Startle induced epileptic seizures: a clinical and electrophysiological review of 22 children

2004 ◽  
Vol 35 (01) ◽  
Author(s):  
D Tibussek ◽  
G Wohlrab ◽  
B Schmitt
Keyword(s):  
Epileptic Seizures

Pulmonary Edema and Simultaneous Cardiac Dysfunction After Epileptic Seizures

2013 ◽  
Vol 40 (06) ◽  
pp. 896-897
Author(s):  
V. Pelliccia ◽  
C. Pizzanelli ◽  
S. Pini ◽  
P. Malacarne ◽  
U. Bonuccelli
Keyword(s):  
Pulmonary Edema ◽  
Cardiac Dysfunction ◽  
Epileptic Seizures

Complexity Measures of Brain Electrophysiological Activity

2010 ◽  
Vol 24 (2) ◽  
pp. 131-135 ◽  
Author(s):  
Włodzimierz Klonowski ◽  
Pawel Stepien ◽  
Robert Stepien
Keyword(s):  
Brain Activity ◽  
Deterministic Chaos ◽  
Epileptic Seizures ◽  
Eeg Signal ◽  
Eeg Signals ◽  
Complexity Measures ◽  
Electrophysiological Activity ◽  
Signal Complexity ◽  
Physiological Sleep ◽  
The Brain

Over 20 years ago, Watt and Hameroff (1987 ) suggested that consciousness may be described as a manifestation of deterministic chaos in the brain/mind. To analyze EEG-signal complexity, we used Higuchi’s fractal dimension in time domain and symbolic analysis methods. Our results of analysis of EEG-signals under anesthesia, during physiological sleep, and during epileptic seizures lead to a conclusion similar to that of Watt and Hameroff: Brain activity, measured by complexity of the EEG-signal, diminishes (becomes less chaotic) when consciousness is being “switched off”. So, consciousness may be described as a manifestation of deterministic chaos in the brain/mind.

Hysteresis in Coupled Chaotic Oscillators and Application to Epileptic Seizures

2003 ◽  
Author(s):  
A. Prasad ◽  
K. Narayanan ◽  
K. Tsakalis ◽  
L. Iasemidis
Keyword(s):  
Epileptic Seizures ◽  
Chaotic Oscillators

FV 921. What Do Teachers Know about Epileptic Seizures or Epilepsy in School?

2018 ◽  
Author(s):  
Gerhard Kurlemann ◽  
Franziska Hunkemöller ◽  
Michael Storck ◽  
Ralph Posingies ◽  
Barbara Fiedler ◽  
...  
Keyword(s):  
Epileptic Seizures

Can conversation analytic findings help with differential diagnosis in routine seizure clinic interactions?

2016 ◽  
Vol 12 (1) ◽  
pp. 13-24 ◽  
Author(s):  
Katie Ekberg ◽  
Markus Reuber
Keyword(s):  
Differential Diagnosis ◽  
Correct Diagnosis ◽  
Diagnostic Errors ◽  
Epileptic Seizures ◽  
Routine Clinical Setting ◽  
Choice Of Treatment ◽  
Transient Loss ◽  
Factual Content ◽  
Patient’S History ◽  
Linguistic Methods

There are many areas in medicine in which the diagnosis poses significant difficulties and depends essentially on the clinician’s ability to take and interpret the patient’s history. The differential diagnosis of transient loss of consciousness (TLOC) is one such example, in particular the distinction between epilepsy and ‘psychogenic’ non-epileptic seizures (NES) is often difficult. A correct diagnosis is crucial because it determines the choice of treatment. Diagnosis is typically reliant on patients’ (and witnesses’) descriptions; however, conventional methods of history-taking focusing on the factual content of these descriptions are associated with relatively high rates of diagnostic errors. The use of linguistic methods (particularly conversation analysis) in research settings has demonstrated that these approaches can provide hints likely to be useful in the differentiation of epileptic and non-epileptic seizures. This paper explores to what extent (and under which conditions) the findings of these previous studies could be transposed from a research into a routine clinical setting.

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