Investigating value of machine learning in voxel-mirrored homotopic connectivity using functional magnetic resonance imaging for AIDS patients

doi:10.19871/j.cnki.xfcrbzz.2021.01.003

Abstract

Abstract: Objective To explore the diagnostic value of voxel-mirrored homotopic connectivity（VMHC） values in the assessment of HIV-related neurocognitive disorders using magnetic resonance resting state functional imaging based on machine learning. Methods The twenty seven AIDS patients without antiviral therapy (HIV group) and 14 normal volunteers (control group) were included. Taking the neuropsychological performance(NP) test as a reference standard, the HIV patients were grouped into the HIV-associated neurocognitive disorder（HAND ）,sed using DPARSF and PRoNTo software. Results The ten brain regions in which the VMHC index contributed the most difference between the AIDS patients and the control group included the bilateral paracentral lobule, the right supplementary motor area, the bilateral precuneus,the right inferior parietal gyrus, the left supplementary motor area, the left caudate nucleus, the right postcentral lobule, the left heschl gyrus. VMHC index was no significant between HAND group and non-HAND group. The VMHC values of the bilateral supplementary motor area,the right inferior parietal gyrus, the left caudate nucleus, the right postcentral lobule, the left heschl gyrus were related to clinical scales and cognitive scores. Conclusion VMHC value is a useful marker for HAND, which may contribute to the occurrence and development of HAND.

Key words: Voxel-mirrored homotopic connectivity, Cognitive disorder, Neuropsychological performance, Support vector machine

Fu Danhui, Deng Wenjuan, Ding Qianlin, Jin Guanqiao, Liu Lidong, Zhao Yang, Huang Shaobiao, Wu Nianning, Su Danke. Investigating value of machine learning in voxel-mirrored homotopic connectivity using functional magnetic resonance imaging for AIDS patients[J]. Electronic Journal of Emerging Infectious Diseases, 2021, 6(1): 13-17.

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