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Latest ExG articles
The integration of EEG and fNIRS combines the strengths of both techniques, capturing electrical activity and hemodynamic responses for a deeper understanding of brain function. This multimodal approach enhances research in areas like brain-computer interfaces, hyperscanning, and clinical studies, offering high temporal and spatial resolution in a non-invasive, portable setup.
Hyperscanning is an innovative technique that allows researchers to simultaneously record and analyze the brain activity of multiple individuals during social interactions. By utilizing methods such as EEG, fMRI, and fNIRS, hyperscanning provides insights into the neural mechanisms underlying cooperative and competitive behaviors. This approach enhances our understanding of how brains communicate during shared activities, offering valuable perspectives in fields like neuroscience, psychology, and social sciences.
In the field of electrophysiological measurements, we distinguish two types of measurement principles: the bipolar and the unipolar measurement principle. Here we will explain the difference between the principles as well as the different unipolar measurements that exist.
ERP is the neural response associated with a specific sensory, cognitive, or motor event (e.g. a stimulus). An ERP is often recorded using scalp electroencephalography (EEG) and looks at the average change in voltage over time starting at the onset of the stimulus over multiple trials. ERP measurements have a precise temporal resolution, which is useful in testing perception and attention.1 This information can be used to evaluate brain functioning by looking at how the brain normally processes information, as well as viewing how this processing may differ in neurological or psychiatric disorders.
This blog describes what the P300 is and how you can detect it. It includes a practical example of how a P300 response was measured using TMSi's SAGA, including the experimental protocol, a sample dataset, and all acquisition and processing codes. At the end of this blog, you will be able to download this sample data set and run through the scripts to view the P300 yourself.
A common problem in measurement setups where the subject is allowed to move around is the movement artifact. Movement artifacts on EEG measurements originate from two different phenomena: the movement of the cables and the movement of the electrode.
The 10-20 system is an internationally recognized method for standardizing the placement of EEG electrodes on the scalp. This system ensures consistent and replicable EEG recordings by using specific anatomical landmarks to determine electrode positions, facilitating accurate assessment of brain activity across various regions. Extensions of this system, such as the 10-10 and 10-5 systems, offer higher resolution measurements by incorporating additional electrodes between existing positions.
This blog post explores the different types of brain waves—alpha, beta, theta, and delta—and their unique frequencies, functions, and associations with relaxation, focus, creativity, and sleep.
Electrophysiological measurements often include interference from mains electricity, typically 220 V/50 Hz in Europe and 110 V/60 Hz in other regions. Even when using battery-powered amplifiers, mains interference can still affect recordings due to various pathways. Understanding these interference mechanisms is key to minimizing their impact.
Videos
Subscribe to our YouTube channel for guides on our EEG/HD-EMG systems, and videos explaining the theory behind electrophysiological measurements.
In this video, we will discuss what you will need to correctly measure and position your EEG Headcap.
Webinars
Explore our previous webinars on EEG and HD-EMG, covering topics such as motor unit decomposition, EEG headcaps, active shielding, and physiological signal analysis for freezing of gait in Parkinson’s disease. Access recordings and summaries to review key insights from experts in the field.
Electroencephalography (EEG) is a non-invasive technique that measures the electrical activity of the brain, providing insights into brain function and cognitive processes. Using electrodes on the scalp and an EEG amplifier, brain waves can be recorded and interpreted by a researcher or clinician. By understanding measurement techniques and being aware of common artifacts, such as mains interferences or physiological artifacts, an accurate EEG signal can be measured. This can be used for many different applications in the fields of psychology, neuroscience, neurorehabilitation, and more.
What is HD-EMG?
High-Density Electromyography (HD-EMG) is a non-invasive method that measures muscle activity's spatial and temporal patterns through EMG signals recorded on the skin's surface. HD-EMG signals offer valuable insights into muscular activation, making it useful for neuromuscular research. The spatiotemporal signals provide information about regional activation of the muscles, including the magnitude and the size of the active region(s) of the muscle. Using decomposition methods, single motor unit activity can be extracted to represent the neural drive to the muscle. HD-EMG has various research applications, including rehabilitation, neuromuscular control, biomechanics, and signal processing.
This blog post explores the integration of EEG and fNIRS for multimodal brain monitoring, focusing on potential interference when sensors are placed in close proximity. Using the Brite and APEX systems with combined holders, the study demonstrates that high-quality EEG data can still be achieved with minimal crosstalk, supporting the effectiveness of our integrated solution for simultaneous EEG-fNIRS measurements.