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.
Using resting state EEG to investigate long-term stability in children’s frontal EEG alpha asymmetry
In a recent study (Müller, B. C. N., Kühn-Popp, N., Meinhardt, J., Sodian, B., & Paulus, M. 2015. Long-term stability in children’s frontal EEG alpha asymmetry between 14-months and 83-months. International Journal of Developmental Neuroscience, 41, 110-114), we measured resting state alpha EEG in children at two measurement points. This user research article provides an overview of our study.
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.
New video publication on infant EEG. “Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants”
A research group from University of Houston presented a novel methodology for the neural decoding of intent from freely-behaving infants during unscripted social interaction with an actor. Neural activity was acquired using actiCAP EEG electrodes. Kinematic data was collected with inertial measurement units and supplemented with synchronized video recording.
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.
Compared to other senses, very little is known about taste. In a recent study (Crouzet, S. M., Busch, N. A., & Ohla, K. (2015). Taste quality decoding parallels taste sensations. Current Biology, 25(7), 890-896.), we used mulitvariate pattern analysis of single-trial EEG data to investigate which information about a taste is represented in taste-evoked brain responses.
Simultaneous EEG-fMRI acquisitions can offer valuable insights for the non-invasive study of human brain function. Concurrently, the benefits offered by high-field imaging have attracted considerable interest towards simultaneous EEG-fMRI at higher field strengths. Unfortunately, simultaneous acquisitions are subject to problematic interactions that can compromise data quality and subject safety. Reducing noise during acquisition is crucial to improve EEG data quality, especially at higher fields. In this article, we assessed the importance of EEG cable length and geometry on noise sensitivity, at 7T, at the level of transmission between the cap and amplifiers.
Integration of concurrent real-time fMRI and EEG data: Self-regulation of human brain activity using simultaneous real-time fMRI and EEG neurofeedback
We integrated concurrent real-time fMRI (rtfMRI) and electroencephalography (EEG) data on commercial MRI and EEG equipment. We also report a proof-of-concept experiment using simultaneous multimodal rtfMRI and EEG neurofeedback (rtfMRI-EEG-nf). With this approach participants receive information about their electrophysiological (EEG) and hemodynamic (BOLD fMRI) activity in real-time, and volitionally regulate their own brain activity.
Imaging the human brain during active behavior is essential to understand how the brain supports natural cognitive processes that are based on and make use of our physical structure. A new imaging modality, mobile brain/body imaging (MoBI), uses electroencephalography (EEG) synchronized to motion capture and other data streams to investigate brain activity while participants actively move in and interact with their environment.
This article reviews research at the University of Houston on the design of non-invasive and reliable brain-machine interface (BMI) systems for the control of powered exoskeletons for restoration and rehabilitation of gait in persons with paraplegia and other forms of paralysis.