ArticleHuman brain mapping2019
An empirical evaluation of multivariate lesion behaviour mapping using support vector regression.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
- Critical-Network Lesion-Symptom Mapping.Human brain mapping · 2026Article
- Methodological Choices Strongly Modulate the Sensitivity and Specificity of Lesion-Symptom Mapping Analyses.Human brain mapping · 2026Article
- Article
- Lesion-symptom mapping reveals differential relationships between language and precise versus approximate numeracy.Cortex; a journal devoted to the study of the nervous system and behavior · 2025Article
- Double dissociation of dynamic and static face perception provides causal evidence for a third visual pathway.Nature communications · 2025Article
- Using unsupervised dimensionality reduction to identify lesion patterns predictive of post-stroke aphasia severity.Cortex; a journal devoted to the study of the nervous system and behavior · 2025Article
- Post-stroke sensory hypersensitivity: insights from lesion-symptom and disconnection mapping.Brain communications · 2025Article
- Prediction of stroke severity: systematic evaluation of lesion representations.Annals of clinical and translational neurology · 2024Article
- Network-based statistics distinguish anomic and Broca's aphasia.Brain structure & function · 2024Article
- The neuroanatomy of visual extinction following right hemisphere brain damage: Insights from multivariate and Bayesian lesion analyses in acute stroke.Human brain mapping · 2024Article
- The parietal architecture binding cognition to sensorimotor integration: a multimodal causal study.Brain : a journal of neurology · 2024Article
- Multivariate lesion symptom mapping for predicting trajectories of recovery from aphasia.Brain communications · 2024Article
- Lesion mapping in neuropsychological research: A practical and conceptual guide.Cortex; a journal devoted to the study of the nervous system and behavior · 2024Article
- Ground-truth validation of uni- and multivariate lesion inference approaches.Brain communications · 2024Article
- The Effectiveness of Transcranial Magnetic Stimulation in Treating Apraxia.CNS & neurological disorders drug targets · 2024Review
- The need for hemispheric separation in pairwise structural disconnection studies.Human brain mapping · 2023Article
- Developmental prediction modeling based on diffusion tensor imaging uncovering age-dependent heterogeneity in early childhood autistic brain.Molecular autism · 2023Article
- Mechanisms and neuroanatomy of response selection in tool and non-tool action tasks: Evidence from left-hemisphere stroke.Cortex; a journal devoted to the study of the nervous system and behavior · 2023Article
- Mapping Lesion-Related Epilepsy to a Human Brain Network.JAMA neurology · 2023Article
- Use of multi-perturbation Shapley analysis in lesion studies of functional networks: The case of upper limb paresis.Human brain mapping · 2023Article
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3 authors.
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Abstract
Multivariate lesion behaviour mapping based on machine learning algorithms has recently been suggested to complement the methods of anatomo-behavioural approaches in cognitive neuroscience. Several studies applied and validated support vector regression-based lesion symptom mapping (SVR-LSM) to map anatomo-behavioural relations. However, this promising method, as well as the multivariate approach per se, still bears many open questions. By using large lesion samples in three simulation experiments, the present study empirically tested the validity of several methodological aspects. We found that (i) correction for multiple comparisons is required in the current implementation of SVR-LSM, (ii) that sample sizes of at least 100-120 subjects are required to optimally model voxel-wise lesion location in SVR-LSM, and (iii) that SVR-LSM is susceptible to misplacement of statistical topographies along the brain's vasculature to a similar extent as mass-univariate analyses.
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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.