Application of Mass Multivariate Analysis on Neuroimaging Data Sets for Precision Diagnostics of Depression.
depression
mass multivariate analysis
neuroimaging
schizophrenia
Journal
Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402
Informations de publication
Date de publication:
12 Feb 2022
12 Feb 2022
Historique:
received:
10
12
2021
revised:
18
01
2022
accepted:
08
02
2022
entrez:
25
2
2022
pubmed:
26
2
2022
medline:
26
2
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 35204560
pii: diagnostics12020469
doi: 10.3390/diagnostics12020469
pmc: PMC8871050
pii:
doi:
Types de publication
Journal Article
Langues
eng
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