Literature DB >> 27094176

Reduced functional connectivity to the frontal cortex during processing of social cues in autism spectrum disorder.

Elgin Hoffmann1, Carolin Brück2, Benjamin Kreifelts2, Thomas Ethofer2,3, Dirk Wildgruber2.   

Abstract

People diagnosed with autism spectrum disorder (ASD) characteristically present with severe difficulties in interpreting every-day social signals. Currently it is assumed that these difficulties might have neurobiological correlates in alterations in activation as well as in connectivity in and between regions of the social perception network suggested to govern the processing of social cues. In this study, we conducted functional magnetic resonance imaging (fMRI)-based activation and connectivity analyses focusing on face-, voice-, and audiovisual-processing brain regions as the most important subareas of the social perception network. Results revealed alterations in connectivity among regions involved in the processing of social stimuli in ASD subjects compared to typically developed (TD) controls-specifically, a reduced connectivity between the left temporal voice area (TVA) and the superior and medial frontal gyrus. Alterations in connectivity, moreover, were correlated with the severity of autistic traits: correlation analysis indicated that the connectivity between the left TVA and the limbic lobe, anterior cingulate and the medial frontal gyrus as well as between the right TVA and the frontal lobe, anterior cingulate, limbic lobe and the caudate decreased with increasing symptom severity. As these frontal regions are understood to play an important role in interpreting and mentalizing social signals, the observed underconnectivity might be construed as playing a role in social impairments in ASD.

Entities:  

Keywords:  Autism spectrum disorder; Functional connectivity in autism; Psycho-physiological interaction analysis; Social perception network; fMRI

Mesh:

Substances:

Year:  2016        PMID: 27094176     DOI: 10.1007/s00702-016-1544-3

Source DB:  PubMed          Journal:  J Neural Transm (Vienna)        ISSN: 0300-9564            Impact factor:   3.575


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