| 000 | 01697cam a2200313 4500500 | ||
|---|---|---|---|
| 005 | 20250112070715.0 | ||
| 041 | _afre | ||
| 042 | _adc | ||
| 100 | 1 | 0 |
_aTashkandi, Mariam _eauthor |
| 700 | 1 | 0 |
_a Baarma, Duaa _eauthor |
| 700 | 1 | 0 |
_a C. Tricco, Andrea _eauthor |
| 700 | 1 | 0 |
_a Boelman, Cyrus _eauthor |
| 700 | 1 | 0 |
_a Alkhater, Reem _eauthor |
| 700 | 1 | 0 |
_a Minassian, Berge A. _eauthor |
| 245 | 0 | 0 | _aEEG of asymptomatic first-degree relatives of patients with juvenile myoclonic, childhood absence and rolandic epilepsy: a systematic review and meta-analysis |
| 260 | _c2019. | ||
| 500 | _a2 | ||
| 520 | _aAimsRolandic (RE), childhood absence (CAE) and juvenile myoclonic (JME) epilepsy encompass centrotemporal sharp waves, 3-Hz spike waves and >3-Hz spike or polyspike waves, respectively. Evidence abounds for genetic roles in all three syndromes, yet involved genes for the vast majority of patients remain unknown. It has long been proposed that while each disease is genetically complex, its specific EEG trait may represent a genetically simpler endophenotype. This meta-analysis of the literature focuses on the frequency of EEG traits in clinically unaffected first-degree relatives towards determining inheritance patterns of the EEG endophenotypes. | ||
| 690 | _aunaffected | ||
| 690 | _ajuvenile myoclonic epilepsy | ||
| 690 | _asibling | ||
| 690 | _aspike wave | ||
| 690 | _aRolandic epilepsy | ||
| 690 | _aendophenotype | ||
| 690 | _aEEG trait | ||
| 690 | _achildhood absence epilepsy | ||
| 786 | 0 | _nEpileptic Disorders | Vol 21 | 1 | 2019-01-01 | p. 30-41 | 1294-9361 | |
| 856 | 4 | 1 | _uhttps://shs.cairn.info/revue-epileptic-disorders-2019-1-page-30?lang=en |
| 999 |
_c247044 _d247044 |
||