ArticleScientific reports2020
Identification of neural networks preferentially engaged by epileptogenic mass lesions through lesion network mapping analysis.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 21 citations in OpenAlex.
- Multiscale network perspectives on glioma: from tumour biology to symptoms, survival and treatment.Nature reviews. Neurology · 2026Review
- Mapping Functional Connectivity Signatures of Pharmacoresistant Focal Cortical Dysplasia-Related Epilepsy.Annals of neurology · 2024Article
- Pre- and post-therapy functional MRI connectivity in severe acute brain injury with suppression of consciousness: a comparative analysis to epilepsy features.Frontiers in neuroimaging · 2024Article
- Article
- Unruptured brain arteriovenous malformations causing seizures localize to one common brain network.Journal of neuroscience research · 2023Article
- Functional and structural lesion network mapping in neurological and psychiatric disorders: a systematic review.Frontiers in neurology · 2023Article
- Lesion network mapping of ectopic craniopharyngioma identifies potential cause of psychosis: a case report.Acta neurochirurgica · 2022Article
- Untapped Neuroimaging Tools for Neuro-Oncology: Connectomics and Spatial Transcriptomics.Cancers · 2022Article
- Lesion network mapping predicts post-stroke behavioural deficits and improves localization.Brain : a journal of neurology · 2021Article
- Neuroprosthetics in systems neuroscience and medicine.Scientific reports · 2021Article
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lesion network mapping (LNM) has been applied to true lesions (e.g., cerebrovascular lesions in stroke) to identify functionally connected brain networks. No previous studies have utilized LNM for analysis of intra-axial mass lesions. Here, we implemented LNM for identification of potentially vulnerable epileptogenic networks in mass lesions causing medically-refractory epilepsy (MRE). Intra-axial brain lesions were manually segmented in patients with MRE seen at our institution (EL_INST). These lesions were then normalized to standard space and used as seeds in a high-resolution normative resting state functional magnetic resonance imaging template. The resulting connectivity maps were first thresholded (p
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