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

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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
Number of pages	1
Publication status	Published - Aug 2020
Event	2020 ISMRM & SMRT Virtual Conference and Exhibition - Virtual Duration: 8 Aug 2020 → 14 Aug 2020

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Conference	2020 ISMRM & SMRT Virtual Conference and Exhibition
Period	8/08/20 → 14/08/20

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title = "A Machine Learning Approach for investigation of white matter abnormalities in Parkinson{\textquoteright}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 = aug,

language = "English",

note = "2020 ISMRM \& SMRT Virtual Conference and Exhibition ; Conference date: 08-08-2020 Through 14-08-2020",

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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 - 2020/8

Y1 - 2020/8

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

T2 - 2020 ISMRM & SMRT Virtual Conference and Exhibition

Y2 - 8 August 2020 through 14 August 2020

ER -

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

Abstract

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