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

Nguyen, Trinh; Hoehl, Stefanie; Vrtička, Pascal

doi:10.3390/s21124075

Cited by 42 publications

(39 citation statements)

References 52 publications

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“…Motion-corrected time series were further visually inspected during a quality check procedure. We checked frequency-time plots of time-series for integrity, a clearly visible heart band, and visually observable motion artifacts ( Nguyen, Hoehl et al, 2021 ) resulting in the removal of 22.87% of channels of infants and caregivers. Then slow drifts and physiological noise were removed from the signals using a band-pass second-order Butterworth filter with cutoffs of 0.01 and 0.5 Hz and a slope of 12 dB per octave.…”

Section: Methodsmentioning

confidence: 99%

“…We will compare REC between observed neurophysiological coupling and random pairings of neural and physiological time series of participants to assess the degree of neurophysiological coupling. By establishing a baseline of coupling through surrogate analysis (e.g., Abney et al, 2015 ; Nguyen, Abney, et al, 2021 ; Nguyen, Hoehl, et al, 2021 ), we can compare properties of the observed PFC-RSA coupling against what might be expected by chance / spurious correlation. For the surrogate test, we will create surrogate data series combinations by randomly pairing the neural time series of each participant with the RSA time series of other participants.…”

Section: Methodsmentioning

confidence: 99%

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Coupling between prefrontal brain activity and respiratory sinus arrhythmia in infants and adults

Nguyen

Hoehl

Bertenthal

et al. 2022

Developmental Cognitive Neuroscience

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Self-regulation is an essential aspect of healthy child development. Even though infants are dependent on their caregivers for co-regulation during the first years, they begin to gain early regulatory abilities through social interactions as well as their own cognitive development. These early regulatory abilities continue to increase with the maturation of both the prefrontal cortex and the vagal system. Importantly, theoretical accounts have suggested that the prefrontal cortex and the vagal system are linked through forward and backward feedback loops via the limbic system. Decreased coupling within this link is suggested to be associated with psychopathology. The primary goal of this study is to examine whether intrapersonal coupling of prefrontal brain activity and respiratory sinus arrythmia is evident in infancy. Using the simultaneous assessment of functional near-infrared spectroscopy and electrocardiography, we will use Cross-Recurrence Quantification Analysis to assess the coupling of prefrontal brain activity and respiratory sinus arrhythmia in 69 4–6-month-old infants and their mothers during rest. Understanding the developmental emergence of the neurobiological correlates of self- regulation will allow us to help identify neurodevelopmental risk factors.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Coupling between prefrontal brain activity and respiratory sinus arrhythmia in infants and adults

Nguyen

Hoehl

Bertenthal

et al. 2022

Developmental Cognitive Neuroscience

Self Cite

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show abstract

“…Parent–child EEG and fNIRS are different hyperscanning approaches but supplement each other nicely (McDonald & Perdue, 2018). Parent–child fNIRS hyperscanning is an upcoming technique in the field of developmental neuroscience (for a practical implementation, see Nguyen, Hoehl, et al., 2021). fNIRS‐based brain‐to‐brain synchrony can be measured as aligned decreases and increases of hemodynamic processes in the same brain area at roughly the same time.…”

Section: Dual‐eeg: Defining the Conceptmentioning

confidence: 99%

In sync with your child: The potential of parent–child electroencephalography in developmental research

Turk

Vroomen

Fonken

et al. 2022

Developmental Psychobiology

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Healthy interaction between parent and child is foundational for the child's socioemotional development. Recently, an innovative paradigm shift in electroencephalography (EEG) research has enabled the simultaneous measurement of neural activity in caregiver and child. This dual-EEG or hyperscanning approach, termed parent-child dual-EEG, combines the strength of both behavioral observations and EEG methods.In this review, we aim to inform on the potential of dual-EEG in parents and children (0-6 years) for developmental researchers. We first provide a general overview of the dual-EEG technique and continue by reviewing the first empirical work on the emerging field of parent-child dual-EEG, discussing the limited but fascinating findings on parent-child brain-to-behavior and brain-to-brain synchrony. We then continue by providing an overview of dual-EEG analysis techniques, including the technical challenges and solutions one may encounter. We finish by discussing the potential of parent-child dual-EEG for the future of developmental research. The analysis of multiple EEG data is technical and challenging, but when performed well, parent-child EEG may transform the way we understand how caregiver and child connect on a neurobiological level. Importantly, studying objective physiological measures of parent-child interactions could lead to the identification of novel brain-to-brain synchrony markers of interaction quality.

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“…In developmental research, hyperscanning comprises the simultaneous measurement of brain activity in parent/adult and child using different neuroimaging methods, including dual-EEG ( Atzaba-Poria et al, 2017 ; Leong et al, 2017 ; Krzeczkowski et al, 2020 ; Endevelt-Shapira et al, 2021 ; preprint Wass et al, 2018 ; Leong et al, 2019 ; Perone et al, 2020 ; Santamaria et al, 2020 ), dual-fNIRS ( Reindl et al, 2018 ; Azhari et al, 2019 ; Miller et al, 2019 ; Nguyen et al, 2020 , a , b , c ; Piazza et al, 2020 ; Quinones-Camacho et al, 2020 ; Wang et al, 2020 ) and dual-MEG ( Hirata et al, 2014 ; Hasegawa et al, 2016 ) or sequential-MEG ( Levy et al, 2017 , 2021 ). While all these studies clearly demonstrate that social interactions are marked by the coordination of two brains, so called brain-to-brain synchrony , the empirical methods used in these studies show great variability ( Czeszumski et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Brains in Sync: Practical Guideline for Parent–Infant EEG During Natural Interaction

et al. 2022

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Parent–infant EEG is a novel hyperscanning paradigm to measure social interaction simultaneously in the brains of parents and infants. The number of studies using parent–infant dual-EEG as a theoretical framework to measure brain-to-brain synchrony during interaction is rapidly growing, while the methodology for measuring synchrony is not yet uniform. While adult dual-EEG methodology is quickly improving, open databases, tutorials, and methodological validations for dual-EEG with infants are largely missing. In this practical guide, we provide a step-by-step manual on how to implement and run parent–infant EEG paradigms in a neurodevelopmental laboratory in naturalistic settings (e.g., free interactions). Next, we highlight insights on the variety of choices that can be made during (pre)processing dual-EEG data, including recommendations on interpersonal neural coupling metrics and interpretations of the results. Moreover, we provide an exemplar dataset of two mother–infant dyads during free interactions (“free play”) that may serve as practice material. Instead of providing a critical note, we would like to move the field of parent–infant EEG forward and be transparent about the challenges that come along with the exciting opportunity to study the development of our social brain within the naturalistic context of dual-EEG.

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

Cited by 42 publications

References 52 publications

Coupling between prefrontal brain activity and respiratory sinus arrhythmia in infants and adults

Coupling between prefrontal brain activity and respiratory sinus arrhythmia in infants and adults

In sync with your child: The potential of parent–child electroencephalography in developmental research

Brains in Sync: Practical Guideline for Parent–Infant EEG During Natural Interaction

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