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. 2022 Sep 1:14:979183.
doi: 10.3389/fnagi.2022.979183. eCollection 2022.

Abnormal regional homogeneity in right caudate as a potential neuroimaging biomarker for mild cognitive impairment: A resting-state fMRI study and support vector machine analysis

Yujun Gao  1 , Xinfu Zhao  2 , JiChao Huang  3 , Sanwang Wang  1 , Xuan Chen  4 , Mingzhe Li  5 , Fengjiao Sun  6 , Gaohua Wang  1 , Yi Zhong  7   8
Affiliations

Abnormal regional homogeneity in right caudate as a potential neuroimaging biomarker for mild cognitive impairment: A resting-state fMRI study and support vector machine analysis

Yujun Gao et al. Front Aging Neurosci. .

Abstract

Objective: Mild cognitive impairment (MCI) is a heterogeneous syndrome characterized by cognitive impairment on neurocognitive tests but accompanied by relatively intact daily activities. Due to high variation and no objective methods for diagnosing and treating MCI, guidance on neuroimaging is needed. The study has explored the neuroimaging biomarkers using the support vector machine (SVM) method to predict MCI.

Methods: In total, 53 patients with MCI and 68 healthy controls were involved in scanning resting-state functional magnetic resonance imaging (rs-fMRI). Neurocognitive testing and Structured Clinical Interview, such as Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) test, Activity of Daily Living (ADL) Scale, Hachinski Ischemic Score (HIS), Clinical Dementia Rating (CDR), Montreal Cognitive Assessment (MoCA), and Hamilton Rating Scale for Depression (HRSD), were utilized to assess participants' cognitive state. Neuroimaging data were analyzed with the regional homogeneity (ReHo) and SVM methods.

Results: Compared with healthy comparisons (HCs), ReHo of patients with MCI was decreased in the right caudate. In addition, the SVM classification achieved an overall accuracy of 68.6%, sensitivity of 62.26%, and specificity of 58.82%.

Conclusion: The results suggest that abnormal neural activity in the right cerebrum may play a vital role in the pathophysiological process of MCI. Moreover, the ReHo in the right caudate may serve as a neuroimaging biomarker for MCI, which can provide objective guidance on diagnosing and managing MCI in the future.

Keywords: biomarker; fMRI; machine learning; mild cognitive impairment; neuroimaging; regional homogeneity; support vector machine.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
ReHo differences between patients with MCI and HCs. Red and blue denote higher and lower ReHo, respectively, and the color bars represent the t-values from the t-test of the group analysis. ReHo, regional homogeneity; MCI, mild cognitive impairment; HCs, healthy comparisons.
Figure 2
Figure 2
Visualizing classifications based on support vector machine (SVM) by the decreased regional homogeneity (ReHo) values in the right caudate to discriminate patients with mild cognitive impairment (MCI) from healthy comparisons. (Left) SVM parameters' result of 3D view. (Right) Classified map of the ReHo values in the right caudate.
See this image and copyright information in PMC

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