ArticleNeuroImage. Clinical2018
The impact of epilepsy surgery on the structural connectome and its relation to outcome.
Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 3 of them syntheses that pooled it.
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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
82 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Multimodal machine learning for surgical decision support in epilepsy: Current evidence and translational gaps.Epilepsia · 2026Pooled it
- Artificial Intelligence Technologies in Neurosurgery: a Systematic Literature Review Using Topic Modeling. Part II: Research Objectives and Perspectives.Sovremennye tekhnologii v meditsine · 2021Pooled it
- Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review.Neurosurgical review · 2020Pooled it
- Seizure Freedom Despite Piriform Cortex Sparing: Structural Connectivity Remodeling After SEEG-Guided Mesial Temporal RFTC.European journal of neurology · 2026Article
- Digital Twins as the Implementation Layer of Precision Medicine in Pediatric Neurosurgery.Journal of Korean Neurosurgical Society · 2026Review
- AI-Driven Mapping of Seizure Spread Patterns.Annals of neurology · 2026Article
- Contralateral language network integration predicts and protects against naming decline after temporal lobe resection.Epilepsia · 2026Article
- White matter signals reflect information transmission between brain regions during seizures.Brain : a journal of neurology · 2026Article
- Case Report: Right frontal periventricular heterotopia underlying secondary network epilepsy with a Lennox-Gastaut phenotype: multimodal SEEG, CCEP, and rs-fMRI evidence.Frontiers in neuroscience · 2026Article
- Multi-modal connectome analysis of the stereoelectroencephalography implantation effect: a case report.Clinical neurophysiology practice · 2026Article
- Combined impact of gray and superficial white matter abnormalities: Implications for epilepsy surgery.Epilepsia · 2025Article
- The use of automated and AI-driven algorithms for the detection of hippocampal sclerosis and focal cortical dysplasia.Epilepsia · 2025Review
- Seizure freedom after surgical resection of diffusion-weighted magnetic resonance imaging abnormalities.Epilepsia · 2025Article
- Geometric representations of brain networks can predict the surgery outcome in temporal lobe epilepsy.NPJ systems biology and applications · 2025Article
- Towards precision MRI biomarkers in epilepsy with normative modelling.Brain : a journal of neurology · 2025Review
- The impact of resective epilepsy surgery on the brain network: evidence from post-surgical imaging.Brain : a journal of neurology · 2025Review
- From Bedside to Desktop: A Data Protocol for Normative Intracranial EEG and Abnormality Mapping.Bio-protocol · 2025Article
- Change in Structural Connectivity Following Stereotactic Thermocoagulation in Mesial Temporal Lobe Epilepsy Patients.European journal of neurology · 2025Article
- The Imaging Database for Epilepsy And Surgery (IDEAS).Epilepsia · 2025Article
- Automated generation of epilepsy surgery resection masks: The RAMPS pipeline.Imaging neuroscience (Cambridge, Mass.) · 2025Article
22 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Background: Temporal lobe surgical resection brings seizure remission in up to 80% of patients, with long-term complete seizure freedom in 41%. However, it is unclear how surgery impacts on the structural white matter network, and how the network changes relate to seizure outcome. Methods: We used white matter fibre tractography on preoperative diffusion MRI to generate a structural white matter network, and postoperative T1-weighted MRI to retrospectively infer the impact of surgical resection on this network. We then applied graph theory and machine learning to investigate the properties of change between the preoperative and predicted postoperative networks. Results: Temporal lobe surgery had a modest impact on global network efficiency, despite the disruption caused. This was due to alternative shortest paths in the network leading to widespread increases in betweenness centrality post-surgery. Measurements of network change could retrospectively predict seizure outcomes with 79% accuracy and 65% specificity, which is twice as high as the empirical distribution. Fifteen connections which changed due to surgery were identified as useful for prediction of outcome, eight of which connected to the ipsilateral temporal pole. Conclusion: Our results suggest that the use of network change metrics may have clinical value for predicting seizure outcome. This approach could be used to prospectively predict outcomes given a suggested resection mask using preoperative data only.
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Registered trials
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.