Evidence map›Paper›PMID 41201461›Full record

ArticleeLife2025

Rhythmic sampling and competition of target and distractor in a motion detection task.

Changhao Xiong, Nathan M Petro, Ke Bo, Lihan Cui, Andreas Keil, Mingzhou Ding

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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.

Changhao Xiong *J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, United States.ORCID https://orcid.org/0009-0008-2766-8373
Nathan M Petro *Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, United States.ORCID https://orcid.org/0000-0002-7553-4459
Ke BoDepartment of Psychological and Brain Science, Dartmouth College, Hanover, United States.ORCID https://orcid.org/0000-0003-3286-7891
Lihan CuiJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, United States.ORCID https://orcid.org/0000-0001-7722-3550
Andreas KeilDepartment of Psychology, University of Florida, Gainesville, United States.ORCID https://orcid.org/0000-0002-4064-1924
Mingzhou DingJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, United States.ORCID https://orcid.org/0000-0002-1024-3503

Funding

Ding R01 Administrative SupplementR01MH125615 · NIMH · UNIVERSITY OF FLORIDA · PI DING, MINGZHOU, KEIL, ANDREAS · 2021 to 2025
$2.5M
NIH HHS R01 MH125615NIMH NIH HHS R01 MH125615U.S. National Science Foundation BCS2318886U.S. National Science Foundation BCS2318984
6 · The paper itself

Abstract

It has been suggested that the visual system samples attended information rhythmically. Does rhythmic sampling also apply to distracting information? How do attended information and distracting information compete temporally for neural representations? We recorded electroencephalography (EEG) from participants who detected instances of coherent motion in a random-dot kinematogram (RDK; the target), overlayed on different categories (pleasant, neutral, and unpleasant) of affective images from the International Affective Picture System (IAPS) (the distractor). The moving dots were flickered at 4.29 Hz, whereas the IAPS pictures were flickered at 6 Hz. The time course of EEG spectral power at 4.29 Hz was taken to index the temporal dynamics of target processing. The spatial pattern of the EEG spectral power at 6 Hz was similarly extracted and subjected to a moving-window MVPA decoding analysis to index the temporal dynamics of processing pleasant, neutral, or unpleasant distractor pictures. We found that (1) both target processing and distractor processing exhibited rhythmicity at ~1 Hz and (2) the phase difference between the two rhythmic time courses was related to task performance, i.e., relative phase closer to π predicted a higher rate of coherent motion detection whereas relative phase closer to 0 predicted a lower rate of coherent motion detection. These results suggest that (1) in a target-distractor scenario, both attended and distracting information were sampled rhythmically and (2) the more target sampling and distractor sampling were separated in time within a sampling cycle, the less distraction effects were observed, both at the neural and the behavioral level.

Indexed as

AttentionMotion PerceptionAdultElectroencephalographyFemaleHumansMalePhotic StimulationYoung AdultattentiondistractorEEGhumanmultivariate pattern analysisneurosciencerhythmic samplingSSVEP

Identifiers

PMID41201461
PMCPMC12594525

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Registered trials

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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.