Self-Regulation of Attention in Children in a Virtual Classroom Environment: A Feasibility Study.

EEG-neurofeedback attention attention deficit hyperactive disorder fMRI theta/beta ratio virtual reality

Journal

Bioengineering (Basel, Switzerland)
ISSN: 2306-5354
Titre abrégé: Bioengineering (Basel)
Pays: Switzerland
ID NLM: 101676056

Informations de publication

Date de publication:
24 Nov 2023
Historique:
received: 26 10 2023
revised: 17 11 2023
accepted: 23 11 2023
medline: 23 12 2023
pubmed: 23 12 2023
entrez: 23 12 2023
Statut: epublish

Résumé

Attention is a crucial cognitive function that enables us to selectively focus on relevant information from the surrounding world to achieve our goals. Impairments in sustained attention pose challenges, particularly in children with attention deficit hyperactivity disorder, a neurodevelopmental disorder characterized by impulsive and inattentive behavior. While psychostimulant medications are the most effective ADHD treatment, they often yield unwanted side effects, making it crucial to explore non-pharmacological treatments. We propose a groundbreaking protocol that combines electroencephalography-based neurofeedback with virtual reality (VR) as an innovative approach to address attention deficits. By integrating a virtual classroom environment, we aim to enhance the transferability of attentional control skills while simultaneously increasing motivation and interest among children. The present study demonstrates the feasibility of this approach through an initial assessment involving a small group of healthy children, showcasing its potential for future evaluation in ADHD children. Preliminary results indicate high engagement and positive feedback. Pre- and post-protocol assessments via EEG and fMRI recordings suggest changes in attentional function. Further validation is required, but this protocol is a significant advancement in neurofeedback therapy for ADHD. The integration of EEG-NFB and VR presents a novel avenue for enhancing attentional control and addressing behavioral challenges in children with ADHD.

Identifiants

pubmed: 38135943
pii: bioengineering10121352
doi: 10.3390/bioengineering10121352
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Swiss National Science Foundation
ID : 188769
Pays : Switzerland

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

Auteurs

Carole Guedj (C)

Swiss Center for Affective Sciences, University of Geneva, 1202 Geneva, Switzerland.
Laboratory of Behavioral Neurology and Imaging of Cognition, Department of Basic Neurosciences, University of Geneva, 1202 Geneva, Switzerland.

Rémi Tyrand (R)

Swiss Center for Affective Sciences, University of Geneva, 1202 Geneva, Switzerland.

Emmanuel Badier (E)

Swiss Center for Affective Sciences, University of Geneva, 1202 Geneva, Switzerland.

Lou Planchamp (L)

Laboratory of Behavioral Neurology and Imaging of Cognition, Department of Basic Neurosciences, University of Geneva, 1202 Geneva, Switzerland.

Madison Stringer (M)

Laboratory of Behavioral Neurology and Imaging of Cognition, Department of Basic Neurosciences, University of Geneva, 1202 Geneva, Switzerland.

Myriam Ophelia Zimmermann (MO)

Laboratory of Behavioral Neurology and Imaging of Cognition, Department of Basic Neurosciences, University of Geneva, 1202 Geneva, Switzerland.

Victor Férat (V)

Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, 1202 Geneva, Switzerland.

Russia Ha-Vinh Leuchter (R)

Division of Development and Growth, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals, 1205 Geneva, Switzerland.

Frédéric Grouiller (F)

Swiss Center for Affective Sciences, University of Geneva, 1202 Geneva, Switzerland.
Laboratory of Behavioral Neurology and Imaging of Cognition, Department of Basic Neurosciences, University of Geneva, 1202 Geneva, Switzerland.
CIBM MRI Cognitive and Affective Neuroimaging Section, Center for Biomedical Imaging, University of Geneva, 1202 Geneva, Switzerland.

Classifications MeSH