Paunova, R.; Kandilarova, S.; Todeva-Radneva, A.; Latypova, A.; Kherif, F.; Stoyanov, D. Application of Mass Multivariate Analysis on Neuroimaging Data Sets for Precision Diagnostics of Depression. Diagnostics2022, 12, 469.
Paunova, R.; Kandilarova, S.; Todeva-Radneva, A.; Latypova, A.; Kherif, F.; Stoyanov, D. Application of Mass Multivariate Analysis on Neuroimaging Data Sets for Precision Diagnostics of Depression. Diagnostics 2022, 12, 469.
Paunova, R.; Kandilarova, S.; Todeva-Radneva, A.; Latypova, A.; Kherif, F.; Stoyanov, D. Application of Mass Multivariate Analysis on Neuroimaging Data Sets for Precision Diagnostics of Depression. Diagnostics2022, 12, 469.
Paunova, R.; Kandilarova, S.; Todeva-Radneva, A.; Latypova, A.; Kherif, F.; Stoyanov, D. Application of Mass Multivariate Analysis on Neuroimaging Data Sets for Precision Diagnostics of Depression. Diagnostics 2022, 12, 469.
Abstract
We have used Mass Multivariate Method on structural, resting state and task related fMRI data from two groups of patients with schizophrenia and depression, respectively, in order to define several regions of significant relevance to the differential diagnosis between those conditions. The regions included the left Planum polare, Left opercular part of the inferior frontal gyrus (OpIFG), Medial orbital gyrus (MOrG), Posterior Insula (PIns), and Parahippocampal gyrus (PHG). This study delivers evidence that multimodal neuroimaging approach can potentially enhance the validity of psychiatric diagnosis. Either structural, or resting state or task related functional MRI modality cannot provide independent biomarkers. Further studies need to consider and implement a model of incremental validity to combine 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
mass multivariate analysis; neuroimaging, depression, schizophrenia
Subject
Medicine and Pharmacology, Psychiatry and Mental Health
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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