SynthesisAging2021
Cortical thickness in Parkinson's disease: a coordinate-based meta-analysis.
Synthesis in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Altered cortical thickness in type 2 diabetes mellitus patients revealed by coordinate-based meta-analysis.BMC endocrine disorders · 2026Pooled it
- Machine learning methods for the detection and prediction of cognitive impairment in Parkinson's disease: a systematic review and meta-analysis.Frontiers in aging neuroscience · 2025Pooled it
- Gray Matter Volume Abnormality in Chronic Pain Patients With Depressive Symptoms: A Systemic Review and Meta-Analysis of Voxel-Based Morphometry Studies.Frontiers in neuroscience · 2022Pooled it
- Multimodal Neuroimaging Reveals Distinct Characteristics of Levodopa-Induced Dyskinesias in de novo Parkinson's Disease Patients.Brain topography · 2026Article
- Supplementary motor area microstructure defines the extent of gait impairment in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Decreased Cortical Sulcus Depth in Parkinson's Disease with Excessive Daytime Sleepiness.Clinical neuroradiology · 2025Article
- Glymphatic dysfunction exacerbates cognitive decline by triggering cortical degeneration in Parkinson's disease: evidence from diffusion-tensor MRI.Brain communications · 2025Article
- Evaluation of non-motor symptoms in Parkinson's disease using multiparametric MRI with the multiplex sequence.Frontiers in aging neuroscience · 2025Article
- Depression is associated with the nonmotor symptoms of Parkinson's disease: A comparative analysis.Health science reports · 2024Article
- Alterations of Cortical Structure and Neurophysiology in Parkinson's Disease Are Aligned with Neurochemical Systems.Annals of neurology · 2024Article
- Association of Cortical Gyrification With Imaging and Serum Biomarkers in Patients With Parkinson Disease.Neurology · 2023Article
- Structural and neurophysiological alterations in Parkinson's disease are aligned with cortical neurochemical systems.medRxiv : the preprint server for health sciences · 2023Article
- Brain Surface Area Alterations Correlate With Gait Impairments in Parkinson's Disease.Frontiers in aging neuroscience · 2022Article
- Focusing on Comorbidity-A Novel Meta-Analytic Approach and Protocol to Disentangle the Specific Neuroanatomy of Co-occurring Mental Disorders.Frontiers in psychiatry · 2021Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Parkinson's disease (PD) is a common age-related neurodegenerative disease that affects the structural architecture of the cerebral cortex. Cortical thickness (CTh) via surface-based morphometry (SBM) analysis is a popular measure to assess brain structural alterations in the gray matter in PD. However, the results of CTh analysis in PD lack consistency and have not been systematically reviewed. We conducted a comprehensive coordinate-based meta-analysis (CBMA) of 38 CTh studies (57 comparison datasets) in 1,843 patients with PD using the latest seed-based d mapping software. Compared with 1,172 healthy controls, no significantly consistent CTh alterations were found in patients with PD, suggesting CTh as an unreliable neuroimaging marker for PD. The lack of consistent CTh alterations in PD could be ascribed to the heterogeneity in clinical populations, variations in imaging methods, and underpowered small sample sizes. These results highlight the need to control for potential confounding factors to produce robust and reproducible CTh results in PD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.