Complex Partial Seizures
Conditions
Brief summary
Various parts of the brain are sensitive to various anesthetics.We like to study the effect of dexmedetomidine on the different parts of the brain in patients who are coming for DBS electrode removal under sedation.
Detailed description
Cortical and sub cortical structures will have different sensitivities to various anesthetics.The objective of this study is to look at the changes in the intracranial electroencephalographic (EEG) characteristics during dexmedetomidine sedation and to determine the differences in the EEG characteristics between cortical and subcortical structures.
Interventions
Sponsors
Study design
Eligibility
Inclusion criteria
* Adults between 18 to 80 years of age, who are scheduled for elective removal of intracranial (surface and depth) electrodes under conscious sedation
Exclusion criteria
* Lack of informed consent * Hypersensitivity to dexmedetomidine * Language barrier * Emergency surgery
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| iEEG Recording | 1 day | iEEG data from each patient was analyzed using MATLAB (Natick, MA, USA). Data were presented as power spectral density, also referred to as the power spectrum or spectrum which quantifies the frequency distribution of energy or power within a signal. The spectrogram is a time-varying version of the spectrum. In these spectrograms, frequencies are arranged along the y-axis, and time along the x-axis, and power is indicated by color on a decibel (dB) scale. The power spectrum was computed for each channel using The Fast Fourier Transform (FFT). A window length of 20,000 data points was chosen in order to incorporate 4 cycles of a 1 Hz signal. The length of each window was therefore 4 seconds. A Hanning window was used to avoid edge effects of the windowing procedure. The length of the FFT was chosen to be 32768, which is the next power of 2 of the window length. The window overlap was set to zero. |
Countries
Canada
Participant flow
Participants by arm
| Arm | Count |
|---|---|
| Dexmedetomidine Infusion and iEEG Activity 5 patients included in this study underwent bi-temporal implantation, and were shown to have unilateral hippocampal seizure onsets.
iEEG data acquires every minute from the start of dexmedetomidine infusion to 5 minutes after the bolus dose. | 5 |
| Total | 5 |
Baseline characteristics
| Characteristic | Dexmedetomidine Infusion and iEEG Activity | — |
|---|---|---|
| Age, Customized Age | 37.3 years STANDARD_DEVIATION 7 | — |
| Race and Ethnicity Not Collected | — | — Participants |
| Sex: Female, Male Female | 2 Participants | — |
| Sex: Female, Male Male | 3 Participants | — |
Adverse events
| Event type | EG000 affected / at risk |
|---|---|
| deaths Total, all-cause mortality | 0 / 5 |
| other Total, other adverse events | 0 / 5 |
| serious Total, serious adverse events | 0 / 5 |
Outcome results
iEEG Recording
iEEG data from each patient was analyzed using MATLAB (Natick, MA, USA). Data were presented as power spectral density, also referred to as the power spectrum or spectrum which quantifies the frequency distribution of energy or power within a signal. The spectrogram is a time-varying version of the spectrum. In these spectrograms, frequencies are arranged along the y-axis, and time along the x-axis, and power is indicated by color on a decibel (dB) scale. The power spectrum was computed for each channel using The Fast Fourier Transform (FFT). A window length of 20,000 data points was chosen in order to incorporate 4 cycles of a 1 Hz signal. The length of each window was therefore 4 seconds. A Hanning window was used to avoid edge effects of the windowing procedure. The length of the FFT was chosen to be 32768, which is the next power of 2 of the window length. The window overlap was set to zero.
Time frame: 1 day
| Arm | Measure | Value (MEAN) |
|---|---|---|
| iEEG Activity | iEEG Recording | 8 (Hz) |