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Commentary| Volume 80, ISSUE 2, P90-91, July 15, 2016

Categorical Dimensions of Social Impairment and Disrupted Functional Connectivity in Autism Spectrum Disorders: When Does Continuous Become Discrete?

  • J. Daniel Ragland
    Correspondence
    Address correspondence to J. Daniel Ragland, Ph.D., Department of Psychiatry and Behavioral Medicine, Imaging Research Center, 4701 X Street, Sacramento, CA 95817
    Affiliations
    Department of Psychiatry and Behavioral Medicine, University of California at Davis School of Medicine, Sacramento, California
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  • Marjorie Solomon
    Affiliations
    Department of Psychiatry and Behavioral Medicine, University of California at Davis School of Medicine, Sacramento, California
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      There is increasing interest in conceptualizing psychiatric impairments from a dimensional rather than categorical perspective, with hope that a new approach will expedite treatment of recalcitrant symptoms that cross diagnostic boundaries and compromise adaptive functioning. The companion paper by Elton et al. (
      • Elton A.
      • Di Martino A.
      • Hazlett H.C.
      • Gao W.
      Neural connectivity evidence for a categorical-dimensional hybrid model of autism spectrum disorder.
      ) used a technologically advanced neuroinformatics approach to illustrate that neither a fully dimensional nor fully categorical approach may be adequate. These authors interrogated a developmental disconnection hypothesis of autism spectrum disorder (ASD) (
      • Geschwind D.H.
      • Levitt P.
      Autism spectrum disorders: developmental disconnection syndromes.
      ) through analysis of a large repository of resting-state functional magnetic resonance imaging (fMRI) data, made available through the Autism Brain Imaging Data Exchange (
      • Di Martino A.
      • Yan C.G.
      • Li Q.
      • Denio E.
      • Castellanos F.X.
      • Alaerts K.
      • et al.
      The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.
      ). Hierarchical linear regression analyses examined disruption in four resting-state networks (dorsal attention, default mode, salience, and executive control) from three perspectives; 1) categorical, contrast of ASD participants with typically developing children; 2) dimensional, an association between functional connectivity and scores on the Social Responsiveness Scale (
      • Constantino J.N.
      • Davis S.A.
      • Todd R.D.
      • Schindler M.K.
      • Gross M.M.
      • Brophy S.L.
      • et al.
      Validation of a brief quantitative measure of autistic traits: comparison of the social responsiveness scale with the autism diagnostic interview-revised.
      ) across all participants; and 3) hybrid, test of group differences in the association between the Social Responsiveness Scale and functional connectivity. Although both categorical and dimensional approaches revealed perturbation of resting-state networks, perhaps most interestingly, the hybrid analysis revealed that the strength of these associations between Social Responsiveness Scale and functional connectivity differed between participants with ASD and typically developing children, with discrete areas within each network showing either increased or decreased association strength, depending on group membership. Although some regions showed distinct categorical and dimensional effects, other regions were overlapping, suggesting that the impact of network connectivity on one’s social responsiveness may depend partially on whether these networks underwent typical development or were neurodevelopmentally compromised.
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      References

        • Elton A.
        • Di Martino A.
        • Hazlett H.C.
        • Gao W.
        Neural connectivity evidence for a categorical-dimensional hybrid model of autism spectrum disorder.
        Biol Psychiatry. 2016; 80: 120-128
        • Geschwind D.H.
        • Levitt P.
        Autism spectrum disorders: developmental disconnection syndromes.
        Curr Opin Neurobiol. 2007; 17: 103-111
        • Di Martino A.
        • Yan C.G.
        • Li Q.
        • Denio E.
        • Castellanos F.X.
        • Alaerts K.
        • et al.
        The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.
        Mol Psychiatry. 2014; 19: 659-667
        • Constantino J.N.
        • Davis S.A.
        • Todd R.D.
        • Schindler M.K.
        • Gross M.M.
        • Brophy S.L.
        • et al.
        Validation of a brief quantitative measure of autistic traits: comparison of the social responsiveness scale with the autism diagnostic interview-revised.
        J Autism Dev Disord. 2003; 33: 427-433
        • Lilienfeld S.O.
        • Treadway M.T.
        Clashing diagnostic approaches: DSM-ICD versus RDoC.
        Ann Rev Clin Psychol. 2016; 12: 435-463
        • Insel T.
        • Cuthbert B.
        • Garvey M.
        • Heinssen R.
        • Pine D.S.
        • Quinn K.
        • et al.
        Research domain criteria (RDoC): Toward a new classification framework for research on mental disorders.
        Am J Psychiatry. 2010; 167: 748-751
        • Rommelse N.N.
        • Geurts H.M.
        • Franke B.
        • Buitelaar J.K.
        • Hartman C.A.
        A review on cognitive and brain endophenotypes that may be common in autism spectrum disorder and attention-deficit/hyperactivity disorder and facilitate the search for pleiotropic genes.
        Neurosci Biobehav Rev. 2011; 35: 1363-1396
        • Solomon M.
        • Ozonoff S.J.
        • Ursu S.
        • Ravizza S.
        • Cummings N.
        • Ly S.
        • et al.
        The neural substrates of cognitive control deficits in autism spectrum disorders.
        Neuropsychologia. 2009; 47: 2515-2526
        • Solomon M.
        • Olsen E.
        • Niendam T.
        • Ragland J.D.
        • Yoon J.
        • Minzenberg M.
        • et al.
        From lumping to splitting and back again: atypical social and language development in individuals with clinical-high-risk for psychosis, first episode schizophrenia, and autism spectrum disorders.
        Schizophr Res. 2011; 131: 146-151
        • Solomon M.
        • Ozonoff S.
        • Carter C.
        • Caplan R.
        Formal thought disorder and the autism spectrum: relationship with symptoms, executive control, and anxiety.
        J Autism Dev Disord. 2008; 38: 1474-1484