EEG Resting-state Microstate Dynamics in Children and Adolescents with Avoidant/Restrictive Food Intake Disorder (ARFID).

IF 2.9 3区 医学 Q3 CLINICAL NEUROLOGY
Kinkini Bhadra, Antony A Janakiram, Savoia Marco, Nadia Micali, Petra S Hüppi, Cristina Berchio
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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 recorded during eyes-closed resting-state and examined using microstate analysis. Four microstate maps were identified (A, B, C, D). Significant differences were observed between groups for Map C, with the ARFID group showing higher values for mean duration compared to the HC group (U = 254, p = 0.003). Additionally, a trend towards decreased transition probabilities from microstate B to A (p = 0.018) and increased transition probabilities from B to C (p = 0.023) were found in ARFID. Source imaging analyses further revealed increased activation in the right posterior cingulate cortex (p = 0.005) and decreased activation in the right inferior occipital cortex (p = 0.003) in the ARFID group compared to HC. These results suggest distinct patterns of brain activity in children and adolescents with ARFID, particularly involving microstate C, which may reflect atypical Default Mode Network functioning. This study provides preliminary evidence of altered brain network dynamics in ARFID, contributing to a better understanding of its neurobiological basis and offering potential avenues for neurophysiological interventions.

儿童和青少年回避/限制性食物摄入障碍(ARFID)的脑电图静息状态微状态动力学。
回避/限制性食物摄入障碍(ARFID)是一种精神疾病,其特征是极度回避食物和限制食物摄入,导致营养缺乏、体重减轻和/或社交障碍。尽管ARFID具有临床意义,但对其神经生物学基础的研究明显缺乏。为了解决这一差距,我们研究了患有ARFID的儿童和青少年的静息状态脑电图脑活动,使用微状态分析来捕捉与大规模脑网络相关的空间配置,为这一人群的脑网络异常提供了一种新的视角。18例完全/阈下ARFID患者(平均年龄12.78±3.57)与18例年龄和性别匹配的健康对照(HC)(平均年龄14.56±2.85)进行比较。在闭眼静息状态下记录脑电图数据,并进行微态分析。确定了4个微观状态图(A, B, C, D)。Map C组间存在显著差异,ARFID组的平均持续时间高于HC组(U = 254, p = 0.003)。此外,ARFID发现从微态B到a的过渡概率降低(p = 0.018),从微态B到C的过渡概率增加(p = 0.023)。源成像分析进一步显示,与HC相比,ARFID组右侧后扣带皮层的激活增加(p = 0.005),右侧枕下皮层的激活减少(p = 0.003)。这些结果表明患有ARFID的儿童和青少年的大脑活动模式不同,特别是涉及微状态C,这可能反映了非典型的默认模式网络功能。本研究提供了ARFID中脑网络动力学改变的初步证据,有助于更好地理解其神经生物学基础,并为神经生理学干预提供了潜在的途径。
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来源期刊
Brain Topography
Brain Topography 医学-临床神经学
CiteScore
4.70
自引率
7.40%
发文量
41
审稿时长
3 months
期刊介绍: Brain Topography publishes clinical and basic research on cognitive neuroscience and functional neurophysiology using the full range of imaging techniques including EEG, MEG, fMRI, TMS, diffusion imaging, spectroscopy, intracranial recordings, lesion studies, and related methods. Submissions combining multiple techniques are particularly encouraged, as well as reports of new and innovative methodologies.
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