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.
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.
Here are some more short news as well as an overview of the latest updates and downloads for our products and solutions.
Here are some more short news as well as an overview of the latest updates and downloads for our products and solutions.
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.
This study investigates whether 4-month-old infants build causal action-effect models, a prerequisite for a sense of agency. Using behavioral and neural measures of violation of expectation, we found evidence for causal models only in a subset of infants. Thus, the sense of agency is beginning to emerge at this age.
This handy new feature in BrainVision Recorder makes it even easier to correctly cite our hardware and software products in your next publication.
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.
