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Prediction of vulnerability to bipolar disorder using multivariate neurocognitive patterns: a pilot study
- Source :
- International Journal of Bipolar Disorders, International Journal of Bipolar Disorders, Vol 5, Iss 1, Pp 1-7 (2017)
- Publication Year :
- 2017
- Publisher :
- Springer Berlin Heidelberg, 2017.
-
Abstract
- Bipolar disorder (BD) is a common disorder with high reoccurrence rate in general population. It is critical to have objective biomarkers to identify BD patients at an individual level. Neurocognitive signatures including affective Go/No-go task and Cambridge Gambling task showed the potential to distinguish BD patients from health controls as well as identify individual siblings of BD patients. Moreover, these neurocognitive signatures showed the ability to be replicated at two independent cohorts which indicates the possibility for generalization. Future studies will examine the possibility of combining neurocognitive data with other biological data to develop more accurate signatures. Electronic supplementary material The online version of this article (doi:10.1186/s40345-017-0101-9) contains supplementary material, which is available to authorized users.
- Subjects :
- medicine.medical_specialty
Multivariate statistics
Neurology
Future studies
Bipolar disorder
Population
Vulnerability
lcsh:RC321-571
03 medical and health sciences
0302 clinical medicine
Machine learning
medicine
Psychiatry
education
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
Neurocognition
Biological Psychiatry
education.field_of_study
Research
lcsh:QP351-495
CANTAB
medicine.disease
030227 psychiatry
3. Good health
Psychiatry and Mental health
lcsh:Neurophysiology and neuropsychology
Psychopharmacology
Psychology
Neurocognitive
030217 neurology & neurosurgery
Clinical psychology
Subjects
Details
- Language :
- English
- ISSN :
- 21947511
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- International Journal of Bipolar Disorders
- Accession number :
- edsair.doi.dedup.....a02b247cfd838af7130d17d2afa5488d