Use of machine learning method on automatic classification of motor subtype of Parkinson's disease based on multilevel indices of rs-fMRI-Reference-Cited by-同舟云学术

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Use of machine learning method on automatic classification of motor subtype of Parkinson's disease based on multilevel indices of rs-fMRI

Published:2021-09 Issue: Volume:90 Page:65-72
ISSN:1353-8020
Container-title:Parkinsonism & Related Disorders
language:en
Short-container-title:Parkinsonism & Related Disorders

Author:

Pang HuiZe,Yu ZiYang,Yu HongMei,Cao JiBin,Li YingMei,Guo MiaoRan,Cao ChengHao,Fan GuoGuang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Neurology (clinical),Geriatrics and Gerontology,Neurology

Reference33 articles.

1. MDS clinical diagnostic criteria for Parkinson's disease;Postuma;Mov. Disord.,2015

2. Systematic evaluation of rating scales for impairment and disability in Parkinson's disease;Ramaker;Mov. Disord.,2002

3. Variable expression of Parkinson's disease: a base-line analysis of the DATATOP cohort. The Parkinson Study Group;Jankovic;Neurology,1990

4. Local synchronization and amplitude of the fluctuation of spontaneous brain activity in attention-deficit/hyperactivity disorder: a resting-state fMRI study;An;Neurosci Bull,2013

5. A clinico-pathological study of subtypes in Parkinson's disease;Selikhova;Brain,2009

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