Frontiers in Neurology (Oct 2020)
Long Longitudinal Tract Lesion Contributes to the Progression of Alzheimer's Disease
- Caimei Luo,
- Caimei Luo,
- Caimei Luo,
- Caimei Luo,
- Mengchun Li,
- Mengchun Li,
- Mengchun Li,
- Mengchun Li,
- Ruomeng Qin,
- Ruomeng Qin,
- Ruomeng Qin,
- Ruomeng Qin,
- Haifeng Chen,
- Haifeng Chen,
- Haifeng Chen,
- Haifeng Chen,
- Lili Huang,
- Lili Huang,
- Lili Huang,
- Lili Huang,
- Dan Yang,
- Dan Yang,
- Dan Yang,
- Dan Yang,
- Qing Ye,
- Qing Ye,
- Qing Ye,
- Qing Ye,
- Renyuan Liu,
- Renyuan Liu,
- Renyuan Liu,
- Renyuan Liu,
- Yun Xu,
- Yun Xu,
- Yun Xu,
- Yun Xu,
- Hui Zhao,
- Hui Zhao,
- Hui Zhao,
- Hui Zhao,
- Feng Bai,
- Feng Bai,
- Feng Bai,
- Feng Bai
Affiliations
- Caimei Luo
- The State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Affiliated Drum Tower Hospital of Medical School, Institute of Brain Science, Nanjing University, Nanjing, China
- Caimei Luo
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Caimei Luo
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Caimei Luo
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
- Mengchun Li
- The State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Affiliated Drum Tower Hospital of Medical School, Institute of Brain Science, Nanjing University, Nanjing, China
- Mengchun Li
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Mengchun Li
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Mengchun Li
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
- Ruomeng Qin
- The State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Affiliated Drum Tower Hospital of Medical School, Institute of Brain Science, Nanjing University, Nanjing, China
- Ruomeng Qin
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Ruomeng Qin
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Ruomeng Qin
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
- Haifeng Chen
- The State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Affiliated Drum Tower Hospital of Medical School, Institute of Brain Science, Nanjing University, Nanjing, China
- Haifeng Chen
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Haifeng Chen
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Haifeng Chen
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
- Lili Huang
- The State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Affiliated Drum Tower Hospital of Medical School, Institute of Brain Science, Nanjing University, Nanjing, China
- Lili Huang
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Lili Huang
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Lili Huang
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
- Dan Yang
- The State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Affiliated Drum Tower Hospital of Medical School, Institute of Brain Science, Nanjing University, Nanjing, China
- Dan Yang
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Dan Yang
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Dan Yang
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
- Qing Ye
- The State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Affiliated Drum Tower Hospital of Medical School, Institute of Brain Science, Nanjing University, Nanjing, China
- Qing Ye
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Qing Ye
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Qing Ye
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
- Renyuan Liu
- The State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Affiliated Drum Tower Hospital of Medical School, Institute of Brain Science, Nanjing University, Nanjing, China
- Renyuan Liu
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Renyuan Liu
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Renyuan Liu
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
- Yun Xu
- The State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Affiliated Drum Tower Hospital of Medical School, Institute of Brain Science, Nanjing University, Nanjing, China
- Yun Xu
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Yun Xu
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Yun Xu
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
- Hui Zhao
- The State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Affiliated Drum Tower Hospital of Medical School, Institute of Brain Science, Nanjing University, Nanjing, China
- Hui Zhao
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Hui Zhao
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Hui Zhao
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
- Feng Bai
- The State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Affiliated Drum Tower Hospital of Medical School, Institute of Brain Science, Nanjing University, Nanjing, China
- Feng Bai
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Feng Bai
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Feng Bai
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
- DOI
- https://doi.org/10.3389/fneur.2020.503235
- Journal volume & issue
-
Vol. 11
Abstract
Background: The degenerative pattern of white matter (WM) microstructures during Alzheimer's disease (AD) and its relationship with cognitive function have not yet been clarified. The present research aimed to explore the alterations of the WM microstructure and its impact on amnestic mild cognitive (aMCI) and AD patients. Mechanical learning methods were used to explore the validity of WM microstructure lesions on the classification in AD spectrum disease.Methods: Neuropsychological data and diffusion tensor imaging (DTI) images were collected from 28 AD subjects, 31 aMCI subjects, and 27 normal controls (NC). Tract-based spatial statistics (TBSS) were used to extract diffusion parameters in WM tracts. We performed ANOVA analysis to compare diffusion parameters and clinical features among the three groups. Partial correlation analysis was used to explore the relationship between diffusion metrics and cognitive functions controlling for age, gender, and years of education. Additionally, we performed the support vector machine (SVM) classification to determine the discriminative ability of DTI metrics in the differentiation of aMCI and AD patients from controls.Results: As compared to controls or aMCI patients, AD patients displayed widespread WM lesions, including in the inferior longitudinal fasciculus, inferior fronto-occipital fasciculi, and superior longitudinal fasciculus. Significant correlations between fractional anisotropy (FA), mean diffusivity (MD), and radial diffusion (RD) of the long longitudinal tract and memory deficits were found in aMCI and AD groups, respectively. Furthermore, through SVM classification, we found DTI indicators generated by FA and MD parameters can effectively distinguish AD patients from the control group with accuracy rates of up to 89 and 85%, respectively.Conclusion: The WM microstructure is extensively disrupted in AD patients, and the WM integrity of the long longitudinal tract is closely related to memory, which would hold potential value for monitoring the progression of AD. The method of classification based on SVM and WM damage features may be objectively helpful to the classification of AD diseases.
Keywords
- Alzheimer's disease
- white matter damage
- cognitive impairment
- diffusion tensor imaging
- support vector machine