| dc.creator | Cendes, F | |
| dc.date | 2011 | |
| dc.date | JUL | |
| dc.date | 2014-07-30T17:23:49Z | |
| dc.date | 2015-11-26T16:37:53Z | |
| dc.date | 2014-07-30T17:23:49Z | |
| dc.date | 2015-11-26T16:37:53Z | |
| dc.date.accessioned | 2018-03-28T23:21:05Z | |
| dc.date.available | 2018-03-28T23:21:05Z | |
| dc.identifier | Epilepsia. Wiley-blackwell, v. 52, n. 7, n. 9, 2011. | |
| dc.identifier | 0013-9580 | |
| dc.identifier | WOS:000292500300002 | |
| dc.identifier | 10.1111/j.1528-1167.2011.03143.x | |
| dc.identifier | http://www.repositorio.unicamp.br/jspui/handle/REPOSIP/65284 | |
| dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/65284 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1272145 | |
| dc.description | The best prognostic factors in early-onset epilepsies are the response to the first antiepileptic drug (AED) trial, age at seizure onset, number of seizures prior to treatment, and the presence of a lesion or abnormal neurologic examination. However, early and adequate response to AED is most likely an epiphenomenon reflecting the nature of underlying epileptogenicity, which may be defined as a complex interaction of underlying pathology, genetics, and environment. Patients with the same type of epileptogenic lesion, for example, hippocampal sclerosis, may have a varying response to AED. Modern neuroimaging, in particular quantitative magnetic resonance imaging (MRI) techniques may be helpful to better understand this complex interaction of factors leading to refractoriness. Patients who respond well to AEDs have no or minor MRI abnormalities, and among those with underlying lesions there is an inverse correlation between outcome and the extent of MRI-defined neuronal damage outside the main lesion, which may be undetectable by visual analyses of routine MRI. The extent of neuronal damage appears to be related to the severity of initial precipitating injuries, probably interacts with genetic factors, and may progress over time when seizures are uncontrolled. The presence and extent of abnormalities detected by quantitative MRI may also be helpful to guide AED withdrawal in those patients who are seizure free for >2 years. Combined MRI measures may have potential clinical value for predicting AED response in near future. | |
| dc.description | 52 | |
| dc.description | 4 | |
| dc.description | SI | |
| dc.description | 7 | |
| dc.description | 9 | |
| dc.language | en | |
| dc.publisher | Wiley-blackwell | |
| dc.publisher | Malden | |
| dc.publisher | EUA | |
| dc.relation | Epilepsia | |
| dc.relation | Epilepsia | |
| dc.rights | fechado | |
| dc.rights | http://olabout.wiley.com/WileyCDA/Section/id-406071.html | |
| dc.source | Web of Science | |
| dc.subject | Antiepileptic drugs | |
| dc.subject | Magnetic resonance imaging | |
| dc.subject | Proton MRI spectroscopy | |
| dc.subject | Outcome | |
| dc.subject | Seizures | |
| dc.subject | Temporal-lobe Epilepsy | |
| dc.subject | Seizure Frequency | |
| dc.subject | Drug-resistance | |
| dc.subject | Childhood | |
| dc.subject | Abnormalities | |
| dc.subject | Recurrence | |
| dc.subject | Remission | |
| dc.subject | Atrophy | |
| dc.title | Neuroimaging predictors of AED resistance in new-onset epilepsies | |
| dc.type | Artículos de revistas | |
