Ecological fNIRS in mobile children: Using short separation channels to correct for systemic contamination during naturalistic neuroimaging. DOI Open Access
Paola Pinti, Larisa-Maria Dina, Richard Smith

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 3, 2024

Abstract Significance The advances and the miniaturization in functional Near Infrared Spectroscopy (fNIRS) instrumentation offers potential to move classical laboratory-based cognitive neuroscience investigations into more naturalistic settings. Wearable mobile fNIRS devices also provide a novel child-friendly means image brain activity freely moving toddlers preschoolers. Measuring ecologically valid settings with presents additional challenges, such as increased impact of physiological interferences. One most popular methods minimize interferences is regress out short separation channels from long (i.e., superficial signal regression or SSR). Whilst this has been extensively investigated adults, little known about systemic changes on signals recorded children either experiments. Aim We aim investigate if extracerebral occur preschoolers, whether SSR can help these Approach collected data 3-to-7 years olds during conventional computerized static task dynamic an immersive virtual reality (VR) continuous automatic environment (CAVE). Results Our results show that contamination present both young adults. Importantly, we find helps improving localization activity, and, larger extent, VR task. Conclusions Following results, formulate suggestions advance field developmental neuroimaging fNIRS, particularly ecological

Language: Английский

Ecological functional near-infrared spectroscopy in mobile children: using short separation channels to correct for systemic contamination during naturalistic neuroimaging DOI Creative Commons
Paola Pinti,

Larisa M. Dina,

Tim J. Smith

et al.

Neurophotonics, Journal Year: 2024, Volume and Issue: 11(04)

Published: Oct. 8, 2024

The advances and miniaturization in functional near-infrared spectroscopy (fNIRS) instrumentation offer the potential to move classical laboratory-based cognitive neuroscience investigations into more naturalistic settings. Wearable mobile fNIRS devices also provide a novel child-friendly means image brain activity freely moving toddlers preschoolers. Measuring ecologically valid settings with presents additional challenges, such as increased impact of physiological interferences. One most popular methods for minimizing interferences is regress out short separation channels from long [i.e., superficial signal regression (SSR)]. Although this has been extensively investigated adults, little known about systemic changes on signals recorded children either or experiments.

Language: Английский

Citations

1

Fundamental effects of array density and modulation frequency on image quality of diffuse optical tomography DOI Creative Commons

Weihao Fan,

Jason W. Trobaugh, Chengfeng Zhang

et al.

Medical Physics, Journal Year: 2024, Volume and Issue: 52(2), P. 1045 - 1057

Published: Nov. 4, 2024

Diffuse optical tomography (DOT) provides three-dimensional image reconstruction of chromophore perturbations within a turbid volume. Two leading strategies to optimize DOT quality include, (i) arrays regular, interlacing, high-density (HD) grids sources and detectors with closest spacing less than 15 mm, or (ii) source modulated light order ∼100 MHz. However, the general principles for how these crucial design parameters array density modulation frequency may interact provide an optimal system have yet be elucidated. Herein, we systematically evaluated effect via multiple key metrics. Specifically, simulated 32 designs realistic measurement noise quantified localization error, spatial resolution, signal-to-noise, depth field each ∼85 000 point spread functions in model. We found that had far stronger on metrics frequency. Additionally, model fits revealed potential improvements diminish regular denser 9 mm spacing. Further, given density, 300 MHz provided deepest reliable imaging compared other frequencies. Our results indicate both affect sampling tissue, which asymptotically saturates due photon diffusivity In summary, our comprehensive perspectives optimizing future applications from wearable functional brain breast tumor detection.

Language: Английский

Citations

1

Non-invasive optical imaging of brain function with fNIRS: Current status and way forward DOI
Paola Pinti, Ilias Tachtsidis, Paul W. Burgess

et al.

Elsevier eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 96 - 120

Published: Sept. 16, 2023

Language: Английский

Citations

3

Interpersonal Neural Synchrony and Mental Disorders: Unlocking Potential Pathways for Clinical Interventions DOI Open Access
Kerstin Konrad, Christian Gerloff, Simon H. Kohl

et al.

Published: Sept. 10, 2023

The current review provides an overview of various techniques for manipulating interpersonal neural synchrony. It presents a 'second-person' neuroscience approach as potential clinical tool treating certain mental disorders characterized by social interaction challenges, including Autism Spectrum Disorder, Attachment and Social Anxiety Disorder.

Language: Английский

Citations

2

Ecological fNIRS in mobile children: Using short separation channels to correct for systemic contamination during naturalistic neuroimaging. DOI Open Access
Paola Pinti, Larisa-Maria Dina, Richard Smith

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 3, 2024

Abstract Significance The advances and the miniaturization in functional Near Infrared Spectroscopy (fNIRS) instrumentation offers potential to move classical laboratory-based cognitive neuroscience investigations into more naturalistic settings. Wearable mobile fNIRS devices also provide a novel child-friendly means image brain activity freely moving toddlers preschoolers. Measuring ecologically valid settings with presents additional challenges, such as increased impact of physiological interferences. One most popular methods minimize interferences is regress out short separation channels from long (i.e., superficial signal regression or SSR). Whilst this has been extensively investigated adults, little known about systemic changes on signals recorded children either experiments. Aim We aim investigate if extracerebral occur preschoolers, whether SSR can help these Approach collected data 3-to-7 years olds during conventional computerized static task dynamic an immersive virtual reality (VR) continuous automatic environment (CAVE). Results Our results show that contamination present both young adults. Importantly, we find helps improving localization activity, and, larger extent, VR task. Conclusions Following results, formulate suggestions advance field developmental neuroimaging fNIRS, particularly ecological

Language: Английский

Citations

0