Understanding Prefrontal and Medial Temporal Neuronal Responses to Algorithmic Cognitive Variables in Epilepsy Patients

NCT05283811 | Recruiting FDA Device

• 1 other identifier: H18112
• Study Type: interventional
• Target: 205
• Locations: 1 country
• Sites: 3

Brief Summary

Humans have a remarkable ability to flexibly interact with the environment. A compelling demonstration of this cognitive flexibility is human's ability to respond correctly to novel contextual situations on the first attempt, without prior rehearsal. The investigators refer to this ability as 'ad hoc self-programming': 'ad hoc' because these new behavioral repertoires are cobbled together on the fly, based on immediate demand, and then discarded when no longer necessary; 'self-programming' because the brain has to configure itself appropriately based on task demands and some combination of prior experience and/or instruction. The overall goal of our research effort is to understand the neurophysiological and computational basis for ad hoc self-programmed behavior. The previous U01 project (NS 108923) focused on how these programs of action are initially created. The results thus far have revealed tantalizing notions of how the brain represents these programs and navigates through the programs. In this proposal, therefore, the investigators focus on the question of how these mental programs are executed. Based on the preliminary findings and critical conceptual work, the investigators propose that the medial temporal lobe (MTL) and ventral prefrontal cortex (vPFC) creates representations of the critical elements of these mental programs, including concepts such as 'rules' and 'locations', to allow for effective navigation through the algorithm. These data suggest the existence of an 'algorithmic state space' represented in medial temporal and prefrontal regions. This proposal aims to understand the neurophysiological underpinnings of this algorithmic state space in humans. By studying humans, the investigators will profit from our species' powerful capacity for generalization to understand how such state spaces are constructed. The investigators therefore leverage the unique opportunities available in human neuroscience research to record from single cells and population-level signals, as well as to use intracranial stimulation for causal testing, to address this challenging problem. In Aim 1 the investigators study the basic representations of algorithmic state space using a novel behavioral task that requires the immediate formation of unique plans of action. Aim 2 directly compares representations of algorithmic state space to that of physical space by juxtaposing balanced versions of spatial and algorithmic tasks in a virtual reality (VR) environment. Finally, in Aim 3, the investigators test hypotheses regarding interactions between vPFC and MTL using intracranial stimulation.

Conditions

Epilepsy

Keywords

Single-neuron; Local-field potentials

Outcome Measures

Primary Outcomes (2)

• Behavioral performance (Accuracy as fraction of correct responses)

  Patients will be asked to perform a few different novel, computerized tasks where the patients must respond to on-screen stimuli using button presses. Behavior will be assessed in terms of the accuracy of these responses.

  7-14 days of behavioral performance collection

• Neurophysiological activity (single-neuron activity in spikes/second)

  While patients are performing each behavioral task, the investigators will measure neural activity from BlackRock using depth electrodes with the aim of isolating single-neuron activity (for patients in the EMU) and local-field potential activity (for patients in the RNS patients). Neurophysiological activity will be analyzed with the aim of understanding the neural representations underlying cognitive performance during the task.

  7-14 days of neural activity collection

Study Arms (2)

Epilepsy Monitoring Unit

OTHER

Patient's behavioral and neural activity via computer tasks and questionnaires are monitored in the Epilepsy Monitoring Unit

Behavioral: EMU

Neuropace RNS Device

OTHER

Patients are implanted with RNS device to treat their seizure activity

Device: NEUROPACE RNS SYSTEM

Interventions

NEUROPACE RNS SYSTEM DEVICE

This device is indicated as a therapy in reducing the frequency of seizures in individuals

Neuropace RNS Device

EMU BEHAVIORAL

Patients are admitted to the Epilepsy Monitoring Unit for observation of seizure activity prior to further treatment

Epilepsy Monitoring Unit

Eligibility Criteria

• Age: 10 Years - 64 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64)

You may qualify if:

• Eligible subjects include both male and female patients, between 10 years of age and 64 years of age, who undergo placement of intracranial electrodes for clinical characterization of epilepsy.

Sponsors & Collaborators

• Baylor College of Medicine: lead

Study Sites (3)

University of California, Los Angeles

Los Angeles, California, 90095, United States

RECRUITING

Baylor College of Medicine

Houston, Texas, 77030, United States

RECRUITING

University of Utah

Salt Lake City, Utah, 84112, United States

ACTIVE NOT RECRUITING

MeSH Terms

Conditions

Epilepsy

Condition Hierarchy (Ancestors)

Brain Diseases; Central Nervous System Diseases; Nervous System Diseases

Central Study Contacts

Sameer Sheth, MD, PhD

CONTACT

713-798-5060; sasheth@bcm.edu

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NON RANDOMIZED
• Masking: NONE
• Purpose: HEALTH SERVICES RESEARCH
• Intervention Model: FACTORIAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Associate Professor

Study Record Dates

• First Submitted: February 28, 2022
• First Posted: March 17, 2022
• Study Start: June 1, 2021
• Primary Completion: March 31, 2026
• Study Completion: March 31, 2026
• Last Updated: July 20, 2025

Record last verified: 2025-07

Locations

US (3)