Testing the magnocellular-pathway advantage in facial expressions processing for consistency over time

Available online 17 January 2020, 107352

Testing the magnocellular-pathway advantage in facial expressions processing for consistency over time

Highlights

This study examined the reliability of magnocellular bias for processing emotions.

Participants completed a facial emotion identification task.

Analyses revealed an advantage for the magnocellular pathway in processing facial expressions.

Reaction time patterns of results were highly stable over time.

Abstract

The ability to identify facial expressions rapidly and accurately is central to human evolution. Previous studies have demonstrated that this ability relies to a large extent on the magnocellular, rather than parvocellular, visual pathway, which is biased toward processing low spatial frequencies. Despite the generally consistent finding, no study to date has investigated the reliability of this effect over time. In the present study, 40 participants completed a facial emotion identification task (fearful, happy, or neutral faces) using facial images presented at three different spatial frequencies (low, high, or broad spatial frequency), at two time points separated by one year. Bayesian statistics revealed an advantage for the magnocellular pathway in processing facial expressions; however, no effect for time was found. Furthermore, participants’ RT patterns of results were highly stable over time. Our replication, together with the consistency of our measurements within subjects, underscores the robustness of this effect. This capacity, therefore, may be considered in a trait-like manner, suggesting that individuals may possess various ability levels for processing facial expressions that can be captured in behavioral measurements.

Keywords

Facial expression

Spatial frequency

Magnocellular

Parvocellular

Bayesian statistics

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© 2020 Elsevier Ltd. All rights reserved.

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via ScienceDirect Publication: Neuropsychologia https://ift.tt/366vZo7

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