ArticleBrain communications2022
A data-driven model of brain volume changes in progressive supranuclear palsy.
Article in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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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.
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Who cites it
19 citing papers in PubMed, 24 citations in OpenAlex.
- ISSLS Prize in Clinical Science 2026: Data-driven classification of lumbar spine degeneration trajectories in chronic low back pain.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Hypothalamic atrophy in progressive supranuclear palsy, assessed by convolutional neural network-based automatic segmentation.Journal of neurology · 2026Article
- Subregional thalamic atrophy in Progressive Supranuclear Palsy: A machine learning study.NeuroImage. Clinical · 2026Article
- Neuropathology of Lewy body dementia: Lewy-related pathology, α-synuclein oligomers, and comorbid pathologies.Molecular neurodegeneration · 2025Review
- The Spectrum of Cognitive Impairment in Atypical Parkinsonism Syndromes: A Comprehensive Review of Current Understanding and Research.Diseases (Basel, Switzerland) · 2025Review
- Distinct spatiotemporal atrophy patterns in corticobasal syndrome are associated with different underlying pathologies.Brain communications · 2025Article
- Deep Learning-based Approach for Brainstem and Ventricular MR Planimetry: Application in Patients with Progressive Supranuclear Palsy.Radiology. Artificial intelligence · 2024Article
- The significance of glial cell line-derived neurotrophic factor analysis in Progressive Supranuclear Palsy.Scientific reports · 2024Article
- Data-driven modelling of neurodegenerative disease progression: thinking outside the black box.Nature reviews. Neuroscience · 2024Review
- Staging of progressive supranuclear palsy-Richardson syndrome using MRI brain charts for the human lifespan.Brain communications · 2024Article
- Patterns of brain volume and metabolism predict clinical features in the progressive supranuclear palsy spectrum.Brain communications · 2024Article
- Differentiating between common PSP phenotypes using structural MRI: a machine learning study.Journal of neurology · 2023Article
- sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering.Information processing in medical imaging : proceedings of the ... conference · 2023Article
- Deep Learning Aided Neuroimaging and Brain Regulation.Sensors (Basel, Switzerland) · 2023Review
- Pathomechanisms of cognitive impairment in progressive supranuclear palsy.Journal of neural transmission (Vienna, Austria : 1996) · 2023Review
- Uncovering spatiotemporal patterns of atrophy in progressive supranuclear palsy using unsupervised machine learning.Brain communications · 2023Article
- The Use of Cerebellar Hypoperfusion Assessment in the Differential Diagnosis of Multiple System Atrophy with Parkinsonism and Progressive Supranuclear Palsy-Parkinsonism Predominant.Diagnostics (Basel, Switzerland) · 2022Article
- The Assessment of Subregions in the Frontal Lobe May Be Feasible in the Differential Diagnosis of Progressive Supranuclear Palsy-Parkinsonism Predominant (PSP-P) and Multiple System Atrophy (MSA).Diagnostics (Basel, Switzerland) · 2022Article
- Inferring the sequence of brain volume changes in progressive supranuclear palsy using MRI.Brain communications · 2022Article
Corrections and comments
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Authors and funding
14 authors at 5 institutions in 2 countries.
Funding
Abstract
The most common clinical phenotype of progressive supranuclear palsy is Richardson syndrome, characterized by levodopa unresponsive symmetric parkinsonism, with a vertical supranuclear gaze palsy, early falls and cognitive impairment. There is currently no detailed understanding of the full sequence of disease pathophysiology in progressive supranuclear palsy. Determining the sequence of brain atrophy in progressive supranuclear palsy could provide important insights into the mechanisms of disease progression, as well as guide patient stratification and monitoring for clinical trials. We used a probabilistic event-based model applied to cross-sectional structural MRI scans in a large international cohort, to determine the sequence of brain atrophy in clinically diagnosed progressive supranuclear palsy Richardson syndrome. A total of 341 people with Richardson syndrome (of whom 255 had 12-month follow-up imaging) and 260 controls were included in the study. We used a combination of 12-month follow-up MRI scans, and a validated clinical rating score (progressive supranuclear palsy rating scale) to demonstrate the longitudinal consistency and utility of the event-based model's staging system. The event-based model estimated that the earliest atrophy occurs in the brainstem and subcortical regions followed by progression caudally into the superior cerebellar peduncle and deep cerebellar nuclei, and rostrally to the cortex. The sequence of cortical atrophy progresses in an anterior to posterior direction, beginning in the insula and then the frontal lobe before spreading to the temporal, parietal and finally the occipital lobe. This
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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 Socratic graph.