4.5 Article

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

Journal

DEVELOPMENTAL COGNITIVE NEUROSCIENCE
Volume 45, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.dcn.2020.100809

Keywords

EEG; Data loss; Infants; Longitudinal; Data analysis

Funding

  1. Consortium on Individual Development (CID)
  2. Gravitation program of the Dutch Ministry of Education, Culture, and Science
  3. NWO [024.001.003]

Ask authors/readers for more resources

EEG is a widely used tool to study the infant brain and its relationship with behavior. As infants usually have small attention spans, move at free will, and do not respond to task instructions, attrition rates are usually high. Increasing our understanding of what influences data loss is therefore vital. The current paper examines external factors to data loss in a large-scale on-going longitudinal study (the YOUth project; 1279 five-month-olds, 1024 ten-months-olds, and 109 three-year-olds). Data loss is measured for both continuous EEG and ERP tasks as the percentage data loss after artifact removal. Our results point to a wide array of external factors that contribute to data loss, some related to the child (e.g., gender; age; head shape) and some related to experimental settings (e.g., choice of research assistant; time of day; season; and course of the experiment). Data loss was also more pro-nounced in the ERP experiment than in the EEG experiment. Finally, evidence was found for within-subject stability in data loss characteristics over multiple sessions. We end with recommendations to limit data loss in future studies.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Neurosciences

NMDA Receptor Antagonist Ketamine Distorts Object Recognition by Reducing Feedback to Early Visual Cortex

Anouk M. van Loon, Johannes J. Fahrenfort, Bauke van der Velde, Philipp B. Lirk, Nienke C. C. Vulink, Markus W. Hollmann, H. Steven Scholte, Victor A. F. Lamme

CEREBRAL CORTEX (2016)

Article Biochemistry & Molecular Biology

Late Development of Cue Integration Is Linked to Sensory Fusion in Cortex

Tessa M. Dekker, Hiroshi Ban, Bauke van der Velde, Martin I. Sereno, Andrew E. Welchman, Marko Nardini

CURRENT BIOLOGY (2015)

Review Substance Abuse

Causal Factors of Increased Smoking in ADHD: A Systematic Review

Jan van Amsterdam, Bauke van der Velde, Mieke Schulte, Wim van den Brink

SUBSTANCE USE & MISUSE (2018)

Article Behavioral Sciences

Test-retest reliability of EEG network characteristics in infants

Bauke van der Velde, Rianne Haartsen, Chantal Kemner

BRAIN AND BEHAVIOR (2019)

Article Multidisciplinary Sciences

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

Rianne Haartsen, Bauke van der Velde, Emily J. H. Jones, Mark H. Johnson, Chantal Kemner

SCIENTIFIC REPORTS (2020)

Article Neurosciences

The emergence of a theta social brain network during infancy

Bauke van der Velde, Tonya White, Chantal Kemner

Summary: Infants' socio-cognitive ability develops significantly in the first year of life, with social behavior playing a crucial role in parent-child attachment and survival. A longitudinal study on 854 infants revealed the importance and developmental trajectory of theta networks in the functional brain networks during social development.

NEUROIMAGE (2021)

No Data Available