Multivariate Analysis of Structural and Functional Neuroimaging Can Inform Psychiatric Differential Diagnosis.

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Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_19EF63676FE0
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Multivariate Analysis of Structural and Functional Neuroimaging Can Inform Psychiatric Differential Diagnosis.
Journal
Diagnostics
Author(s)
Stoyanov D., Kandilarova S., Aryutova K., Paunova R., Todeva-Radneva A., Latypova A., Kherif F.
ISSN
2075-4418 (Print)
ISSN-L
2075-4418
Publication state
Published
Issued date
24/12/2020
Peer-reviewed
Oui
Volume
11
Number
1
Pages
E19
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
Traditional psychiatric diagnosis has been overly reliant on either self-reported measures (introspection) or clinical rating scales (interviews). This produced the so-called explanatory gap with the bio-medical disciplines, such as neuroscience, which are supposed to deliver biological explanations of disease. In that context the neuro-biological and clinical assessment in psychiatry remained discrepant and incommensurable under conventional statistical frameworks. The emerging field of translational neuroimaging attempted to bridge the explanatory gap by means of simultaneous application of clinical assessment tools and functional magnetic resonance imaging, which also turned out to be problematic when analyzed with standard statistical methods. In order to overcome this problem our group designed a novel machine learning technique, multivariate linear method (MLM) which can capture convergent data from voxel-based morphometry, functional resting state and task-related neuroimaging and the relevant clinical measures. In this paper we report results from convergent cross-validation of biological signatures of disease in a sample of patients with schizophrenia as compared to depression. Our model provides evidence that the combination of the neuroimaging and clinical data in MLM analysis can inform the differential diagnosis in terms of incremental validity.
Keywords
depression, diagnosis, discriminative, multivariate linear method, schizophrenia, signatures of disease, validation
Pubmed
Web of science
Open Access
Yes
Create date
11/01/2021 10:21
Last modification date
11/02/2021 7:25
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