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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.
Our first Recorder Tricks and Tips article proved to be popular with our users, therefore, we decided to put together a follow-up article containing seven further useful hints for the use of BrainVision Recorder.
Our Analyzer 2 ‘Tricks and Tips’ support articles were very popular with our users. So, we have put together some more ‘Tricks and Tips’ for you, but this time it’s BrainVision Recorder’s turn. Here we present ten handy hints to help you get the most from your Recorder software.
You would like to start with EEG research, but you are unsure what amplifier works best for you? Given the range of possibilities, it can be hard to choose the best EEG amplifier for your research. If you could use some guidance, this article is a good start for you!
An EEG signal goes through various transformations on both the hardware- and software-level before being saved on the hard disk or being displayed on the screen. This article explains the pipeline principles and highlights the difference between user-configurable filters vs. automatic filters that prevent aliasing artifacts by design.
After E-Prime, Presentation, and Experiment Builder, we now introduce the integration of code in PsychoPy that allows you to remotely control BrainVision Recorder directly from the Python-based open source stimulus presentation software.
Until recently, there has been little information about EEG data quality and safety when used with newer multi-band (MB) fMRI sequences. Here, we measure the relative heating of a MB protocol compared with a standard single-band (SB) protocol considered to be safe. We also evaluated EEG quality recorded concurrently with the MB protocol on humans.
A guide to peripheral physiology measurements using the BrainAmp ExG MR – Part 2: Let’s focus on ECG
In this part of our peripheral physiology series we introduce ECG measurement using BrainAmp ExG MR in the MR environment. The safety issues associated with ECG in the MR environment are highlighted. We explain the mechanisms which may limit the signal quality and introduce a methodology to obtain precise heart rate information.
In this hyperscanning series, we first introduced our gold standard solution based on BrainAmps, then a wireless solution using CGX Quick headsets and the StimTrigger, as well as the extremely flexible LSL solution. In this fourth part, we demonstrate another hardware-based option: using the trigger mirror mode which can be used with actiCHamp Plus and LiveAmp together with the Sensor & Trigger Extension.