Involvement of the habenula in the pathophysiology of autism spectrum disorder

• Published in: Scientific reports Vol. 11; no. 1; p. 21168
• Main Authors: Germann, Jürgen, Gouveia, Flavia Venetucci, Brentani, Helena, Bedford, Saashi A., Tullo, Stephanie, Chakravarty, M. Mallar, Devenyi, Gabriel A.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 27.10.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 631/378/1689/1373; 631/378/3919; 692/698/1688/64; Adolescent; Adult; Autism; Autism Spectrum Disorder - diagnostic imaging; Autism Spectrum Disorder - pathology; Brain stem; Child; Circadian rhythms; Female; Habenula; Habenula - diagnostic imaging; Habenula - pathology; Humanities and Social Sciences; Humans; Image processing; Magnetic Resonance Imaging; Male; multidisciplinary; Pathophysiology; Reinforcement; Science; Science (multidisciplinary); Segmentation; Sensory integration; Sleep disorders; Social Behavior; Social interactions; Support Vector Machine
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-021-00603-0

The habenula is a small epithalamic structure with widespread connections to multiple cortical, subcortical and brainstem regions. It has been identified as the central structure modulating the reward value of social interactions, behavioral adaptation, sensory integration and circadian rhythm. Autism spectrum disorder (ASD) is characterized by social communication deficits, restricted interests, repetitive behaviors, and is frequently associated with altered sensory perception and mood and sleep disorders. The habenula is implicated in all these behaviors and results of preclinical studies suggest a possible involvement of the habenula in the pathophysiology of this disorder. Using anatomical magnetic resonance imaging and automated segmentation we show that the habenula is significantly enlarged in ASD subjects compared to controls across the entire age range studied (6–30 years). No differences were observed between sexes. Furthermore, support-vector machine modeling classified ASD with 85% accuracy (model using habenula volume, age and sex) and 64% accuracy in cross validation. The Social Responsiveness Scale (SRS) significantly differed between groups, however, it was not related to individual habenula volume. The present study is the first to provide evidence in human subjects of an involvement of the habenula in the pathophysiology of ASD.