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Shojaei B, Naeim M, Kazemi Z, Taheri M, Imannezhad S, Mohammadi Y. Reducing symptoms of attention deficit/hyperactivity disorder (ADHD) in elementary students: the effectiveness of neurofeedback. Ann Med Surg (Lond) 2024; 86:2651-2656. [PMID: 38694339 PMCID: PMC11060259 DOI: 10.1097/ms9.0000000000001861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 02/14/2024] [Indexed: 05/04/2024] Open
Abstract
Introduction and importance This research was conducted to investigate the effectiveness of neurofeedback on the symptoms of hyperactivity and attention deficit in primary school students with attention deficit/hyperactivity disorder (ADHD) disorder. Case presentation The present study utilized a randomized clinical trial with pre-test and post-test measurements and included a control group. The research population included all primary school students with ADHD in 2023; 50 of these children were selected as the experimental group based on the accessible sampling method, and 50 were also included in the control group. Neurofeedback treatment sessions for the experimental group were 30 sessions. Research data were collected in three stages: pre-test and post-test, using a questionnaire based on the Conners rating scale from parents. SPSS-25 analyzed the data. Clinical discussion The results showed that neurofeedback is associated with significant effectiveness in the symptoms of attention deficit disorder and hyperactivity of students (P<0.05). Conclusion Based on the findings of this research, it can be said that neurofeedback treatment is effective in reducing attention deficit and hyperactivity symptoms of students with ADHD disorder. It is suggested to widely use neurofeedback to reduce the symptoms of attention deficit and hyperactivity disorder.
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Affiliation(s)
- Behnaz Shojaei
- Department of Midwifery, Faculty of Nursing and Midwifery, Kerman Branch, Islamic Azad University, Kerman
| | - Mahdi Naeim
- Department of Research, Psychology and Counselling Organization, Tehran
| | - Zahra Kazemi
- Department of Research, Psychology and Counselling Organization, Tehran
| | - Mostafa Taheri
- Department of Critical Care and Emergency Nursing, Zanjan Nursing and Midwifery School, Zanjan University of Medical Sciences, Zanjan
| | - Shima Imannezhad
- Department of Pediatrics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad
| | - Yasaman Mohammadi
- School of Dentistry, Shiraz Branch, Islamic Azad University, Shiraz, Iran
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Del Lucchese B, Parravicini S, Filogna S, Mangani G, Beani E, Di Lieto MC, Bardoni A, Bertamino M, Papini M, Tacchino C, Fedeli F, Cioni G, Sgandurra G. The wide world of technological telerehabilitation for pediatric neurologic and neurodevelopmental disorders - a systematic review. Front Public Health 2024; 12:1295273. [PMID: 38694988 PMCID: PMC11061864 DOI: 10.3389/fpubh.2024.1295273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 03/08/2024] [Indexed: 05/04/2024] Open
Abstract
Introduction The use of Information and Communication Technology (ICT) for assessing and treating cognitive and motor disorders is promoting home-based telerehabilitation. This approach involves ongoing monitoring within a motivating context to help patients generalize their skills. It can also reduce healthcare costs and geographic barriers by minimizing hospitalization. This systematic review focuses on investigating key aspects of telerehabilitation protocols for children with neurodevelopmental or neurological disorders, including technology used, outcomes, caregiver involvement, and dosage, to guide clinical practice and future research. Method This systematic review adhered to PRISMA guidelines and was registered in PROSPERO. The PICO framework was followed to define the search strategy for technology-based telerehabilitation interventions targeting the pediatric population (aged 0-18) with neurological or neurodevelopmental disorders. The search encompassed Medline/PubMed, EMBASE, and Web of Science databases. Independent reviewers were responsible for selecting relevant papers and extracting data, while data harmonization and analysis were conducted centrally. Results A heterogeneous and evolving situation emerged from our data. Our findings reported that most of the technologies adopted for telerehabilitation are commercial devices; however, research prototypes and clinical software were also employed with a high potential for personalization and treatment efficacy. The efficacy of these protocols on health or health-related domains was also explored by categorizing the outcome measures according to the International Classification of Functioning, Disability, and Health (ICF). Most studies targeted motor and neuropsychological functions, while only a minority of papers explored language or multi-domain protocols. Finally, although caregivers were rarely the direct target of intervention, their role was diffusely highlighted as a critical element of the home-based rehabilitation setting. Discussion This systematic review offers insights into the integration of technological devices into telerehabilitation programs for pediatric neurologic and neurodevelopmental disorders. It highlights factors contributing to the effectiveness of these interventions and suggests the need for further development, particularly in creating dynamic and multi-domain rehabilitation protocols. Additionally, it emphasizes the importance of promoting home-based and family-centered care, which could involve caregivers more actively in the treatment, potentially leading to improved clinical outcomes for children with neurological or neurodevelopmental conditions. Systematic review registration PROSPERO (CRD42020210663).
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Affiliation(s)
- Benedetta Del Lucchese
- Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris Foundation, Pisa, Italy
| | - Stefano Parravicini
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Pediatric Neuroscience Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Silvia Filogna
- Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris Foundation, Pisa, Italy
| | - Gloria Mangani
- Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris Foundation, Pisa, Italy
| | - Elena Beani
- Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris Foundation, Pisa, Italy
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Maria Chiara Di Lieto
- Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris Foundation, Pisa, Italy
| | | | - Marta Bertamino
- Physical Medicine and Rehabilitation Unit, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | - Marta Papini
- Scientific Institute, IRCCS E. Medea, Lecco, Italy
| | - Chiara Tacchino
- Physical Medicine and Rehabilitation Unit, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | | | - Giovanni Cioni
- Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris Foundation, Pisa, Italy
| | - Giuseppina Sgandurra
- Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris Foundation, Pisa, Italy
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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3
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Tosti B, Corrado S, Mancone S, Di Libero T, Rodio A, Andrade A, Diotaiuti P. Integrated use of biofeedback and neurofeedback techniques in treating pathological conditions and improving performance: a narrative review. Front Neurosci 2024; 18:1358481. [PMID: 38567285 PMCID: PMC10985214 DOI: 10.3389/fnins.2024.1358481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 03/01/2024] [Indexed: 04/04/2024] Open
Abstract
In recent years, the scientific community has begun tо explore the efficacy оf an integrated neurofeedback + biofeedback approach іn various conditions, both pathological and non-pathological. Although several studies have contributed valuable insights into its potential benefits, this review aims tо further investigate its effectiveness by synthesizing current findings and identifying areas for future research. Our goal іs tо provide a comprehensive overview that may highlight gaps іn the existing literature and propose directions for subsequent studies. The search for articles was conducted on the digital databases PubMed, Scopus, and Web of Science. Studies to have used the integrated neurofeedback + biofeedback approach published between 2014 and 2023 and reviews to have analyzed the efficacy of neurofeedback and biofeedback, separately, related to the same time interval and topics were selected. The search identified five studies compatible with the objectives of the review, related to several conditions: nicotine addiction, sports performance, Autism Spectrum Disorder (ASD), and Attention Deficit Hyperactivity Disorder (ADHD). The integrated neurofeedback + biofeedback approach has been shown to be effective in improving several aspects of these conditions, such as a reduction in the presence of psychiatric symptoms, anxiety, depression, and withdrawal symptoms and an increase in self-esteem in smokers; improvements in communication, imitation, social/cognitive awareness, and social behavior in ASD subjects; improvements in attention, alertness, and reaction time in sports champions; and improvements in attention and inhibitory control in ADHD subjects. Further research, characterized by greater methodological rigor, is therefore needed to determine the effectiveness of this method and the superiority, if any, of this type of training over the single administration of either. This review іs intended tо serve as a catalyst for future research, signaling promising directions for the advancement оf biofeedback and neurofeedback methodologies.
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Affiliation(s)
- Beatrice Tosti
- Department of Human Sciences, Society and Health, University of Cassino, Cassino, Lazio, Italy
| | - Stefano Corrado
- Department of Human Sciences, Society and Health, University of Cassino, Cassino, Lazio, Italy
| | - Stefania Mancone
- Department of Human Sciences, Society and Health, University of Cassino, Cassino, Lazio, Italy
| | - Tommaso Di Libero
- Department of Human Sciences, Society and Health, University of Cassino, Cassino, Lazio, Italy
| | - Angelo Rodio
- Department of Human Sciences, Society and Health, University of Cassino, Cassino, Lazio, Italy
| | - Alexandro Andrade
- Department of Physical Education, CEFID, Santa Catarina State University, Florianopolis, Santa Catarina, Brazil
| | - Pierluigi Diotaiuti
- Department of Human Sciences, Society and Health, University of Cassino, Cassino, Lazio, Italy
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4
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Khalid UB, Naeem M, Stasolla F, Syed MH, Abbas M, Coronato A. Impact of AI-Powered Solutions in Rehabilitation Process: Recent Improvements and Future Trends. Int J Gen Med 2024; 17:943-969. [PMID: 38495919 PMCID: PMC10944308 DOI: 10.2147/ijgm.s453903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/05/2024] [Indexed: 03/19/2024] Open
Abstract
Rehabilitation is an important and necessary part of local and global healthcare services along with treatment and palliative care, prevention of disease, and promotion of good health. The rehabilitation process helps older and young adults even children to become as independent as possible in activities of daily life and enables participation in useful living activities, recreation, work, and education. The technology of Artificial Intelligence (AI) has evolved significantly in recent years. Many activities related to rehabilitation have been getting benefits from using AI techniques. The objective of this review study is to explore the advantages of AI for rehabilitation and how AI is impacting the rehabilitation process. This study aims at the most critical aspects of the rehabilitation process that could potentially take advantage of AI techniques including personalized rehabilitation apps, rehabilitation through assistance, rehabilitation for neurological disorders, rehabilitation for developmental disorders, virtual reality rehabilitation, rehabilitation of neurodegenerative diseases and Telerehabilitation of Cardiovascular. We presented a survey on the newest empirical studies available in the literature including the AI-based technology helpful in the Rehabilitation process. The novelty feature included but was not limited to an overview of the technological solutions useful in rehabilitation. Seven different categories were identified. Illustrative examples of practical applications were detailed. Implications of the findings for both research and practice were critically discussed. Most of the AI applications in these rehabilitation types are in their infancy and continue to grow while exploring new opportunities. Therefore, we investigate the role of AI technology in rehabilitation processes. In addition, we do statistical analysis of the selected studies to highlight the significance of this review work. In the end, we also present a discussion on some challenges, and future research directions.
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Affiliation(s)
- Umamah bint Khalid
- Department of Electronics, Quaid-I-Azam University, Islamabad, 44000, Pakistan
| | - Muddasar Naeem
- Research Center on ICT Technologies for Healthcare and Wellbeing, Università Telematica “Giustino Fortunato”, Benevento, 82100, Italy
| | - Fabrizio Stasolla
- Research Center on ICT Technologies for Healthcare and Wellbeing, Università Telematica “Giustino Fortunato”, Benevento, 82100, Italy
| | - Madiha Haider Syed
- Department of Electronics, Quaid-I-Azam University, Islamabad, 44000, Pakistan
- Institute of Information Technology, Quaid-i-Azam University, Islamabad, 44000, Pakistan
| | - Musarat Abbas
- Department of Electronics, Quaid-I-Azam University, Islamabad, 44000, Pakistan
| | - Antonio Coronato
- Research Center on ICT Technologies for Healthcare and Wellbeing, Università Telematica “Giustino Fortunato”, Benevento, 82100, Italy
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Chen JW, Zhu K. Single Exercise for Core Symptoms and Executive Functions in ADHD: A Systematic Review and Meta-Analysis. J Atten Disord 2024; 28:399-414. [PMID: 38156611 DOI: 10.1177/10870547231217321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
OBJECTIVES A systematic review and meta-analysis of studies of single exercise on core symptoms and executive function in adolescents with ADHD. METHODS Four databases were searched for studies of the effects of single exercise on core symptoms and executive functioning in adolescents with ADHD. RESULTS Thirteen studies were included, and a single session of exercise had small effect-size improvements in core symptoms and executive function in adolescents with ADHD: 10 to 13 year olds in the early adolescent-elementary school years and 18 to 24 year olds in the late adolescent-college years. Moderate-intensity continuous training, high-intensity interval training, single sessions of less than 30 minutes, and single sessions of 30 minutes and more significantly improved cycling training, attention, inhibition, substance use, and pre-study abstinence. CONCLUSIONS A single session of exercise had an overall ameliorative effect on core symptoms and executive function in adolescents with ADHD.
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Affiliation(s)
| | - Kun Zhu
- Shanghai University of Sport, China
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Zhang DW, Johnstone SJ, Sauce B, Arns M, Sun L, Jiang H. Remote neurocognitive interventions for attention-deficit/hyperactivity disorder - Opportunities and challenges. Prog Neuropsychopharmacol Biol Psychiatry 2023; 127:110802. [PMID: 37257770 DOI: 10.1016/j.pnpbp.2023.110802] [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: 11/04/2022] [Revised: 05/23/2023] [Accepted: 05/24/2023] [Indexed: 06/02/2023]
Abstract
Improving neurocognitive functions through remote interventions has been a promising approach to developing new treatments for attention-deficit/hyperactivity disorder (AD/HD). Remote neurocognitive interventions may address the shortcomings of the current prevailing pharmacological therapies for AD/HD, e.g., side effects and access barriers. Here we review the current options for remote neurocognitive interventions to reduce AD/HD symptoms, including cognitive training, EEG neurofeedback training, transcranial electrical stimulation, and external cranial nerve stimulation. We begin with an overview of the neurocognitive deficits in AD/HD to identify the targets for developing interventions. The role of neuroplasticity in each intervention is then highlighted due to its essential role in facilitating neuropsychological adaptations. Following this, each intervention type is discussed in terms of the critical details of the intervention protocols, the role of neuroplasticity, and the available evidence. Finally, we offer suggestions for future directions in terms of optimizing the existing intervention protocols and developing novel protocols.
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Affiliation(s)
- Da-Wei Zhang
- Department of Psychology/Center for Place-Based Education, Yangzhou University, Yangzhou, China; Department of Psychology, Monash University Malaysia, Bandar Sunway, Malaysia.
| | - Stuart J Johnstone
- School of Psychology, University of Wollongong, Wollongong, Australia; Brain & Behaviour Research Institute, University of Wollongong, Australia
| | - Bruno Sauce
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Martijn Arns
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, Netherlands; Department of Experimental Psychology, Utrecht University, Utrecht, Netherlands; NeuroCare Group, Nijmegen, Netherlands
| | - Li Sun
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China; National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Han Jiang
- College of Special Education, Zhejiang Normal University, Hangzhou, China
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7
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Waltereit R, Ehrlich S, Roessner V. First-time diagnosis of ADHD in adults: challenge to retrospectively assess childhood symptoms of ADHD from long-term memory. Eur Child Adolesc Psychiatry 2023; 32:1333-1335. [PMID: 37286879 PMCID: PMC10326145 DOI: 10.1007/s00787-023-02244-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/30/2023] [Indexed: 06/09/2023]
Affiliation(s)
- Robert Waltereit
- Department of Child and Adolescent Psychiatry, LWL-Klinikum Marsberg, Bredelarer Str. 33, 34431, Marsberg, Germany
- Department of Child and Adolescent Psychiatry, University Medical Center Göttingen, Von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, University Hospital Carl Gustav Carus, TechnischeUniversität Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
| | - Veit Roessner
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, University Hospital Carl Gustav Carus, TechnischeUniversität Dresden, Fetscherstrasse 74, 01307, Dresden, Germany.
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8
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He F, Qi Y, Zhou Y, Cao A, Yue X, Fang S, Zheng Y. Meta-analysis of the efficacy of digital therapies in children with attention-deficit hyperactivity disorder. Front Psychiatry 2023; 14:1054831. [PMID: 37260755 PMCID: PMC10228751 DOI: 10.3389/fpsyt.2023.1054831] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 04/26/2023] [Indexed: 06/02/2023] Open
Abstract
Background Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder that commonly occurs in childhood. The aim of this meta-analysis was to summarize the available evidence for the efficacy of digital therapeutics in children and adolescents with ADHD. Methods We searched the MEDLINE, EMBASE, Cochrane Library (Cochrane Database of Systematic Reviews), and Web of Science (science and social science citation index) databases for relevant studies and used Stata 15.0 software to carry out the meta-analysis. Results A total of 31 studies involving 2169 participants (1665 boys and 504 girls) aged 4-17 years old were included in the final analysis. The meta-analysis results showed that digital interventions improved the symptoms of inattention with an effect value of -0.20 (95% confidence interval [CI] -0.36, -0.04) and decreased the continuous performance task (CPT) reaction time (effect, -0.40, 95% CI -0.73, -0.07) in ADHD patients. The score for impulsive hyperactivity was slightly decreased (effect, -0.07, 95% CI -0.23, 0.09). Moreover, executive function was improved (effect, 0.71, 95% CI 0.37, 1.04). The capability of working memory appeared to be increased (effect, 0.48, 95% CI 0.21, 0.76) between the two groups. Visual appraisal of the sensitivity analysis suggested the absence of heterogeneity, and no obvious publication bias was detected. Discussion Based on the existing literature evidence, we conclude that digital therapy can be a promising therapeutic strategy for ADHD patients.
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Affiliation(s)
- Fan He
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Yanjie Qi
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Yuanyue Zhou
- Department of Medical Psychology, The First Affiliated Hospital, Hainan Medical University, Haikou, Hainan, China
| | - Aihua Cao
- Qilu Hospital, Shandong University, Jinan, Shandong, China
| | - Xin Yue
- MaiDeHaiKe Technology, Beijing, China
| | - Shuanfeng Fang
- Children's Hospital Affiliated, Zhengzhou University, Zhengzhou, Henan, China
| | - Yi Zheng
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
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9
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Krell J, Dolecki PK, Todd A. School-Based Neurofeedback Training for Sustained Attention. J Atten Disord 2023:10870547231168430. [PMID: 37122234 DOI: 10.1177/10870547231168430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
OBJECTIVE To determine whether in situ neurofeedback training can be used as a tool to build sustained attention in the general student population and whether gains in attention translate to more effective work habits and learning skills. METHOD Students participated in attention training game-based neurofeedback in situ for a period of 35 sessions of 25 min each. The study was built as a one-group pretest-posttest quasi-experimental design. RESULTS This study supports that classroom-based neurofeedback may be an effective tool to build sustained attention and translate these gains into observable work habits and learning behaviors including planning and organization. CONCLUSION Neurofeedback has shown specificity in the treatment of Attention Deficit Hyperactivity Disorder. Published research has not, however, focused on its efficacy in developing attentional capacities in the general population. The promising results of this exploratory investigation warrant further applied research.
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10
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Matsuzaki Y, Nouchi R, Sakaki K, Dinet J, Kawashima R. The Effect of Cognitive Training with Neurofeedback on Cognitive Function in Healthy Adults: A Systematic Review and Meta-Analysis. Healthcare (Basel) 2023; 11:healthcare11060843. [PMID: 36981504 PMCID: PMC10048721 DOI: 10.3390/healthcare11060843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 03/01/2023] [Accepted: 03/10/2023] [Indexed: 03/15/2023] Open
Abstract
Background: Cognitive training aims to improve cognitive function through cognitive tasks or training games. Neurofeedback is a technique to monitor brain signals with either visual or auditory feedback. Previous studies suggest that a combination of cognitive training and neurofeedback has a superior effect on cognitive functions compared with cognitive training alone. However, no systematic reviews and meta-analyses of the benefits of cognitive training with neurofeedback (CTNF) exist. The purpose of this study was to examine the beneficial effects of CTNF in healthy adults using a systematic review and multilevel meta-analysis. Methods: PubMed, Scopus, PsychoINFO, and MEDLINE were searched for research papers reporting the results of interventions using CTNF. Results: After an initial screening of 234 records, three studies using near-infrared spectroscopy (NIRS) and one study using electroencephalography were extracted from the database. We performed a multi-level meta-analysis with three NIRS studies including 166 participants (mean ages ranged from 21.43 to 65.96 years). A multi-level meta-analysis revealed that CTNF has a beneficial effect on the episodic, long-term, and working memory domains. Conclusions: Although three studies were included in the systematic review and meta-analysis, our results indicate that CTNF using NIRS would lead to improvements in memory functioning.
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Affiliation(s)
- Yutaka Matsuzaki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging, and Cancer (IDAC), Tohoku University, Sendai 980-8575, Japan
- Correspondence: (Y.M.); (R.N.); Tel.: +81-22-717-7988 (Y.M.); +81-22-717-8952 (R.N.)
| | - Rui Nouchi
- Department of Cognitive Health Science, Institute of Development, Aging, and Cancer (IDAC), Tohoku University, Sendai 980-8575, Japan
- Smart Aging Research Center (S.A.R.C.), Tohoku University, Sendai 980-8575, Japan
- Correspondence: (Y.M.); (R.N.); Tel.: +81-22-717-7988 (Y.M.); +81-22-717-8952 (R.N.)
| | - Kohei Sakaki
- Department of Functional Brain Imaging, Institute of Development, Aging, and Cancer (IDAC), Tohoku University, Sendai 980-8575, Japan
| | - Jérôme Dinet
- Laboratoire Lorrain de Psychologie et Neurosciences de la Dynamique des Comportements (2LPN), Université de Lorraine, F-54000 Nancy, France
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging, and Cancer (IDAC), Tohoku University, Sendai 980-8575, Japan
- Department of Cognitive Health Science, Institute of Development, Aging, and Cancer (IDAC), Tohoku University, Sendai 980-8575, Japan
- Smart Aging Research Center (S.A.R.C.), Tohoku University, Sendai 980-8575, Japan
- Department of Functional Brain Imaging, Institute of Development, Aging, and Cancer (IDAC), Tohoku University, Sendai 980-8575, Japan
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11
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Zhang DW. Perspectives on heterogeneity-informed cognitive training for attention-deficit/hyperactivity disorder. Front Psychiatry 2023; 13:1100008. [PMID: 36713921 PMCID: PMC9878183 DOI: 10.3389/fpsyt.2022.1100008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 12/30/2022] [Indexed: 01/13/2023] Open
Abstract
Attention-deficit/hyperactivity disorder (AD/HD) is a heterogeneous neurodevelopmental condition, posing a severe threat to quality of life. Pharmacological therapies are the front-line treatment; however, their shortages encourage the development of alternative treatments for AD/HD. One promising method of developing alternative treatments is cognitive training (CT). A CT-based therapy was recently approved by the US Food and Drug Administration. However, due to heterogeneity in AD/HD, a CT protocol is unlikely to provide a one-size-fits-all solution for all patients with AD/HD. Therefore, this article highlights key aspects that need to be considered to further develop CT protocols for AD/HD, regarding training content, timing, suitability, and delivery mode. The perspectives presented here contribute to optimizing CT as an alternative option for treating AD/HD.
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Affiliation(s)
- Da-Wei Zhang
- Department of Psychology and Center for Place-Based Education, Yangzhou University, Yangzhou, China
- Department of Psychology, Monash University Malaysia, Bandar Sunway, Malaysia
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12
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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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