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Updated: Sep 4, 2025

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
Published on: June 9, 2018
Functional brain changes in Parkinson's disease: a whole brain ALE study.
Resting-state fMRI studies show inconsistent results in Parkinson's disease (PD). This meta-analysis reveals widespread functional brain deficits in PD patients, potentially aiding early diagnosis.
Area of Science:
- Neuroscience
- Radiology
- Medical Imaging
Background:
- Resting-state functional magnetic resonance imaging (rs-fMRI) is a valuable tool for diagnosing neurodegenerative diseases.
- Previous rs-fMRI studies have yielded inconsistent findings when comparing Parkinson's disease (PD) patients with healthy controls (HC).
Purpose of the Study:
- To conduct a meta-analysis of activation likelihood estimation (ALE) to identify consistent functional brain changes in PD.
- To clarify discrepancies in prior rs-fMRI findings for PD.
Main Methods:
- A systematic literature search was performed across PubMed, Web of Science, and Google Scholar for studies published before December 2021.
- Activation Likelihood Estimation (ALE) meta-analysis was employed to synthesize functional changes observed in PD patients.
Main Results:
- The meta-analysis included 25 studies with 973 PD patients and 766 HC.
- PD patients exhibited altered amplitude of low-frequency fluctuations (ALFF) in regions including the superior temporal gyrus, superior frontal gyrus, medial frontal gyrus, precuneus, and lentiform nucleus.
- Reduced regional homogeneity (ReHo) was observed in the declive, medial frontal gyrus, culmen, and thalamus, while increased ReHo was found in the right superior frontal gyrus.
- Decreased functional connectivity (FC) was noted in the right posterior cingulate cortex in PD patients compared to HC.
Conclusions:
- The ALE meta-analysis confirms significant functional brain deficits in motor, emotion, and cognition-related areas in PD.
- These identified rs-fMRI functional deficits may serve as biomarkers for the early diagnosis of PD.
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