Dartmouth-Hitchcock Medical Center
Lebanon, New Hampshire, 03756, United States
NCT Number: NCT05200455
The purpose of this study is to test microelectrodes in intracranial monitoring to see if they will provide novel information on the epileptic potential of the implanted brain tissue. A secondary objective is to investigate the activity of single neurons during specific cognitive tasks.
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Notify Me18 year–65 year
All sexes
Interventional
Not applicable
Lebanon, New Hampshire, 03756, United States
The standard-of-care for medically refractory epilepsy is resective brain surgery. In certain patients, precise localization of the epileptic focus is done using intracranial EEG (iEEG) recording. In this type of EEG recording, electrodes are placed on the brain surface or inserted into the brain through an opening in the skull. In addition to standard electrode recording, this study will use ultra thin microelectrodes. Microelectrodes are only several micrometers thick and are useful because they are able to record the activity of single neurons in isolation. Such recordings have tremendous clinical potential in epilepsy surgery and tremendous research potential in cognitive neuroscience.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Microelectrode implantation
Time frame: Evaluated for each patient during monitoring period of approximately 2 weeks
With the occipito-temporal implantation approach of implantation of microelectrodes, feasibility will measured by the number of place responsive neurons that could be isolated.
Time frame: Evaluated for each patient during monitoring period of approximately 2 weeks
Secondary objective is to investigate whether it is possible to predict the speed of which each participant is performing and navigating during the cognitive task via the intracranial spectral EEG changes (alpha, beta, delta, theta, gamma, and high-gamma) during these tasks. Accuracy of frequency band (brain waves) predicting speed during specific cognitive tasks is measured by how precisely the frequency band predicts navigational speed and is expressed as a percentage of correct prediction.
Dartmouth-Hitchcock Medical Center
Other
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