Evidence map›Paper›PMID 30853927›Full record

ArticleFrontiers in psychology2019

Real-Time Neural Signals of Disorder and Order Perception.

Kaiyun Li, Huijing Yang, Xiaoning Qi, Fengxun Lin, Gongxiang Chen, Minfang Zhao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 42% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Kaiyun LiSchool of Education and Psychology, University of Jinan, Jinan, China.
Huijing YangSchool of Education and Psychology, University of Jinan, Jinan, China.
Xiaoning QiSchool of Education and Psychology, University of Jinan, Jinan, China.
Fengxun LinSchool of Education and Psychology, University of Jinan, Jinan, China.
Gongxiang ChenSchool of Education and Psychology, University of Jinan, Jinan, China.
Minfang ZhaoSchool of Education Science, Huizhou University, Huizhou, China.
University of Jinan · CNHuizhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Order and disorder are prevalent in everyday life, yet little is known about the neural real-time processing that occurs during the perception of disorder relative to order. In the present study, from a cognitive perspective, by adopting the ERP method, we aimed to examine the elicited real-time neural signals of disorder and order perception when participants processed physical environmental and basic visual disorder and order pictures in an irrelevant red or green rectangle detection task, and we attempted to test the hypothesis of cognitive disfluency in disorder perception. Generally, we observed that at each measured time interval, the ERPs elicited by order stimuli were more positive (less negative) in amplitude than those elicited by disorder stimuli at the frontal electrodes (represented by F7/F8, FT7/FT8, Fz, and FCz), whereas at the posterior electrodes (represented by P7/P8, PO7/PO8, Pz, and POz), the opposite was true. These data reveal for the first time the neural underpinnings of disorder and order perception, extending our understanding of the nature of disorder and order. This study also contributes to the cognitive fluency literature and indirectly expands the research on disorder and order stimuli in cognitive fluency.

Indexed as

cognitive disfluencydisorderERPsorderphysical environmental and basic visual pictures

Identifiers

PMID30853927
PMCPMC6395426
OpenAlexW2916774589

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.