Abnormal postcentral gyrus voxel-mirrored homotopic connectivity as a biomarker of mild cognitive impairment: A resting-state fMRI and support vector machine analysis

IF 3.9
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Abstract

Background

While patients affected by mild cognitive impairment (MCI) exhibit characteristic voxel-mirrored homotopic connectivity (VMHC) alterations, the ability of such VMHC abnormalities to predict the diagnosis of MCI in these patients remains uncertain. As such, this study was performed to evaluate the potential role of VMHC abnormalities in the diagnosis of MCI.

Methods

MCI patients and healthy controls (HCs) were enrolled and subjected to resting-state functional magnetic resonance imaging (rs-fMRI) and neuropsychological testing. VMHC and support vector machine (SVM) techniques were then used to examine the collected imaging data.

Results

Totally, 53 MCI patients and 68 healthy controls were recruited. Compared to HCs, MCI patients presented with an increase in postcentral gyrus VMHC. SVM classification demonstrated the ability of postcentral gyrus VMHC values to classify HCs and MCI patients with accuracy, sensitivity, and specificity values of 63.64 %, 71.69 %, and 89.71 %, respectively.

Conclusion

VMHC abnormalities in the postcentral gyrus may be mechanistically involved in the pathophysiological progression of MCI patients, and these abnormal VMHC patterns may also offer utility as a neuroimaging biomarker for MCI patient diagnosis.

作为轻度认知障碍生物标志物的异常中央后回体素-镜像同位连接:静息态 fMRI 和支持向量机分析。
背景:虽然轻度认知障碍(MCI)患者会表现出特征性的体素映射同位连接(VMHC)改变,但这种VMHC异常能否预测这些患者的MCI诊断仍不确定。因此,本研究旨在评估 VMHC 异常在 MCI 诊断中的潜在作用:方法:招募 MCI 患者和健康对照组(HCs),对他们进行静息态功能磁共振成像(rs-fMRI)和神经心理学测试。然后使用 VMHC 和支持向量机(SVM)技术检查收集到的成像数据:共招募了 53 名 MCI 患者和 68 名健康对照者。与健康对照组相比,MCI患者的中央后回VMHC有所增加。SVM分类表明,中心后回VMHC值能够对HC和MCI患者进行分类,准确率、灵敏度和特异性分别为63.64%、71.69%和89.71%:中央后回的VMHC异常可能从机理上参与了MCI患者的病理生理学进展,这些异常的VMHC模式也可作为诊断MCI患者的神经影像生物标记物。
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来源期刊
Experimental gerontology
Experimental gerontology Ageing, Biochemistry, Geriatrics and Gerontology
CiteScore
6.70
自引率
0.00%
发文量
0
审稿时长
66 days
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