Fig. 3: Pattern classification power of identified altered functional links in DS and NDS from CN and its clinical significance. | Translational Psychiatry

Fig. 3: Pattern classification power of identified altered functional links in DS and NDS from CN and its clinical significance.

From: Convergent and divergent genes expression profiles associated with brain-wide functional connectome dysfunction in deficit and non-deficit schizophrenia

Fig. 3

A-a, B-a Functional connectivity matrix (i.e., features) were extracted from the ROI-wise functional connectivity (23 × 22/2 = 253 correlation coefficients for DS vs. CN; 20 × 19/2 = 190 correlation coefficients for NDS vs. CN) from results of voxel-based BWAS. A-b, B-b Indicating the schematic diagram of pattern recognition. A-c, B-c Circle diagram showed the contribution of all features in MRI-based “classifier” for distinguishing DS and NDS from CN. Red links indicate negative weight and black links Indicate positive weight. The thickness of links indicates the weight value. A-d, B-d ROC curve shows the classification power in MRI-based “classifier” for discriminating DS and NDS from CN. A-e, B-e Indicating the significant correlations between FC differences and deficit symptom severity in DS. A-f, h, g; B-f, h, g Indicating relationships between FC differences and SDS score (i.e. deficit symptom severity) in DS in the top three significant correlations. DS deficit schizophrenia, NDS non-deficit schizophrenia, CN healthy controls, FC functional connectivity, BWAS brain-wide association study, ACC accuracy, AUC area under the ROC curve, Opt optimum, ROC receiver operating characteristic, SDS Schedule for deficit syndrome. The anatomical abbreviations are for the areas in the AAL3 atlas, with abbreviations shown in Table S1.

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