ArticleCortex; a journal devoted to the study of the nervous system and behavior2021
Reclassifying stroke lesion anatomy.
Article in Cortex; a journal devoted to the study of the nervous system and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Hemispheric asymmetries in rodent models of neurological diseases: a systematic review.Frontiers in integrative neuroscience · 2026Pooled it
- The relevance of rich club regions for functional outcome post-stroke is enhanced in women.Human brain mapping · 2023Trial
- The Influence of Contralesional Brain Age Gradients on Chronic Stroke Aphasia Severity and Treatment Response.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Effect of vascular lesion preprocessing on Brain Intensity AbNormality Classification Algorithm (BIANCA) white matter hyperintensity segmentation.NeuroImage. Clinical · 2026Article
- Individualized prescriptive inference in ischaemic stroke.Nature communications · 2025Article
- Neurotransmitters' white matter mapping unveils the neurochemical fingerprints of stroke.Nature communications · 2025Article
- Post-stroke fatigue - a multidimensional problem or a cluster of disorders? A case for phenotyping post-stroke fatigue.The Journal of physiology · 2025Review
- InceptionV4 and SEResNet101: precise predictors of intracranial hemorrhage and collateral circulation post-ischemic stroke intervention.Frontiers in neurology · 2025Article
- Cognitive control & the anterior cingulate cortex: Necessity & coherence.Cortex; a journal devoted to the study of the nervous system and behavior · 2025Article
- Prediction of stroke severity: systematic evaluation of lesion representations.Annals of clinical and translational neurology · 2024Article
- Computational limits to the legibility of the imaged human brain.NeuroImage · 2024Article
- A roadmap for research in post-stroke fatigue: Consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable.International journal of stroke : official journal of the International Stroke Society · 2024Article
- A roadmap for research in post-stroke fatigue: Consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable.Neurorehabilitation and neural repair · 2024Article
- Mechanisms of Post-Stroke Fatigue: A Follow-Up From the Third Stroke Recovery and Rehabilitation Roundtable.Neurorehabilitation and neural repair · 2024Review
- Scaling behaviours of deep learning and linear algorithms for the prediction of stroke severity.Brain communications · 2024Article
- Latent disconnectome prediction of long-term cognitive-behavioural symptoms in stroke.Brain : a journal of neurology · 2023Article
- The elusive metric of lesion load.Brain structure & function · 2023Review
- Optimal CT perfusion thresholds for core and penumbra in acute posterior circulation infarction.Frontiers in neurology · 2023Article
- A Focus on the Role of DSC-PWI Dynamic Radiomics Features in Diagnosis and Outcome Prediction of Ischemic Stroke.Journal of clinical medicine · 2022Article
- Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence.Brain : a journal of neurology · 2022Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cognitive and behavioural outcomes in stroke reflect the interaction between two complex anatomically-distributed patterns: the functional organization of the brain and the structural distribution of ischaemic injury. Conventional outcome models-for individual prediction or population-level inference-commonly ignore this complexity, discarding anatomical variation beyond simple characteristics such as lesion volume. This sets a hard limit on the maximum fidelity such models can achieve. High-dimensional methods can overcome this problem, but only at prohibitively large data scales. Drawing on one of the largest published collections of anatomically-registered imaging of acute stroke-N = 1333-here we use non-linear dimensionality reduction to derive a succinct latent representation of the anatomical patterns of ischaemic injury, agglomerated into 21 distinct intuitive categories. We compare the maximal predictive performance it enables against both simpler low-dimensional and more complex high-dimensional representations, employing multiple empirically-informed ground truth models of distributed structure-outcome relationships. We show our representation sets a substantially higher ceiling on predictive fidelity than conventional low-dimensional approaches, but lower than that achievable within a high-dimensional framework. Where descriptive simplicity is a necessity, such as within clinical care or research trials of modest size, the representation we propose arguably offers a favourable compromise of compactness and fidelity.
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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.