Kai J. Miller

Implant-Grade Neural Sensing with Artifact-Resilient Computational Intelligence Preserves Spatial Fidelity of HFO Biomarkers in Epilepsy

Behrang Fazli Besheli, Amir Hossein Ayyoubi, Chandra Prakash Swamy, Jhan L. Okkabaz et autres

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Data-Driven Hyperparameter Tuning of High-Frequency Oscillation Detection for Seizure-Onset Zone Localization

Valentina Hrtonová, Martina Kolajová, Behrang Fazli Besheli, Amir Hossein Ayyoubi et autres

High-frequency oscillations (HFOs) are promising biomarkers for localizing the seizure onset zone (SOZ) in drug-resistant epilepsy. Automatic HFO detectors often depend on specific parameter choices, limiting effectiveness across diverse datasets. This study optimizes a published amplitude-threshold-based detector using a data-driven approach on …

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Integrating Spatial-Temporal Channel Reliability with AI for Robust High-Frequency Oscillation Detection in Intracranial EEG*

Behrang Fazli Besheli, Amir Hossein Ayyoubi, Chandra Prakash Swamy, Bobby Mohan et autres

Objective: Reliable detection of high-frequency oscillations (HFOs) in intracranial EEG (iEEG) is critical for localizing the seizure onset zone (SOZ). However, artifact contamination severely impairs detection specificity and contributes to false positives. Methods: We developed a reliability guided HFO analysis pipeline that …

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