A Machine Learning Approach for investigation of white matter abnormalities in Parkinson’s disease

Xiao Hu; Chaoyong Xiao; Xiangrong Zhang; Sidong Liu; Zaixu Cui; Weiguo Liu; Long Qian

A Machine Learning Approach for investigation of white matter abnormalities in Parkinson’s disease

Xiao Hu, Chaoyong Xiao, Xiangrong Zhang, Sidong Liu, Zaixu Cui, Weiguo Liu, Long Qian

Department of Clinical Medicine

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Abstract

Parkinson's disease (PD) is a common neurodegenerative disorder characterized by disabling motor and non-motor symptoms.1 The abnormalities of white-matter (WM) tracts/regions have been demonstrated in PD. However, previous studies have largely dependent on univariate analysis, such as t-test, which may result in Type-1 error. Further, it remains unclear whether the disruption of WM tracts/regions provided worthwhile information to identify PD from HC. Hence, in current study, a machine learning approach was applied to investigate the white matter profiles of PD.

Original language	English
Publication status	Accepted/In press - Apr 2020

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Maintext3_huxiaoAccepted author manuscript, 198 KBLicence: Unspecified

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Hu, X., Xiao, C., Zhang, X., Liu, S., Cui, Z., Liu, W., & Qian, L. (Accepted/In press). A Machine Learning Approach for investigation of white matter abnormalities in Parkinson’s disease.

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title = "A Machine Learning Approach for investigation of white matter abnormalities in Parkinson’s disease",

abstract = "Parkinson's disease (PD) is a common neurodegenerative disorder characterized by disabling motor and non-motor symptoms.1 The abnormalities of white-matter (WM) tracts/regions have been demonstrated in PD. However, previous studies have largely dependent on univariate analysis, such as t-test, which may result in Type-1 error. Further, it remains unclear whether the disruption of WM tracts/regions provided worthwhile information to identify PD from HC. Hence, in current study, a machine learning approach was applied to investigate the white matter profiles of PD.",

author = "Xiao Hu and Chaoyong Xiao and Xiangrong Zhang and Sidong Liu and Zaixu Cui and Weiguo Liu and Long Qian",

year = "2020",

month = "4",

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TY - CONF

T1 - A Machine Learning Approach for investigation of white matter abnormalities in Parkinson’s disease

AU - Hu, Xiao

AU - Xiao, Chaoyong

AU - Zhang, Xiangrong

AU - Liu, Sidong

AU - Cui, Zaixu

AU - Liu, Weiguo

AU - Qian, Long

PY - 2020/4

Y1 - 2020/4

N2 - Parkinson's disease (PD) is a common neurodegenerative disorder characterized by disabling motor and non-motor symptoms.1 The abnormalities of white-matter (WM) tracts/regions have been demonstrated in PD. However, previous studies have largely dependent on univariate analysis, such as t-test, which may result in Type-1 error. Further, it remains unclear whether the disruption of WM tracts/regions provided worthwhile information to identify PD from HC. Hence, in current study, a machine learning approach was applied to investigate the white matter profiles of PD.

AB - Parkinson's disease (PD) is a common neurodegenerative disorder characterized by disabling motor and non-motor symptoms.1 The abnormalities of white-matter (WM) tracts/regions have been demonstrated in PD. However, previous studies have largely dependent on univariate analysis, such as t-test, which may result in Type-1 error. Further, it remains unclear whether the disruption of WM tracts/regions provided worthwhile information to identify PD from HC. Hence, in current study, a machine learning approach was applied to investigate the white matter profiles of PD.

M3 - Abstract

ER -