Psychotherapist/Dramatherapist, 10 years’ experience, Greece

2020 ◽  
pp. 118-120
Author(s):  
Markus Reuber ◽  
Gregg H. Rawlings ◽  
Steven C. Schachter
Keyword(s):  
Epileptic Seizures ◽  
Holistic Approach ◽  
Conversion Disorder ◽  
Eeg Monitoring ◽  
Psychological Method ◽  
The Mind ◽  
First Time ◽  
Video Eeg ◽  
Over Time

This chapter describes the experience of a Psychotherapist/Dramatherapist when working in a Neuropsychiatry department. It was there that the Psychotherapist met patients with Conversion Disorder for the first time and worked with them and others who were undergoing video-EEG monitoring for unexplained attacks, fits, or seizures. These experiences, among many others, have gradually led the Psychotherapist to create “Metamyth,” a psychological method uniquely suitable for the treatment of people with epilepsy. Metamyth for people with Non-Epileptic Seizures (NES) adopts a different approach to that used with epilepsy. As a holistic approach, Metamyth is interested in the mind, body, soul and intuition, and communication. Considerable patience is needed to understand the complexity of each patient with NES and for the diagnosis to reveal itself over time.

Neurologist, 13 years’ experience, Australia

2020 ◽  
pp. 204-206
Author(s):  
Markus Reuber ◽  
Gregg H. Rawlings ◽  
Steven C. Schachter
Keyword(s):  
Emergency Department ◽  
Behavioral Therapy ◽  
Epileptic Seizures ◽  
Clinical Psychologist ◽  
Eeg Monitoring ◽  
Patient Reported ◽  
History Of ◽  
Convulsive Seizures ◽  
One Year ◽  
Video Eeg

This chapter discusses the experience of a Neurologist with a patient who presented with a history of three bilateral convulsive seizures over a period of several months. The Neurologist started him on an adjunct antiepileptic therapy and he became seizure free. However, the situation changed dramatically after a stable period of twelve months. He started having seizures again and his mother was able to recognize that these seizures were different from those he had had one year earlier. Prolonged video-EEG monitoring confirmed the diagnosis of Non-Epileptic Seizures (NES). The Neurologist then referred the patient to a Clinical Psychologist, who used Cognitive Behavioral Therapy and taught him some techniques to cope with the condition. Eventually, the patient and his family were able to manage the NES better with the help of the psychologist. The patient reported a significant improvement clinically with less frequent NES and they learned how to manage the situation without visiting the Emergency Department.

Psychologist, 2 years’ experience, USA; Psychologist, 5 years’ experience, USA

2020 ◽  
pp. 122-125
Author(s):  
Markus Reuber ◽  
Gregg H. Rawlings ◽  
Steven C. Schachter
Keyword(s):  
Epileptic Seizures ◽  
Holistic Approach ◽  
Well Being ◽  
Definitive Diagnosis ◽  
Adolescent And Young Adult ◽  
Frontal Lobe Epilepsy ◽  
Compelling Evidence ◽  
Caucasian Female ◽  
Video Eeg

This chapter presents a case with compelling evidence for frontal lobe epilepsy (FLE) and Psychogenic Non-Epileptic Seizures (PNES) to address the difficulties providers encounter in helping families receive a definitive diagnosis and eventual path forward. The patient in question was a teenage Caucasian female seeking a third opinion for paroxysmal events. Her father had requested an evaluation to rule out epilepsy after having been told twice before that his daughter’s episodes were likely to be psychogenic in nature. Evidence subsequently obtained over the course of her three-day video-EEG hospitalization provided support for both epilepsy and PNES. The chapter then argues that every adolescent and young adult with epilepsy would benefit from a holistic approach to seizure management, one that takes into account the patient’s quality of life, psychosocial well-being, and relationship with school, family, and friends.

scholarly journals Time distribution of epileptic seizures during video-EEG monitoring. Implications for health insurance systems in developing countries

Seizure ◽  
1997 ◽  
Vol 6 (6) ◽  
pp. 475-477 ◽  
Author(s):  
R.C.Q. Quiroga ◽  
L. Pirra ◽  
C. Podestá ◽  
R.C. Leiguarda ◽  
A.L. Rabinowicz
Keyword(s):  
Developing Countries ◽  
Health Insurance ◽  
Time Distribution ◽  
Epileptic Seizures ◽  
Eeg Monitoring ◽  
Video Eeg

Cardiorespiratory and autonomic function in epileptic seizures: A video-EEG monitoring study

2020 ◽  
Vol 111 ◽  
pp. 107271
Author(s):  
Shobi Sivathamboo ◽  
Thomas N. Constantino ◽  
Zhibin Chen ◽  
Paul B. Sparks ◽  
Jeremy Goldin ◽  
...  
Keyword(s):  
Autonomic Function ◽  
Epileptic Seizures ◽  
Eeg Monitoring ◽  
Monitoring Study ◽  
Video Eeg

scholarly journals Heart rate analysis differentiates dialeptic complex partial temporal lobe seizures from auras and non-epileptic seizures

2007 ◽  
Vol 65 (3a) ◽  
pp. 565-568 ◽  
Author(s):  
Gisele R. de Oliveira ◽  
Francisco de A.A. Gondim ◽  
R. Edward Hogan ◽  
Francisco H. Rola
Keyword(s):  
Heart Rate ◽  
Temporal Lobe ◽  
Epileptic Seizures ◽  
Eeg Monitoring ◽  
Rate Analysis ◽  
Temporal Lobe Seizures ◽  
Heart Rate Analysis ◽  
Video Eeg

The distinction of non-epileptic from epileptic events is difficult even for experienced neurologists. We retrospectively evaluated 59 dialeptic events from 27 patients admitted for video EEG monitoring to check whether heart rate (HR) analysis could help in differentiating dialeptic complex partial temporal lobe seizures (TLS) from dialeptic simple partial TLS, and non-epileptic dialeptic events. Baseline HR was increased in the simple partial TLS in comparison to complex partial TLS and non-epileptic groups (p<0.05). HR increase accompanied each individual dialeptic complex partial TLS (100% of the events, p<0.05) bur HR returned to baseline in the post-ictal phase. Ictal HR was not altered in the non-epileptic or simple partial TLS groups. Our findings suggest that ictal centrally mediated tachycardia is characteristic of dialeptic TLS (both tachycardia and bradycardia have been reported during TLS). This finding may be used as a criterion to distinguish dialeptic complex partial TLS from simple partial and non-epileptic dialeptic events.

scholarly journals DETECTING EVENTS IN VIDEO SEQUENCE OF VIDEO-EEG MONITORING

2019 ◽  
Vol XLII-2/W12 ◽  
pp. 155-159
Author(s):  
D. Murashov ◽  
Y. Obukhov ◽  
I. Kershner ◽  
M. Sinkin
Keyword(s):  
Optical Flow ◽  
Clinical Data ◽  
Video Sequence ◽  
Epileptic Seizures ◽  
Monitoring Data ◽  
Video Sequences ◽  
Eeg Monitoring ◽  
Preliminary Results ◽  
Video Eeg

<p><strong>Abstract.</strong> In this paper, an algorithm for automated detecting diagnostic events in video channel of video and electroencephalographic (EEG) monitoring data is presented. The analysis of video sequences is focused on identifying a group of frames with high or very low (depending on the type of seizure) dynamics of informative areas according to a criterion calculated during processing of the optical flow. The preliminary results of the analysis of real clinical data are given and compared with data obtained from the synchronous EEG. The results showed the possibility in principle of reliable diagnosing epileptic seizures and distinguishing them from non-epileptic events.</p>

scholarly journals Cognitive Epileptiform Disintegration in Children

2018 ◽  
Author(s):  
R Gamirova ◽  
E Gorobets ◽  
V Marulina
Keyword(s):  
Cognitive Functions ◽  
Developmental Disorders ◽  
Epileptiform Activity ◽  
Cognitive Disorders ◽  
Epileptic Seizures ◽  
Speech Disorders ◽  
Eeg Monitoring ◽  
Recording Time ◽  
Visual Spatial ◽  
Video Eeg

Cognitive epileptiform disintegration is a specific disease associated with severe epileptiform activity on the EEG in the absence of epileptic seizures accompanied by different developmental cognitive disorders in children. The quantitative and qualitative characteristics of these developmental disorders have changed in the last10 years. The article presents the analysis of cognitive epileptiform disintegration specificity and the results of the survey that included 57 children aged 2–7 with developmental disorders caused by epileptiform activity that was revealed during video EEG monitoring with sleep deprivation. The children were assessed with19-channel EEG, synchronized with a video-monitoring system. Recording time was 1–2 hours. The psychometric methods used for the assessment of cognitive functions were three batteries of tests for children according to their age (2 years – MacArthur Communicative Development Inventories, 3–5 years – subtests created in Kazan’ Federal University, 6–7 years – T.V. Akhutina’s methods of neuropsychological diagnosis). The results of the research show that cognitive impairment in children with cognitive epileptiform disintegration aged 2–7 are complex, and predominantly they are the results of general developmental disorders associated with constant strong electrical impact on the functional blocks of the brain. Speech is most severely affected, both expressive and impressive, but speech disorders are always accompanied by the deficit of visual-spatial and kinesthetic analyzers, the deficit of the third functional block development and behavioral (predominantly autism-like) disorders. Keywords: cognitive epileptiform disintegration, developmental disorders, speech disorders, video EEG monitoring, higher cortical functions, assessment of speech, assessment of cognitive functions

scholarly journals An algorithm for detecting events in video EEG monitoring data of patients with craniocerebral injuries

2021 ◽  
Vol 45 (2) ◽  
pp. 301-305
Author(s):  
D.M. Murashov ◽  
Y.V. Obukhov ◽  
I.A. Kershner ◽  
M.V. Sinkin
Keyword(s):  
Data Analysis ◽  
Epileptic Seizure ◽  
Epileptic Seizures ◽  
Video Data ◽  
Joint Analysis ◽  
Eeg Monitoring ◽  
Eeg Signals ◽  
Craniocerebral Injuries ◽  
Video Eeg

One of the problems solved by analyzing the data of long-term Video EEG monitoring is the differentiation of epileptic and artifact events. For this, not only multichannel EEG signals are used, but also video data analysis, since traditional methods based on the analysis of EEG wavelet spectrograms cannot reliably distinguish an epileptic seizure from a chewing artifact. In this paper, we propose an algorithm for detecting artifact events based on a joint analysis of the level of the optical flow and the ridges of wavelet spectrograms. The preliminary results of the analysis of real clinical data are given. The results show the possibility in principle of reliable distinguishing non-epileptic events from epileptic seizures.

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