Visual Perceptual Load Does Not Affect the Frequency Mismatch Negativity
Stefan Wiens; Erik van Berlekom; Malina Szychowska; Rasmus Eklund · 2019 · Frontiers in Psychology
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
The mismatch negativity (MMN) has been of particular interest in auditory perception because of its sensitivity to auditory change. It is typically measured in an oddball task and is computed as the difference of deviant minus standard tones. Previous studies suggest that the oddball MMN can be reduced by crossmodal attention to a concurrent, difficult visual task. However, more recent studies did not replicate this effect. Because previous findings seem to be biased, we preregistered the present study and used Bayesian hypothesis testing to measure the strength of evidence for or against an e
Abstract by Stefan Wiens; Erik van Berlekom; Malina Szychowska; Rasmus Eklund, Frontiers in Psychology (2019) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Reproducible brain-wide association studies require thousands of individuals
Negative / Null Result ReportDaily Left Prefrontal Transcranial Magnetic Stimulation Therapy for Major Depressive Disorder
Negative / Null Result ReportEarly Brain Overgrowth in Autism Associated With an Increase in Cortical Surface Area Before Age 2 Years
Negative / Null Result ReportObjective evaluation of anosmia and ageusia in COVID‐19 patients: Single‐center experience on 72 cases
Negative / Null Result ReportPolarity and timing-dependent effects of transcranial direct current stimulation in explicit motor learning
Negative / Null Result ReportThe feedback-related negativity (FRN) revisited: New insights into the localization, meaning and network organization
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.3389/fpsyg.2019.01970