Despite tens of thousands of publication, accurate seizure detection in the EEG remains an unsolved challenge. Here are some of the reasons why this may…
The Fundamental Challenge of Seizure Detection in the EEG
Lab Talk
The Perils of EEG Preprocessing
Often artifact removal means throwing out a lot of valuable signal. Is it worthwhile to throw the baby out with the bathwater? The EEG signal…
The Challenge of Seizure Prediction
Despite a large number of papers and competitions, accurate detection of seizures remains elusive. Here are some of the key challenges. According to the World…
Connectivity Estimation with Wavelet Coherence
Wavelet transforms can be used to compute coherence in the EEG and estimate dynamic interactions. Here is a primer on how to do this. Analogous…
5 New Year Resolutions for Your Lab
We all like new starts and the new year is a great time to revamp some things that maybe aren’t working well or could work…
Applications of Wavelets in EEG
In the previous blogpost, we discussed how wavelets allow us to perform time-frequency characterization of non-stationary signals such as EEG. Here we discuss some applications…
Time-Frequency Analysis and Wavelets
Wavelets overcome limitations of methods such as the fourier transform by enabling a view of changes across both time and frequency. Here is a primer…
The Impact of Individual Differences in Neuroimaging Data
Inter and intra person variability in brain metrics across the population can result in misleading interpretation of results. It is important to understand the distributions…
How the Power Grid Has Shaped EEG Research
Power line noise at 50 and 60 Hz is bang in the middle of the spectrum of brain activity and is often picked up by…
A Primer on the Application of Graph Theory to EEG
Graph theory has been most commonly used to understand the structure of social networks and has gained traction in the last decade as an important…
