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. (
1
) 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) (
2
) through analysis of a large repository of resting-state functional magnetic resonance
imaging (fMRI) data, made available through the Autism Brain Imaging Data Exchange
(
3
). 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 (
4
) 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.To read this article in full you will need to make a payment
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References
- Neural connectivity evidence for a categorical-dimensional hybrid model of autism spectrum disorder.Biol Psychiatry. 2016; 80: 120-128
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Article info
Publication history
Accepted:
May 14,
2016
Received:
May 12,
2016
Identification
Copyright
© 2016 Society of Biological Psychiatry. Published by Society of Biological Psychiatry All rights reserved.