The automated preprocessing pipe-line for the estimation of scale-wise entropy from EEG data (APPLESEED): Development and validation for use in pediatric populations

Puglia, Meghan H.; Slobin, Jacqueline; Williams, Cabell L.

doi:10.1016/j.dcn.2022.101163

Cited by 7 publications

(8 citation statements)

References 56 publications

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“…EEG was amplified with a BrainAmp DC Amplifier and digitized using BrainVision Recorder software with a sampling rate of 5000 Hz, online referenced to FCz, and online band-pass filtered between 0.1 and 1000 Hz. Data preprocessing and entropy calculation were accomplished using the Automated Preprocessing Pipe-Line for the Estimation of Scale-wise Entropy from EEG Data (APPLESEED, Puglia et al, 2022) implemented with EEGLab v2022.1 (Delorme & Makeig, 2004) in MATLAB v2020a (Mathworks, Natick, MA).…”

Section: Methodsmentioning

confidence: 99%

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Infant neural sensitivity to affective touch is associated with maternal postpartum depression

Nance,

Landsman,

Gerling

et al. 2024

Preprint

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1.AbstractClassic attachment theory emphasizes the sensitivity of the parent to perceive and appropriately respond to the infant’s cues. However, parent-child attachment is a dyadic interaction that is also dependent upon the sensitivity of the child to the early caregiving environment. Individual differences in infant sensitivity to parental cues is likely shaped by both the early caregiving environment as well as the infant’s neurobiology, such as perceptual sensitivity to social stimuli. Here, we investigated associations between maternal postpartum depression and infant neurological sensitivity to affective touch using brain signal entropy – a metric of the brain’s moment-to-moment variability related to signal processing. We recruited two independent samples of infants aged 0-5 months. In Sample 1 (n=67), we found increased levels of maternal postpartum depression were associated with diminished perceptual sensitivity – i.e. lower entropy – to affective tactile stimulation specifically within the primary somatosensory cortex. In Sample 2 (n=36), we replicated this finding and showed that this effect was not related to characteristics of the touch administered during the experiment. These results suggest that decreased affective touch early in life, a common consequence of postpartum depression, likely impacts the infant’s perceptual sensitivity to affective touch and ultimately the experience-dependent neural networks that support the successful formation of attachment relationships.

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Section: Methodsmentioning

confidence: 99%

“…To quantify multiscalar variability, entropy can be computed across multiple scales by coarse graining the time series (Costa et al, 2002). Here we use multiscale (scale-wise) entropy (Puglia et al, 2022) to assess how perceptual sensitivity to affective touch varies as a function of the early caregiving environment.…”

Section: Introductionmentioning

confidence: 99%

Infant neural sensitivity to affective touch is associated with maternal postpartum depression

Nance,

Landsman,

Gerling

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

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“…EEG was amplified with a BrainAmp DC Amplifier and recorded using BrainVision Recorder software with a sampling rate of 5000□Hz, online referenced to FCz, and online band-pass filtered between 0.01 and 1000□Hz. Data were preprocessed with an automated preprocessing pipeline for pediatric EEG data using EEGLab v2021.1 software with quality assurance via manual inspection: data were down-sampled to 500 Hz, band-pass filtered from 0.1-100 Hz, and segmented into 10s epochs (54,55). Epochs with a voltage exceeding ±□500□µV were rejected.…”

Section: Methodsmentioning

confidence: 99%

Preterm birth accelerates the maturation of spontaneous and resting activity in the visual cortex

Witteveen

McCoy

Holsworth

et al. 2023

Preprint

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Prematurity is among the leading risk factors for poor neurocognitive outcomes. Brains of preterm infants often show alterations in structure, connectivity, and electrical activity, but the underlying circuit mechanisms are unclear. Using electroencephalography (EEG) in preterm and term-born infants, we find that preterm birth accelerates the maturation of aperiodic EEG components including decreased spectral power in the theta and alpha bands and flattened 1/f slope. Using in vivo electrophysiology in preterm mice, we find that preterm birth mice also show a flattened 1/f slope. We further found that preterm birth in mice results in suppressed spontaneous firing of neurons in the primary visual cortex, and accelerated maturation of inhibitory circuits, as assessed through quantitative immunohistochemistry. In both mice and infants, preterm birth advanced the functional maturation of the cortex. Our studies identify specific effects of preterm birth on the spectral composition of the infant EEG, and point to a potential mechanism of these effects, highlighting the utility of our parallel approach in studying the neural circuit mechanisms of preterm birth-related brain injury.

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“…EEG can also serve as a conceptual bridge linking the results of non-invasive EEG studies and results obtained from invasive techniques that also measure the brain’s electric field, such as local field potential (LFP) recordings and electrocorticography (ECOG) ( Buzsáki et al, 2012 , Narayanan et al, 2013 ). More broadly, the fact that EEG is a direct measure of the brain’s electric field opens the door for countless other analytical approaches, including quantifying the ratio of excitatory and inhibitory activity ( Ostlund et al, 2022 ), localizing electrical generators (e.g., source localization approaches, Conte and Richards, 2022 , Xie et al, 2022 ), quantifying information content (e.g., Ashton et al, 2022 ; Ng et al, 2022 , Puglia et al, 2022 ), or performing model-based analyses to reveal dynamic statistical relations between brain and behavior (e.g., Jessen et al, 2021 ).…”

Section: Unique Benefits Of Eeg As a Developmental Neuroscience Toolmentioning

confidence: 99%

“…Importantly, these three novel pipelines are compared with existing pipelines (e.g., MADE), highlighting their added benefit. Finally, Puglia et al (2022) developed a standardized pipeline to preprocess and estimate reliable measures of signal variability (multiscale entropy; MSE) which are traditionally removed from EEG analyses as noise.…”

Section: Overview Of Articles In This Special Issuementioning

confidence: 99%

Maximizing the potential of EEG as a developmental neuroscience tool

Buzzell

Morales

Valadez

et al. 2023

Developmental Cognitive Neuroscience

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The automated preprocessing pipe-line for the estimation of scale-wise entropy from EEG data (APPLESEED): Development and validation for use in pediatric populations

Cited by 7 publications

References 56 publications

Infant neural sensitivity to affective touch is associated with maternal postpartum depression

Infant neural sensitivity to affective touch is associated with maternal postpartum depression

Preterm birth accelerates the maturation of spontaneous and resting activity in the visual cortex

Maximizing the potential of EEG as a developmental neuroscience tool

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