We heard your wishes and are happy to announce that we have partnered with our good friends at CGX to be able to offer you a high-grade, dry electrode, wearable headset.
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.
Initially, the BIDS (Brain Imaging Data Structure) standard aimed to create standards for organizing Magnetic Resonance Imaging (MRI) datasets. As such standards are also needed for Electroencephalography (EEG) and intracranial Electroencephalography (iEEG) data, BIDS has expanded its efforts in this direction, and we happily announce that our BrainVision Core Data Format 1.0 was adopted as one of the recommended official EEG/iEEG data formats.
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.
This user research summary is based on the article “Acute Biphasic Effects of Ayahuasca“. Ayahuasca is an amerindian psychoactive sacrament used worldwide. Neuroscience studies have shown contradictory results regarding its effects in the brain. Combining EEG, plasma samples and robust statistics, we’ve uncovered biphasic effects in the brain which are related to many psychoactive compounds, not only N,N-dimethyltryptamine (DMT), as previously proposed.
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.
BrainVision Analyzer 2 offers some nice export options that will suit (almost) every need for external processing. This article will summarize the most important routes out of Analyzer 2 and give some examples of how to use them within your own analysis.
