Chandra Prakash Swamy

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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Evoked Resonant Neural Activity Supports Physiology-Guided Asleep Deep Brain Stimulation

Nuri F. Ince, Luciano R F. Branco, Hossein Heydari, Chandra Prakash Swamy et autres

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Moving beyond spike detection: High frequency‐driven masking improves seizure onset zone localization in intracranial electroencephalography

Amir Hossein Ayyoubi, Behrang Fazli Besheli, Valentina Hrtonová, Jhan L. Okkabaz et autres

OBJECTIVE: Interictal epileptiform spikes (IESs) are widely used biomarkers of epileptogenic tissue in presurgical epilepsy evaluation. However, their reliability for seizure onset zone (SOZ) localization in high-density intracranial electroencephalography (iEEG) remains inconsistent. It is underexplored whether this variability reflects methodological differences across …

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A Rapid Prototyping Environment for Closed-Loop Neuromodulation using the Brain Interchange System

Amir Hossein Ayyoubi, Behrang Fazli Besheli, F. Lampert, Jhan L. Okkabaz et autres

For implantable closed loop neuromodulation systems, real-time neural sensing, biomarker detection, and targeted stimulation are essential components for delivering personalized therapy. Current limitations in sampling rate and the number of available recording channels in implantable systems may pose significant challenges, especially in …

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Dynamic Reconfiguration of Cortical Gamma Responses Bridges Acoustic and Linguistic Processing in the Human Brain

Israt Tasnim, Nuri F. Ince, Giuseppe Pellizzer, Priscella Asman et autres

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Adaptive neuromodulation dialogues: navigating current challenges and emerging innovations in neuromodulation system development

F. Lampert, Matthew Baker, Michael A. Jensen, Amir Hossein Ayyoubi et autres

Adaptive neuromodulation systems and implantable brain-computer interfaces have made notable strides in recent years, translating experimental prototypes into clinical applications and garnering substantial attention from the public. This surge in interest is accompanied by increased scrutiny related to the safety, efficacy, and …

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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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A Low-Cost, Open-Source Wireless Platform for Real-Time Tremor Monitoring in Parkinson's Disease

Hossein Heydari, Ebubekir E. Arslan, Jhan L. Okkabaz, Luciano R. F. Branco et autres

We present a low-cost, open-source, wireless hardware platform dedicated to real-time tremor monitoring in Parkinson's disease (PD). The system is built on the ESP32-C6 microcontroller integrated with a 3-axis accelerometer and tilt sensor and employs ESP-NOW for wireless communication and multi-device synchronization. …

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Spurious Spike Elimination Using Sparse Signal Processing Improves Seizure Onset Zone Delineation in Brief Intraoperative iEEG Recordings

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

Interictal epileptiform spikes and high frequency oscillations (HFOs) have proven to be promising neuro biomarkers for seizure onset zone (SOZ) identification in drug-resistant epilepsy. This study presents a sparse signal processing based denoising model for epileptiform spikes. The model was trained on …

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509 Electrocorticogram (ECoG) Gamma-band Modulations Induced by Cognitive-Linguistic Tasks for Intraoperative Functional Language Mapping During Awake Craniotomy

Sujit S. Prabhu, Israt Tasnim, Priscella Asman, Matthew J. Hall et autres

INTRODUCTION: DCS is the gold standard of intraoperative functional language mapping but in predicting language functions and post-surgical outcomes. Moreover, DCS mapping can induce seizure with prolonged usage. METHODS: Eleven subjects underwent either temporal (eight) or frontal (three) lobe tumor resection surgeries …

Pseudo-HFOs Elimination in iEEG Recordings Using a Robust Residual-Based Dictionary Learning Framework

Behrang Fazli Besheli, Zhiyi Sha, Amir Hossein Ayyoubi, Chandra Prakash Swamy et autres

High-frequency oscillations (HFOs) in intracranial EEG (iEEG) recordings are critical biomarkers for localizing the seizure onset zone (SOZ) in patients with focal refractory epilepsy. Despite their clinical significance, HFO analysis is often compromised by high-frequency artifacts that bypass conventional detectors, resulting in …

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