Differential Semiology Based on Video Electroencephalography Monitoring Between Psychogenic Nonepileptic Seizures and Temporal Lobe Epileptic Seizures

LOMBARDI, NICOLÁS; SCÉVOLA, LAURA; SARUDIANSKY, MERCEDES; GIAGANTE, BRENDA; GARGIULO, ANGEL; ALONSO, NICOLÁS; STIVALA, ERNESTO GONZALEZ; ODDO, SILVIA; FERNANDEZ-LIMA, MÓNICA; KOCHEN, SILVIA; KORMAN, GUIDO PABLO; D'ALESSIO, LUCIANA

PSYCHOSOMATICS

AMER PSYCHIATRIC PUBLISHING, INC

Año: 2021 vol. 62 p. 22 - 28

0033-3182

Background: Psychogenic nonepileptic seizures (PNESs) are disruptive changes in behavior without ictal correlate of epileptic activity and high prevalence of psychiatric morbidity. Differential diagnosis is difficult particularly with temporal lobe epilepsy (TLE), which is also associated with high prevalence of psychiatric comorbidity. Although video electroencephalography is the gold standard for differential diagnosis, clinical semiology analysis may help the clinician in general medical practice. Objective: In this study, the differential semiology, based on video electroencephalography, between PNESs and TLE seizures was analyzed. Methods: The video electroencephalography of patients with diagnosis of PNES and TLE were reviewed and compared between groups. Clinical semiology of all episodes recorded by video electroencephalography in each patient was analyzed and classified in accordance with the presence of behavioral arrest, motor hyperkinetic activity, impaired awareness, aura, and automatisms. Chi square test and binary logistic regression were determined. Results: Thirty-two patients with PNES (32 ± 11 y) and 34 with TLE (32 ± 12 y) were included. Female patients were predominant in the PNES group (P < 0.05). Mean time duration of episodes was 6.8 ± 10 minutes in PNES and 1.6 ± 0.8 minutes in TLE (P < 0.05). Impaired awareness (odds ratio = 24.4; 95% confidence interval = 3.79 –157.3, P < 0.01), automatisms (odds ratio = 13.9; 95% confidence interval = 2.1– 90.5, P < 0.01), and shorter duration of the events (odds ratio = 2.261, 95% confidence interval = 1.149 – 4.449, P = 0.018) were found as independent factors for detecting TLE seizures comparing PNESs. Conclusion: Clinical semiology analysis may orientate the differential diagnosis in general medical practice, between PNESs and TLE seizures. Further studies comparing PNES semiology with other subtypes of epilepsies may complete these preliminary findings.