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[In progress] Attrition Rate in fNIRS-Based Infant Cognitive Neuroscience: A Meta-Analysis

Updated: Aug 3, 2020

Pre-registration: https://osf.io/uc436

Research shows that functional near-infrared spectroscopy (fNIRS) is an increasingly popular neuroimaging tool. Compared to other neuroimaging methods, fNIRS has been found to be particularly suitable for infant subjects given its lightweight portability and relative motion-resistance. Nevertheless, researchers often experience that infant subjects are much more likely to be fussy, non-cooperative, and excluded from the study compared to older subjects. Thus, when conducting research, it can be helpful to know what the norm is with regards to the attritions rate in the field, and different factors related to research that can affect the attrition rate to help design a task that can collect data from a more representative sample. However, there has been no comprehensive synthesis on the attrition rate in this field to date. The present registration systematically investigates the attrition rate across all published and unpublished infant studies on infant cognitive neuroscience studies using fNIRS, by (1) describing the attrition rate during infant cognitive neuroscience research using fNIRS and (2) identifying factors that affect this attrition rate.

Contribution: Co-author

Collaborators: Sori Baek, Lauren Emberson

Photo: Princeton Baby Lab

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