Dynamic modulation of frontal theta power predicts cognitive ability in infancy

Braithwaite, E.; Jones, Emily J. H.; Johnson, Mark H.; Holmboe, Karla

doi:10.1016/j.dcn.2020.100818

Cited by 31 publications

(40 citation statements)

References 51 publications

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“…Specifically, we focused on EEG theta power. Infant theta oscillations have been associated with infant attention in a number of studies [ 66 , 69 , 70 , 71 , 72 ], and maternal ADHD symptoms are related to higher mean infant theta power [ 73 ]. In this study we investigated both mean frontal theta and dynamic changes in frontal theta.…”

Section: Introductionmentioning

confidence: 99%

Behavioural Measures of Infant Activity but Not Attention Associate with Later Preschool ADHD Traits

et al. 2021

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Mapping infant neurocognitive differences that precede later ADHD-related behaviours is critical for designing early interventions. In this study, we investigated (1) group differences in a battery of measures assessing aspects of attention and activity level in infants with and without a family history of ADHD or related conditions (ASD), and (2) longitudinal associations between the infant measures and preschool ADHD traits at 3 years. Participants (N = 151) were infants with or without an elevated likelihood for ADHD (due to a family history of ADHD and/or ASD). A multi-method assessment protocol was used to assess infant attention and activity level at 10 months of age that included behavioural, cognitive, physiological and neural measures. Preschool ADHD traits were measured at 3 years of age using the Child Behaviour Checklist (CBCL) and the Child Behaviour Questionnaire (CBQ). Across a broad range of measures, we found no significant group differences in attention or activity level at 10 months between infants with and without a family history of ADHD or ASD. However, parent and observer ratings of infant activity level at 10 months were positively associated with later preschool ADHD traits at 3 years. Observable behavioural differences in activity level (but not attention) may be apparent from infancy in children who later develop elevated preschool ADHD traits.

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Section: Introductionmentioning

confidence: 99%

Behavioural Measures of Infant Activity but Not Attention Associate with Later Preschool ADHD Traits

et al. 2021

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“…It is unclear whether midfrontal theta power supports conflict monitoring in children the way that it does later in development. However, it relates to cognitive performance more generally (in contexts other than the flanker task) from infancy on (e.g., Braithwaite et al, 2020;Canen & Brooker, 2017;Uhlhaas et al, 2009). As functional connectivity both between the cingulo-opercular (including ACC) and frontoparietal (including lateral PFC) networks, and within each network, increases during childhood and adolescence (Baum et al, 2017;Fair et al, 2008;Luna et al, 2015), it is possible that more mature patterns of theta oscillations support growing efficiency in conflict monitoring and better signal the need for more control over sensory information processing.…”

Section: Introductionmentioning

confidence: 99%

Midfrontal theta oscillations and conflict monitoring in children and adults

Chevalier

Hadley

Balthrop

2021

Developmental Psychobiology

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Conflict monitoring is central in cognitive control, as detection of conflict serves as a signal for the need to engage control. This study examined whether (1) midfrontal theta oscillations similarly support conflict monitoring in children and adults, and (2) performance monitoring difficulty influences conflict monitoring and resolution. Children (n = 25) and adults (n = 24) completed a flanker task with fair or rigged response feedback. Relative to adults, children showed a smaller congruency effect on midfrontal theta power, overall lower midfrontal theta power and coherence, and (unlike adults) no correlation between midfrontal theta power and N2 amplitude, suggesting that reduced neural communication efficiency contributes to less efficient conflict monitoring in children than adults. In both age groups, response feedback fairness affected response times and the P3, but neither midfrontal theta oscillations nor the N2, indicating that performance monitoring difficulty influenced conflict resolution but not conflict monitoring.

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“…Jones et al (2020) reported that EEG theta change in infancy during the presentation of dynamic movies of people and objects is a predictive biomarker for later cognitive deficits, particularly in high-risk populations. Braithwaite et al (2020) also found increases in the theta wave recorded at 6month-old infants at low-risk while presenting the non-social video. These changes in theta significantly predicted non-verbal cognitive ability measured at age 9-months.…”

Section: Discussionmentioning

confidence: 65%

Cognitive Outcome Prediction in Infants With Neonatal Hypoxic-Ischemic Encephalopathy Based on Functional Connectivity and Complexity of the Electroencephalography Signal

Alotaibi

Bakheet

Konn

et al. 2022

Front. Hum. Neurosci.

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Impaired neurodevelopmental outcome, in particular cognitive impairment, after neonatal hypoxic-ischemic encephalopathy is a major concern for parents, clinicians, and society. This study aims to investigate the potential benefits of using advanced quantitative electroencephalography analysis (qEEG) for early prediction of cognitive outcomes, assessed here at 2 years of age. EEG data were recorded within the first week after birth from a cohort of twenty infants with neonatal hypoxic-ischemic encephalopathy (HIE). A proposed regression framework was based on two different sets of features, namely graph-theoretical features derived from the weighted phase-lag index (WPLI) and entropies metrics represented by sample entropy (SampEn), permutation entropy (PEn), and spectral entropy (SpEn). Both sets of features were calculated within the noise-assisted multivariate empirical mode decomposition (NA-MEMD) domain. Correlation analysis showed a significant association in the delta band between the proposed features, graph attributes (radius, transitivity, global efficiency, and characteristic path length) and entropy features (Pen and SpEn) from the neonatal EEG data and the cognitive development at age two years. These features were used to train and test the tree ensemble (boosted and bagged) regression models. The highest prediction performance was reached to 14.27 root mean square error (RMSE), 12.07 mean absolute error (MAE), and 0.45 R-squared using the entropy features with a boosted tree regression model. Thus, the results demonstrate that the proposed qEEG features show the state of brain function at an early stage; hence, they could serve as predictive biomarkers of later cognitive impairment, which could facilitate identifying those who might benefit from early targeted intervention.

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Dynamic modulation of frontal theta power predicts cognitive ability in infancy

Cited by 31 publications

References 51 publications

Behavioural Measures of Infant Activity but Not Attention Associate with Later Preschool ADHD Traits

Behavioural Measures of Infant Activity but Not Attention Associate with Later Preschool ADHD Traits

Midfrontal theta oscillations and conflict monitoring in children and adults

Cognitive Outcome Prediction in Infants With Neonatal Hypoxic-Ischemic Encephalopathy Based on Functional Connectivity and Complexity of the Electroencephalography Signal

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