ArticleDiagnostics (Basel, Switzerland)2022
Application of Mass Multivariate Analysis on Neuroimaging Data Sets for Precision Diagnostics of Depression.
Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- The causal relationship between human brain morphometry and knee osteoarthritis: a two-sample Mendelian randomization study.Frontiers in genetics · 2024Article
- Resting-State Functional Connectivity Impairment in Patients with Major Depressive Episode.International journal of environmental research and public health · 2022Article
- Advancing translational research in neuroscience through multi-task learning.Frontiers in psychiatry · 2022Review
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Authors and funding
6 authors.
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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.
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