Blood-brain barrier leakage as a predictive factor for post-stroke epilepsy
- Conditions
- Epilepsieepilepsy after strokePost-stroke epilepsy10007963
- Registration Number
- NL-OMON52151
- Lead Sponsor
- Medisch Universitair Ziekenhuis Maastricht
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- Not specified
- Target Recruitment
- 72
A SeLECT score 0-9 or a CAVE score 0-4
Age of >= 18 years
Contra-indications for a gadolinium based contrast agent (known allergy or
insufficient kidney function determined by an eGFR <= 30 mL/min)
Contra-indications for MRI scanning (e.g. metal implants, cardiac pacemaker,
claustrophobia, pregnancy)
Previous history of epileptic seizures or other cerebral disorders (e.g.
neurodegenerative diseases or head/brain tumors)
Re-infarction during follow-up
Potential epileptogenic co-morbidities (e.g. alcohol or drugs abuse, cerebral
venous thrombosis, history of brain surgery)
Absence of written informed consent (by a legal representative)
Study & Design
- Study Type
- Observational invasive
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method <p>To identify potential imaging biomarkers for early identification of patients<br /><br>at risk for PSE, by investigating blood-brain barrier leakage in acute phase<br /><br>and during first stage of rehabilitation.<br /><br><br /><br>To elucidate the relationship between blood-brain barrier permeability and<br /><br>other microstructural (connectivity, integrity) and microvascular properties<br /><br>(perfusion, diffusivity, blood flow, blood volume) of the brain in PSE<br /><br>patients. Data acquisition at two time points makes it possible to monitor the<br /><br>pathophysiological changes between the primary effects and early recovery.</p><br>
- Secondary Outcome Measures
Name Time Method <p>To determine the relation between blood-brain barrier integrity and alterations<br /><br>in structural and functional network formation in the brain. Serial MRI<br /><br>measurements allow for the evaluation of spontaneous network reorganization<br /><br>after tissue damage.</p><br>