Developmental change in the resting state electroencephalogram: Insights into cognition and the brain

Anderson, Alana J.; Perone, Sammy

doi:10.1016/j.bandc.2018.08.001

Cited by 137 publications

(132 citation statements)

References 94 publications

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“…Nonetheless, reliance on different video content could be viewed as a limitation to be addressed in future research. Moreover, although commonly used with young children, videos represent a different condition for EEG recording than a resting state measured with older participants, although questions have been raised about the latter as well (e.g., eyes open vs. closed; for a discussion, see Anderson & Perone, ). Finally, future studies could consider recruitment‐related variability, as multiple sources are typically utilized, and we were not able to consider the impact of such differences in this study.…”

Section: Discussionmentioning

confidence: 99%

Modeling development of frontal electroencephalogram (EEG) asymmetry: Sex differences and links with temperament

Gartstein

Hancock²,

Potapova

et al. 2019

Developmental Science

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Asymmetric patterns of frontal brain electrical activity reflect approach and avoidance tendencies, with stability of relative right activation associated with withdrawal emotions/motivation and left hemisphere activation linked with approach and positive affect. However, considerable shifts in approach/avoidance-related lateralization have been reported for children not targeted because of extreme temperament.In this study, dynamic effects of frontal electroencephalogram (EEG) power within and across hemispheres were examined throughout early childhood. Specifically, EEG indicators at 5, 10, 24, 36, 48, and 72 months-of-age (n = 410) were analyzed via a hybrid of difference score and panel design models, with baseline measures and subsequent time-to-time differences modeled as potentially influencing all subsequent amounts of time-to-time change (i.e., predictively saturated). Infant sex was considered as a moderator of dynamic developmental effects, with temperament attributes measured at 5 months examined as predictors of EEG hemisphere development. Overall, change in left and right frontal EEG power predicted declining subsequent change in the same hemisphere, with effects on the opposing neurobehavioral system enhancing later growth. Infant sex moderated the pattern of within and across-hemisphere effects, wherein for girls more prominent left hemisphere influences on the right hemisphere EEG changes were noted and right hemisphere effects were more salient for boys. Largely similar patterns of temperament prediction were observed for the left and the right EEG power changes, with limited sex differences in links between temperament and growth parameters. Results were interpreted in the context of comparable analyses using parietal power values, which provided evidence for unique frontal effects. K E Y W O R D S developmental processes, EEG asymmetry, latent change scores, panel models, sex differences, temperament S U PP O RTI N G I N FO R M ATI O N Additional supporting information may be found online in the Supporting Information section at the end of the article. How to cite this article: Gartstein MA, Hancock GR, Potapova NV, Calkins SD, Bell MA. Modeling development of frontal electroencephalogram (EEG) asymmetry: Sex differences and links with temperament. Dev Sci.

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Section: Discussionmentioning

confidence: 99%

Modeling development of frontal electroencephalogram (EEG) asymmetry: Sex differences and links with temperament

Gartstein

Hancock²,

Potapova

et al. 2019

Developmental Science

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“…Baseline EEG is thought to provide a window into the organization of the brain at the level of the individual, thought to be trait-like in nature. Robust links between baseline activity and behavior in other contexts may be due to baseline providing a marker of the activity of networks that are actively engaged in task-specific contexts (e.g., Bonnard et al, 2016;Deco, Jirsa, & McIntosh, 2013;Elton & Gao, 2015; for discussion, see Anderson & Perone, 2018). Importantly, baseline EEG is not a "pure" measure of the organization of the brain.…”

Section: G Ener Al Discussionmentioning

confidence: 99%

“…For infants, theta is typically defined as 3–6 Hz and alpha as 6–9 Hz. Beta is perhaps the least studied cortical rhythm during infancy and the least consistently defined, but, in adults, it is generally defined as the frequencies between alpha and gamma (for a review, see Anderson & Perone, ). Gamma is consistently identified in the 30–50 Hz frequency range across the lifespan.…”

Section: Introductionmentioning

confidence: 99%

Mapping cortical rhythms to infant behavioral tendencies via baseline EEG and parent‐report

Perone

Gartstein

2019

Developmental Psychobiology

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An important goal of developmental science is to understand how the early organization of the brain and behavioral tendencies are interconnected. A foundational step in pursuit of this goal is to identify brain‐behavior relations. Much progress has been made identifying such relations during infancy by linking baseline electroencephalography (EEG) activity to infants’ performance in lab‐based measures of socio‐emotional and cognitive development. Parent‐report represents another resource in expanding our understanding to infants’ behavioral tendencies in their natural environment. The current study explored how parent‐report of 6‐ to 12‐month‐old (N = 53) infants’ attention and regulatory abilities relates to cortical activity. The results confirmed one key hypothesis that lower levels of theta and higher levels of beta and gamma over the frontal region would be related to infants’ attentional abilities. These results are consistent with the extant baseline EEG literature. Cuddliness was robustly related to higher levels of theta and lower levels of beta over the posterior, likely reflecting infants’ tendency to use another person to self‐regulate. Our results indicate links between these cortical rhythms and attention and regulatory processes have infant origins. Our results indicate furture research investigating brain‐behavior relations using parent‐report is warranted.

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“…In infants, resting-state recordings simulate periods of quiet wakefulness with minimal motor activity. Anderson & Perone, 2018.…”

Section: Reference Electrodementioning

confidence: 99%

14 challenges and their solutions for conducting social neuroscience and longitudinal EEG research with infants

Noreika¹,

Georgieva²,

Wass³

et al. 2019

Preprint

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The use of electroencephalography (EEG) to study infant brain development is a growing trend. In addition to classical longitudinal designs that study the development of the neural, cognitive and behavioural function, new areas of EEG application are emerging, such as novel social neuroscience paradigms using dual infant-adult EEG recordings. However, most of the experimental designs, analysis methods, as well as EEG hardware were originally developed for single-person adult research. When applied to the study of infant development, adult-based solutions often pose unique problems that may go unrecognised. Here, we identify 14 challenges that infant EEG researchers may encounter when designing new experiments, collecting data, and conducting data analysis. Challenges related to the experimental design are: (1) small sample size and data attrition, and (2) varying arousal in younger infants. Challenges related to data acquisition are: (3) determining the optimal location for reference and ground electrodes, (4) control of impedance when testing with the high-density sponge electrode nets, (5) poor fit of standard EEG caps to the varying infant head shapes, and (6) ensuring a high degree of temporal synchronisation between amplifiers and recording devices during dual-EEG acquisition. Challenges related to the analysis of longitudinal and social neuroscience datasets are: (7) developmental changes in head anatomy, (8) prevalence and diversity of infant myogenic artefacts, (9) a lack of stereotypical topography of eye movements needed for the ICA-based data cleaning, (10) and relatively high inter-individual variability of EEG responses in younger cohorts. Additional challenges for the analysis of dual EEG data are: (11) developmental shifts in canonical EEG rhythms and difficulties in differentiating true inter-personal synchrony from spurious synchrony due to (12) common intrinsic properties of the signal and (13) shared external perturbation. Finally, (14) there is a lack of test-retest reliability studies of infant EEG. We describe each of these challenges and suggest possible solutions. While we focus specifically on the social neuroscience and longitudinal research, many of the issues we raise are relevant for all fields of infant EEG research.

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Developmental change in the resting state electroencephalogram: Insights into cognition and the brain

Cited by 137 publications

References 94 publications

Modeling development of frontal electroencephalogram (EEG) asymmetry: Sex differences and links with temperament

Modeling development of frontal electroencephalogram (EEG) asymmetry: Sex differences and links with temperament

Mapping cortical rhythms to infant behavioral tendencies via baseline EEG and parent‐report

14 challenges and their solutions for conducting social neuroscience and longitudinal EEG research with infants

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