Characterizing resting‐state networks in Parkinson’s disease: A multi‐aspect functional connectivity study-Reference-Cited by-同舟云学术

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Characterizing resting‐state networks in Parkinson’s disease: A multi‐aspect functional connectivity study

Published:2021-03-30 Issue:5 Volume:11 Page:
ISSN:2162-3279
Container-title:Brain and Behavior
language:en
Short-container-title:Brain Behav

Author:

Ghasemi Mahdieh¹^ORCID,Foroutannia Ali¹^ORCID,Babajani‐Feremi Abbas²³^ORCID

Affiliation:

1. Neural Engineering Laboratory Department of Biomedical Engineering University of Neyshabur Neyshabur Iran

2. Department of Neurology Dell Medical School The University of Texas at Austin Austin TX USA

3. Magnetoencephalography Lab Dell Children's Medical Center Austin TX USA

Publisher

Wiley

Subject

Behavioral Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/brb3.2101

Reference64 articles.

1. Group-ICA Model Order Highlights Patterns of Functional Brain Connectivity

2. Voxel-Based Morphometry—The Methods

3. Resting‐state network dysfunction in Alzheimer's disease: A systematic review and meta‐analysis

4. Resting-state frontostriatal functional connectivity in Parkinson's disease-related apathy

5. Cognitive impairment and resting-state network connectivity in Parkinson's disease

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1. Characterizing the Visual Cortex Function in Cognitive Task-Induced Mental Load: An Functional Magnetic Resonance Imaging Study;Brain Connectivity;2024-04-01

2. Effects of repetitive transcranial magnetic stimulation and their underlying neural mechanisms evaluated with magnetic resonance imaging-based brain connectivity network analyses;European Journal of Radiology Open;2023

3. Pre-surgical features of intrinsic brain networks predict single and joint epilepsy surgery outcomes;NeuroImage: Clinical;2023

4. A PID controller for synchronization between master-slave neurons in fractional-order of neocortical network model;Journal of Theoretical Biology;2023-01

5. Investigation of linear and non-linear functional connectivity within resting-state networks using graph theory in Parkinson's disease;2022-12-07

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