Ensuring high-quality EEG recordings in integrated fNIRS-EEG setups

MultimodalityAPEX

Jul 16

Multimodal fNIRS-EEG measurements

Combining Electroencephalography (EEG) and functional Near-Infrared Spectroscopy (fNIRS) is becoming increasingly common in neuroscience research, as it merges the strengths of both modalities to provide a more comprehensive view of brain activity. To support seamless multimodal integration, we offer various solutions, among them, combined holders designed to optimize sensor placement and enhance setup flexibility. These holders enable improved spatial distribution, allowing for the placement of additional optodes and electrodes. However, the close proximity of sensors may increase the risk of interference, potentially affecting EEG signal quality.

In our latest blog post collaboration with Artinis NIRS, we investigate the potential for interference during multimodal fNIRS-EEG recordings using our integrated setup, which combines the Brite and the APEX. Through a series of tests, we demonstrate that high-quality EEG recordings can be achieved with minimal crosstalk, even in closely integrated configurations.

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Multimodality, APEX

Ensuring high-quality EEG recordings in integrated fNIRS-EEG setups

Multimodality, APEX

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.

Multimodality, APEX

EEG, SAGA, APEX

Types of EEG Electrodes: Gel, Water, and Dry

EEG, SAGA, APEX

Explaining the differences, advantages, and disadvantages of various EEG electrode types: Gel, Water, and Dry.

EEG, SAGA, APEX

EEG, Multimodality

Multimodal Measurement: Integration of EEG & fNIRS

EEG, Multimodality

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.

EEG, Multimodality

Hyperscanning to Investigate Human Social Interactions

EEG, Multimodality

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.

EEG, Multimodality

EEG, APEX, SAGA

Event-Related Potentials in EEG

EEG, APEX, SAGA

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.

EEG, APEX, SAGA

What is the P300 in Event-Related Potentials (ERPs)?

EEG, APEX, SAGA

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.

EEG, APEX, SAGA

Motion Artifacts on EEG

EEG, APEX, SAGA

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.

EEG, APEX, SAGA

General, EEG, SAGA, APEX

Basics of Measuring Bioelectricity in humans

General, EEG, SAGA, APEX

Bio-electricity refers to the measurable potential differences between two points on the body, providing valuable insights into the body's electrical activity. Understanding the origins of these potentials and the challenges involved in measuring them is essential for accurate interpretation and application.

General, EEG, SAGA, APEX

APEX, EEG, General, SAGA

Removing Artifacts From EEG Data Using Independent Component Analysis (ICA)

APEX, EEG, General, SAGA

Eye movements and blinks cause significant EEG artifacts, with blink artifacts being much larger in amplitude than EEG signals. Preventing eye movement artifacts is challenging, as restricting blinking or gaze can increase cognitive load. Post-processing methods like Independent Component Analysis (ICA) effectively remove these artifacts while preserving the data.

APEX, EEG, General, SAGA

Common non-physiological (external) EEG artifacts

APEX, EEG, General, SAGA

Learn how to recognize non-physiological (external) artifacts in the electroencephalogram (EEG) and how to prevent them.

APEX, EEG, General, SAGA

EEG, General, SAGA, APEX

Common physiological EEG artifacts

EEG, General, SAGA, APEX

A guide on how to recognize physiological artifacts in the electroencephalogram (EEG) and how to manage them.

EEG, General, SAGA, APEX

General, EEG, APEX, SAGA

What is Neurofeedback?

General, EEG, APEX, SAGA

Neurofeedback is a method that uses real-time brain activity to provide individuals with feedback on their brain function. Brain activity is often measured with electroencephalography (EEG). The goal of neurofeedback is to help individuals gain more control over their brain function. In this process, the user is provided with positive feedback for desirable brain activity and negative feedback for undesirable brain activity. This feedback mechanism is hypothesized to enable users to train and regulate their brain activity over time.

General, EEG, APEX, SAGA

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