Simulation of Mental Disorders: II. Computer Models, Purposes and Future Directions.
The complexity of the human brain and the difficulties in identifying and dissecting the biological, social and contextual underpinnings of mental functions confound the study of the etiology and pathophysiology of mental disorders. Simulating mental disorders in animal models or in computer program...
| Publicado en: | Israel Journal of Psychiatry & Related Sciences Vol. 53; no. 2; pp. 73 - 82 |
|---|---|
| Autores principales: | , |
| Formato: | review tables/charts Journal Article |
| Publicado: |
Israel Psychiatric Association
2016
|
| 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=121025456&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 121025456 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03337308 DJ0 jtl: Israel Journal of Psychiatry & Related Sciences issn: 03337308 maglogo: N pubinfo: dt: 2016 vid: 53 iid: 2 pid: 68007 pub: Israel Psychiatric Association place: , <Blank> artinfo: ui: 121025456 121025456 NLM28079040 121025456 NLM28079040 121025456 ppf: 73 ppct: 9 formats: tig: atl: Simulation of Mental Disorders: II. Computer Models, Purposes and Future Directions. aug: au: Gold, Azgad Dudai, Yadin affil: Beer Ya'akov Mental Health Center, Beer Ya'akov, Israel. sug: subj: Computer Simulation Mental Disorders ab: The complexity of the human brain and the difficulties in identifying and dissecting the biological, social and contextual underpinnings of mental functions confound the study of the etiology and pathophysiology of mental disorders. Simulating mental disorders in animal models or in computer programs may contribute to the understanding of such disorders. In the companion paper (30), we discussed selected concepts and pragmatics pertaining to mental illness simulation in general, and then focused on issues pertaining to animal models of mental disease. In this paper, we focus on selected aspects of the merits and limitations of the use of large scale computer simulation in investigating mental disorders. We argue that at the current state of knowledge, the biological-phenomenological gap in understanding mental disorders markedly limits the ability to generate high-fidelity computational models of mental illness. We conclude that similarly to the animal model approach, brain simulation focusing on limited realistic objectives, such as mimicking the emergence of selected distinct attributes of specific mental symptoms in a virtual brain or parts thereof, may serve as a useful tool in exploring mental disorders. pubtype: Academic Journal doctype: review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|