According to, “A Hierarchical Bayesian Model for the Identification of PET Markers Associated to the Prediction of Surgical Outcome after Anterior Temporal Lobe Resection,” a study in Frontiers in Neuroscience [1]:
[Researchers] have identified a subgroup of temporal lobe epilepsy patients at high risk for post-surgical seizure recurrence after anterior temporal lobe resection.
[The study] developed an integrative Bayesian predictive modeling framework that identifies individual pathological brain states based on the selection of fluoro-deoxyglucose positron emission tomography (PET) imaging biomarkers and evaluated the association of those states with a clinical outcome.
[The study] shows that the proposed method achieves high cross-validated accuracy in predicting post-surgical seizure recurrence.