Besides our solutions for EEG recordings, Brain Products offers a variety of sensors dedicated to peripheral physiological signals. This guide should provide you with an overview of processing steps that are commonly applied to sensor signals and how you can implement them in your analysis pipeline in BrainVision Analyzer 2.
Curious about combining EEG and fNIRS for your mobile research? If the answer is yes, then check out our step-by-step guide on mobile EEG-fNIRS setup with LiveAmp, actiCAP slim/snap, and NIRSport 2.
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.
A new major update of our flagship analysis software, BrainVision Analyzer 2, is about to be released. In this article we intend to familiarize you with the most salient features coming with Analyzer 2.2.0, hoping they have a positive impact on your research work.
Alcohol intoxication impairs motor coordination, judgement, and decision-making. Interestingly, research suggests that the impact of alcohol consumption continues beyond the point of intoxication and into a period of alcohol hangover. Here, we examined differences in the amplitude of reward positivity – an event-related brain potential component associated with learning and how the amplitude of this component was impacted by alcohol hangover
We are able to show using EEG-fMRI that the functional connectivity of the thalamus is generally increased by sleep onset and depth, and that sleep has a differential effect on sub-divisions of the thalamus. EEG-fMRI is a vital tool to understand the impact of sleep on cortical and subcortical processing.
BrainVision Analyzer 2 is easy to use and offers a variety of views to display your data with a single mouse click. However, science develops and new analysis methods entail the need for new data visualizations that Analyzer 2 does not yet support. This article briefly discusses how to expand the view capabilities of Analyzer 2 using the MATLAB® transformation. Two examples will illustrate this feature, where ECoG grid data and EEG connectivity matrices are visualized using simple MATLAB® functions.
Electroencephalography (EEG) concurrently acquired with fMRI provides high temporal resolution information about brain activity as well as subject head movement. We introduced an EEG-assisted retrospective motion correction (E-REMCOR) method that utilizes EEG data to correct for head movements in fMRI on a slice-by-slice basis and substantially improves the quality of the data. To further enhance the usability of E-REMCOR, especially for the large-scale EEG-fMRI studies, we developed an automatic and improved implementation of E-REMCOR, referred as aE-REMCOR.
Our recent study “Age-sensitive effects of enduring work with alternating cognitive and physical load. A study applying mobile EEG in a real life working scenario” demonstrates how mobile EEG can be utilized not only for user state examination but also for the evaluation of cognitive processing in real life working situations. Here is a summary of our publication.
Why markers? Investigating electrophysiological effects that evolve over hundreds of milliseconds requires precisely timed triggers that can be used for trial alignment or averaging. This article will give you an overview of how to manage, edit and process your markers most efficiently in Analyzer 2.
