Abstract

To date, few functional magnetic resonance imaging (fMRI) studies have explored resting-state functional connectivity (RSFC) in long-lasting anorexia nervosa (AN) patients via graph analysis. The aim of the present study is to investigate, via a graph approach (i.e., the network-based statistic), RSFC in a sample of adolescents at the earliest stages of AN (i.e., AN duration less than 6 months). Resting-state fMRI data was obtained from 15 treatment-naive female adolescents with AN restrictive type (AN-r) in its earliest stages and 15 age-matched healthy female controls. A network-based statistic analysis was used to isolate networks of interconnected nodes that differ between the two groups. Group comparison showed a decreased connectivity in a sub-network of connections encompassing the left and right rostral ACC, left paracentral lobule, left cerebellum (10th sub-division), left posterior insula, left medial fronto-orbital gyrus, and right superior occipital gyrus in AN patients. Results were not associated to alterations in intranodal or global connectivity. No sub-networks with an increased connectivity were identified in AN patients. Our findings suggest that RSFC may be specifically affected at the earliest stages of AN. Considering that the altered sub-network comprises areas mainly involved in somatosensory and interoceptive information and processing and in emotional processes, it could sustain abnormal integration of somatosensory and homeostatic signals, which may explain body image disturbances in AN. Further studies with larger samples and longitudinal designs are needed to confirm our findings and better understand the role and consequences of such functional alterations in AN.

Highlights

  • Anorexia nervosa (AN) mainly affects adolescent girls and young women and it is characterized by extremely low body weight, intense fear of weight gain, body image distortion, and food refusal[1]

  • The aim of the present study is to investigate, via the network-based statistics (NBS) statistical approach, whole-brain resting-state functional connectivity (RSFC) in a sample of treatment naive subjects with AN at its earliest stages of the disease in order to minimize the role of brain atrophy, which con occur in AN5 and may affect neuroimaging findings[3], and excluding other possible confounding factors

  • All patients were under diagnostic evaluation for AN

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Summary

Introduction

Anorexia nervosa (AN) mainly affects adolescent girls and young women and it is characterized by extremely low body weight, intense fear of weight gain, body image distortion, and food refusal[1]. Graph analysis and effective connectivity are other novel approaches to study brain functional connectivity. Graph analysis considers the brain as a complex network consisting of nodes connected by edges, where nodes are selected brain areas distributed across the whole brain and edges are the functional relationship between nodes[15]. In this framework, a number of measures relative to the global and local properties of brain connections can be measured with appropriate statistical approaches, reflective of the cost-effectiveness of the network.

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