A primer on the use of computational modelling to investigate affective states, affective disorders and animal welfare in non-human animals.
Objective measures of animal emotion-like and mood-like states are essential for preclinical studies of affective disorders and for assessing the welfare of laboratory and other animals. However, the development and validation of measures of these affective states poses a challenge partly because th...
| Publicado en: | Cognitive, Affective & Behavioral Neuroscience Vol. 24; no. 2; pp. 370 - 384 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Apr2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=177350993&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 177350993 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15307026 NA4 jtl: Cognitive, Affective & Behavioral Neuroscience issn: 15307026 maglogo: N pubinfo: dt: Apr2024 vid: 24 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 177350993 174518522 10.3758/s13415-023-01137-w 177350993 ppf: 370 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A primer on the use of computational modelling to investigate affective states, affective disorders and animal welfare in non-human animals. aug: au: Neville, Vikki Mendl, Michael Paul, Elizabeth S. Seriès, Peggy Dayan, Peter affil: https://ror.org/0524sp257 Bristol Veterinary School, University of Bristol, Langford, UK sug: ab: Objective measures of animal emotion-like and mood-like states are essential for preclinical studies of affective disorders and for assessing the welfare of laboratory and other animals. However, the development and validation of measures of these affective states poses a challenge partly because the relationships between affect and its behavioural, physiological and cognitive signatures are complex. Here, we suggest that the crisp characterisations offered by computational modelling of the underlying, but unobservable, processes that mediate these signatures should provide better insights. Although this computational psychiatry approach has been widely used in human research in both health and disease, translational computational psychiatry studies remain few and far between. We explain how building computational models with data from animal studies could play a pivotal role in furthering our understanding of the aetiology of affective disorders, associated affective states and the likely underlying cognitive processes involved. We end by outlining the basic steps involved in a simple computational analysis. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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