ArticleNeuroImage. Clinical2021
Lesion Quantification Toolkit: A MATLAB software tool for estimating grey matter damage and white matter disconnections in patients with focal brain lesions.
Article in NeuroImage. Clinical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.
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Who cites it
81 citing papers in PubMed, 143 citations in OpenAlex.
- Multi-modal lesion mapping of expressive aprosodia.Cortex; a journal devoted to the study of the nervous system and behavior · 2026Article
- Harmonized Acquisition of Connectome MRI and Clinical Data for Stroke, Parkinson's Disease and Glioma: Delphi-Derived Protocol Recommendations by the European Academy of Neurology.European journal of neurology · 2026Review
- Cognition disconnected: the influence of domain-general cognition (g) in lesion-deficit mapping.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Structural connectome changes as biomarkers of stroke recovery: a longitudinal 7T MRI study.BMC neuroscience · 2026Article
- Standardisation in acute stroke research: A scoping review of upper limb assessments against Stroke Recovery and Rehabilitation Roundtable (SRRR) benchmarks.Clinical rehabilitation · 2026Article
- Classification of postural control characteristics during quiet standing in patients with subacute stroke and their association with lesion networks.Research square · 2026Article
- Uncovering hidden pathways: structural brain networks under connected speech in post-stroke aphasia.Brain communications · 2026Article
- Corpus Callosum Integrity Predicts Functional Outcomes in Acute Stroke: A Probabilistic Structural Connectivity Study.Journal of stroke · 2026Article
- Stroke recovery beyond initial severity: the complementary roles of brain structure and brain function in acute stroke.Brain communications · 2026Article
- The lesion correlates of impaired content word fluency during spoken discourse in aphasia.Brain communications · 2026Article
- Computational Pipeline in Clinical Connectomics.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Evaluating structural connectivity disruption after stroke: individual tractography or the use of a model-based approach?NeuroImage. Clinical · 2026Article
- Convergent causal mapping unravels distinct frontal networks for visuospatial selective attention.Nature communications · 2025Article
- Article
- The Dominance of Attentional Focus in Sitting Postural Control Among Patients with Stroke and the Characteristics of the Disconnectome.Journal of clinical medicine · 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
- Probabilistic normative maps of the corticospinal and cortico-reticulospinal tracts in streamline and volumetric formats.Journal of neuroscience methods · 2025Article
- Multimodal dynamic hierarchical clustering model for post-stroke cognitive impairment prediction.Visual computing for industry, biomedicine, and art · 2025Article
- Article
21 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Lesion studies are an important tool for cognitive neuroscientists and neurologists. However, while brain lesion studies have traditionally aimed to localize neurological symptoms to specific anatomical loci, a growing body of evidence indicates that neurological diseases such as stroke are best conceptualized as brain network disorders. While researchers in the fields of neuroscience and neurology are therefore increasingly interested in quantifying the effects of focal brain lesions on the white matter connections that form the brain's structural connectome, few dedicated tools exist to facilitate this endeavor. Here, we present the Lesion Quantification Toolkit, a publicly available MATLAB software package for quantifying the structural impacts of focal brain lesions. The Lesion Quantification Toolkit uses atlas-based approaches to estimate parcel-level grey matter lesion loads and multiple measures of white matter disconnection severity that include tract-level disconnection measures, voxel-wise disconnection maps, and parcel-wise disconnection matrices. The toolkit also estimates lesion-induced increases in the lengths of the shortest structural paths between parcel pairs, which provide information about changes in higher-order structural network topology. We describe in detail each of the different measures produced by the toolkit, discuss their applications and considerations relevant to their use, and perform example analyses using real behavioral data collected from sub-acute stroke patients. We show that analyses performed using the different measures produced by the toolkit produce results that are highly consistent with results that have been reported in the prior literature, and we demonstrate the consistency of results obtained from analyses conducted using the different disconnection measures produced by the toolkit. We anticipate that the Lesion Quantification Toolkit will empower researchers to address research questions that would be difficult or impossible to address using traditional lesion analyses alone, and ultimately, lead to advances in our understanding of how white matter disconnections contribute to the cognitive, behavioral, and physiological consequences of focal brain lesions.
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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.