Explanatory integration, computational phenotypes, and dimensional psychiatry
The case of alcohol use disorder
Bibliographic Data
| ID | 20401706 |
|---|---|
| Authors | Matteo Colombo (0000-0002-2251-2248, Tilburg University, corresponding author), Andreas Heinz (0000-0001-5405-9065, Charité - Universitätsmedizin Berlin) |
| Year | 2019 |
| Volume | 29 |
| Issue | 5 |
| Pages | 697-718 |
| Publication date | 2019-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Theory & Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0959-3543 • E-ISSN: 1461-7447 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0959354319867392 |
| OpenAlex | W2956226327 |
| Language | EN |
| Citations received | 4 |
| References cited | 58 |
We compare three theoretical frameworks for pursuing explanatory integration in psychiatry: a new dimensional framework grounded in the notion of computational phenotype, a mechanistic framework, and a network of symptoms framework. Considering the phenomenon of alcoholism, we argue that the dimensional framework is the best for effectively integrating computational and mechanistic explanations with phenomenological analyses
Alcohol · Alcohol use disorder · Biology · Cognitive psychology · Cognitive science · Computational model · Epistemology · Phenomenon · Computer Science · Functional Brain Connectivity Studies · Mental Health Research Topics · Philosophy · Psychology · Schizophrenia research and treatment · Artificial Intelligence
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| Unique citing works | 4 |
|---|---|
| Citations per year | 0,57 |
| Citation span | 2019 - 2025 (7) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |