ReviewMovement disorders clinical practice2025
Neuroimaging Techniques in Huntington's Disease: A Critical Review.
Review in Movement disorders clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Neuroimaging Insights into the Public Health Burden of Neuropsychiatric Disorders: A Systematic Review of Electroencephalography-Based Cognitive Biomarkers.Medicina (Kaunas, Lithuania) · 2025Pooled it
- Developing prognostic models that predict onset and progression rates in genetic neurodegenerative diseases: perspectives of healthcare professionals in genetic counselling.Orphanet journal of rare diseases · 2026Article
- AI-driven magnetoencephalography biomarkers in dementia risk prediction: current evidence, challenges and future perspectives.Frontiers in dementia · 2026Review
- Material-based neuroimaging and biomarker detection for central nervous system disorder.Materials today. Bio · 2025Review
- Isoindolinone-Derived PET Tracers for Molecular Imaging of mHTT Aggregates in Huntington's Disease.ACS medicinal chemistry letters · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHuntington's disease (HD) is a hereditary neurodegenerative disorder characterized by cognitive, neuropsychiatric and motor symptoms caused by a CAG trinucleotide repeat expansion in the huntingtin gene. Imaging techniques are crucial for understanding HD pathophysiology and monitoring disease progression.
objectivesThis review is targeted at general neurologists and movement disorders specialists with an interest in HD and aims to bring complex imaging, including new experimental techniques, closer to the practicing clinician.
methodsWe provide a summary of findings from conventional structural, diffusion and functional imaging in HD studies, together with an update on emerging novel techniques, including multiparametric mapping, multi-shell diffusion techniques, ultra-high field 7-Tesla MRI, positron emission tomography and magnetoencephalography.
resultsConventional imaging techniques have deepened our understanding of neuropathological progression in HD, from striatal atrophy to widespread cortical and white matter changes. The integration of novel imaging techniques reviewed has further improved our ability to interrogate, quantify and visualize disease-specific alterations with high precision.
conclusionsNovel imaging techniques have promising roles to further our understanding of HD pathology and as imaging markers for clinical trials, disease staging and therapeutic monitoring. Additionally, the synergistic potential of combining imaging modalities with molecular and genetic data, along with wet biomarkers and clinical data, will help provide a complete and comprehensive view of HD pathology and progression.
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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.