ArticleHuman brain mapping2021
An empirical comparison of univariate versus multivariate methods for the analysis of brain-behavior mapping.
Article in Human brain mapping, 2021. 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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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.
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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
- Cognition disconnected: the influence of domain-general cognition (g) in lesion-deficit mapping.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Lesions Reveal Shared and Distinct Neurocognitive Bases of Oral Reading and Silent Word Recognition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- 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
- Cognition Disconnected: The Influence of Domain-General Cognition (g) in Lesion-Deficit Mapping.bioRxiv : the preprint server for biology · 2025Article
- Extension of voxel-based lesion mapping to multidimensional neurophysiological data.Scientific reports · 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
- Linking Memory Impairment to Structural Connectivity in Extrahippocampal Temporal Lobe Epilepsy Surgery.Neurology international · 2025Article
- From acute neglect to chronic constructional deficits: parietotemporal contributions to long-term post-stroke impairments.Brain communications · 2025Article
- Role for Left Dorsomedial Prefrontal Cortex in Self-Generated, but not Externally Cued, Language Production.Neurobiology of language (Cambridge, Mass.) · 2025Article
- Benchmarking machine learning models in lesion-symptom mapping for predicting language outcomes in stroke survivors.Frontiers in neuroimaging · 2025Article
- Neural Correlates of Rhythm in Post-Stroke Aphasia.Neurobiology of language (Cambridge, Mass.) · 2025Article
- Post-stroke cognitive impairment: More than a lesion-symptom model.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Network-based statistics distinguish anomic and Broca's aphasia.Brain structure & function · 2024Article
- Voxel-Based Lesion Analysis of Ideomotor Apraxia.Brain sciences · 2024Article
- Dissociating reading and auditory comprehension in persons with 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
- Spatial normalization for voxel-based lesion symptom mapping: impact of registration approaches.Frontiers in neuroscience · 2024Article
- Multivariate mapping of brain pathology: a step forward with stumbling blocks.Brain communications · 2024Article
Corrections and comments
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4 authors.
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Abstract
Lesion symptom mapping (LSM) tools are used on brain injury data to identify the neural structures critical for a given behavior or symptom. Univariate lesion symptom mapping (ULSM) methods provide statistical comparisons of behavioral test scores in patients with and without a lesion on a voxel by voxel basis. More recently, multivariate lesion symptom mapping (MLSM) methods have been developed that consider the effects of all lesioned voxels in one model simultaneously. In the current study, we provide a much-needed systematic comparison of several ULSM and MLSM methods, using both synthetic and real data to identify the potential strengths and weaknesses of both approaches. We tested the spatial precision of each LSM method for both single and dual (network type) anatomical target simulations across anatomical target location, sample size, noise level, and lesion smoothing. Additionally, we performed false positive simulations to identify the characteristics associated with each method's spurious findings. Simulations showed no clear superiority of either ULSM or MLSM methods overall, but rather highlighted specific advantages of different methods. No single method produced a thresholded LSM map that exclusively delineated brain regions associated with the target behavior. Thus, different LSM methods are indicated, depending on the particular study design, specific hypotheses, and sample size. Overall, we recommend the use of both ULSM and MLSM methods in tandem to enhance confidence in the results: Brain foci identified as significant across both types of methods are unlikely to be spurious and can be confidently reported as robust results.
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