Application of Mass Multivariate Analysis on Neuroimaging Data Sets for Precision Diagnostics of Depression.

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State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_971EB3952773
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Application of Mass Multivariate Analysis on Neuroimaging Data Sets for Precision Diagnostics of Depression.
Journal
Diagnostics
Author(s)
Paunova R., Kandilarova S., Todeva-Radneva A., Latypova A., Kherif F., Stoyanov D.
ISSN
2075-4418 (Print)
ISSN-L
2075-4418
Publication state
Published
Issued date
12/02/2022
Peer-reviewed
Oui
Volume
12
Number
2
Pages
469
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
We used the Mass Multivariate Method on structural, resting-state, and task-related fMRI data from two groups of patients with schizophrenia and depression in order to define several regions of significant relevance to the differential diagnosis of those conditions. The regions included the left planum polare (PP), the left opercular part of the inferior frontal gyrus (OpIFG), the medial orbital gyrus (MOrG), the posterior insula (PIns), and the parahippocampal gyrus (PHG). This study delivered evidence that a multimodal neuroimaging approach can potentially enhance the validity of psychiatric diagnoses. Structural, resting-state, or task-related functional MRI modalities cannot provide independent biomarkers. Further studies need to consider and implement a model of incremental validity combining clinical measures with different neuroimaging modalities to discriminate depressive disorders from schizophrenia. Biological signatures of disease on the level of neuroimaging are more likely to underpin broader nosological entities in psychiatry.
Keywords
depression, mass multivariate analysis, neuroimaging, schizophrenia
Pubmed
Web of science
Open Access
Yes
Create date
07/03/2022 12:54
Last modification date
23/11/2022 8:13
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