The primary goal of the study is to identify biomarkers from LFPs recorded from the DBS electrodes that are associated with treatment response to DBS in patients with epilepsy. If these biomarkers exist, these can potentially be used to guideā¦
ID
Source
Brief title
Condition
- Seizures (incl subtypes)
Synonym
Research involving
Sponsors and support
Intervention
Outcome measures
Primary outcome
The primary goal of the study is to identify biomarkers from LFPs recorded from
the DBS electrodes that are associated with treatment response to DBS in
patients with epilepsy. Hereby, treatment response is defined by the percentual
seizure reduction.
Secondary outcome
- To characterize the short and long latency DBS evoked potentials recorded on
the scalp with 64-channels EEG
- To predict success of DBS in patients with epilepsy using pre-operative
features from resting-state 64-channel EEG and MRI. We will initially aim to
predict responders (>50% seizure reduction at 12 and 24 months after DBS
implantation); this binarized response will be complemented by assessing the
likelihood of seizure reduction on a continuous scale.
- To improve insight in the role of the thalamocortical network in patients
with epilepsy by studying the relation of simultaneous measured LFP recording
of the ANT and 64-channel surface EEG recording.
- To study differences in network characteristics derived from 64-channel EEG,
and MRI before and after DBS.
- To evaluate the effect of ANT DBS on memory functions (pre- vs
post-implantation) tested using standardized neuropsychological examination.
- To evaluate the differences in the power spectral density of ictal (during a
seizure) and interictal (when the patient is not having a seizure) LFP
measurements.
- To characterize the short and long latency VNS evoked potentials recorded on
the scalp with 64-channels EEG, in the subgroup of patient who also have a
vagus nerve stimulator (VNS) implanted.
Background summary
In patients with medically refractory epilepsy who are not eligible for
surgical treatment, neuromodulation including deep brain
stimulation (DBS) remains as a last resort. However, a good response (> 50%
seizure reduction) is achieved in only approximately
70% of patients.
To date, the effects of the stimulation parameters (voltage, frequency, pulse
width, and cycling on stimulation) are still poorly understood and no *optimal*
set of stimulation parameters is defined. Optimizing stimulation settings for
each patient individually is an important aspect of DBS for epilepsy.
Currently, this is a very complex task and adjustment of stimulation parameters
is based on trial and error and heavily rely on patient seizure diaries. Until
now, no biomarkers exist that can guide in this procedure. Recent advances in
DBS hardware allow recording of the local field potentials (LFPs) of the
neuronal tissue around the electrode. We hypothesize that the combination of
this technique with network analysis of resting state fMRI and 64-channel EEG
can provide insight in the brain circuits involved in the disturbed brain
dynamics and can result in a significant improvement in response evaluation of
individual patients with DBS for epilepsy. Analyzing the direct response to DBS
stimuli in the EEG (DBS evoked potentials) can also contribute to this.
Study objective
The primary goal of the study is to identify biomarkers from LFPs recorded from
the DBS electrodes that are associated with treatment response to DBS in
patients with epilepsy. If these biomarkers exist, these can potentially be
used to guide treatment therapy as an alternative of seizure diaries in future
patients.
Study design
We propose a prospective observational cohort study.
Study burden and risks
The risks of participating in this observational study are very minimal. The
study has no influence on the implantation of the DBS system nor on programming
the stimulation settings.
Patients will be followed starting from 2 months pre-operative until 24 months
postoperative. LFPs will be recorded from the implanted DBS electrodes 1 or 2
days post-operative (during hospital admission) and at 6 additional study
visits (1,3,6,12,18 and 24 months postoperative).
Reading-out LFPs from DBS electrodes that already are implanted, can be
performed contactless and is without any risk for the patient.
In addition, we will record 64-channel EEG at baseline (before DBS
implantation), 1 or 2 days postoperative (during hospital admission), and at 12
and 24 months postoperative. During the EEGs recorded at 12 and 24 months
follow-up, the DBS settings will be varied to eanable measuring DBS evoked
potentials. MRI scans (anatomical, DTI and fMRI) will be made twice, at
baseline and 12 months postoperative. Patients will be asked to keep diaries of
their perceived seizures during the study period. We will also ask all patients
to fill four questionnaires about psychological well-being at baseline and at
12 and 24 months post-operative.
If we can find biomarkers that can be used in the evaluation of treatment
response to DBS therapy these can be used for optimal individual DBS
programming in future patients. Therefore, the risk and burden for the
participating capacitated adults are in proportion with the potential value of
the study,
Koningsplein 1
Enschede 7512 KZ
NL
Koningsplein 1
Enschede 7512 KZ
NL
Listed location countries
Age
Inclusion criteria
- Adult (>=18 year) patients with medically refractory epilepsy, who are
candidates for ANT-DBS or who already have an ANT-DBS implant.
- Implantable pulse generator that allows recording of LFPs (Medtronic Percept
system).
Exclusion criteria
Patients with cognitive impairments that causes the patient to be unable to
understand the research purpose and give informed consent will be excluded in
this study.
Design
Recruitment
Followed up by the following (possibly more current) registration
No registrations found.
Other (possibly less up-to-date) registrations in this register
No registrations found.
In other registers
Register | ID |
---|---|
CCMO | NL74347.100.20 |
Other | NL9272 |