In Artinis NIRS blog, you will find the latest trends in (f)NIRS, NIRS studies and applications, tutor from the leaders of near infrared spectroscopy, not to mention detailed insights and tips and tricks for your research!
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Multimodal fNIRS-EEG measurements — Analysis approaches
When it comes to deciding on an appropriate data analysis approach in multimodal fNIRS-EEG measurements, the soundest consideration factors ultimately depend on the research question at hand. Therefore, the analysis steps may vary from one study to another. Nonetheless, they can broadly be classified into two strategies: parallel data analysis and informed data analysis.
Multimodal fNIRS-EEG measurements — Experimental Design
Finding a suitable experimental design when performing multimodal fNIRS-EEG measurements is an important step in every study. Read this blogpost to learn more about commonly used experimental designs and how those can be adopted in multimodal research.
Multimodal fNIRS-EEG measurements — Integration on the head
When simultaneously measuring fNIRS and EEG, placement of both devices should ideally ensure proper coverage of the desired measurement location, minimize interference and take into account (technical) characteristics and basic of both techniques. Read this blog post to learn more about relevance of these points and further recommendations for integrating fNIRS and EEG on one head.
Multimodal fNIRS-EEG measurements — Staying in sync
In this second blog post, we discuss synchronization in multimodality. When using fNIRS and EEG simultaneously, synchronization of both data streams is crucial to achieve temporal correspondence between both signals. Read this post to learn more about how to get to the ideal synchronization solution for you, which can depend on different factors, such as device specifications, software capabilities and experimental setup.
Introduction to multimodal fNIRS — EEG measurements
In this blog post, we give an introduction to multimodality and explain the hallmarks, advantages, and challenges of combining fNIRS and EEG to measure brain activity. This is the first part of a blog post series on multimodality fNIRS-EEG measurements.
Exploring early brain development in real-world settings: an interview with Dr. Paola Pinti
Dr. Paola Pinti is a Senior Research Laboratory Developer in the Birkbeck ToddlerLab. In this interview, she shares her experience in neuroscience, her work in the ToddlerLab, and the usage of a multimodal set-up to investigate behavior and brain of preschool children.
The Starstim fNIRS - Combining tES brain stimulation and EEG + fNIRS neuroimaging in one headcap
Starstim fNIRS is the most adaptable solution to combine tES brain stimulation with EEG and fNIRS neuroimaging in one single wireless and wearable system – and what makes it the most versatile solution for researchers and clinicians in many application areas. The possibility to combine tES with multiple neuroimaging modalities in one device facilitates altering human behavior and acquiring a more complete picture of the brain. It further increases application possibilities and reduces set-up and measurement time.
Heart rate extraction from NIRS signal
A commonly asked question is “What are the advantages of NIRS over EEG?”. NIRS signals are, in general, less susceptible to artifacts like motion artifacts or electrical noises. There are, however, also physiological components such as heartbeat, breathing, and Mayer-waves present in the signal. Although not an artifact, these components are usually filtered out since they are not useful in determining the pure hemodynamic response signal of the brain. Nevertheless, there is interesting information in the heartbeat. In this blog, we talk about taking advantage of the heartbeat in the NIRS signals and extracting the heart rate signal from them.