Altered resting-state connectivity in subjects at ultra-high risk for psychosis: An fMRI study

  • Geumsook Shim
  • , Jungsu S. Oh
  • , Wi H. Jung
  • , Joon H. Jang
  • , Chi Hoon Choi
  • , Euitae Kim
  • , Hye Yoon Park
  • , Jung Seok Choi
  • , Myung H. Jung
  • , Jun S. Kwon

Research output: Contribution to journalArticlepeer-review

125 Scopus citations

Abstract

Background: Individuals at ultra-high risk (UHR) for psychosis have self-disturbances and deficits in social cognition and functioning. Midline default network areas, including the medial prefrontal cortex and posterior cingulate cortex, are implicated in self-referential and social cognitive tasks. Thus, the neural substrates within the default mode network (DMN) have the potential to mediate self-referential and social cognitive information processing in UHR subjects.Methods: This study utilized functional magnetic resonance imaging (fMRI) to investigate resting-state DMN and task-related network (TRN) functional connectivity in 19 UHR subjects and 20 matched healthy controls. The bilateral posterior cingulate cortex was selected as a seed region, and the intrinsic organization for all subjects was reconstructed on the basis of fMRI time series correlation.Results: Default mode areas included the posterior/anterior cingulate cortices, the medial prefrontal cortex, the lateral parietal cortex, and the inferior temporal region. Task-related network areas included the dorsolateral prefrontal cortex, supplementary motor area, the inferior parietal lobule, and middle temporal cortex. Compared to healthy controls, UHR subjects exhibit hyperconnectivity within the default network regions and reduced anti-correlations (or negative correlations nearer to zero) between the posterior cingulate cortex and task-related areas.Conclusions: These findings suggest that abnormal resting-state network activity may be related with the clinical features of UHR subjects. Neurodevelopmental and anatomical alterations of cortical midline structure might underlie altered intrinsic networks in UHR subjects.

Original languageEnglish
Article number58
JournalBehavioral and Brain Functions
Volume6
DOIs
StatePublished - 11 Oct 2010
Externally publishedYes

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