• Tricks and Tips in BrainVision Recorder

Tricks and Tips in BrainVision Recorder – Part I

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.

  • The sound of silence: an EEG hyperscanning study

Understanding how sleep affects the human thalamus with EEG-fMRI

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.

2022-03-14T16:08:08+01:00April 21st, 2017|Categories: 2017, Issue 1/2017, User Research|Tags: , , , , , |

New Licensing Model available for Brain Products Software

We would like to announce a change in the licensing structure of our analysis and recording Software BrainVision Analyzer and BrainVision Recorder. Overall, this change leads to a major reduction of prices for the initial purchase of a Brain Products Software product (BrainVision Analyzer and BrainVision Recorder) and increased simplicity for the ordering process.

  • Getting EEG data in real-time for BCI, Neurofeedback and more

Getting EEG data in real-time for BCI, Neurofeedback and more

In the past years there has been an increased need and demand for real-time access to EEG data for purposes of quality control, parametrization, features extraction and online feedback. In this article, I will explore the concept of remote data access (RDA) and demonstrate how to access EEG data in real-time from our amplifiers.

2022-08-22T12:08:38+02:00December 17th, 2015|Categories: 2015, Issue 4/2015, Support & Tips|Tags: , , , , , |
  • New insights in motor imagery from real-time EEG feedback during concurrent fMRI

New insights in motor imagery from real-time EEG feedback during concurrent fMRI

Motor imagery (MI) combined with neurofeedback has been suggested as a promising rehabilitation approach for paralyzed individuals. EEG based MI feedback is particularly promising for therapeutic applications. Yet whether EEG feedback indeed targets specific sensorimotor activation patterns cannot unambiguously inferred from EEG alone. This article demonstrates that online correction of gradient artifacts and ballistocardiogram artifacts enables reliable MI EEG feedback inside the MRI scanner.

Recording EOG signals with actiCHamp – active or passive electrodes?

The artifacts produced by eye movements and blinks are problematic for the EEG researcher and can have a negative impact on results. Advanced algorithms (e.g. Ocular Correction ICA) can be very effective in correcting the ocular related artifacts, however in some cases a dedicated ocular channel is required. Here, we will describe various approaches on how to use an actiCHamp amplifier to record an Electrooculogram (EOG).

2022-02-19T12:57:13+01:00March 31st, 2015|Categories: 2015, Issue 1/2015, Support & Tips|Tags: , , , , , |
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