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EEG Resting-state Microstate Dynamics in Children and Adolescents with Avoidant/Restrictive Food Intake Disorder
Kinkini Bhadra1, Antony A Janakiram2, Savoia Marco3
1Division of Development & Growth, Department of Pediatrics, Gynecology and Obstetrics, Faculty of Medicine, University of Geneva, Geneva, Switzerland. kinkini.bhadra@unige.ch.
Brain Topography
|September 30, 2025
Summary
Children with Avoidant/Restrictive Food Intake Disorder (ARFID) show distinct brain activity patterns. This study reveals altered brain network dynamics, offering insights into the neurobiology of ARFID.
Area of Science:
- Neuroscience
- Psychiatry
- Developmental Psychology
Background:
- Avoidant/Restrictive Food Intake Disorder (ARFID) significantly impacts children and adolescents, causing nutritional issues and social impairment.
- The neurobiological underpinnings of ARFID remain largely unexplored, hindering targeted interventions.
- Understanding brain network dynamics is crucial for elucidating ARFID's pathophysiology.
Purpose of the Study:
- To investigate resting-state electroencephalography (EEG) brain activity in children and adolescents with ARFID.
- To utilize microstate analysis for novel insights into brain network abnormalities in ARFID.
- To identify neurophysiological markers associated with ARFID.
Main Methods:
- Resting-state EEG data were collected from 18 children/adolescents with ARFID and 18 age/sex-matched healthy controls (HC).
- Microstate analysis was employed to examine spatial configurations of large-scale brain networks.
- Source imaging was used to pinpoint regional brain activation differences.
Main Results:
- The ARFID group exhibited significantly longer mean durations of microstate Map C compared to HC (p=0.003).
- Trends indicated decreased B-to-A and increased B-to-C transition probabilities in ARFID.
- Increased right posterior cingulate cortex and decreased right inferior occipital cortex activation were observed in ARFID.
Conclusions:
- Distinct patterns of brain activity, particularly involving microstate C, suggest atypical Default Mode Network functioning in ARFID.
- Altered brain network dynamics provide preliminary evidence for the neurobiological basis of ARFID.
- Findings may inform the development of neurophysiological interventions for ARFID.
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