Enrico Opri

Oscillatory activity in rostral middle frontal gyrus and subthalamic nucleus encode proactive inhibition in cortico-subcortical motor control network

V. T. Duong, Seyyed Bahram Borgheai, Enrico Opri, Faiçal Isbaine et autres

Abstract The current model of the action inhibition network includes the prefrontal cortex and the subthalamic nucleus (STN) connected via the prefrontal hyperdirect pathway. Proactive inhibition refers to preparatory mechanisms that facilitate action inhibition (i.e. enables a person to act with restraint), …

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An algorithmic procedure for measuring deep brain stimulation-induced capsular activation using motor evoked potentials

Eric R. Cole, Enrico Opri, Seyyed Bahram Borgheai, Han Yu-ji et autres

Abstract Objective. Effective deep brain stimulation (DBS) treatment for Parkinson’s disease requires careful surgical targeting and adjustment of stimulation parameters to avoid motor side effects caused by activation of the internal capsule. Currently, patients must self-report side effects during implantation surgery and …

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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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Cortical beta power modulation is asymmetric and reduced during movement execution and inhibition in Parkinson's disease

Roohollah Jafari Deligani, Enrico Opri, Benjamin B. Risk, Felicia C. Goldstein et autres

Inability to initiate movements is a cardinal feature of Parkinson's disease (PD), but inhibitory motor control is also impaired. Cortical electrophysiologic spectral patterns of these processes are still poorly understood. We investigated cortical electrophysiology during movement planning, execution and proactive inhibition in …

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Evaluation of DBS computational modeling methodologies using in-vivo electrophysiology in Parkinson's disease

Seyyed Bahram Borgheai, Bryan Lad Howell, Faiçal Isbaine, Angela M. Noecker et autres

Background Optimizing deep brain stimulation (DBS) parameter settings requires postoperative adjustments through a time-consuming trial-and-error process. As such, researchers have been developing computational models to guide DBS programming. Despite growing interest in image-guided DBS technology, and recent adoption into clinical practice, the …

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An algorithmic procedure for measuring deep brain stimulation-induced capsular activation using motor evoked potentials

Eric R. Cole, Enrico Opri, Seyyed Bahram Borgheai, Han Yu-ji et autres

Objective: Effective deep brain stimulation (DBS) treatment for Parkinson's disease requires careful adjustment of stimulation parameters and targeting to avoid motor side effects caused by activation of the internal capsule. Currently, patients must self-report side effects during device programming and implantation surgery …

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Deep brain stimulation-induced local evoked potentials outperform spectral features in spatial and clinical STN mapping

Enrico Opri, Faiçal Isbaine, Seyyed Bahram Borgheai, Emily Bence et autres

Abstract Objective. Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an established therapy for Parkinson’s disease (PD). Yet, optimizing lead placement and stimulation programming remains challenging. Current techniques rely on imaging and intraoperative microelectrode recordings (MER), while programming relies on …

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Deep brain stimulation-induced local evoked potentials outperform spectral features in spatial and clinical STN mapping

Enrico Opri, Faiçal Isbaine, Seyyed Bahram Borgheai, Emily Bence et autres

Objective: Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an established therapy for Parkinson's Disease (PD). Yet, optimizing lead placement and stimulation programming remains challenging. Current techniques rely on imaging and intraoperative microelectrode recordings (MER), while programming rely on trial-and-error …

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Evaluation of DBS computational modeling methodologies using in-vivo electrophysiology in Parkinson’s disease

Seyyed Bahram Borgheai, Bryan Lad Howell, Faiçal Isbaine, Angela M. Noecker et autres

Abstract Deep brain stimulation (DBS) is an effective therapy for Parkinson’s disease (PD) and other neuropsychiatric disorders, but its outcomes vary due to differences in patient selection, electrode placement, and programming. Optimizing DBS parameter settings requires postoperative adjustments through a trial-and-error process, …

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Automated Deep Brain Stimulation Parameter Selection via Meta-Active Learning of Evoked Potentials

Eduardo Roberto Cole, A. Nascimento, Enrico Opri, Letian Chen et autres

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List of contributors

Hussein Alawieh, Ramses Alcaide, Hasan Ayaz, Lisa Maria Berger et autres

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Stimulating the brain: a primer

Enrico Opri, Stephanie Cernera

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