Isolating Seizure Activity in the EEG with Independent Component Analysis - James, Lowe () Citation Context ...ces y(t) = Wx(t) by estimating the demixing matrix W. When this conventional ICA was previously applied to pre-seizure EEG data, a seizure waveform component could be seen among ...
Inhibition of the p44/42 MAP kinase pathway protects hippocampal neurons in a cell-culture model of seizure activity. Excessive release of glutamate and the subsequent influx of calcium are associated with a number of neurological insults that result in neuronal death. The... Murray,Alessandrini,A...
Isolating Seizure Activity in the EEG with Independent Component Analysis The recently developed CICA method extracts the single component y(t) = ...C.J. James and D. Lowe. Isolating Seizure Activity in the EEG with Independent Component Analysis. Artificial Neural Networks in Medicine and Biology...
We designed patient-specific algorithms for seizure prediction to analyze the influence of envisioning the chronology of brain activity as a post-processing stage. For this, two distinct methodologies were adopted, along with a control one based on the most common framework. As presented in Fig. ...
The ability to cortisone to modify EEG and seizure activity was investigated in the baboon, Papio papio. Acute intramuscular doses (0.5–4 mg/kg) caused a dose-dependent increase in seizure response to a flashing light stimulus. This increase in seizure response was apparent in both seizure ...
Other researchers also used ApEn for seizure detection and showed the usefulness of this feature in this regard [33–37]. Ramanand et al. showed that while doing the mental arithmetic tasks SampEn decreases only in specific brain regions and the SampEn decreases more significantly for pathological...
Events-Seizure enables the user to select the desired event. • Events-Mark Print prints the event marked while acquiring the EEG. • Scroll-Previous Event scrolls the cursor to move to the previous event. • Scroll-Prev Page moves the cursor to the previous page. • Scroll-Next Page...
Hence, monitoring the brain electrical activity using EEG and analyzing its spectral information in the frequency domain can reveal seizure occurrences. However, EEG signals are often corrupted by noise, artifacts and/or brain activities (see Fig. 1a) that can be confused with seizure activities, ...
Subcortical neuronal activity is highly relevant for mediating communication in large-scale brain networks. While electroencephalographic (EEG) recordings provide appropriate temporal resolution and coverage to study whole brain dynamics, the feasibility to detect subcortical signals is a matter of debate. ...
We note that E v and I v are not the only parameters that can change the profile of the oscil- lations; reducing E 0 (the median background drive to the excitatory population) can also eradicate the seizure-like oscillations. Next we examine the bifurcation structure of the excitatory-...