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Title:

Reinforcement learning as an intermediate phenotype in psychosis? Deficits sensitive to illness stage but not associated with polygenic risk of schizophrenia in the general population.

Document type:
Journal Article; Research Support, Non-U.S. Gov't
Author(s):
Montagnese, Marcella; Knolle, Franziska; Haarsma, Joost; Griffin, Juliet D; Richards, Alex; Vertes, Petra E; Kiddle, Beatrix; Fletcher, Paul C; Jones, Peter B; Owen, Michael J; Fonagy, Peter; Bullmore, Edward T; Dolan, Raymond J; Moutoussis, Michael; Goodyer, Ian M; Murray, Graham K
Abstract:
BACKGROUND: Schizophrenia is a complex disorder in which the causal relations between risk genes and observed clinical symptoms are not well understood and the explanatory gap is too wide to be clarified without considering an intermediary level. Thus, we aimed to test the hypothesis of a pathway from molecular polygenic influence to clinical presentation occurring via deficits in reinforcement learning. METHODS: We administered a reinforcement learning task (Go/NoGo) that measures reinforcement...     »
Journal title abbreviation:
Schizophr Res
Year:
2020
Journal volume:
222
Pages contribution:
389-396
Fulltext / DOI:
doi:10.1016/j.schres.2020.04.022
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/32389614
Print-ISSN:
0920-9964
TUM Institution:
Fachgebiet Neuroradiologie (Prof. Zimmer)
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