| Grant number: | 13/21056-4 |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| Start date: | March 01, 2014 |
| End date: | February 28, 2017 |
| Field of knowledge: | Health Sciences - Medicine - Medical Clinics |
| Principal Investigator: | Fernando Cendes |
| Grantee: | Luciana Ramalho Pimentel da Silva |
| Host Institution: | Faculdade de Ciências Médicas (FCM). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil |
Abstract Temporal lobe epilepsy (TLE) is the most frequent type of focal epilepsies in adulthood and is often associated to an underlying lesion. Nearly 70% of TLE patients do not achieve seizure control using currently marked antiepileptic drugs (AED). It has been demonstrated both in human resected epileptic tissue and in animal models that epileptogenesis is a multifactorial process related to precipitant insults such as status epilepticus and also inflammatory events might be involved. Several studies using 1H-MRS as a tool have shown a relationship between trauma, viral infections, inflammatory CNS diseases and metabolic alterations, although such a parallel has not been yet demonstrated in human epilepsy. Moreover, glial and inflammatory alterations are possible mechanisms underlying refractoriness in TLE. Thus, our aim will be investigate a possible relationship between metabolic changes on 1H-MRS, inflammatory cytokines biomarkers and refractoriness in TLE. To address this issue, we propose three groups of study: 1 - patients with TLE who did not achieved satisfactory seizure control with the first AED trial (refractory group); 2 - patients who responded to the first AED trial (responsive group); 3 - control subjects (control group). Written informed consent will be taken from all subjects. After a regular T2 axial acquisition to define the region of interest, multivoxel 1H-MRS will be acquired using a PRESS ("Point Resolved Spectroscopy") sequence. Resonance intensities on MRS will be determined from integration of peak areas between frequency bounds using the software LC-Model. Then, the 1H-MRS metabolic profiles will be compared to each cytokine evaluated in the three referred groups. | |
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