Functional imaging of the developing brain with wearable high-density diffuse optical tomography: a new benchmark for infant neuroimaging outside the scanner environment
Functional imaging of the developing brain with wearable high-density diffuse optical tomography: a new benchmark for infant neuroimaging outside the scanner environment
Studies of cortical function in the awake infant are extremely challenging to undertake with traditional neuroimaging approaches. Partly in response to this challenge, functional near-infrared spectroscopy (fNIRS) has become increasingly common in developmental neuroscience, but has significant limitations including resolution, spatial specificity and ergonomics. In adults, high-density arrays of near-infrared sources and detectors have recently been shown to yield dramatic improvements in spatial resolution and specificity when compared to typical fNIRS approaches. However, most existing fNIRS devices only permit the acquisition of ~20–100 sparsely distributed fNIRS channels, and increasing the number of optodes presents significant mechanical challenges, particularly for infant applications. A new generation of wearable, modular, high-density diffuse optical tomography (HD-DOT) technologies has recently emerged that overcomes many of the limitations of traditional, fibre-based and low-density fNIRS measurements. Driven by the development of this new technology, we have undertaken the first study of the infant brain using wearable HD-DOT. Using a well-established social stimulus paradigm, and combining this new imaging technology with advances in cap design and spatial registration, we show that it is now possible to obtain high-quality, functional images of the infant brain with minimal constraints on either the environment or on the infant participants. Our results are consistent with prior low-density fNIRS measures based on similar paradigms, but demonstrate superior spatial localization, improved depth specificity, higher SNR and a dramatic improvement in the consistency of the responses across participants. Our data retention rates also demonstrate that this new generation of wearable technology is well tolerated by the infant population.
Functional Near-Infrared Spectroscopy, High-Density Diffuse Optical Tomography, Infant Cognitive Development, Infant Neuroimaging, Optical Neuroimaging
Frijia, Elisabetta Maria
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Billing, Addison
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Lloyd-Fox, Sarah
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Vidal Rosas, Ernesto
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Collins-Jones, Liam
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Crespo-Llado, Maria Magdalena
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Amadó, Marta Perapoch
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Austin, Topun
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Edwards, Andrea
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Dunne, Luke
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Smith, Greg
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Nixon-Hill, Reuben
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Powell, Samuel
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Everdell, Nicholas L.
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Cooper, Robert J.
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15 December 2020
Frijia, Elisabetta Maria
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Billing, Addison
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Lloyd-Fox, Sarah
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Vidal Rosas, Ernesto
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Collins-Jones, Liam
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Crespo-Llado, Maria Magdalena
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Amadó, Marta Perapoch
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Austin, Topun
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Edwards, Andrea
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Dunne, Luke
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Smith, Greg
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Nixon-Hill, Reuben
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Powell, Samuel
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Everdell, Nicholas L.
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Cooper, Robert J.
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Frijia, Elisabetta Maria, Billing, Addison, Lloyd-Fox, Sarah, Vidal Rosas, Ernesto, Collins-Jones, Liam, Crespo-Llado, Maria Magdalena, Amadó, Marta Perapoch, Austin, Topun, Edwards, Andrea, Dunne, Luke, Smith, Greg, Nixon-Hill, Reuben, Powell, Samuel, Everdell, Nicholas L. and Cooper, Robert J.
(2020)
Functional imaging of the developing brain with wearable high-density diffuse optical tomography: a new benchmark for infant neuroimaging outside the scanner environment.
NeuroImage, 225, [117490].
(doi:10.1016/j.neuroimage.2020.117490).
Abstract
Studies of cortical function in the awake infant are extremely challenging to undertake with traditional neuroimaging approaches. Partly in response to this challenge, functional near-infrared spectroscopy (fNIRS) has become increasingly common in developmental neuroscience, but has significant limitations including resolution, spatial specificity and ergonomics. In adults, high-density arrays of near-infrared sources and detectors have recently been shown to yield dramatic improvements in spatial resolution and specificity when compared to typical fNIRS approaches. However, most existing fNIRS devices only permit the acquisition of ~20–100 sparsely distributed fNIRS channels, and increasing the number of optodes presents significant mechanical challenges, particularly for infant applications. A new generation of wearable, modular, high-density diffuse optical tomography (HD-DOT) technologies has recently emerged that overcomes many of the limitations of traditional, fibre-based and low-density fNIRS measurements. Driven by the development of this new technology, we have undertaken the first study of the infant brain using wearable HD-DOT. Using a well-established social stimulus paradigm, and combining this new imaging technology with advances in cap design and spatial registration, we show that it is now possible to obtain high-quality, functional images of the infant brain with minimal constraints on either the environment or on the infant participants. Our results are consistent with prior low-density fNIRS measures based on similar paradigms, but demonstrate superior spatial localization, improved depth specificity, higher SNR and a dramatic improvement in the consistency of the responses across participants. Our data retention rates also demonstrate that this new generation of wearable technology is well tolerated by the infant population.
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Accepted/In Press date: 18 October 2020
e-pub ahead of print date: 24 October 2020
Published date: 15 December 2020
Additional Information:
Publisher Copyright:
© 2020
Keywords:
Functional Near-Infrared Spectroscopy, High-Density Diffuse Optical Tomography, Infant Cognitive Development, Infant Neuroimaging, Optical Neuroimaging
Identifiers
Local EPrints ID: 489090
URI: http://eprints.soton.ac.uk/id/eprint/489090
ISSN: 1053-8119
PURE UUID: 1d0b7ead-5651-4de2-ac5a-05b62563eb5b
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Date deposited: 15 Apr 2024 16:30
Last modified: 16 Apr 2024 02:07
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Contributors
Author:
Elisabetta Maria Frijia
Author:
Addison Billing
Author:
Sarah Lloyd-Fox
Author:
Ernesto Vidal Rosas
Author:
Liam Collins-Jones
Author:
Maria Magdalena Crespo-Llado
Author:
Marta Perapoch Amadó
Author:
Topun Austin
Author:
Andrea Edwards
Author:
Luke Dunne
Author:
Greg Smith
Author:
Reuben Nixon-Hill
Author:
Samuel Powell
Author:
Nicholas L. Everdell
Author:
Robert J. Cooper
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