Compensation and conversation in autism: atypical connectivity supports typical behavior

Abstract

BackgroundIt is well-established that individuals with autism show atypical functional brain connectivity. However, the role this plays in behavior, especially in naturalistic social settings, has remained unclear. Some atypical patterns may reflect core deficits, while others may instead compensate for deficits and promote adaptive behavior. Distinguishing these possibilities requires measuring the typicality of spontaneous behavior and determining which connectivity patterns correlate with it. MethodsThirty-nine male participants (19 autism, 20 typically-developed) engaged in 115 spontaneous conversations with an experimenter during fMRI scanning (Jasmin, et al., 2019, Brain). A classifier algorithm was trained to distinguish participants by diagnosis based on 81 semantic, affective and linguistic dimensions derived from their use of language. The algorithms certainty that a participant was in either the autism or typical group was used as a measure of task performance and compared with functional connectivity levels. ResultsThe algorithm accurately classified participants (74%, P = .002), and its scores correlated with clinician-observed autism signs (ADOS) (rs = .56, P = .03). In support of a compensatory role, greater functional connectivity, most prominently between left-hemisphere social communication regions and right inferior frontal cortex, correlated with more typical language behaviour, only for the autism group (rs = .56, P = .01). ConclusionWe report a simple and highly generalizable method for quantifying behavioral performance and neural compensation during complex spontaneous social behavior, without the need for an a priori benchmark. The findings suggest that functional connectivity increases in autism during communication reflect a neural compensation strategy.