fNIRS UK 2023 Symposium
14-15 September, 2023, University of Essex Campus (Colchester, Essex)
Functional Near Infrared Spectroscopy in Europe
fNIRS UK 2023 Symposium - preliminary tentative programs for the symposium
fNIRS out of the research lab to study infant development
Sarah Lloyd-Fox , University of Cambridge
Cognitive Neuroscience
Learning in Social Interaction: a Multimodal Hyperscanning Study
Sara De Felice, Institute of Cognitive Neuroscience, University College London (UCL)
Rose-tinted embodiment: Mirroring impacts enjoyment, empathy, and cortical activity when observing synchronous movements
Ryssa Moffat, ETH Zurich
Listening to the Brain: A Large, Naturalistic HD-DOT Study Exploring the Link Between Music and Cognition through Public Engagement
Sruthi Srinivasan, University of Cambridge
Developmental Neuroscience
Behavioural and neural underpinnings of preschoolers’ social preference: a proof-ofprinciple study on the use of wearable fNIRS and immersive virtual reality to study social development
Chiara Bulgarelli, Birkbeck, University of London
Using diffuse optical tomography for evaluating brain hemodynamics in pre-term infants in response to glycemic events
Guy A. Perkins, Università degli Studi di Padova
Sleep EEG slow waves and their association with fNIRS functional connectivity in napping infants
Louisa Gossé, Birkbeck, University of London
Interpersonal neural synchrony in parent-child dyads: New data from fathers and mothers including attachment representations
Pascal Vrticka, University of Essex
NIRx (EBS 2.65)
Introductory fNIRS data analysis with the Satori software - from setup to presentation of findings
Biopac (EBS 1.1)
Combination of systemic physiology augmented fNIRS (SPA-fNIRS) combined with virtual reality (VR)
Artinis (EBS 2.65)
Technical and experimental design considerations for integrating fNIRS and EEG
David Mehler (EBS 2.1)
Preregistration challenge accepted! A guide to reproducible and transparent fNIRS study design
Nottingham (EBS 2.66)
fNIRS with Python: hand on data analysis with MNE-NIRS
Cortivision (EBS 1.1)
Introductory to CortiPrism fNIRS signal processing software: from artifact correction to group-level analysis
Gowerlabs (EBS 2.1)
Next generation fNIRS with LUMO: unleashing the potential of high density and wide field of view
Antonia Hamilton (EBS 2.34)
Real world experimental designs for social fNIRS
NIRS fNIRS UK 2023 Symposium optical signal quality higher dynamic range locally optimized
Diagram showcasing one use case of the MLI feature. If a source has channels at short distances (e.g. <20 mm short separation channels) and at long distances (e.g. usual >30 mm channels), detectors that are too close to a light source might be “blinded” by the amount of light needed to reach the longer channels. By splitting the source illumination sequence into two parts with different light levels, it is possible to first: (A) use lower-powered light to optimally reach detectors at shorter distances; and then (B) use higher-powered light to optimally reach detectors at longer distances.
fNIRS UK 2023 Symposium Neuroscience
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Neuroscience 2023 fNIRS UK 2023 Symposium
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NIRS fNIRS UK 2023 Symposium NIRSport2 Neuroscience 2023
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NIRS fNIRS UK 2023 Symposium Multimodal NIRS EEG Neuroscience 2023
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fNIRS UK 2023 Symposium NIRx
NIRx (EBS 2.65)
Introductory fNIRS data analysis with the Satori software - from setup to presentation of findings
fNIRS UK 2023 Symposium Biopac
Biopac (EBS 1.1)
Combination of systemic physiology augmented
fNIRS (SPA-fNIRS) combined with virtual reality (VR)
fNIRS UK 2023 Symposium Cortivision
Cortivision (EBS 1.1)
Introductory to CortiPrism fNIRS signal processing software: from artifact correction to group-level analysis
fNIRS UK 2023 Symposium Gowerlabs
Gowerlabs (EBS 2.1)
Next generation fNIRS with LUMO: unleashing the potential of high density and wide field of view
fNIRS UK 2023 Symposium Artinis
Artinis (EBS 2.65)
Technical and experimental design considerations for integrating fNIRS and EEG
NIRS fNIRS UK 2023 Symposium NIRSport2 Satori Neuroscience 2023
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Neuroscience NIRS
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NIRS fNIRS - New Aurora with advanced multiplexing for high-density fNIRS
What is High-Density fNIRS and Diffuse-Optical Tomography, and why should we care?
"What are the trade-offs to achieve high-density measurements?"
The new Aurora: Multi-Level Illumination and Extended Frequency Encoding
NIRS fNIRS UK 2023 Symposium optical signal quality higher dynamic range locally optimized
Extended Frequency Encoding increases the number of simultaneously used frequencies for signal (de)modulation from two to eight.
What does this mean? More sources close by one another can be turned on at the same time without affecting signal quality by creating crosstalk. This saves precious time switching steps and therefore doubles the available sample rate.
Smart Optimization feature: Both MLI and EFE do not have to be configured by the user.
If enabled, our new Smart Optimization feature automatically figures out the best signal quality and sample rate that can be achieved with your montage.
In summary: Your NIRSport2 gets an upgrade for high-density and higher sample rates, both without making any compromises on the outstanding signal quality that the system is known for. We further empower you to perform DOT fNIRS-based tomographic image reconstruction within our NIRSport2 platform.
Now, you can check the LSL stream in real-time providing you with instant feedback and ensuring seamless data acquisition. Additionally, we've introduced a zooming feature during signal optimization, for a convenient HD cap setup.
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* The content published here is the exclusive responsibility of the authors.
Autor:
Jackson Cionek
