Abnormal Function in Dentate Nuclei Precedes the Onset of Psychosis: A Resting-State fMRI Study in High-Risk Individuals

Author:

Anteraper Sheeba Arnold12,Guell Xavier3,Collin Guusje456,Qi Zhenghan7,Ren Jingwen1,Nair Atira1,Seidman Larry J4,Keshavan Matcheri S4,Zhang Tianhong8,Tang Yingying8,Li Huijun9,McCarley Robert W10,Niznikiewicz Margaret A10,Shenton Martha E61112,Stone William S4,Wang Jijun8,Whitfield-Gabrieli Susan15

Affiliation:

1. Department of Psychology, Northeastern University, Boston, MA

2. Alan and Lorraine Bressler Clinical and Research Program for Autism Spectrum Disorder, Massachusetts General Hospital, Boston, MA

3. Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA

4. Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA

5. McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA

6. Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA

7. Department of Linguistics and Cognitive Science, University of Delaware, Newark, DE

8. Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China

9. Department of Psychology, Florida A&M University, Tallahassee, FL

10. Department of Psychiatry, VA Boston Healthcare System, Brockton Division, Brockton, MA

11. Research and Development, VA Boston Healthcare System, Brockton Division, Brockton, MA

12. Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA

Abstract

Abstract Objective The cerebellum serves a wide range of functions and is suggested to be composed of discrete regions dedicated to unique functions. We recently developed a new parcellation of the dentate nuclei (DN), the major output nuclei of the cerebellum, which optimally divides the structure into 3 functional territories that contribute uniquely to default-mode, motor-salience, and visual processing networks as indexed by resting-state functional connectivity (RsFc). Here we test for the first time whether RsFc differences in the DN, precede the onset of psychosis in individuals at risk of developing schizophrenia. Methods We used the magnetic resonance imaging (MRI) dataset from the Shanghai At Risk for Psychosis study that included subjects at high risk to develop schizophrenia (N = 144), with longitudinal follow-up to determine which subjects developed a psychotic episode within 1 year of their functional magnetic resonance imaging (fMRI) scan (converters N = 23). Analysis used the 3 functional parcels (default-mode, salience-motor, and visual territory) from the DN as seed regions of interest for whole-brain RsFc analysis. Results RsFc analysis revealed abnormalities at baseline in high-risk individuals who developed psychosis, compared to high-risk individuals who did not develop psychosis. The nature of the observed abnormalities was found to be anatomically specific such that abnormal RsFc was localized predominantly in cerebral cortical networks that matched the 3 functional territories of the DN that were evaluated. Conclusions We show for the first time that abnormal RsFc of the DN may precede the onset of psychosis. This new evidence highlights the role of the cerebellum as a potential target for psychosis prediction and prevention.

Funder

Ministry of Science and Technology of China

European Union

National Institute of Mental Health

Publisher

Oxford University Press (OUP)

Subject

Psychiatry and Mental health

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