Seizure prediction and recall.
Using separate generalized mixed-effects models, we assessed seizure recall and prediction, as well as contributing diagnostic variables, in 83 adult patients with epilepsy undergoing video/EEG monitoring. The model revealed that when participants predicted a seizure, probability equaled 0.320 (95% CI: 0.149-0.558), a significant (P<0.05) increase over negative predictions (0.151, 95% CI: 0.71-0.228]). With no seizure, the rate of remembering was approximately 0.130 (95% CI: 0.73-0.219), increasing significantly to 0.628 (95% CI: 0.439 to 0.784) when a seizure occurred (P<0.001). Of the variables analyzed, only inpatient seizure rate influenced predictability (P<0.001) or recollection (P<0.001). These models reveal that patients were highly aware of their seizures, and in many cases, were able to make accurate predictions, for which seizure rate may be an important factor.
DuBois
J M
JM
Department of Neurology, NYU Langone School of Medicine, NYU Epilepsy Center, 223 East 34th Street, New York, NY 10016, USA. jonathan.m.dubois@gmail.com
Boylan
L S
LS
Shiyko
M
M
Barr
W B
WB
Devinsky
O
O
D000293:Adolescent; D000328:Adult; D001364:Awareness / Q000502:physiology*; D004569:Electroencephalography; D004827:Epilepsy / Q000503:physiopathology* / Q000523:psychology; D005260:Female; D006801:Humans; D008297:Male; D011939:Mental Recall / Q000502:physiology*; D008875:Middle Aged; D018579:Patient Selection; D011446:Prospective Studies; D012640:Seizures / Q000503:physiopathology* / Q000523:psychology; D011795:Surveys and Questionnaires
IEEE Trans Biomed Eng. 2003 May;50(5):616-27
12769437
J Clin Neurophysiol. 2006 Dec;23(6):509-20
17143139
Clin Neurophysiol. 2005 Mar;116(3):532-44
15721067
Brain Topogr. 1990 Spring;2(3):187-201
2116818
Biomed Sci Instrum. 1988;24:187-93
3378094