The diagnostic potential of multimodal neuroimaging measures in Parkinson's disease and atypical parkinsonism-Reference-Cited by-同舟云学术

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The diagnostic potential of multimodal neuroimaging measures in Parkinson's disease and atypical parkinsonism

Published:2020-10-07 Issue:11 Volume:10 Page:
ISSN:2162-3279
Container-title:Brain and Behavior
language:en
Short-container-title:Brain Behav

Author:

Park Chang‐hyun¹²,Lee Phil Hyu³,Lee Seung‐Koo⁴,Chung Seok Jong³⁵^ORCID,Shin Na‐Young¹^ORCID

Affiliation:

1. Department of Radiology College of Medicine, The Catholic University of Korea Seoul Korea

2. Center for Neuroprosthetics and Brain Mind Institute Swiss Federal Institute of Technology (EPFL) Geneva Switzerland

3. Department of Neurology Yonsei University College of Medicine Seoul Korea

4. Department of Radiology Yonsei University College of Medicine Seoul Korea

5. Department of Neurology Yongin Severance HospitalYonsei University Health System Yongin Korea

Funder

National Research Foundation of Korea

Publisher

Wiley

Subject

Behavioral Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/brb3.1808

Reference36 articles.

1. Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

2. Riluzole treatment, survival and diagnostic criteria in Parkinson plus disorders: The NNIPPS Study

3. Voxel-based morphometry detects cortical atrophy in the Parkinson variant of multiple system atrophy

4. Decreased and increased cerebral regional homogeneity in early Parkinson's disease

5. Machine Learning in Medicine

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1. Machine Learning Approaches to Identify Affected Brain Regions in Movement Disorders Using MRI Data: A Systematic Review and Diagnostic Meta‐analysis;Journal of Magnetic Resonance Imaging;2024-03-27

2. AG-PDCnet: An Attention Guided Parkinson’s Disease Classification Network with MRI, DTI and Clinical Assessment Data;Communications in Computer and Information Science;2024

3. Role of Artificial Intelligence Techniques and Neuroimaging Modalities in Detection of Parkinson’s Disease: A Systematic Review;Cognitive Computation;2023-07-25

4. Subgrouping and structural brain connectivity of Parkinson's disease – past studies and future directions;Neuroscience Informatics;2022-12

5. Machine Learning Models for Diagnosis of Parkinson’s Disease Using Multiple Structural Magnetic Resonance Imaging Features;Frontiers in Aging Neuroscience;2022-04-13

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