Functional imaging of the developing brain with wearable high-density diffuse optical tomography: A new benchmark for infant neuroimaging outside the scanner environment

Frijia, Elisabetta Maria; Billing, Addison; Lloyd‐Fox, Sarah; Vidal-Rosas, Ernesto E.; Collins-Jones, Liam; Crespo-Llado, Maria Magdalena; Amadó, Marta Perapoch; Austin, Topun; Edwards, Andrea; Dunne, Luke; Ge, Smith; Nixon-Hill, Reuben; Powell, Samuel; Everdell, Nick; Cooper, Robert J.

doi:10.1016/j.neuroimage.2020.117490

Cited by 66 publications

(51 citation statements)

References 53 publications

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“…Recently, photogrammetry methods that provide faster and easier optode registration procedures demonstrated their validity and reliability for probe position estimation. 77 , 78 A wider adoption of these methods by the community could help increase within and between-subject reproducibility of fNIRS measurements on developmental populations. The spatial accuracy of our findings might have also been reduced by the use of 6-month-old head templates as opposed to age-matched templates.…”

Section: Discussionmentioning

confidence: 99%

Group-level cortical functional connectivity patterns using fNIRS: assessing the effect of bilingualism in young infants

et al. 2021

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. Significance: Early monolingual versus bilingual experience induces adaptations in the development of linguistic and cognitive processes, and it modulates functional activation patterns during the first months of life. Resting-state functional connectivity (RSFC) is a convenient approach to study the functional organization of the infant brain. RSFC can be measured in infants during natural sleep, and it allows to simultaneously investigate various functional systems. Adaptations have been observed in RSFC due to a lifelong bilingual experience. Investigating whether bilingualism-induced adaptations in RSFC begin to emerge early in development has important implications for our understanding of how the infant brain’s organization can be shaped by early environmental factors. Aims: We attempt to describe RSFC using functional near-infrared spectroscopy (fNIRS) and to examine whether it adapts to early monolingual versus bilingual environments. We also present an fNIRS data preprocessing and analysis pipeline that can be used to reliably characterize RSFC in development and to reduce false positives and flawed results interpretations. Methods: We measured spontaneous hemodynamic brain activity in a large cohort ( ) of 4-month-old monolingual and bilingual infants using fNIRS. We implemented group-level approaches based on independent component analysis to examine RSFC, while providing proper control for physiological confounds and multiple comparisons. Results: At the group level, we describe the functional organization of the 4-month-old infant brain in large-scale cortical networks. Unbiased group-level comparisons revealed no differences in RSFC between monolingual and bilingual infants at this age. Conclusions: High-quality fNIRS data provide a means to reliably describe RSFC patterns in the infant brain. The proposed group-level RSFC analyses allow to assess differences in RSFC across experimental conditions. An effect of early bilingual experience in RSFC was not observed, suggesting that adaptations might only emerge during explicit linguistic tasks, or at a later point in development.

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Section: Discussionmentioning

confidence: 99%

Group-level cortical functional connectivity patterns using fNIRS: assessing the effect of bilingualism in young infants

et al. 2021

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“…Participants were assessed using an auditory-visual social perception paradigm first described by Lloyd-Fox et al. (2014a ) and subsequently used in a number of other studies of infant brain function ( Frijia et al., 2020 ; Lloyd-Fox et al., 2017 , 2013 , 2012 , 2018 ; Perdue et al., 2019 ).…”

Section: Methodsmentioning

confidence: 99%

“…Equivalent response and baseline vectors were compared using a two-tailed two-sample t-test. To correct for multiple comparisons, the Bonferroni method was employed on the basis of the number of nodes in the grey matter surface mesh, as was performed in ( Frijia et al., 2020 ).…”

Section: Methodsmentioning

confidence: 99%

Longitudinal infant fNIRS channel-space analyses are robust to variability parameters at the group-level: An image reconstruction investigation

Collins-Jones¹,

Cooper

Bulgarelli

et al. 2021

NeuroImage

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Highlights First investigation of validity of longitudinal infant channel-space fNIRS analysis. Novel image reconstruction analysis conducted. Variability in array position is dominant factor driving different inferences. Channel-space fNIRS analyses robust to implicit assumptions at group-level. Hope to encourage more widespread use of image reconstruction in infant analyses.

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“…A potential remedy for this issue could be the concurrent assessment of autonomic nervous system and/or physiological responses in the periphery, but also using additional short channel measurements. Although these additional measurements can make hyperscanning with children even more challenging, advancements in wearable diffuse optical tomography might provide a feasible future solution [52].…”

Section: Limitationsmentioning

confidence: 99%

A Guide to Parent-Child fNIRS Hyperscanning Data Processing and Analysis

Nguyen

Hoehl

Vrtička

2021

Sensors

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The use of functional near-infrared spectroscopy (fNIRS) hyperscanning during naturalistic interactions in parent–child dyads has substantially advanced our understanding of the neurobiological underpinnings of human social interaction. However, despite the rise of developmental hyperscanning studies over the last years, analysis procedures have not yet been standardized and are often individually developed by each research team. This article offers a guide on parent–child fNIRS hyperscanning data analysis in MATLAB and R. We provide an example dataset of 20 dyads assessed during a cooperative versus individual problem-solving task, with brain signal acquired using 16 channels located over bilateral frontal and temporo-parietal areas. We use MATLAB toolboxes Homer2 and SPM for fNIRS to preprocess the acquired brain signal data and suggest a standardized procedure. Next, we calculate interpersonal neural synchrony between dyads using Wavelet Transform Coherence (WTC) and illustrate how to run a random pair analysis to control for spurious correlations in the signal. We then use RStudio to estimate Generalized Linear Mixed Models (GLMM) to account for the bounded distribution of coherence values for interpersonal neural synchrony analyses. With this guide, we hope to offer advice for future parent–child fNIRS hyperscanning investigations and to enhance replicability within the field.

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Functional imaging of the developing brain with wearable high-density diffuse optical tomography: A new benchmark for infant neuroimaging outside the scanner environment

Cited by 66 publications

References 53 publications

Group-level cortical functional connectivity patterns using fNIRS: assessing the effect of bilingualism in young infants

Group-level cortical functional connectivity patterns using fNIRS: assessing the effect of bilingualism in young infants

Longitudinal infant fNIRS channel-space analyses are robust to variability parameters at the group-level: An image reconstruction investigation

A Guide to Parent-Child fNIRS Hyperscanning Data Processing and Analysis

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