Functional connectivity between the temporoparietal cortex and cerebellum in autism spectrum disorder

Kajsa M. Igelström, Taylor W. Webb, Michael S.A. Graziano

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

The neural basis of autism spectrum disorder (ASD) is not yet understood. ASD is marked by social deficits and is strongly associated with cerebellar abnormalities. We studied the organization and cerebellar connectivity of the temporoparietal junction (TPJ), an area that plays a crucial role in social cognition. We applied localized independent component analysis to resting-state fMRI data from autistic and neurotypical adolescents to yield an unbiased parcellation of the bilateral TPJ into 11 independent components (ICs). A comparison between neurotypical and autistic adolescents showed that the organization of the TPJ was not significantly altered in ASD. Second, we used the time courses of the TPJ ICs as spatially unbiased "seeds" for a functional connectivity analysis applied to voxels within the cerebellum. We found that the cerebellum contained a finegrained, lateralized map of the TPJ. The connectivity of the TPJ subdivisions with cerebellar zones showed one striking difference in ASD. The right dorsal TPJ showed markedly less connectivity with the left Crus II. Disturbed cerebellar inputto this key region for cognition and multimodal integration may contribute to social deficits in ASD. The findings might also suggest that the right TPJ and/or left Crus II are potential targets for noninvasive brain stimulation therapies.

Original languageEnglish (US)
Pages (from-to)2617-2627
Number of pages11
JournalCerebral Cortex
Volume27
Issue number4
DOIs
StatePublished - 2017

All Science Journal Classification (ASJC) codes

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience

Keywords

  • Cerebellar crus II
  • Default mode network
  • Developmental diaschisis hypothesis
  • Frontoparietal executive resting-state network
  • Localized independent component analysis

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