Functional organization of multisensory integration network in children and youth with neurodevelopmental disorders predicts clinical sensory issues

Authors:
  • ECEun Jung Choi
    Eun Jung Choi
  • KLKathleen Lyons
    Kathleen Lyons
  • EAEvdokia Anagnostou
    Evdokia Anagnostou
  • PAPaul D. Arnold
    Paul D. Arnold
  • MAMuhammed Ayub
    Muhammed Ayub
  • JCJennifer Crosbie
    Jennifer Crosbie
  • SGStelios Georgiades
    Stelios Georgiades
  • JJJessica Jones
    Jessica Jones
  • EKElizabeth Kelley
    Elizabeth Kelley
  • AKAzadeh Kushki
    Azadeh Kushki
  • JLJason P. Lerch
    Jason P. Lerch
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Abstract
Differences in sensory processing in neurodevelopmental conditions, including Autism Spectrum Disorder (ASD) and Attention-deficit/Hyperactivity Disorder (ADHD), cascade into downstream clinical symptomatology. This includes differences in combining sensory information from multiple modalities into a unified percept, known as multisensory integration. Little is known about the functional organization of multisensory network (MSN) in these groups, its relation to clinical sensory issues, or its interaction with other higher-order cortical networks. We examined resting-state fMRI data from 417 participants in the Province of Ontario Neurodevelopmental Network (ASD=174, ADHD=130, Typical Development=113; Mean age=11.96±4.10). Timeseries data were extracted from the MSN and seven additional resting-state cortical networks (RSNs). Undirected and directed functional connectivity (FC) metrics were computed within the MSN and between the MSN and other RSNs. FC was compared across diagnoses and related to clinical sensory characteristics. The thalamus emerged as a hub region in both undirected and directed FC within the MSN and between the MSN-RSNs. Some diagnosis-related differences were observed, with increased MSN-RSN FC particularly in ADHD; however, associations with sensory characteristics were stronger in both undirected and directed FC within the MSN and between the MSN-RSNs, regardless of diagnosis. Converging evidence was seen in data-driven clusters based on FC metrics, which did not align with diagnosis, but instead mapped on to the overall level of sensory issues reported. That the data-driven clusters sorted not by diagnosis but by sensory characteristics suggests that these sensory characteristics and their underlying neurobiology are transdiagnostic in nature as opposed to specific to ASD or ADHD.

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