Cortical interactions during the resolution of information processing demands in autism spectrum disorders. Issue 2 (24th December 2016)

• Record Type: Journal Article
• Authors: Denisova, Kristina; Zhao, Guihu; Wang, Zhishun; Goh, Suzanne; Huo, Yuankai; Peterson, Bradley S.
• Is Part Of: Brain and behavior. Volume 7:Issue 2(2017)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2016-12-24
• Subjects: autism spectrum disorders -- functional connectivity -- functional magnetic resonance imaging -- psychophysiological interaction -- uncertainty; Neurology -- Periodicals; Neurosciences -- Periodicals; Psychology -- Periodicals; Psychiatry -- Periodicals; 616.8005
• DOI: 10.1002/brb3.596
• Languages: English
• ISSNs: 2162-3279

Abstract

Abstract: Introduction: Our flexible and adaptive interactions with the environment are guided by our individual representation of the physical world, estimated through sensation and evaluation of available information against prior knowledge. When linking sensory evidence with higher‐level expectations for action, the central nervous system (CNS) in typically developing (TD) individuals relies in part on distributed and interacting cortical regions to communicate neuronal signals flexibly across the brain. Increasing evidence suggests that the balance between levels of signal and noise during information processing may be disrupted in individuals with Autism Spectrum Disorders (ASD). Methods: Participants with and without ASD performed a visuospatial interference task while undergoing functional Magnetic Resonance Imaging (fMRI). We empirically estimated parameters characterizing participants' latencies and their subtle fluctuations (noise accumulation) over the 16‐min scan. We modeled hemodynamic activation and used seed‐based analyses of neural coupling to study dysfunction in interference‐specific connectivity in a subset of ASD participants who were nonparametrically matched to TD participants on age, male‐to‐female ratio, and magnitude of movement during the scan. Results: Stochastic patterns of response fluctuations reveal significantly higher noise‐to‐signal levels and a more random and noisy structure in ASD versus TD participants, and in particular ASD adults who have the greatest clinical autistic deficits. While individuals with ASD show an overall weaker modulation of interference‐specific functional connectivity relative to TD individuals, in particular between the seeds of Anterior Cingulate Cortex (ACC) and Inferior Parietal Sulcus (IPS) and the rest of the brain, we found that in ASD, higher uncertainty during the task is linked to increased interference‐specific coupling between bilateral anterior insula and prefrontal cortex. Conclusions: Subtle and informative differences in the structure of experiencing information exist between ASD and TD individuals. Our findings reveal in ASD an atypical capacity to apply previously perceived information in a manner optimal for adaptive functioning, plausibly revealing suboptimal message‐passing across the CNS. Abstract : We aimed to examine brain mechanisms that support adaptive interactions of humans with their environment, in individuals and without Autism Spectrum Disorders (ASD). Using fluctuation analyses and empirically estimating Gamma parameters from the data, we show that individuals with ASD, and especially those with higher autistic deficits are characterized by more noisy and random distributions. In individuals with ASD, worse stochastic patterns (behavioral uncertainty) are linked to atypical interference‐specific coupling between bilateral anterior insula and the rest of the brain. Subtle and informative differences in the structure of experiencing information exist between ASD and typically developing (TD) individuals.