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All Journal MNJ (Malang Neurology Journal)
Pillai, Ananthanarayana Marthanda
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Neuroscience

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EFFICACY OF SHORT TERM VIDEO EEG IN DETECTING PSYCHOGENIC NON-EPILEPTIC SEIZURES Parameswaran, Sajeesh; Vijayamma, Anil Kumar Thankappakurup; Pillai, Ananthanarayana Marthanda
Malang Neurology Journal Vol 5, No 2 (2019): July
Publisher : Malang Neurology Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.mnj.2019.005.02.3

Abstract

Background: Short term video Electroencephalography (SVEEG) is a non-invasive diagnostic procedure typically last for about 1-5 hours. SVEEG can be utilize to differentiate epileptic from Psychogenic Non-epileptic Seizures (PNES).
 Objective: To assess the yield of short term video EEG in detecting PNES.Methods: Retrospective analysis of short term video EEG in a tertiary level hospital. Patient history, provisional diagnosis, previous EEG and imaging reports were tabulated. Various short term video EEG findings like epileptiform abnormalities, PNES and other non-epileptic events were analyzed in detail. According to the provisional diagnosis formed two groups; Suspecting NEE and suspecting seizure disorders. Change in the provisional diagnosis after SVEEGs were also studied.Results: A total of 417 SVEEGs analyzed: 34(8.2%) patients developed events to suggest PNES, 16(3.8%) patients had other non-epileptic events; 96(23%) showed interictal epileptiform discharges,15 (3.6%) showed seizures and 90(21.6%) patients showed non specific EEG abnormalities. Around 60% SVEEGs were conclusive.Conclusion: A diagnostic event was recorded during SVEEG in majority of patients in the PNES group. SVEEG is a cost effective and useful diagnostic procedure; especially to identify non-epileptic events.
COMPARISON OF VARIOUS EEG ELECTRODE PLACEMENT SYSTEMS TO DETECT EPILEPTIFORM ABNORMALITIES IN INFANTS Parameswaran, Sajeesh; Anil Kumar, Thankappakurup Vijayamma; Mohan1, Ajith; Thomas, John; Sajeev, Nikhil; Swarnam, Kamala; Pillai, Ananthanarayana Marthanda
MNJ (Malang Neurology Journal) Vol. 7 No. 1 (2021): January
Publisher : PERDOSSI (Perhimpunan Dokter Spesialis Saraf Indonesia Cabang Malang) - Indonesian Neurological Association Branch of Malang cooperated with Neurology Residency Program, Faculty of Medicine Brawijaya University, Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.mnj.2021.007.01.7

Abstract

Background: Technical difficulties in placement of whole 10-20 electrode system is not uncommon in neonates and infants. Apart from the full channel many centers uses the modified and amplitude integrated EEG montages to identify seizures.Objective: Efficacy of standard, modified and amplitude integrated EEG electrode placement in infants to detect epileptiform abnormalities.Methods: All routine EEGs from June 2015 to April 2018 were taken. Age ≤ 2years at the time of recoding was the inclusion criteria. Digital EEG was performed according to standard 10-20 electrode placement system in all patients. Abnormal EEGs were reanalyzed in different montages like A) 21 electrodes- full channel, B) 10 electrodes- modified long distance and C)4 electrodes- (centro/parietal) respectively. Inter ictal epileptiform discharges (IEDs), seizures, periodic complexes and non-specific dysfunctions were tabulated in all patients. Full channel montages are considered bench mark for the analysisResults: A total 129 EEGs analyzed. A) Full channel standard 21 electrodes montages could identify IEDs in 35, non-specific electrophysiological dysfunction in 9 and burst-suppression pattern in 2 EEGs. B) Modified electrode placement consists of 10 electrodes could identify IEDs only in 26 EEGs and non-specific electro physiological dysfunction in 6 EEGs. A total of 28 nonconvulsive seizures (NCS) recorded in 6 patients; 20 numbers of NCS (71.4%) seen in modified electrode placement (B) and only 16 (57.1%) seen in centro/parietal electrode placement (C)..Conclusion: Standard EEG electrode placement has higher yield in detecting epileptiform abnormalities.
Co-Authors Anil Kumar, Thankappakurup Vijayamma John Thomas, John Mohan1, Ajith Parameswaran, Sajeesh Sajeev, Nikhil Swarnam, Kamala Vijayamma, Anil Kumar Thankappakurup