Literature DB >> 31830682

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

Valdas Noreika1, Stanimira Georgieva2, Sam Wass3, Victoria Leong4.   

Abstract

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 neural, cognitive and behavioural functions, 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 study 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.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Electroencephalography (EEG); Infant; Longitudinal design; Methodology; Social neuroscience

Year:  2019        PMID: 31830682     DOI: 10.1016/j.infbeh.2019.101393

Source DB:  PubMed          Journal:  Infant Behav Dev        ISSN: 0163-6383


  12 in total

Review 1.  Brains in Sync: Practical Guideline for Parent-Infant EEG During Natural Interaction.

Authors:  Elise Turk; Yaara Endevelt-Shapira; Ruth Feldman; Marion I van den Heuvel; Jonathan Levy
Journal:  Front Psychol       Date:  2022-04-27

2.  A single-session behavioral protocol for successful event-related potential recording in children with neurodevelopmental disorders.

Authors:  Maggie W Guy; Conner J Black; Abigail L Hogan; Ramsey E Coyle; John E Richards; Jane E Roberts
Journal:  Dev Psychobiol       Date:  2021-11       Impact factor: 2.531

3.  Psychometric properties of infant electroencephalography: Developmental stability, reliability, and construct validity of frontal alpha asymmetry and delta-beta coupling.

Authors:  Berenice Anaya; Brendan Ostlund; Vanessa LoBue; Kristin Buss; Koraly Pérez-Edgar
Journal:  Dev Psychobiol       Date:  2021-08-22       Impact factor: 2.531

4.  Reliability of an automated gaze-controlled paradigm for capturing neural responses during visual and face processing in toddlerhood.

Authors:  Rianne Haartsen; Luke Mason; Eleanor K Braithwaite; Teresa Del Bianco; Mark H Johnson; Emily J H Jones
Journal:  Dev Psychobiol       Date:  2021-11       Impact factor: 2.531

5.  Using multiple short epochs optimises the stability of infant EEG connectivity parameters.

Authors:  Rianne Haartsen; Bauke van der Velde; Emily J H Jones; Mark H Johnson; Chantal Kemner
Journal:  Sci Rep       Date:  2020-07-29       Impact factor: 4.379

6.  EEG Assessment in a 2-Year-Old Child with Prolonged Disorders of Consciousness: 3 Years' Follow-up.

Authors:  Gang Xu; Qianqian Sheng; Qinggang Xin; Yanxin Song; Gaoyan Zhang; Lin Yuan; Peng Zhao; Jun Liang
Journal:  Comput Intell Neurosci       Date:  2020-11-21

Review 7.  The Role of Affectionate Caregiver Touch in Early Neurodevelopment and Parent-Infant Interactional Synchrony.

Authors:  Sofia Carozza; Victoria Leong
Journal:  Front Neurosci       Date:  2021-01-05       Impact factor: 4.677

8.  Association between spectral electroencephalography power and autism risk and diagnosis in early development.

Authors:  Scott Huberty; Virginia Carter Leno; Stefon J R van Noordt; Rachael Bedford; Andrew Pickles; James A Desjardins; Sara Jane Webb; Mayada Elsabbagh
Journal:  Autism Res       Date:  2021-05-06       Impact factor: 4.633

9.  Limiting data loss in infant EEG: putting hunches to the test.

Authors:  Bauke van der Velde; Caroline Junge
Journal:  Dev Cogn Neurosci       Date:  2020-06-26       Impact factor: 6.464

10.  Towards a Personalized Multi-Domain Digital Neurophenotyping Model for the Detection and Treatment of Mood Trajectories.

Authors:  Yaron Sela; Lorena Santamaria; Yair Amichai-Hamburge; Victoria Leong
Journal:  Sensors (Basel)       Date:  2020-10-12       Impact factor: 3.576

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