Putative Brain Networks Underlying Repetitive Negative Thinking and Comorbid Internalizing Problems in Autism

Catherine A. Burrows, Kiara R Timpano, Lucina Q Uddin

Research output: Contribution to journalReview article

8 Citations (Scopus)

Abstract

Many high-functioning individuals with autism spectrum disorder (ASD) also experience depression and anxiety, yet little is known about mechanisms underlying this comorbidity. Repetitive negative thinking (RNT) about self-referential information is a transdiagnostic cognitive vulnerability factor that may account for the relationship between these two classes of symptoms. We propose a model where negative self-referential processing and cognitive inflexibility interact to increase risk for RNT, leading to internalizing problems in ASD. Examination of interactions within and between two well-characterized large-scale brain networks, the default mode network and the salience network, may provide insights into neurobiological mechanisms underlying RNT in ASD. We summarize previous literature supporting this model, emphasizing moving toward understanding RNT as a factor accounting for the high rates of internalizing problems in ASD. Future research avenues include understanding heterogeneity in clinical presentation and treating cognitive flexibility and RNT to reduce comorbid internalizing problems in ASD.

Original languageEnglish (US)
Pages (from-to)522-536
Number of pages15
JournalClinical Psychological Science
Volume5
Issue number3
DOIs
StatePublished - May 1 2017

Fingerprint

Autistic Disorder
Brain
Comorbidity
Anxiety
Autism Spectrum Disorder
Pessimism
Depression

Keywords

  • anxiety
  • autism spectrum disorder
  • default mode network
  • depression
  • rumination
  • salience network
  • worry

ASJC Scopus subject areas

  • Clinical Psychology

Cite this

Putative Brain Networks Underlying Repetitive Negative Thinking and Comorbid Internalizing Problems in Autism. / Burrows, Catherine A.; Timpano, Kiara R; Uddin, Lucina Q.

In: Clinical Psychological Science, Vol. 5, No. 3, 01.05.2017, p. 522-536.

Research output: Contribution to journalReview article

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