Resting-state functional magnetic resonance imaging and support vector machines for the diagnosis of major depressive disorder in adolescents

doi:10.5498/wjp.v14.i11.1696

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World Journal of Psychiatry

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2220-3206

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Psychiatry. Nov 19, 2024; 14(11): 1696-1707
Published online Nov 19, 2024. doi: 10.5498/wjp.v14.i11.1696

Table 3 Results of the receiver operating characteristic analysis for functional connection values of different brain regions in distinguishing between the two groups

Brain regions	Accuracy	Sensitivity	Specificity
Temporal_Inf_L	68.97%	79.55%	58.14%
Vermis_10	70.11%	84.09%	55.81%
Calcarine_R	70.11%	61.36%	79.07%
Calcarine_L	66.67%	75.00%	58.14%
Lingual_R	83.91%	79.55%	88.37%
Occipital_Sup_L	65.52%	68.19%	62.79%

Citation: Yu ZH, Yu RQ, Wang XY, Ren WY, Zhang XQ, Wu W, Li X, Dai LQ, Lv YL. Resting-state functional magnetic resonance imaging and support vector machines for the diagnosis of major depressive disorder in adolescents. World J Psychiatry 2024; 14(11): 1696-1707
URL: https://www.wjgnet.com/2220-3206/full/v14/i11/1696.htm
DOI: https://dx.doi.org/10.5498/wjp.v14.i11.1696