{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["38(6)"],"submitter":["Bhadra K"],"funding":["University of Geneva"],"pubmed_abstract":["Avoidant/Restrictive Food Intake Disorder (ARFID) is a psychiatric condition characterized by extreme food avoidance and limited food intake, leading to nutritional deficiencies, weight loss, and and/or social impairment. Despite its clinical significance, there is a notable lack of research on the neurobiological basis of ARFID. To address this gap, we examined resting-state EEG brain activity in children and adolescents with ARFID, using microstate analysis to capture spatial configurations associated with large-scale brain networks, offering a novel perspective on brain network abnormalities in this population. Eighteen patients with full/subthreshold ARFID (mean age 12.78 ± 3.57) were compared to 18 age- and sex-matched healthy controls (HC) (mean age 14.56 ± 2.85). EEG data were recor"],"journal":["Brain topography"],"pagination":["73"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12479596"],"repository":["biostudies-literature"],"pubmed_title":["EEG Resting-state Microstate Dynamics in Children and Adolescents with Avoidant/Restrictive Food Intake Disorder (ARFID)."],"pmcid":["PMC12479596"],"pubmed_authors":["Bhadra K","Janakiram AA","Huppi PS","Berchio C","Marco S","Micali N"],"additional_accession":[]},"is_claimable":false,"name":"EEG Resting-state Microstate Dynamics in Children and Adolescents with Avoidant/Restrictive Food Intake Disorder (ARFID).","description":"Avoidant/Restrictive Food Intake Disorder (ARFID) is a psychiatric condition characterized by extreme food avoidance and limited food intake, leading to nutritional deficiencies, weight loss, and and/or social impairment. Despite its clinical significance, there is a notable lack of research on the neurobiological basis of ARFID. To address this gap, we examined resting-state EEG brain activity in children and adolescents with ARFID, using microstate analysis to capture spatial configurations associated with large-scale brain networks, offering a novel perspective on brain network abnormalities in this population. Eighteen patients with full/subthreshold ARFID (mean age 12.78 ± 3.57) were compared to 18 age- and sex-matched healthy controls (HC) (mean age 14.56 ± 2.85). EEG data were recor","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Sep","modification":"2026-06-06T13:36:17.944Z","creation":"2026-05-31T03:07:49.079Z"},"accession":"S-EPMC12479596","cross_references":{"pubmed":["41023423"],"doi":["10.1007/s10548-025-01149-4"]}}