Brain connectivity and EEG predictors of epilepsy surgery outcomes

• Brain connectivity measures predict surgical outcomes of low-grade epilepsy-associated neuroepithelial tumors.¹
• Postoperative epileptiform discharges predict seizure outcomes in pediatric low-grade developmental and epilepsy associated tumors.^{2 12}

Gardner updates

• Multi-branch convolutional neural networks combined with intracranial EEG high-frequency oscillations predict post-surgical seizure outcomes. ³

• Geometric representations of brain networks derived from intracranial EEG can predict surgery outcome in temporal lobe epilepsy. ⁴

Weekly enrichment (2026-07-20)

• The lead connectivity study retrospectively analyzed 44 temporal low-grade epilepsy-associated neuroepithelial tumor (LEAT) patients who underwent gross-total lesionectomy.⁵⁶
• Roughly 20% of LEAT patients continue to have suboptimal seizure control even after complete resection of the lesion, motivating pre-surgical prognostic markers.⁵
• Scalp-EEG features—power spectral density (PSD) and the weighted phase lag index (wPLI)—were compared between good (Engel I) and poor (Engel II–IV) surgical-outcome groups.⁵⁶
• Patients with good outcomes had significantly higher alpha-band wPLI functional connectivity (p = 0.008), whereas no significant PSD differences were found between groups.⁵⁶
• A Domain Adversarial Neural Network model (“LEATnet”) predicted surgical outcome with an area under the curve of 0.81 and correctly classified 8 of 11 patients in an independent validation cohort.⁵⁶
• The authors conclude alpha-band functional connectivity is a key, non-invasive predictor that could improve prognostic accuracy and aid surgical planning and clinical decision-making in LEAT epilepsy.⁵⁶
• The paper appears in Clinical Neurophysiology (Volume 183, March 2026) and frames machine learning on non-invasive EEG as a way to enhance patient outcomes.⁶

Footnotes

1. https://www.sciencedirect.com/science/article/pii/S1388245725013306?dgcid=rss_sd_all ↩ ↩²

2. https://www.sciencedirect.com/science/article/pii/S1388245725013148?dgcid=rss_sd_all ↩ ↩²

3. https://www.sciencedirect.com/science/article/pii/S1388245726002014?dgcid=rss_sd_all ↩

4. https://news.google.com/rss/articles/CBMiX0FVX3lxTE9KeThJWjhRQXVWSlZhRTFmcEVVZ3doU0NOOEU2c19yckdNV3RlT3Z4OUVUS2hEWHRjOGdRWC0weEtkMWQ4b3RFYlRxWE1RWTVRUUVYbDZBN1o0VWNlanNz?oc=5 ↩

5. https://pubmed.ncbi.nlm.nih.gov/41421050/ ↩ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶

6. https://doi.org/10.1016/j.clinph.2025.2111478 ↩ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶