Explore the words cloud of the PRE-PSYCH project. It provides you a very rough idea of what is the project "PRE-PSYCH" about.
The following table provides information about the project.
UNIVERSITAIR MEDISCH CENTRUM UTRECHT
|Coordinator Country||Netherlands [NL]|
|Total cost||242˙929 €|
|EC max contribution||242˙929 € (100%)|
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
|Duration (year-month-day)||from 2017-04-01 to 2021-02-19|
Take a look of project's partnership.
|1||UNIVERSITAIR MEDISCH CENTRUM UTRECHT||NL (UTRECHT)||coordinator||242˙929.00|
|2||BETH ISRAEL DEACONESS MEDICAL CENTER, INC NON PROFIT CORPORATION||US (BOSTON MA)||partner||0.00|
Schizophrenia is a severe psychiatric disorder characterized by recurrent psychotic episodes that typically commence in early adulthood. There is consistent evidence for anatomical and functional brain abnormalities in schizophrenia, but their timing is unclear. Changes in behavior and cognition precede the first psychotic episode by many years, suggesting that the underlying neurobiological process predates the onset of psychosis. Clarifying the neurobiology of the pre-onset or ‘prodromal’ phase will facilitate the development of early intervention and prevention strategies for schizophrenia. I hypothesize that disruptions in the anatomical brain network, and associated disturbances in functional integration among specialized neural circuits, drive changes in behavior and cognition in the prodromal phase. In this project, I have the opportunity to test my hypothesis in a unique sample of medication-naive adolescents and young adults with early signs of impending psychosis, that are followed prospectively as they progress through the vulnerable prodromal period. This sample is collected as part of an ongoing NIMH-funded collaborative research program between a multidisciplinary Harvard/MIT research team and the Shanghai Mental Health Center. Using network science as a mathematical framework, I propose to study brain network architecture in this sample of youths with early signs of impending psychosis, to assess how disruptions in the brain’s network underlie prodromal symptoms and cognition, whether early neuroinflammation contributes to brain network deficits, and to test brain network metrics as early identifiers of emerging psychosis.
|year||authors and title||journal||last update|
Guusje Collin, Larry J. Seidman, Matcheri S. Keshavan, William S. Stone, Zhenghan Qi, Tianhong Zhang, Yingying Tang, Huijun Li, Sheeba Arnold Anteraper, Margaret A. Niznikiewicz, Robert W. McCarley, Martha E. Shenton, Jijun Wang, Susan Whitfield-Gabrieli
Functional connectome organization predicts conversion to psychosis in clinical high-risk youth from the SHARP program
published pages: , ISSN: 1359-4184, DOI: 10.1038/s41380-018-0288-x
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