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Cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization

Author

Listed:
  • Hengyi Cao

    (Yale University)

  • Oliver Y. Chén

    (Yale University)

  • Yoonho Chung

    (Yale University)

  • Jennifer K. Forsyth

    (University of California Los Angeles)

  • Sarah C. McEwen

    (University of California Los Angeles)

  • Dylan G. Gee

    (Yale University)

  • Carrie E. Bearden

    (University of California Los Angeles)

  • Jean Addington

    (University of Calgary)

  • Bradley Goodyear

    (University of Calgary)

  • Kristin S. Cadenhead

    (University of California San Diego)

  • Heline Mirzakhanian

    (University of California San Diego)

  • Barbara A. Cornblatt

    (Zucker Hillside Hospital)

  • Ricardo E. Carrión

    (Zucker Hillside Hospital)

  • Daniel H. Mathalon

    (University of California San Francisco)

  • Thomas H. McGlashan

    (Yale University)

  • Diana O. Perkins

    (University of North Carolina)

  • Aysenil Belger

    (University of North Carolina)

  • Larry J. Seidman

    (Harvard Medical School)

  • Heidi Thermenos

    (Harvard Medical School)

  • Ming T. Tsuang

    (University of California San Diego)

  • Theo G. M. van Erp

    (University of California Irvine)

  • Elaine F. Walker

    (Emory University)

  • Stephan Hamann

    (Emory University)

  • Alan Anticevic

    (Yale University)

  • Scott W. Woods

    (Yale University)

  • Tyrone D. Cannon

    (Yale University
    Yale University)

Abstract

Understanding the fundamental alterations in brain functioning that lead to psychotic disorders remains a major challenge in clinical neuroscience. In particular, it is unknown whether any state-independent biomarkers can potentially predict the onset of psychosis and distinguish patients from healthy controls, regardless of paradigm. Here, using multi-paradigm fMRI data from the North American Prodrome Longitudinal Study consortium, we show that individuals at clinical high risk for psychosis display an intrinsic “trait-like” abnormality in brain architecture characterized as increased connectivity in the cerebello–thalamo–cortical circuitry, a pattern that is significantly more pronounced among converters compared with non-converters. This alteration is significantly correlated with disorganization symptoms and predictive of time to conversion to psychosis. Moreover, using an independent clinical sample, we demonstrate that this hyperconnectivity pattern is reliably detected and specifically present in patients with schizophrenia. These findings implicate cerebello–thalamo–cortical hyperconnectivity as a robust state-independent neural signature for psychosis prediction and characterization.

Suggested Citation

  • Hengyi Cao & Oliver Y. Chén & Yoonho Chung & Jennifer K. Forsyth & Sarah C. McEwen & Dylan G. Gee & Carrie E. Bearden & Jean Addington & Bradley Goodyear & Kristin S. Cadenhead & Heline Mirzakhanian &, 2018. "Cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06350-7
    DOI: 10.1038/s41467-018-06350-7
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