A novel CERNNE approach for predicting Parkinson’s Disease-associated genes and brain regions based on multimodal imaging genetics data-Reference-Cited by-同舟云学术

A novel CERNNE approach for predicting Parkinson’s Disease-associated genes and brain regions based on multimodal imaging genetics data

Published:2021-01 Issue: Volume:67 Page:101830
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Bi Xia-an^ORCID,Hu Xi^ORCID,Xie Yiming^ORCID,Wu Hao^ORCID

Funder

Natural Science Foundation of Hunan Province

Education Department of Hunan Province

National Natural Science Foundation of China

Hunan Provincial Science and Technology Department

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

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5. Frequency of cholinergic and caudate nucleus dopaminergic deficits across the predemented cognitive spectrum of parkinson disease and evidence of interaction effectsdopaminergic deficits in parkinson diseasedopaminergic deficits in parkinson disease;Bohnen;JAMA Neurol,2015

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