Aberrant functional connectivity and activity in Parkinson’s disease and comorbidity with depression based on radiomic analysis-Reference-Cited by-同舟云学术

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Aberrant functional connectivity and activity in Parkinson’s disease and comorbidity with depression based on radiomic analysis

Published:2021-03-10 Issue:5 Volume:11 Page:
ISSN:2162-3279
Container-title:Brain and Behavior
language:en
Short-container-title:Brain Behav

Author:

Zhang Xulian¹²,Cao Xuan³,Xue Chen¹²,Zheng Jingyi⁴,Zhang Shaojun⁵,Huang Qingling¹²^ORCID,Liu Weiguo⁶

Affiliation:

1. Department of Radiology Nanjing Medical University Affiliated Nanjing Brain Hospital Nanjing China

2. Institute of Brain Functional ImagingNanjing Medical University Nanjing China

3. Division of Statistics and Data Science Department of Mathematical Sciences University of Cincinnati Cincinnati USA

4. Department of Mathematics and Statistics Auburn University Auburn USA

5. Department of Statistics University of Florida Gainesville USA

6. Department of Neurology Nanjing Medical University Affiliated Nanjing Brain Hospital Nanjing China

Funder

Simons Foundation

Publisher

Wiley

Subject

Behavioral Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/brb3.2103

Reference43 articles.

1. Discriminating cognitive status in Parkinson’s disease through functional connectomics and machine learning

2. A Radiomics Approach to Predicting Parkinson’s Disease by Incorporating Whole-Brain Functional Activity and Gray Matter Structure

3. Neuroimaging of depression in Parkinson's disease: a review

4. Magnetic resonance support vector machine discriminates essential tremor with rest tremor from tremor-dominant Parkinson disease

5. Correlation Between Hippocampus MRI Radiomic Features and Resting-State Intrahippocampal Functional Connectivity in Alzheimer’s Disease

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1. Causal Forest Machine Learning Analysis of Parkinson’s Disease in Resting-State Functional Magnetic Resonance Imaging;Tomography;2024-06-06

2. Development of network‐guided transcriptomic risk score for disease prediction;Stat;2024-01

3. Prediction of Early Antidepressant Efficacy in Patients with Major Depressive Disorder Based on Multidimensional Features of rs-fMRI and P11 Gene DNA Methylation;The Canadian Journal of Psychiatry;2023-11-03

4. Disrupted topologic efficiency of brain functional connectome in de novo Parkinson's disease with depression;European Journal of Neuroscience;2023-10-19

5. Altered regional homogeneity and homotopic connectivity in Chinese breast cancer survivors with fear of cancer recurrence: A resting-state fMRI study;Journal of Psychosomatic Research;2023-10

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