ReviewNature reviews. Neurology2014
Neuroimaging in Parkinson disease: from research setting to clinical practice.
Review in Nature reviews. Neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
129 citing papers in PubMed, 6 syntheses or guidelines pooled it, 247 citations in OpenAlex.
- Abnormalities of cerebral blood flow and the regional brain function in Parkinson's disease: a systematic review and multimodal neuroimaging meta-analysis.Frontiers in neurology · 2023Pooled it
- Coordinate based meta-analysis of motor functional imaging in Parkinson's: disease-specific patterns and modulation by dopamine replacement and deep brain stimulation.Brain imaging and behavior · 2020Pooled it
- Diffusion Tensor Imaging-Based Studies at the Group-Level Applied to Animal Models of Neurodegenerative Diseases.Frontiers in neuroscience · 2020Pooled it
- Consistent decreased activity in the putamen in Parkinson's disease: a meta-analysis and an independent validation of resting-state fMRI.GigaScience · 2018Pooled it
- A systematic review of lessons learned from PET molecular imaging research in atypical parkinsonism.European journal of nuclear medicine and molecular imaging · 2016Pooled it
- Current status of PET imaging in Huntington's disease.European journal of nuclear medicine and molecular imaging · 2016Pooled it
- Magnetic resonance T1w/T2w ratio: A parsimonious marker for Parkinson disease.Annals of neurology · 2019Trial
- Combined Diffusion Tensor Imaging and Arterial Spin Labeling as Markers of Early Parkinson's disease.Scientific reports · 2016Trial
- Neurometabolic Signatures of Alexithymia and Visuospatial Abilities in Parkinson's Disease: An ExploratoryJournal of clinical medicine · 2026Article
- High intensity interval training for Parkinson's disease: A scoping review of systemic effects and physiological adaptations.Journal of Parkinson's disease · 2026Article
- Data-driven subtyping of Parkinson's disease using MRI: current insights, challenges, and future directions.Frontiers in aging neuroscience · 2026Review
- Quantitative multi-metabolite imaging of Parkinson's disease using AI boosted molecular MRI.Npj imaging · 2025Article
- Measuring Dopamine Transporter Availability and Synaptic Density in Parkinson's Disease: A Dual-Tracer Positron Emission Tomography Imaging Study.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- The Effects of Table Tennis on Motor Function and Cognitive Performance in Parkinson's Disease.Cureus · 2025Review
- Beyond Clathrin: Decoding the Mechanism of Ultrafast Endocytosis.Physiology (Bethesda, Md.) · 2025Review
- The basics of PET molecular imaging in neurodegenerative disorders with dementia and/or parkinsonism.European radiology · 2025Review
- Combining Dopamine Transporter and Amyloid PET Tracer: A Preclinical Study on Dual-Target Imaging.Molecular imaging and biology · 2025Article
- Multiparametric quantitative MRI uncovers putamen microstructural changes in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Parkinson Disease Signaling Pathways, Molecular Mechanisms, and Potential Therapeutic Strategies: A Comprehensive Review.International journal of molecular sciences · 2025Review
- Parkinson's Disease Detection via Bilateral Gait Camera Sensor Fusion Using CMSA-Net and Implementation on Portable Device.Sensors (Basel, Switzerland) · 2025Article
69 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Over the past three decades, neuroimaging studies-including structural, functional and molecular modalities-have provided invaluable insights into the mechanisms underlying Parkinson disease (PD). Observations from multimodal neuroimaging techniques have indicated changes in brain structure and metabolic activity, and an array of neurochemical changes that affect receptor sites and neurotransmitter systems. Characterization of the neurobiological alterations that lead to phenotypic heterogeneity in patients with PD has considerably aided the in vivo investigation of aetiology and pathophysiology, and the identification of novel targets for pharmacological or surgical treatments, including cell therapy. Although PD is now considered to be very complex, no neuroimaging modalities are specifically recommended for routine use in clinical practice. However, conventional MRI and dopamine transporter imaging are commonly used as adjuvant tools in the differential diagnosis between PD and nondegenerative causes of parkinsonism. First-line neuroimaging tools that could have an impact on patient prognosis and treatment strategies remain elusive. This Review discusses the lessons learnt from decades of neuroimaging research in PD, and the promising new approaches with potential applicability to clinical practice.
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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.