ArticleJournal of neurology, neurosurgery, and psychiatry2022
Temporal lobe epilepsy lateralisation and surgical outcome prediction using diffusion imaging.
Article in Journal of neurology, neurosurgery, and psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Social cognition in children and adolescents with epilepsy: A meta-analysis.Frontiers in psychiatry · 2022Pooled it
- Machine-learning methods for epilepsy diagnosis and therapeutic prevention: advances, setbacks, and opportunities.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Review
- Thalamic organization differentially contributes to clinical conditions in epilepsy.Communications medicine · 2026Article
- Analysis of brain volume in hippocampal sclerotic temporal lobe epilepsy using automatic brain segmentation technology.Quantitative imaging in medicine and surgery · 2025Article
- Article
- The Imaging Database for Epilepsy And Surgery (IDEAS).Epilepsia · 2025Article
- Vagus nerve stimulation for epilepsy: A narrative review of factors predictive of response.Epilepsia · 2024Review
- The interictal suppression hypothesis is the dominant differentiator of seizure onset zones in focal epilepsy.Brain : a journal of neurology · 2024Article
- Imaging and Stereotactic Electroencephalography Functional Networks to Guide Epilepsy Surgery.Neurosurgery clinics of North America · 2024Review
- Predicting seizure outcome after epilepsy surgery: Do we need more complex models, larger samples, or better data?Epilepsia · 2023Article
- Multi-shell connectome DWI-based graph theory measures for the prediction of temporal lobe epilepsy and cognition.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Deep learning distinguishes connectomes from focal epilepsy patients and controls: feasibility and clinical implications.Brain communications · 2023Article
- Towards network-guided neuromodulation for epilepsy.Brain : a journal of neurology · 2022Review
- Changes in the Brain in Temporal Lobe Epilepsy with Unilateral Hippocampal Sclerosis: An Initial Case Series.Healthcare (Basel, Switzerland) · 2022Article
- Theory of mind and facial emotion recognition in adults with temporal lobe epilepsy: A meta-analysis.Frontiers in psychiatry · 2022Review
- Altered voxel-mirrored homotopic connectivity in right temporal lobe epilepsy as measured using resting-state fMRI and support vector machine analyses.Frontiers in psychiatry · 2022Article
- Integrating Network Neuroscience Into Epilepsy Care: Progress, Barriers, and Next Steps.Epilepsy currentsReview
- VEP for VIP Care: Patient-Specific Modeling in Epilepsy Surgery.Epilepsy currentsArticle
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
objectiveWe sought to augment the presurgical workup of medically refractory temporal lobe epilepsy by creating a supervised machine learning technique that uses diffusion-weighted imaging to classify patient-specific seizure onset laterality and surgical outcome.
methods151 subjects were included in this analysis: 62 patients (aged 18-68 years, 36 women) and 89 healthy controls (aged 18-71 years, 47 women). We created a supervised machine learning technique that uses diffusion-weighted metrics to classify subject groups. Specifically, we sought to classify patients versus healthy controls, unilateral versus bilateral temporal lobe epilepsy, left versus right temporal lobe epilepsy and seizure-free versus not seizure-free surgical outcome. We then reduced the dimensionality of derived features with community detection for ease of interpretation.
resultsWe classified the subject groups in withheld testing data sets with a cross-fold average testing areas under the receiver operating characteristic curve of 0.745 for patients versus healthy controls, 1.000 for unilateral versus bilateral seizure onset, 0.662 for left versus right seizure onset, 0.800 for left-sided seizure-free vsersu not seizure-free surgical outcome and 0.775 for right-sided seizure-free versus not seizure-free surgical outcome.
conclusionsThis technique classifies important clinical decisions in the presurgical workup of temporal lobe epilepsy by generating discerning white-matter features. We believe that this work augments existing network connectivity findings in the field by further elucidating important white-matter pathology in temporal lobe epilepsy. We hope that this work contributes to recent efforts aimed at using diffusion imaging as an augmentation to the presurgical workup of this devastating neurological disorder.
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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.