Evidence map›Paper›PMID 36562063›Full record

ArticleFrontiers in psychology2022

Comparing random dot motion in MATLAB vs. Inquisit Millisecond.

Kimia C Yaghoubi, Sarah Kabbara, Sara Arian, Hadi Kobaissi, Megan A K Peters, Aaron R Seitz

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. PLFest: A New Platform for Accessible, Reproducible, and Open Perceptual Learning Research.Journal of cognitive enhancement : towards the integration of theory and practice · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kimia C YaghoubiPerception and Learning Laboratory, Department of Psychology, University of California, Riverside, Riverside, CA, United States.
Sarah KabbaraPerception and Learning Laboratory, Department of Psychology, University of California, Riverside, Riverside, CA, United States.
Sara ArianPerception and Learning Laboratory, Department of Psychology, University of California, Riverside, Riverside, CA, United States.
Hadi KobaissiPerception and Learning Laboratory, Department of Psychology, University of California, Riverside, Riverside, CA, United States.
Megan A K PetersCognitive and Neural Computation Laboratory, Department of Cognitive Sciences, University of California, Irvine, Irvine, CA, United States.
Aaron R SeitzPerception and Learning Laboratory, Department of Psychology, University of California, Riverside, Riverside, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Random Dot Motion (RDM) displays refer to clouds of independently moving dots that can be parametrically manipulated to provide a perception of the overall cloud moving coherently in a specified direction of motion. As a well-studied probe of motion perception, RDMs have been widely employed to understand underlying neural mechanisms of motion perception, perceptual decision-making, and perceptual learning, among other processes. Despite their wide use, RDM stimuli implementation is highly dependent on the parameters and the generation algorithm of the stimuli; both can greatly influence behavioral performance on RDM tasks. With the advent of the COVID pandemic and an increased need for more accessible platforms, we aimed to validate a novel RDM paradigm on Inquisit Millisecond, a platform for the online administration of cognitive and neuropsychological tests and assessments. We directly compared, in the same participants using the same display, a novel RDM paradigm on both Inquisit Millisecond and MATLAB with Psychtoolbox. We found that psychometric functions of Coherence largely match between Inquisit Millisecond and MATLAB, as do the effects of Duration. These data demonstrate that the Millisecond RDM provides data largely consistent with those previously found in laboratory-based systems, and the present findings can serve as a reference point for expected thresholds for when these procedures are used remotely on different platforms.

Indexed as

COVID-19direction estimationinter-platform validityintra-platform validitymotion perceptionrandom dot motion

Identifiers

PMID36562063
PMCPMC9763265

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.