We are happy to inform you that the new BrainVision Analyzer 2.2.2 has been released. We are also excited about adding a completely new transformation, the CWL Regression for EEG-fMRI data correction. Let me take you on a tour of the new features and enhancements so that you can download Analyzer 2.2.2 from our website today and get started.
We’ve been very active in improving our EEG-fMRI solutions in recent years. Therefore, here is an EEG-fMRI safety refresher considering how the new developments fit into our safety recommendations.
We are excited to let you know that Carbon Wire Loops (CWL) for the BrainCap MR are now available to order. This solution is extremely helpful for the correction of motion related artefacts.
At the Montreal Neurological Institute and Hospital, we work with combined EEG and fMRI acquisition to study epileptic patients to determine the brain region responsible for the generation of seizures that characterize this condition. We use Carbon Wire Loops to help recover a clean signal from the EEG recorded in the MR environment.
EEG signals acquired in parallel to fMRI data require the handling of artifacts in the EEG dataset due to electrode motion, for example, by blood pulsation. Using carbon wire loops placed on EEG caps allows you to directly measure these artifacts and subsequently correct for them efficiently using a regression-based approach.
We are excited to announce some news that will bring our conditions for use in line with current trends in fMRI. We have updated the MRI sequence conditions for our BrainAmp MR amplifiers and BrainCap MR.
The BrainCap MR has been the preferred choice for simultaneous EEG-fMRI research for more than a decade. Due to advances in fMRI technology we have made some changes to improve the user experience and data quality.
You may not be surprised to learn that we have been working on a sponge-based electrode system for simultaneous EEG-fMRI and we are delighted to announce that our R-Net MR will be available soon.
We often receive questions from researchers regarding the quality of their EEG-fMRI data or the success of artifact handling procedures. Frequently, these data related problems can be traced back to the recording settings.
This user research article summarizes the publication “Brain Activation Time-Locked to Sleep Spindles Associated With Human Cognitive Abilities”. Here, simultaneous EEG-fMRI recordings were used to understand the functional significance of interindividual differences in brain activations, time-locked to sleep spindles.
