR (NSAT) subgroup, slow alpha peak frequency (SAF) subgroup, not applicable (NA) subgroup) were determined, based on a halfway cut-off in age- and sex-normalized theta and alpha, informed by previous literature. For the meta-analysis, Cohen's d was calculated to assess the differences between EEG subgroups for baseline effects, using means and standard deviations of baseline inattention and hyperactivity-impulsivity scores. Non-significant, small Grand Mean effect sizes (-0.212 < d < 0.218) were obtained when comparing baseline behavioral scores between the EEG subgroups. This study could not confirm any association of EEG subtype with behavioral traits. This confirms previous findings suggesting that TBR has no diagnostic value for ADHD. TBR could, however, serve as an aid to stratify patients between neurofeedback protocols based on baseline TBR. A free online tool was made available for clinicians to calculate age- and sex-corrected TBR decile scores (Brainmarker-IV) for stratification of neurofeedback protocols.
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Affiliation(s)
- Marit Boxum
- Radboud University, Nijmegen, The Netherlands
- Research Institute Brainclinics, Brainclinics Foundation, Bijleveldsingel 32, 6524 AD, Nijmegen, The Netherlands
| | - Helena Voetterl
- Research Institute Brainclinics, Brainclinics Foundation, Bijleveldsingel 32, 6524 AD, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Hanneke van Dijk
- Research Institute Brainclinics, Brainclinics Foundation, Bijleveldsingel 32, 6524 AD, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
- Synaeda Psycho Medisch Centrum, Leeuwarden, The Netherlands
| | | | - Roger DeBeus
- The University of North Carolina at Asheville, Asheville, NC, USA
| | - L Eugene Arnold
- Department of Psychiatry &, Behavioral Health, Nisonger Center, Ohio State University, Columbus, OH, USA
| | - Martijn Arns
- Research Institute Brainclinics, Brainclinics Foundation, Bijleveldsingel 32, 6524 AD, Nijmegen, The Netherlands.
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands.
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Mirhosseini H, Maayeshi N, Hooshmandi H, Moradkhani S, Hosseinzadeh M. The effect of vitamin D supplementation on the brain mapping and behavioral performance of children with ADHD: a double-blinded randomized controlled trials. Nutr Neurosci 2024; 27:566-576. [PMID: 37489917 DOI: 10.1080/1028415x.2023.2233752] [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: 07/26/2023]
Abstract
BACKGROUND Attention deficit hyperactivity disorder (ADHD) is one of the common neurodevelopmental diseases that are accompanied with EEG pattern changes and Low levels of 25-hydroxyvitamin D [25(OH)D]. Neurofeedback provides a feedback signal to alleviate brain wave abnormalities and offers an alternative therapy for ADHD. This study aimed to investigate the concomitant effects of Vitamin D3 supplementation and Neurofeedback on children with ADHD. METHOD This study was implemented on children with an established diagnosis of ADHD who received multisession Neurofeedback therapy. The intervention and control groups received 50000 IU vitamin D3 capsules and placebo respectively once a week for 2 months. The background rhythm was measured using quantitative EEG both before and at the end duration of the therapy. RESULTS All of the vitamin D3 treated children showed a significant increase in the 25(OH)D (46 ± 18, 28 ± 10 (ng/ml), p = 0.001) and serum calcium level (9.5 ± 0.5, 9.8 ± 0.3 (mg/dl), p = 0.003) compared to the baseline. There were a statistically significant decrease in the treatment group about theta relative power, theta/beta, and theta/alpha power ratios within two eyes conditions (p = 0.004). All the changes were significant within eye open state in the treatment group (2.4 ± 1.2, 1.7 ± 0.5, p = 0.01). There is a significant relationship between Connors scores and some brain waves improvement (in relative theta (r = 0.998) and theta-to-beta power difference score (r = 0.56) (p < 0.001). CONCLUSION Concomitant use of vitamin D3 supplementation and neurofeedback, increases the serum level of this vitamin and reveal favorable electrophysiological results in children with ADHD.Trial registration: Iranian Registry of Clinical Trials identifier: IRCT20200922048802N1..
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Affiliation(s)
- Hamid Mirhosseini
- Research Center of Addiction and Behavioral Sciences, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Najmeh Maayeshi
- Research Center for Food Hygiene and Safety, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Hadis Hooshmandi
- Research Center for Food Hygiene and Safety, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Shadi Moradkhani
- Department of Cognitive Neuroscience, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran
| | - Mahdieh Hosseinzadeh
- Research Center for Food Hygiene and Safety, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
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Rösch SA, Schmidt R, Hilbert A. Predictors of neurofeedback treatment outcome in binge-eating disorder: An exploratory study. Int J Eat Disord 2023; 56:2283-2294. [PMID: 37737523 DOI: 10.1002/eat.24062] [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: 05/10/2023] [Revised: 09/05/2023] [Accepted: 09/05/2023] [Indexed: 09/23/2023]
Abstract
OBJECTIVE Knowledge on predictors for treatment response to psychotherapy in binge-eating disorder (BED) is mixed and not yet available for increasingly popular neurofeedback (NF) treatment targeting self-regulation of aberrant brain activity. This study examined eating disorder- and psychopathology-related predictors for NF treatment success in BED. METHOD Patients with BED (N = 78) were randomized to 12 sessions of real-time functional near-infrared spectroscopy (rtfNIRS)-NF, targeting individual prefrontal cortex signal up-regulation, electroencephalography (EEG)-NF, targeting down-regulation of fronto-central beta activity, or waitlist (WL). The few studies assessing predictors for clinical outcomes after NF and evidenced predictors for psychotherapy guided the selection of baseline eating disorder-related predictors, including objective binge-eating (OBE) frequency, eating disorder psychopathology (EDP), food cravings, and body mass index (BMI), and general psychopathology-related predictors, including depressive and anxiety symptoms, impulsivity, emotion dysregulation, and self-efficacy. These questionnaire-based or objectively assessed (BMI) predictors were regressed on outcomes OBE frequency and EDP as key features of BED at post-treatment (t1) and 6-month follow-up (t2) in preregistered generalized mixed models (https://osf.io/4aktp). RESULTS Higher EDP, food cravings, and BMI predicted worse outcomes across all groups at t1 and t2. General psychopathology-related predictors did not predict outcomes at t1 and t2. Explorative analyses indicated that lower OBE frequency and higher self-efficacy predicted lower OBE frequency, and lower EDP predicted lower EDP after the waiting period in WL. DISCUSSION Consistent with findings for psychotherapy, higher eating disorder-related predictors were associated with higher EDP and OBE frequency. The specificity of psychopathological predictors for NF treatment success warrants further examination. PUBLIC SIGNIFICANCE This exploratory study firstly assessed eating disorder- and psychopathology-related predictors for neurofeedback treatment outcome in binge-eating disorder and overweight. Findings showed an association between higher eating disorder symptoms and worse neurofeedback outcomes, indicating special needs to be considered in neurofeedback treatment for patients with a higher binge-eating disorder symptom burden. In general, outcomes and assignment to neurofeedback treatment may be improved upon consideration of baseline psychological variables.
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Affiliation(s)
- Sarah A Rösch
- Integrated Research and Treatment Center Adiposity Diseases, Behavioral Medicine Research Unit, Leipzig University Medical Center, Leipzig, Germany
- International Max Planck Research School NeuroCom, Leipzig, Germany
| | - Ricarda Schmidt
- Integrated Research and Treatment Center Adiposity Diseases, Behavioral Medicine Research Unit, Leipzig University Medical Center, Leipzig, Germany
| | - Anja Hilbert
- Integrated Research and Treatment Center Adiposity Diseases, Behavioral Medicine Research Unit, Leipzig University Medical Center, Leipzig, Germany
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Saif MGM, Sushkova L. Clinical efficacy of neurofeedback protocols in treatment of Attention Deficit/Hyperactivity Disorder (ADHD): A systematic review. Psychiatry Res Neuroimaging 2023; 335:111723. [PMID: 37862958 DOI: 10.1016/j.pscychresns.2023.111723] [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] [Received: 02/23/2023] [Revised: 08/07/2023] [Accepted: 10/09/2023] [Indexed: 10/22/2023]
Abstract
Attention Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder of childhood and its effects mostly continue to adulthood. Neurofeedback training has shown promising results in the treatment of ADHD. However, there is no yet consensus as to the efficacy of neurofeedback in comparison to stimulant medication. Despite a large number of meta-analyses and comparative reviews on the effects of neurofeedback in the treatment of ADHD, there is a lack of comparative reviews on the efficacy of neurofeedback protocols. This review aims at examining the effect of different training protocols on the efficacy of neurofeedback in the treatment of ADHD across specific research studies published between 2017 and 2022. Altogether, a total of 916 records were identified and 18 articles met the inclusion criteria. Findings show that the efficacy of different neurofeedback protocols has been comparable to the efficacy of stimulant medications. Nevertheless, there is still room for more clinical trials on neurofeedback protocols for ADHD since some studies suggest not using neurofeedback as a stand-alone treatment for ADHD. To my knowledge, this systematic review is the first to review neurofeedback protocols for ADHD. This study provides significant implications and directions for researchers to conduct research, on alternatives to stimulant medications for ADHD, in the future.
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Affiliation(s)
- Mohammed Gamil Mohammed Saif
- Vladimir State University named after Alexander and Nikolay Stoletovs, Department of Electronics, Instrumentation and Biotechnical Systems, Vladimir, Russia.
| | - Lyudmila Sushkova
- Vladimir State University named after Alexander and Nikolay Stoletovs, Department of Electronics, Instrumentation and Biotechnical Systems, Vladimir, Russia
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Dagnino PC, Braboszcz C, Kroupi E, Splittgerber M, Brauer H, Dempfle A, Breitling-Ziegler C, Prehn-Kristensen A, Krauel K, Siniatchkin M, Moliadze V, Soria-Frisch A. Stratification of responses to tDCS intervention in a healthy pediatric population based on resting-state EEG profiles. Sci Rep 2023; 13:8438. [PMID: 37231030 DOI: 10.1038/s41598-023-34724-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 05/06/2023] [Indexed: 05/27/2023] Open
Abstract
Transcranial Direct Current Stimulation (tDCS) is a non-invasive neuromodulation technique with a wide variety of clinical and research applications. As increasingly acknowledged, its effectiveness is subject dependent, which may lead to time consuming and cost ineffective treatment development phases. We propose the combination of electroencephalography (EEG) and unsupervised learning for the stratification and prediction of individual responses to tDCS. A randomized, sham-controlled, double-blind crossover study design was conducted within a clinical trial for the development of pediatric treatments based on tDCS. The tDCS stimulation (sham and active) was applied either in the left dorsolateral prefrontal cortex or in the right inferior frontal gyrus. Following the stimulation session, participants performed 3 cognitive tasks to assess the response to the intervention: the Flanker Task, N-Back Task and Continuous Performance Test (CPT). We used data from 56 healthy children and adolescents to implement an unsupervised clustering approach that stratify participants based on their resting-state EEG spectral features before the tDCS intervention. We then applied a correlational analysis to characterize the clusters of EEG profiles in terms of participant's difference in the behavioral outcome (accuracy and response time) of the cognitive tasks when performed after a tDCS-sham or a tDCS-active session. Better behavioral performance following the active tDCS session compared to the sham tDCS session is considered a positive intervention response, whilst the reverse is considered a negative one. Optimal results in terms of validity measures was obtained for 4 clusters. These results show that specific EEG-based digital phenotypes can be associated to particular responses. While one cluster presents neurotypical EEG activity, the remaining clusters present non-typical EEG characteristics, which seem to be associated with a positive response. Findings suggest that unsupervised machine learning can be successfully used to stratify and eventually predict responses of individuals to a tDCS treatment.
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Affiliation(s)
| | - Claire Braboszcz
- Neuroscience BU, Starlab Barcelona SL, Av Tibidabo 47 bis, Barcelona, Spain
| | - Eleni Kroupi
- Neuroscience BU, Starlab Barcelona SL, Av Tibidabo 47 bis, Barcelona, Spain
| | - Maike Splittgerber
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
| | - Hannah Brauer
- Department of Child and Adolescent Psychiatry, Center for Integrative Psychiatry Kiel, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Astrid Dempfle
- Institute of Medical Informatics and Statistics, University Hospital Schleswig Holstein, Kiel University, Kiel, Germany
| | - Carolin Breitling-Ziegler
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Magdeburg, Magdeburg, Germany
| | - Alexander Prehn-Kristensen
- Department of Child and Adolescent Psychiatry, Center for Integrative Psychiatry Kiel, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Kerstin Krauel
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Magdeburg, Magdeburg, Germany
| | - Michael Siniatchkin
- Clinic for Child and Adolescent Psychiatry and Psychotherapy, Protestant Hospital Bethel, University of Bielefeld, Campus Bielefeld Bethel, Bielefeld, Germany
| | - Vera Moliadze
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
| | - Aureli Soria-Frisch
- Neuroscience BU, Starlab Barcelona SL, Av Tibidabo 47 bis, Barcelona, Spain.
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Effects of SMR Neurofeedback on Cognitive Functions in an Adult Population with Sleep Problems: A Tele-neurofeedback Study. Appl Psychophysiol Biofeedback 2023; 48:27-33. [PMID: 36114953 DOI: 10.1007/s10484-022-09560-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/07/2022] [Indexed: 11/02/2022]
Abstract
A good night's sleep is vital for normal human cognitive performance. We earlier reported that a home-based tele-neurofeedback program effectively reduced sleep problems (Krepel et al. in Appl Psychophysiol Biofeedback, https://doi.org/10.1007/s10484-021-09525-z , 2021). The present article presents a follow-up on this earlier study and investigates improvements in cognitive functions after sensory-motor rhythm (SMR) neurofeedback. Thirty-seven participants reporting sleep problems received SMR neurofeedback. Cognitive measures were assessed pre- and post-treatment. Measurements included a continuous performance/working memory (CPT/WM) task, Stroop task, and Trailmaking A and B test (from the IntegNeuro cognitive test battery). For neurofeedback-Learners relative to non-Learners significantly improved CPT/WM response time (d = 0.50), omission errors (d = 0.67), and Stroop incongruent performance (d = 0.72) were found. A significant time effect for both groups were found for the Stroop, the Trailmaking test part B (d = 0.52), and the Stroop interference score (d = 0.55). No significant correlations between changes in sleep and changes in cognition (p > 0.05) were found for the sample. SMR neurofeedback specifically improved measures of attention (response time and omission errors in a CPT/WM test) and working memory (Stroop incongruent) for SMR Learners compared to non-Learners with medium effect sizes. Furthermore, overall improvements for the whole sample were found on measures of executive function and visual attention, possibly reflecting non-specific or practice effects. Future better powered randomized control trials are needed to investigate if cognitive improvements are a direct effect of SMR neurofeedback or mediated by sleep improvements.
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Voetterl H, van Wingen G, Michelini G, Griffiths KR, Gordon E, DeBeus R, Korgaonkar MS, Loo SK, Palmer D, Breteler R, Denys D, Arnold LE, du Jour P, van Ruth R, Jansen J, van Dijk H, Arns M. Brainmarker-I Differentially Predicts Remission to Various Attention-Deficit/Hyperactivity Disorder Treatments: A Discovery, Transfer, and Blinded Validation Study. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:52-60. [PMID: 35240343 DOI: 10.1016/j.bpsc.2022.02.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 02/11/2022] [Accepted: 02/18/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder is characterized by neurobiological heterogeneity, possibly explaining why not all patients benefit from a given treatment. As a means to select the right treatment (stratification), biomarkers may aid in personalizing treatment prescription, thereby increasing remission rates. METHODS The biomarker in this study was developed in a heterogeneous clinical sample (N = 4249) and first applied to two large transfer datasets, a priori stratifying young males (<18 years) with a higher individual alpha peak frequency (iAPF) to methylphenidate (N = 336) and those with a lower iAPF to multimodal neurofeedback complemented with sleep coaching (N = 136). Blinded, out-of-sample validations were conducted in two independent samples. In addition, the association between iAPF and response to guanfacine and atomoxetine was explored. RESULTS Retrospective stratification in the transfer datasets resulted in a predicted gain in normalized remission of 17% to 30%. Blinded out-of-sample validations for methylphenidate (n = 41) and multimodal neurofeedback (n = 71) corroborated these findings, yielding a predicted gain in stratified normalized remission of 36% and 29%, respectively. CONCLUSIONS This study introduces a clinically interpretable and actionable biomarker based on the iAPF assessed during resting-state electroencephalography. Our findings suggest that acknowledging neurobiological heterogeneity can inform stratification of patients to their individual best treatment and enhance remission rates.
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Affiliation(s)
- Helena Voetterl
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands.
| | - Guido van Wingen
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Giorgia Michelini
- Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, Semel Institute for Neuroscience & Human Behavior, University of California Los Angeles, Los Angeles, California; Department of Biological & Experimental Psychology, Queen Mary University of London, London, United Kingdom
| | - Kristi R Griffiths
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia
| | | | - Roger DeBeus
- Department of Psychology, University of North Carolina at Asheville, Asheville, North Carolina
| | - Mayuresh S Korgaonkar
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia; School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Sandra K Loo
- Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, Semel Institute for Neuroscience & Human Behavior, University of California Los Angeles, Los Angeles, California
| | | | - Rien Breteler
- Department of Clinical Psychology, Radboud University Nijmegen, Nijmegen, the Netherlands
| | - Damiaan Denys
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - L Eugene Arnold
- Department of Psychiatry & Behavioral Health, Nisonger Center, Ohio State University, Columbus, Ohio
| | | | | | - Jeanine Jansen
- Open Mind Neuroscience, Eindhoven, the Netherlands; Eindhovens Psychologisch Instituut, Eindhoven, the Netherlands
| | - Hanneke van Dijk
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Martijn Arns
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands.
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Michelini G, Norman LJ, Shaw P, Loo SK. Treatment biomarkers for ADHD: Taking stock and moving forward. Transl Psychiatry 2022; 12:444. [PMID: 36224169 PMCID: PMC9556670 DOI: 10.1038/s41398-022-02207-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 09/20/2022] [Accepted: 09/23/2022] [Indexed: 11/09/2022] Open
Abstract
The development of treatment biomarkers for psychiatric disorders has been challenging, particularly for heterogeneous neurodevelopmental conditions such as attention-deficit/hyperactivity disorder (ADHD). Promising findings are also rarely translated into clinical practice, especially with regard to treatment decisions and development of novel treatments. Despite this slow progress, the available neuroimaging, electrophysiological (EEG) and genetic literature provides a solid foundation for biomarker discovery. This article gives an updated review of promising treatment biomarkers for ADHD which may enhance personalized medicine and novel treatment development. The available literature points to promising pre-treatment profiles predicting efficacy of various pharmacological and non-pharmacological treatments for ADHD. These candidate predictive biomarkers, particularly those based on low-cost and non-invasive EEG assessments, show promise for the future stratification of patients to specific treatments. Studies with repeated biomarker assessments further show that different treatments produce distinct changes in brain profiles, which track treatment-related clinical improvements. These candidate monitoring/response biomarkers may aid future monitoring of treatment effects and point to mechanistic targets for novel treatments, such as neurotherapies. Nevertheless, existing research does not support any immediate clinical applications of treatment biomarkers for ADHD. Key barriers are the paucity of replications and external validations, the use of small and homogeneous samples of predominantly White children, and practical limitations, including the cost and technical requirements of biomarker assessments and their unknown feasibility and acceptability for people with ADHD. We conclude with a discussion of future directions and methodological changes to promote clinical translation and enhance personalized treatment decisions for diverse groups of individuals with ADHD.
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Affiliation(s)
- Giorgia Michelini
- grid.4868.20000 0001 2171 1133Department of Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK ,grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA USA
| | - Luke J. Norman
- grid.416868.50000 0004 0464 0574Office of the Clinical Director, NIMH, Bethesda, MD USA
| | - Philip Shaw
- grid.416868.50000 0004 0464 0574Office of the Clinical Director, NIMH, Bethesda, MD USA ,grid.280128.10000 0001 2233 9230Section on Neurobehavioral and Clinical Research, Social and Behavioral Research Branch, National Human Genome Research Institute, NIH, Bethesda, MD USA
| | - Sandra K. Loo
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA USA
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Patil AU, Madathil D, Fan YT, Tzeng OJL, Huang CM, Huang HW. Neurofeedback for the Education of Children with ADHD and Specific Learning Disorders: A Review. Brain Sci 2022; 12:brainsci12091238. [PMID: 36138974 PMCID: PMC9497239 DOI: 10.3390/brainsci12091238] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 09/03/2022] [Accepted: 09/07/2022] [Indexed: 12/02/2022] Open
Abstract
Neurofeedback (NF) is a type of biofeedback in which an individual’s brain activity is measured and presented to them to support self-regulation of ongoing brain oscillations and achieve specific behavioral and neurophysiological outcomes. NF training induces changes in neurophysiological circuits that are associated with behavioral changes. Recent evidence suggests that the NF technique can be used to train electrical brain activity and facilitate learning among children with learning disorders. Toward this aim, this review first presents a generalized model for NF systems, and then studies involving NF training for children with disorders such as dyslexia, attention-deficit/hyperactivity disorder (ADHD), and other specific learning disorders such as dyscalculia and dysgraphia are reviewed. The discussion elaborates on the potential for translational applications of NF in educational and learning settings with details. This review also addresses some issues concerning the role of NF in education, and it concludes with some solutions and future directions. In order to provide the best learning environment for children with ADHD and other learning disorders, it is critical to better understand the role of NF in educational settings. The review provides the potential challenges of the current systems to aid in highlighting the issues undermining the efficacy of current systems and identifying solutions to address them. The review focuses on the use of NF technology in education for the development of adaptive teaching methods and the best learning environment for children with learning disabilities.
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Affiliation(s)
- Abhishek Uday Patil
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu 300093, Taiwan
| | - Deepa Madathil
- Jindal Institute of Behavioural Sciences, O.P. Jindal Global University, Haryana 131001, India
| | - Yang-Tang Fan
- Graduate Institute of Medicine, Yuan Ze University, Taoyuan 320315, Taiwan
| | - Ovid J. L. Tzeng
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu 300093, Taiwan
- Centre for Intelligent Drug Systems and Smart Bio-Devices (IDSB), National Yang Ming Chiao Tung University, Hsinchu 300093, Taiwan
- College of Humanities and Social Sciences, Taipei Medical University, Taipei 106339, Taiwan
- Department of Educational Psychology and Counseling, National Taiwan Normal University, Taipei 106308, Taiwan
- Hong Kong Institute for Advanced Studies, City University of Hong Kong, Hong Kong
| | - Chih-Mao Huang
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu 300093, Taiwan
- Centre for Intelligent Drug Systems and Smart Bio-Devices (IDSB), National Yang Ming Chiao Tung University, Hsinchu 300093, Taiwan
| | - Hsu-Wen Huang
- Department of Linguistics and Translation, City University of Hong Kong, Hong Kong
- Correspondence: ; Tel.: +852-3442-2579
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Hasslinger J, Meregalli M, Bölte S. How standardized are “standard protocols”? Variations in protocol and performance evaluation for slow cortical potential neurofeedback: A systematic review. Front Hum Neurosci 2022; 16:887504. [PMID: 36118975 PMCID: PMC9478392 DOI: 10.3389/fnhum.2022.887504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 07/26/2022] [Indexed: 11/16/2022] Open
Abstract
Neurofeedback (NF) aims to alter neural activity by enhancing self-regulation skills. Over the past decade NF has received considerable attention as a potential intervention option for many somatic and mental conditions and ADHD in particular. However, placebo-controlled trials have demonstrated insufficient superiority of NF compared to treatment as usual and sham conditions. It has been argued that the reason for limited NF effects may be attributable to participants' challenges to self-regulate the targeted neural activity. Still, there is support of NF efficacy when only considering so-called “standard protocols,” such as Slow Cortical Potential NF training (SCP-NF). This PROSPERO registered systematic review following PRISMA criteria searched literature databases for studies applying SCP-NF protocols. Our review focus concerned the operationalization of self-regulatory success, and protocol-details that could influence the evaluation of self-regulation. Such details included; electrode placement, number of trials, length per trial, proportions of training modalities, handling of artifacts and skill-transfer into daily-life. We identified a total of 63 eligible reports published in the year 2000 or later. SCP-NF protocol-details varied considerably on most variables, except for electrode placement. However, due to the increased availability of commercial systems, there was a trend to more uniform protocol-details. Although, token-systems are popular in SCP-NF for ADHD, only half reported a performance-based component. Also, transfer exercises have become a staple part of SCP-NF. Furthermore, multiple operationalizations of regulatory success were identified, limiting comparability between studies, and perhaps usefulness of so-called transfer-exercises, which purpose is to facilitate the transfer of the self-regulatory skills into every-day life. While studies utilizing SCP as Brain-Computer-Interface mainly focused on the acquisition of successful self-regulation, clinically oriented studies often neglected this. Congruently, rates of successful regulators in clinical studies were mostly low (<50%). The relation between SCP self-regulation and behavior, and how symptoms in different disorders are affected, is complex and not fully understood. Future studies need to report self-regulation based on standardized measures, in order to facilitate both comparability and understanding of the effects on symptoms. When applied as treatment, future SCP-NF studies also need to put greater emphasis on the acquisition of self-regulation (before evaluating symptom outcomes).
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Affiliation(s)
- John Hasslinger
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet & Stockholm Healthcare Services, Region Stockholm, Stockholm, Sweden
- Child and Adolescent Psychiatry, Stockholm Healthcare Services, Region Stockholm, Stockholm, Sweden
- *Correspondence: John Hasslinger
| | - Micaela Meregalli
- Child and Adolescent Psychiatry, Stockholm Healthcare Services, Region Stockholm, Stockholm, Sweden
| | - Sven Bölte
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet & Stockholm Healthcare Services, Region Stockholm, Stockholm, Sweden
- Child and Adolescent Psychiatry, Stockholm Healthcare Services, Region Stockholm, Stockholm, Sweden
- Curtin Autism Research Group, Curtin School of Allied Health, Curtin University, Perth, WA, Australia
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11
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Férat V, Arns M, Deiber MP, Hasler R, Perroud N, Michel CM, Ros T. Electroencephalographic Microstates as Novel Functional Biomarkers for Adult Attention-Deficit/Hyperactivity Disorder. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:814-823. [PMID: 34823049 DOI: 10.1016/j.bpsc.2021.11.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 11/05/2021] [Accepted: 11/06/2021] [Indexed: 05/25/2023]
Abstract
BACKGROUND Research on the electroencephalographic (EEG) signatures of attention-deficit/hyperactivity disorder (ADHD) has historically concentrated on its frequency spectrum or event-related evoked potentials. In this work, we investigate EEG microstates (MSs), an alternative framework defined by the clustering of recurring topographical patterns, as a novel approach for examining large-scale cortical dynamics in ADHD. METHODS Using k-means clustering, we studied the spatiotemporal dynamics of ADHD during the rest condition by comparing the MS segmentations between adult patients with ADHD and neurotypical control subjects across two independent datasets: the first dataset consisted of 66 patients with ADHD and 66 control subjects, and the second dataset comprised 22 patients with ADHD and 22 control subjects and was used for out-of-sample validation. RESULTS Spatially, patients with ADHD and control subjects displayed equivalent MS topographies (canonical maps), indicating the preservation of prototypical EEG generators in patients with ADHD. However, this concordance was accompanied by significant differences in temporal dynamics. At the group level, and across both datasets, ADHD diagnosis was associated with longer mean durations of a frontocentral topography (MS D), indicating that its electrocortical generator(s) could be acting as pronounced attractors of global cortical dynamics. In addition, its spatiotemporal metrics were correlated with sleep disturbance, the latter being known to have a strong relationship with ADHD. Finally, in the first (larger) dataset, we also found evidence of decreased time coverage and mean duration of a left-right diagonal topography (MS A), which inversely correlated with ADHD scores. CONCLUSIONS Overall, our study underlines the value of EEG MSs as promising functional biomarkers for ADHD, offering an additional lens through which to examine its neurophysiological mechanisms.
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Affiliation(s)
- Victor Férat
- Functional Brain Mapping Laboratory, Department of Basic Neurosciences, Campus Biotech, University of Geneva, Geneva, Switzerland.
| | - Martijn Arns
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, The Netherlands; Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Location AMC, Amsterdam Neuroscience, Amsterdam, The Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Marie-Pierre Deiber
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland; Division of Psychiatric Specialties, Department of Psychiatry, University Hospitals of Geneva, Geneva, Switzerland
| | - Roland Hasler
- Division of Psychiatric Specialties, Department of Psychiatry, University Hospitals of Geneva, Geneva, Switzerland; Department of Psychiatry, Dalhousie University, Nova Scotia, Halifax, Nova Scotia, Canada
| | - Nader Perroud
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland; Division of Psychiatric Specialties, Department of Psychiatry, University Hospitals of Geneva, Geneva, Switzerland
| | - Christoph M Michel
- Functional Brain Mapping Laboratory, Department of Basic Neurosciences, Campus Biotech, University of Geneva, Geneva, Switzerland; Center for Biomedical Imaging, Lausanne, Geneva, Switzerland
| | - Tomas Ros
- Functional Brain Mapping Laboratory, Department of Basic Neurosciences, Campus Biotech, University of Geneva, Geneva, Switzerland; Division of Psychiatric Specialties, Department of Psychiatry, University Hospitals of Geneva, Geneva, Switzerland; Center for Biomedical Imaging, Lausanne, Geneva, Switzerland
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12
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Nermend M, Flaga-Gieruszyńska K, Kroplewski Z, Nermend K. Neurological Mechanisms of Diagnosis and Therapy in School Children with ADHD in Poland. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19137615. [PMID: 35805275 PMCID: PMC9265331 DOI: 10.3390/ijerph19137615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 06/15/2022] [Accepted: 06/21/2022] [Indexed: 11/24/2022]
Abstract
The paper aims to present a holistic view of attention deficit hyperactivity disorder (ADHD) in pedagogical, psychological, legal, and social dimensions in Polish schools. The authors present the benefits of neurofeedback therapy for elementary school pupils. In order to verify the validity, the paper compares the concordance of a medical diagnosis confirming ADHD syndrome with the occurrence of abnormal electrical brain function recording and abnormalities therein as well as the effectiveness of the neurofeedback therapy. The study confirms that the reported problems faced by pupils and affecting their emotional functioning are reflected in their EEG records. Conclusions from the study lead to the proposal that the neurofeedback assessment should be performed at schools, which should result in the implementation of effective therapy. Moreover, the neurofeedback method should be promoted in Polish schools as an alternative to pharmacological therapy, which, as the research proves, is not always effective. Neurofeedback therapy, similarly to behavioral therapy, is very much needed and useful because it provides optimal conditions for the child’s development and shapes their relations with the environment effectively and harmlessly.
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Affiliation(s)
- Małgorzata Nermend
- Department of Early Education, University of Szczecin, 71-004 Szczecin, Poland;
| | - Kinga Flaga-Gieruszyńska
- Research Team on Civil Procedural Law and Informatization of the Justice, Faculty of Law and Administration, University of Szczecin, 71-101 Szczecin, Poland;
| | - Zdzisław Kroplewski
- Institute of Psychology, University of Szczecin, Krakowska 69, 71-017 Szczecin, Poland;
| | - Kesra Nermend
- Department of Decision Support Methods and Cognitive Neuroscience, Institute of Management, University of Szczecin, 71-004 Szczecin, Poland
- Correspondence:
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13
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van Dijk H, van Wingen G, Denys D, Olbrich S, van Ruth R, Arns M. The two decades brainclinics research archive for insights in neurophysiology (TDBRAIN) database. Sci Data 2022; 9:333. [PMID: 35701407 PMCID: PMC9198070 DOI: 10.1038/s41597-022-01409-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 05/23/2022] [Indexed: 11/13/2022] Open
Abstract
In neuroscience, electroencephalography (EEG) data is often used to extract features (biomarkers) to identify neurological or psychiatric dysfunction or to predict treatment response. At the same time neuroscience is becoming more data-driven, made possible by computational advances. In support of biomarker development and methodologies such as training Artificial Intelligent (AI) networks we present the extensive Two Decades-Brainclinics Research Archive for Insights in Neurophysiology (TDBRAIN) EEG database. This clinical lifespan database (5-89 years) contains resting-state, raw EEG-data complemented with relevant clinical and demographic data of a heterogenous collection of 1274 psychiatric patients collected between 2001 to 2021. Main indications included are Major Depressive Disorder (MDD; N = 426), attention deficit hyperactivity disorder (ADHD; N = 271), Subjective Memory Complaints (SMC: N = 119) and obsessive-compulsive disorder (OCD; N = 75). Demographic-, personality- and day of measurement data are included in the database. Thirty percent of clinical and treatment outcome data will remain blinded for prospective validation and replication purposes. The TDBRAIN database and code are available on the Brainclinics Foundation website at www.brainclinics.com/resources and on Synapse at www.synapse.org/TDBRAIN .
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Affiliation(s)
- Hanneke van Dijk
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, the Netherlands.
- Faculty of Psychology & Neuroscience, Department of Cognitive Neuroscience, Maastricht University, Maastricht, the Netherlands.
| | - Guido van Wingen
- Amsterdam UMC, Department of psychiatry, University of Amsterdam, location AMC, Amsterdam, the Netherlands
| | - Damiaan Denys
- Amsterdam UMC, Department of psychiatry, University of Amsterdam, location AMC, Amsterdam, the Netherlands
| | - Sebastian Olbrich
- Department for Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry Zurich, Zurich, Switzerland
| | | | - Martijn Arns
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, the Netherlands
- Faculty of Psychology & Neuroscience, Department of Cognitive Neuroscience, Maastricht University, Maastricht, the Netherlands
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14
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Braverman ER, Dennen CA, Gold MS, Bowirrat A, Gupta A, Baron D, Roy AK, Smith DE, Cadet JL, Blum K. Proposing a "Brain Health Checkup (BHC)" as a Global Potential "Standard of Care" to Overcome Reward Dysregulation in Primary Care Medicine: Coupling Genetic Risk Testing and Induction of "Dopamine Homeostasis". INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:5480. [PMID: 35564876 PMCID: PMC9099927 DOI: 10.3390/ijerph19095480] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 04/26/2022] [Accepted: 04/28/2022] [Indexed: 12/27/2022]
Abstract
In 2021, over 100,000 people died prematurely from opioid overdoses. Neuropsychiatric and cognitive impairments are underreported comorbidities of reward dysregulation due to genetic antecedents and epigenetic insults. Recent genome-wide association studies involving millions of subjects revealed frequent comorbidity with substance use disorder (SUD) in a sizeable meta-analysis of depression. It found significant associations with the expression of NEGR1 in the hypothalamus and DRD2 in the nucleus accumbens, among others. However, despite the rise in SUD and neuropsychiatric illness, there are currently no standard objective brain assessments being performed on a routine basis. The rationale for encouraging a standard objective Brain Health Check (BHC) is to have extensive data available to treat clinical syndromes in psychiatric patients. The BHC would consist of a group of reliable, accurate, cost-effective, objective assessments involving the following domains: Memory, Attention, Neuropsychiatry, and Neurological Imaging. Utilizing primarily PUBMED, over 36 years of virtually all the computerized and written-based assessments of Memory, Attention, Psychiatric, and Neurological imaging were reviewed, and the following assessments are recommended for use in the BHC: Central Nervous System Vital Signs (Memory), Test of Variables of Attention (Attention), Millon Clinical Multiaxial Inventory III (Neuropsychiatric), and Quantitative Electroencephalogram/P300/Evoked Potential (Neurological Imaging). Finally, we suggest continuing research into incorporating a new standard BHC coupled with qEEG/P300/Evoked Potentials and genetically guided precision induction of "dopamine homeostasis" to diagnose and treat reward dysregulation to prevent the consequences of dopamine dysregulation from being epigenetically passed on to generations of our children.
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Affiliation(s)
- Eric R. Braverman
- The Kenneth Blum Institute on Behavior & Neurogenetics, Austin, TX 78701, USA; (E.R.B.); (C.A.D.)
| | - Catherine A. Dennen
- The Kenneth Blum Institute on Behavior & Neurogenetics, Austin, TX 78701, USA; (E.R.B.); (C.A.D.)
| | - Mark S. Gold
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA;
- Department of Psychiatry, Tulane School of Medicine, New Orleans, LA 70112, USA;
| | - Abdalla Bowirrat
- Department of Molecular Biology, Adelson School of Medicine, Ariel University, Ariel 40700, Israel;
| | - Ashim Gupta
- Future Biologics, Lawrenceville, GA 30043, USA;
| | - David Baron
- Division of Addiction Research & Education, Center for Psychiatry, Medicine & Primary Care (Office of Provost), Western University Health Sciences, Pomona, CA 91766, USA;
| | - A. Kenison Roy
- Department of Psychiatry, Tulane School of Medicine, New Orleans, LA 70112, USA;
| | - David E. Smith
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA;
| | - Jean Lud Cadet
- The Molecular Neuropsychiatry Research Branch, NIH National Institute on Drug Abuse, Baltimore, MD 21224, USA;
| | - Kenneth Blum
- The Kenneth Blum Institute on Behavior & Neurogenetics, Austin, TX 78701, USA; (E.R.B.); (C.A.D.)
- Division of Addiction Research & Education, Center for Psychiatry, Medicine & Primary Care (Office of Provost), Western University Health Sciences, Pomona, CA 91766, USA;
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15
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Nami M, Thatcher R, Kashou N, Lopes D, Lobo M, Bolanos JF, Morris K, Sadri M, Bustos T, Sanchez GE, Mohd-Yusof A, Fiallos J, Dye J, Guo X, Peatfield N, Asiryan M, Mayuku-Dore A, Krakauskaite S, Soler EP, Cramer SC, Besio WG, Berenyi A, Tripathi M, Hagedorn D, Ingemanson M, Gombosev M, Liker M, Salimpour Y, Mortazavi M, Braverman E, Prichep LS, Chopra D, Eliashiv DS, Hariri R, Tiwari A, Green K, Cormier J, Hussain N, Tarhan N, Sipple D, Roy M, Yu JS, Filler A, Chen M, Wheeler C, Ashford JW, Blum K, Zelinsky D, Yamamoto V, Kateb B. A Proposed Brain-, Spine-, and Mental- Health Screening Methodology (NEUROSCREEN) for Healthcare Systems: Position of the Society for Brain Mapping and Therapeutics. J Alzheimers Dis 2022; 86:21-42. [PMID: 35034899 DOI: 10.3233/jad-215240] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The COVID-19 pandemic has accelerated neurological, mental health disorders, and neurocognitive issues. However, there is a lack of inexpensive and efficient brain evaluation and screening systems. As a result, a considerable fraction of patients with neurocognitive or psychobehavioral predicaments either do not get timely diagnosed or fail to receive personalized treatment plans. This is especially true in the elderly populations, wherein only 16% of seniors say they receive regular cognitive evaluations. Therefore, there is a great need for development of an optimized clinical brain screening workflow methodology like what is already in existence for prostate and breast exams. Such a methodology should be designed to facilitate objective early detection and cost-effective treatment of such disorders. In this paper we have reviewed the existing clinical protocols, recent technological advances and suggested reliable clinical workflows for brain screening. Such protocols range from questionnaires and smartphone apps to multi-modality brain mapping and advanced imaging where applicable. To that end, the Society for Brain Mapping and Therapeutics (SBMT) proposes the Brain, Spine and Mental Health Screening (NEUROSCREEN) as a multi-faceted approach. Beside other assessment tools, NEUROSCREEN employs smartphone guided cognitive assessments and quantitative electroencephalography (qEEG) as well as potential genetic testing for cognitive decline risk as inexpensive and effective screening tools to facilitate objective diagnosis, monitor disease progression, and guide personalized treatment interventions. Operationalizing NEUROSCREEN is expected to result in reduced healthcare costs and improving quality of life at national and later, global scales.
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Affiliation(s)
- Mohammad Nami
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA.,Neuroscience Center, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), City of Knowledge, Panama.,Department of Neuroscience, School of Advanced Medical Sciences and Technologies, and Dana Brain Health Institute, Shiraz University of Medical Sciences, Shiraz, Iran.,Inclusive Brain Health and BrainLabs International, Swiss Alternative Medicine, Geneva, Switzerland
| | - Robert Thatcher
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Applied Neuroscience, Inc., St Petersburg, FL, USA
| | - Nasser Kashou
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA
| | - Dahabada Lopes
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA
| | - Maria Lobo
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA
| | - Joe F Bolanos
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA
| | - Kevin Morris
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA
| | - Melody Sadri
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA
| | - Teshia Bustos
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA
| | - Gilberto E Sanchez
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA
| | - Alena Mohd-Yusof
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA
| | - John Fiallos
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA
| | - Justin Dye
- Department of Neurosurgery, Loma Linda University, Loma Linda, CA, USA
| | - Xiaofan Guo
- Department of Neurology, Loma Linda University, CA, USA
| | | | - Milena Asiryan
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA
| | - Alero Mayuku-Dore
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA
| | - Solventa Krakauskaite
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA
| | - Ernesto Palmero Soler
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA
| | - Steven C Cramer
- Department of Neurology, UCLA, and California Rehabilitation Institute, Los Angeles, CA, USA
| | - Walter G Besio
- Electrical Computer and Biomedical Engineering Department and Interdisciplinary Neuroscience Program, University of Rhode Island, RI, USA
| | - Antal Berenyi
- The Neuroscience Institute, New York University, New York, NY, USA
| | - Manjari Tripathi
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
| | | | | | | | - Mark Liker
- Department of Neurosurgery, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Yousef Salimpour
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | | | | | | | - Dawn S Eliashiv
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,UCLA David Geffen, School of Medicine, Department of Neurology, Los Angeles, CA, USA
| | - Robert Hariri
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA.,Celularity Corporation, Warren, NJ, USA.,Weill Cornell School of Medicine, Department of Neurosurgery, New York, NY, USA.,Brain Technology and Innovation Park, Los Angeles, CA, USA
| | - Ambooj Tiwari
- Departments of Neurology, Radiology & Neurosurgery - NYU Grossman School of Medicine, New York, NY, USA
| | - Ken Green
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA
| | - Jason Cormier
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA.,Lafayette Surgical Specialty Hospital, Lafayette, LA, USA
| | - Namath Hussain
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Department of Psychiatry, Faculty of Medicine, Uskudar University, Turkey
| | - Nevzat Tarhan
- Department of Psychiatry, Faculty of Medicine, Uskudar University, Turkey
| | - Daniel Sipple
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA.,Midwest Spine and Brain Institute, Roseville, MN, USA
| | - Michael Roy
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA.,Uniformed Services University Health Science (USUHS), Baltimore, MD, USA
| | - John S Yu
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Aaron Filler
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Institute for Nerve Medicine, Santa Monica, CA, USA.,Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Mike Chen
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Department of Neurosurgery, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Chris Wheeler
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA
| | | | - Kenneth Blum
- Division of Addiction Research, Center for Psychiatry, Medicine, and Primary Care, Western Health Sciences, Pomona, CA, USA
| | | | - Vicky Yamamoto
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA.,USC Keck School of Medicine, The USC Caruso Department of Otolaryngology-Head and Neck Surgery, Los Angeles, CA, USA.,USC-Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Babak Kateb
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.,Brain Mapping Foundation (BMF), Los Angeles, CA, USA.,Loma Linda University, Department of Neurosurgery, Loma Linda, CA, USA.,National Center for NanoBioElectronic (NCNBE), Los Angeles, CA, USA.,Brain Technology and Innovation Park, Los Angeles, CA, USA
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16
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Korfmacher AK, Hirsch O, Chavanon ML, Albrecht B, Christiansen H. Self-management training vs. neurofeedback interventions for attention deficit hyperactivity disorder: Results of a randomized controlled treatment study. Front Psychiatry 2022; 13:969351. [PMID: 36061275 PMCID: PMC9433654 DOI: 10.3389/fpsyt.2022.969351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 07/22/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES Neurofeedback (NF) and self-management training (SMT) may be viable treatment options for patients with attention deficit hyperactivity disorder (ADHD) if they alleviate core symptoms, enhance the patients' self-concept and improve their quality of life (QoL). Aim of the current study is evaluating both interventions accordingly and to test whether specific improvements in core symptoms lead to more general improvements in self-concept and QoL. METHODS In a psychotherapeutic outpatient clinic in Germany, a total of N = 139 children with ADHD were screened for eligibility, of which 111 fulfilled inclusion criteria and participated in the study in accordance with the CONSORT 2010 statement. These were randomly assigned to NF vs. SMT interventions. Changes from pre- to post-intervention in core ADHD symptoms relying on parent and teacher reports (CONNERS 3) and objective tests (Qb-Test) as well as self-concept (interview with the children) and QoL assessments (using the KINDL-R self-report) were compared between patients receiving NF or SMT. RESULTS Significant improvements in ADHD symptoms were achieved similarly in both treatment groups, whilst QoL and self-concept improved after SMT only. CONCLUSION This treatment study provides further evidence that SMT and NF may reduce core symptoms, but SMT may also improve patients' self-concept and QoL and may thus in its current form be the favorable treatment option in naturalistic settings. However, several limitations of the current study implicate that further research is required before definitive conclusions and recommendations for clinical practice can be given. CLINICAL TRIAL REGISTRATION [www.clinicaltrials.gov], identifier [NCT01879644].
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Affiliation(s)
- Ann-Kathrin Korfmacher
- Clinical Child and Adolescent Psychology, Department of Psychology, Philipps-University Marburg, Marburg, Germany
| | - Oliver Hirsch
- Department of Psychology, FOM University of Applied Sciences, Siegen, Germany
| | - Mira-Lynn Chavanon
- Clinical Child and Adolescent Psychology, Department of Psychology, Philipps-University Marburg, Marburg, Germany
| | - Björn Albrecht
- Clinical Child and Adolescent Psychology, Department of Psychology, Philipps-University Marburg, Marburg, Germany
| | - Hanna Christiansen
- Clinical Child and Adolescent Psychology, Department of Psychology, Philipps-University Marburg, Marburg, Germany
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17
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Editorial: Clinical Neurofeedback. NEUROIMAGE: CLINICAL 2022; 35:102905. [PMID: 34866039 PMCID: PMC9421443 DOI: 10.1016/j.nicl.2021.102905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
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18
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Krepel N, van Dijk H, Sack AT, Swatzyna RJ, Arns M. To spindle or not to spindle: A replication study into spindling excessive beta as a transdiagnostic EEG feature associated with impulse control. Biol Psychol 2021; 165:108188. [PMID: 34517068 DOI: 10.1016/j.biopsycho.2021.108188] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 07/07/2021] [Accepted: 09/07/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Frontocentral Spindling Excessive Beta (SEB), a spindle-like beta-activity observed in the electroencephalogram (EEG), has been transdiagnostically associated with more problems with impulse control and sleep maintenance. The current study aims to replicate and elaborate on these findings. METHODS Participants reporting sleep problems (n = 31) or Attention-Deficit/Hyperactivity Disorder (ADHD) symptoms (n = 48) were included. Baseline ADHD-Rating Scale (ADHD-RS), Pittsburgh Sleep Quality Index (PSQI), Holland Sleep Disorder Questionnaire (HSDQ), and EEG were assessed. Analyses were confined to adults with frontocentral SEB. RESULTS Main effects of SEB showed more impulse control problems (d = 0.87) and false positive errors (d = 0.55) in participants with SEB. No significant associations with sleep or interactions with Sample were observed. DISCUSSION This study partially replicates an earlier study and demonstrates that participants exhibiting SEB report more impulse control problems, independent of diagnosis. Future studies should focus on automating SEB classification and further investigate the transdiagnostic nature of SEB.
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Affiliation(s)
- Noralie Krepel
- Dept. of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands; Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, The Netherlands
| | - Hanneke van Dijk
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, The Netherlands; Amsterdam UMC, University of Amsterdam, Department of Psychiatry (Location AMC), Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Alexander T Sack
- Dept. of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Ronald J Swatzyna
- Houston Neuroscience Brain Center, Houston, TX, USA; Clinical NeuroAnalytics, 1307 Oceanside Lane, League City, TX 77573, USA
| | - Martijn Arns
- Dept. of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands; Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, The Netherlands; Amsterdam UMC, University of Amsterdam, Department of Psychiatry (Location AMC), Amsterdam Neuroscience, Amsterdam, The Netherlands.
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19
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Deiber MP, Ammann C, Hasler R, Colin J, Perroud N, Ros T. Electrophysiological correlates of improved executive function following EEG neurofeedback in adult attention deficit hyperactivity disorder. Clin Neurophysiol 2021; 132:1937-1946. [PMID: 34153722 DOI: 10.1016/j.clinph.2021.05.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 04/13/2021] [Accepted: 05/17/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Event-related potentials (ERPs) are reported to be altered in relation to cognitive processing deficits in attention deficit hyperactivity disorder (ADHD). However, this evidence is mostly limited to cross-sectional data. The current study utilized neurofeedback (NFB) as a neuromodulatory tool to examine the ERP correlates of attentional and inhibitory processes in adult ADHD using a single-session, within-subject design. METHODS We recorded high-density EEG in 25 adult ADHD patients and 22 neurotypical controls during a Go/NoGo task, before and after a 30-minute NFB session designed to down-regulate the alpha (8-12 Hz) rhythm. RESULTS At baseline, ADHD patients demonstrated impaired Go/NoGo performance compared to controls, while Go-P3 amplitude inversely correlated with ADHD-associated symptomatology in childhood. Post NFB, task performance improved in both groups, significantly enhancing stimulus detectability (d-prime) and reducing reaction time variability, while increasing N1 and P3 ERP component amplitudes. Specifically for ADHD patients, the pre-to-post enhancement in Go-P3 amplitude correlated with measures of improved executive function, i.e., enhanced d-prime, reduced omission errors and reduced reaction time variability. CONCLUSIONS A single-session of alpha down-regulation NFB was able to reverse the abnormal neurocognitive signatures of adult ADHD during a Go/NoGo task. SIGNIFICANCE The study demonstrates for the first time the beneficial neurobehavioral effect of a single NFB session in adult ADHD, and reinforces the notion that ERPs could serve as useful diagnostic/prognostic markers of executive dysfunction.
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Affiliation(s)
- Marie-Pierre Deiber
- Division of Psychiatric Specialties, Department of Psychiatry, University Hospitals of Geneva, Geneva, Switzerland; Department of Psychiatry, University of Geneva, Geneva, Switzerland; Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland.
| | - Camille Ammann
- Geneva Medical Center, University of Geneva, Geneva, Switzerland
| | - Roland Hasler
- Division of Psychiatric Specialties, Department of Psychiatry, University Hospitals of Geneva, Geneva, Switzerland
| | - Julien Colin
- Geneva Medical Center, University of Geneva, Geneva, Switzerland
| | - Nader Perroud
- Division of Psychiatric Specialties, Department of Psychiatry, University Hospitals of Geneva, Geneva, Switzerland; Department of Psychiatry, University of Geneva, Geneva, Switzerland; Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Tomas Ros
- Department of Psychiatry, University of Geneva, Geneva, Switzerland; Centre for Biomedical Imaging (CIBM) Lausanne-Geneva, Geneva, Switzerland; Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland
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20
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Kopańska M, Banaś-Ząbczyk A, Łagowska A, Kuduk B, Szczygielski J. Changes in EEG Recordings in COVID-19 Patients as a Basis for More Accurate QEEG Diagnostics and EEG Neurofeedback Therapy: A Systematic Review. J Clin Med 2021; 10:jcm10061300. [PMID: 33809957 PMCID: PMC8004106 DOI: 10.3390/jcm10061300] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 03/05/2021] [Accepted: 03/10/2021] [Indexed: 01/11/2023] Open
Abstract
INTRODUCTION AND PURPOSE The SARS-CoV-2 virus is able to cause abnormalities in the functioning of the nervous system and induce neurological symptoms with the features of encephalopathy, disturbances of consciousness and concentration and a reduced ability to sense taste and smell as well as headaches. One of the methods of detecting these types of changes in COVID-19 patients is an electroencephalogram (EEG) test, which allows information to be obtained about the functioning of the brain as well as diagnosing diseases and predicting their consequences. The aim of the study was to review the latest research on changes in EEG in patients with COVID-19 as a basis for further quantitative electroencephalogram (QEEG) diagnostics and EEG neurofeedback training. Description of the state of knowledge: Based on the available scientific literature using the PubMed database from 2020 and early 2021 regarding changes in the EEG records in patients with COVID-19, 17 publications were included in the analysis. In patients who underwent an EEG test, changes in the frontal area were observed. A few patients were not found to be responsive to external stimuli. Additionally, a previously non-emerging, uncommon pattern in the form of continuous, slightly asymmetric, monomorphic, biphasic and slow delta waves occurred. CONCLUSION The results of this analysis clearly indicate that the SARS-CoV-2 virus causes changes in the nervous system that can be manifested and detected in the EEG record. The small number of available articles, the small number of research groups and the lack of control groups suggest the need for further research regarding the short and long term neurological effects of the SARS-CoV-2 virus and the need for unquestionable confirmation that observed changes were caused by the virus per se and did not occur before. The presented studies described non-specific patterns appearing in encephalograms in patients with COVID-19. These observations are the basis for more accurate QEEG diagnostics and EEG neurofeedback training.
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Affiliation(s)
- Marta Kopańska
- Department of Pathophysiology, Institute of Medical Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland
- Correspondence:
| | - Agnieszka Banaś-Ząbczyk
- Department of Biology, Institute of Medical Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland;
| | - Anna Łagowska
- Student Research Club “Reh-Tech”, Medical College of Rzeszow University, 35-959 Rzeszow, Poland; (A.Ł.); (B.K.)
| | - Barbara Kuduk
- Student Research Club “Reh-Tech”, Medical College of Rzeszow University, 35-959 Rzeszow, Poland; (A.Ł.); (B.K.)
| | - Jacek Szczygielski
- Department of Neurosurgery, Institute of Medical Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland
- Department of Neurosurgery, Faculty of Medicine, Saarland University, 06841 Saarbrücken, Germany;
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21
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ADHD: Reviewing the Causes and Evaluating Solutions. J Pers Med 2021; 11:jpm11030166. [PMID: 33804365 PMCID: PMC7999417 DOI: 10.3390/jpm11030166] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 02/05/2021] [Accepted: 02/23/2021] [Indexed: 12/11/2022] Open
Abstract
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder in which patients present inattention, hyperactivity, and impulsivity. The etiology of this condition is diverse, including environmental factors and the presence of variants of some genes. However, a great diversity exists among patients regarding the presence of these ADHD-associated factors. Moreover, there are variations in the reported neurophysiological correlates of ADHD. ADHD is often treated pharmacologically, producing an improvement in symptomatology, albeit there are patients who are refractory to the main pharmacological treatments or present side effects to these drugs, highlighting the importance of developing other therapeutic options. Different non-pharmacological treatments are in this review addressed, finding diverse results regarding efficacy. Altogether, ADHD is associated with different etiologies, all of them producing changes in brain development, leading to the characteristic symptomatology of this condition. Given the heterogeneous etiology of ADHD, discussion is presented about the convenience of personalizing ADHD treatment, whether pharmacological or non-pharmacological, to reach an optimum effect in the majority of patients. Approaches to personalizing both pharmacological therapy and neurofeedback are presented.
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Individual Alpha Peak Frequency, an Important Biomarker for Live Z-Score Training Neurofeedback in Adolescents with Learning Disabilities. Brain Sci 2021; 11:brainsci11020167. [PMID: 33525458 PMCID: PMC7911657 DOI: 10.3390/brainsci11020167] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 01/22/2021] [Accepted: 01/24/2021] [Indexed: 01/19/2023] Open
Abstract
Learning disabilities (LDs) have an estimated prevalence between 5% and 9% in the pediatric population and are associated with difficulties in reading, arithmetic, and writing. Previous electroencephalography (EEG) research has reported a lag in alpha-band development in specific LD phenotypes, which seems to offer a possible explanation for differences in EEG maturation. In this study, 40 adolescents aged 10–15 years with LDs underwent 10 sessions of Live Z-Score Training Neurofeedback (LZT-NF) Training to improve their cognition and behavior. Based on the individual alpha peak frequency (i-APF) values from the spectrogram, a group with normal i-APF (ni-APF) and a group with low i-APF (li-APF) were compared in a pre-and-post-LZT-NF intervention. There were no statistical differences in age, gender, or the distribution of LDs between the groups. The li-APF group showed a higher theta absolute power in P4 (p = 0.016) at baseline and higher Hi-Beta absolute power in F3 (p = 0.007) post-treatment compared with the ni-APF group. In both groups, extreme waves (absolute Z-score of ≥1.5) were more likely to move toward the normative values, with better results in the ni-APF group. Conversely, the waves within the normal range at baseline were more likely to move out of the range after treatment in the li-APF group. Our results provide evidence of a viable biomarker for identifying optimal responders for the LZT-NF technique based on the i-APF metric reflecting the patient’s neurophysiological individuality.
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23
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Garcia Pimenta M, Brown T, Arns M, Enriquez-Geppert S. Treatment Efficacy and Clinical Effectiveness of EEG Neurofeedback as a Personalized and Multimodal Treatment in ADHD: A Critical Review. Neuropsychiatr Dis Treat 2021; 17:637-648. [PMID: 33658785 PMCID: PMC7920604 DOI: 10.2147/ndt.s251547] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 01/28/2021] [Indexed: 11/23/2022] Open
Abstract
PURPOSE Recent reviews have proposed that scientifically validated standard EEG neurofeedback (NF) protocols are an efficacious and specific treatment for attention-deficit hyperactivity disorder (ADHD). Here, we review the current evidence for the treatment efficacy and clinical effectiveness of NF in ADHD to investigate whether NF treatment personalization (standard protocols matched to the electrophysiological features of ADHD) and combination with other interventions (psychosocial, sleep hygiene and nutritional advice) might yield superior long-term treatment outcomes relative to non-personalized NF and medication monotreatments. METHODS The electronic databases PubMed and PsycINFO were systematically searched using our key terms. Of the 38 resulting studies, 11 randomized controlled trials (RCTs) and open-label studies were eligible for inclusion. Studies were analyzed for effect sizes and remission rates at the end of treatment and at follow-up. The effects of personalized and multimodal NF treatments were compared to non-personalized NF monotreatments and with two benchmark medication studies. RESULTS The analysis of RCTs indicated that the long-term effects of personalized NF interventions were superior to non-personalized NF and comparable to those of medication alone or in combination with behavioral intervention. The analysis of open-label trials further indicates that the interaction of NF with parental interventions, sleep and nutritional advice might yield superior clinical effectiveness relative to NF and medication monotreatments. CONCLUSION Personalized and multimodal NF interventions seem to yield superior treatment efficacy relative to NF alone and superior clinical effectiveness relative to medication. We propose that treatment outcomes may be further enhanced by adjusting NF non-specific factors (eg, reinforcement contingencies) to specific ADHD characteristics (eg, reward sensitivity). Future NF research should focus on the systematic evaluation of the treatment outcomes of personalized and multimodal treatments.
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Affiliation(s)
- Miguel Garcia Pimenta
- Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, the Netherlands
| | | | - Martijn Arns
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Location AMC, Amsterdam Neuroscience, Amsterdam, the Netherlands.,Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, the Netherlands.,Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Stefanie Enriquez-Geppert
- Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, the Netherlands.,Department of Biomedical Sciences of Cells & Systems, Section of Cognitive Neuropsychiatry, University of Groningen, Groningen, the Netherlands
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24
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Dedoncker J, Baeken C, De Raedt R, Vanderhasselt MA. Combined transcranial direct current stimulation and psychological interventions: State of the art and promising perspectives for clinical psychology. Biol Psychol 2020; 158:107991. [PMID: 33232800 DOI: 10.1016/j.biopsycho.2020.107991] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 10/14/2020] [Accepted: 11/15/2020] [Indexed: 12/14/2022]
Abstract
Recent literature shows great heterogeneity in the reported efficacy of transcranial direct current stimulation (tDCS) as a stand-alone psychiatric treatment. Aiming to increase its efficacy, tDCS has been combined with psychological interventions. Our state-of-the-art overview of such combined treatment trials indicates, however, that these usually do not elicit synergistic clinical effects. We therefore explored more basic mechanisms related to the brain state-dependency of tDCS. Importantly, based on our overview, the efficacy of combined interventions may depend on whether individual patients present with endophenotypes that are implicated in the development and maintenance of psychopathology, such as prefrontal-mediated cognitive dysfunction. We discuss how future studies may contribute to the development of personally-tailored dual active treatments by adhering to the Research Domain Criteria (RDoC) framework. RDoC-based mechanistic research may reveal alternative neural circuits that should be functionally targeted by both tDCS and psychological interventions, with promising avenues for clinical psychological science and practice.
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Affiliation(s)
- Josefien Dedoncker
- Department of Head and Skin - Psychiatry and Medical Psychology, Ghent University Hospital, Ghent, Belgium; Ghent Experimental Psychiatry (GHEP) Lab, Ghent, Belgium.
| | - Chris Baeken
- Department of Head and Skin - Psychiatry and Medical Psychology, Ghent University Hospital, Ghent, Belgium; Ghent Experimental Psychiatry (GHEP) Lab, Ghent, Belgium; Department of Psychiatry, University Hospital UZBrussel, Brussels, Belgium; Eindhoven University of Technology, Department of Electrical Engineering, Eindhoven, the Netherlands
| | - Rudi De Raedt
- Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Marie-Anne Vanderhasselt
- Department of Head and Skin - Psychiatry and Medical Psychology, Ghent University Hospital, Ghent, Belgium; Ghent Experimental Psychiatry (GHEP) Lab, Ghent, Belgium; Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
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