ArticleBrain and behavior2021
Characterizing resting-state networks in Parkinson's disease: A multi-aspect functional connectivity study.
Article in Brain and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Altered Intra- and Inter-Network Resting-State Functional Connectivity is Associated with Neuropsychological Functioning and Clinical Symptoms in Patients with Isolated Rapid Eye Movement Sleep Behavior Disorder.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Functional Brain Network Disruptions in Parkinson's Disease: Insights from Information Theory and Machine Learning.Diagnostics (Basel, Switzerland) · 2024Article
- Advancements in surgical treatments for Huntington disease: From pallidotomy to experimental therapies.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024Review
- 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 · 2023Review
- Characterizing resting-state networks in Parkinson's disease: A multi-aspect functional connectivity study.Brain and behavior · 2021Article
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Abstract
purposeResting-state functional magnetic resonance imaging (Rs-fMRI) can be used to investigate the alteration of resting-state brain networks (RSNs) in patients with Parkinson's disease (PD) when compared with healthy controls (HCs). The aim of this study was to identify the differences between individual RSNs and reveal the most important discriminatory characteristic of RSNs between the HCs and PDs.
methodsThis study used Rs-fMRI data of 23 patients with PD and 18 HCs. Group independent component analysis (ICA) was performed, and 23 components were extracted by spatially overlapping the components with a template RSN. The extracted components were used in the following three methods to compare RSNs of PD patients and HCs: (1) a subject-specific score based on group RSNs and a dual-regression approach (namely RSN scores); (2) voxel-wise comparison of the RSNs in the PD patient and HC groups using a nonparametric permutation test; and (3) a hierarchical clustering analysis of RSNs in the PD patient and HC groups.
resultsThe results of RSN scores showed a significant decrease in connectivity in seven ICs in patients with PD compared with HCs, and this decrease was particularly striking on the lateral and medial posterior occipital cortices. The results of hierarchical clustering of the RSNs revealed that the cluster of the default mode network breaks down into the three other clusters in PD patients.
conclusionWe found various characteristics of the alteration of the RSNs in PD patients compared with HCs. Our results suggest that different characteristics of RSNs provide insights into the biological mechanism of PD.
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