Matches in SemOpenAlex for { <https://semopenalex.org/work/W2788181936> ?p ?o ?g. }
- W2788181936 endingPage "58" @default.
- W2788181936 startingPage "50" @default.
- W2788181936 abstract "Clinical assessment of motivation disorders, such as apathy or compulsivity, is currently based on psychometric scales that do not provide any mechanistic insight susceptible to better target therapeutic intervention. Here, we expose a new approach that consists in phenotyping motivation states by fitting computational models to the behavioral responses made by patients in choice and/or learning tests. A computational phenotype is nothing but a set of fitted parameters that capture key motivational dimensions such as sensitivity to reward, punition, effort, delay and risk. These motivational dimensions have already been assessed in many neurological and psychiatric conditions, and related to clinical dimensions in a transnosographic manner. In some cases, computational phenotyping has also been applied to potential treatments, establishing correspondence with motivation disorders and hence opening a new avenue for personalized medicine. For instance, apathy related to reduced reward sensitivity might be better treated with dopaminergic than serotonergic medication." @default.
- W2788181936 created "2018-03-06" @default.
- W2788181936 creator A5018241549 @default.
- W2788181936 creator A5059791481 @default.
- W2788181936 creator A5063431579 @default.
- W2788181936 date "2018-08-01" @default.
- W2788181936 modified "2023-09-30" @default.
- W2788181936 title "When decisions talk: computational phenotyping of motivation disorders" @default.
- W2788181936 cites W1593366978 @default.
- W2788181936 cites W1764010569 @default.
- W2788181936 cites W1931043584 @default.
- W2788181936 cites W1968161699 @default.
- W2788181936 cites W1973578688 @default.
- W2788181936 cites W1974055608 @default.
- W2788181936 cites W1976455978 @default.
- W2788181936 cites W1981955730 @default.
- W2788181936 cites W1991756001 @default.
- W2788181936 cites W1993903183 @default.
- W2788181936 cites W1995679565 @default.
- W2788181936 cites W2003118387 @default.
- W2788181936 cites W2005628390 @default.
- W2788181936 cites W2006633893 @default.
- W2788181936 cites W2007001183 @default.
- W2788181936 cites W2008565771 @default.
- W2788181936 cites W2010073791 @default.
- W2788181936 cites W2020394900 @default.
- W2788181936 cites W2021831574 @default.
- W2788181936 cites W2022758750 @default.
- W2788181936 cites W2032484704 @default.
- W2788181936 cites W2033405588 @default.
- W2788181936 cites W2039051284 @default.
- W2788181936 cites W2046713808 @default.
- W2788181936 cites W2047265348 @default.
- W2788181936 cites W2049171896 @default.
- W2788181936 cites W2054730299 @default.
- W2788181936 cites W2056225668 @default.
- W2788181936 cites W2064138603 @default.
- W2788181936 cites W2070411405 @default.
- W2788181936 cites W2072715247 @default.
- W2788181936 cites W2080248245 @default.
- W2788181936 cites W2082483237 @default.
- W2788181936 cites W2094099090 @default.
- W2788181936 cites W2094174238 @default.
- W2788181936 cites W2094761601 @default.
- W2788181936 cites W2103636917 @default.
- W2788181936 cites W2110534460 @default.
- W2788181936 cites W2113345170 @default.
- W2788181936 cites W2123089523 @default.
- W2788181936 cites W2129123617 @default.
- W2788181936 cites W2135929897 @default.
- W2788181936 cites W2137114410 @default.
- W2788181936 cites W2138221880 @default.
- W2788181936 cites W2140487181 @default.
- W2788181936 cites W2151292929 @default.
- W2788181936 cites W2153033164 @default.
- W2788181936 cites W2157813419 @default.
- W2788181936 cites W2161221573 @default.
- W2788181936 cites W2162801180 @default.
- W2788181936 cites W2163647009 @default.
- W2788181936 cites W2163678685 @default.
- W2788181936 cites W2166189176 @default.
- W2788181936 cites W2264526466 @default.
- W2788181936 cites W2327195949 @default.
- W2788181936 cites W2379192565 @default.
- W2788181936 cites W2422907305 @default.
- W2788181936 cites W2460255599 @default.
- W2788181936 cites W2472856298 @default.
- W2788181936 cites W2511478361 @default.
- W2788181936 cites W2520975466 @default.
- W2788181936 cites W2522049947 @default.
- W2788181936 cites W2547647442 @default.
- W2788181936 cites W2585791450 @default.
- W2788181936 cites W2599339175 @default.
- W2788181936 cites W2616952737 @default.
- W2788181936 cites W2617674403 @default.
- W2788181936 cites W2740651538 @default.
- W2788181936 doi "https://doi.org/10.1016/j.cobeha.2017.12.014" @default.
- W2788181936 hasPublicationYear "2018" @default.
- W2788181936 type Work @default.
- W2788181936 sameAs 2788181936 @default.
- W2788181936 citedByCount "8" @default.
- W2788181936 countsByYear W27881819362018 @default.
- W2788181936 countsByYear W27881819362019 @default.
- W2788181936 countsByYear W27881819362020 @default.
- W2788181936 countsByYear W27881819362021 @default.
- W2788181936 countsByYear W27881819362022 @default.
- W2788181936 crossrefType "journal-article" @default.
- W2788181936 hasAuthorship W2788181936A5018241549 @default.
- W2788181936 hasAuthorship W2788181936A5059791481 @default.
- W2788181936 hasAuthorship W2788181936A5063431579 @default.
- W2788181936 hasConcept C127413603 @default.
- W2788181936 hasConcept C15744967 @default.
- W2788181936 hasConcept C180747234 @default.
- W2788181936 hasConcept C41008148 @default.
- W2788181936 hasConcept C539667460 @default.
- W2788181936 hasConceptScore W2788181936C127413603 @default.
- W2788181936 hasConceptScore W2788181936C15744967 @default.
- W2788181936 hasConceptScore W2788181936C180747234 @default.