Evidence map›Paper›PMID 30177611›Full record

ArticleSensors (Basel, Switzerland)2018

The Dynamic EEG Microstates in Mental Rotation.

Wanzeng Kong, Luyun Wang, Jianhai Zhang, Qibin Zhao, Junfeng Sun

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. 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
0.3field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Wanzeng KongSchool of Computer and Technology, Hangzhou Dianzi University, Hangzhou 310000, China. kongwanzeng@hdu.edu.cn.ORCID 0000-0002-0113-6968
Luyun WangSchool of Computer and Technology, Hangzhou Dianzi University, Hangzhou 310000, China. wangluyun@hdu.edu.cn.
Jianhai ZhangSchool of Computer and Technology, Hangzhou Dianzi University, Hangzhou 310000, China. jhzhang@hdu.edu.cn.ORCID 0000-0002-5992-0405
Qibin ZhaoTensor Learning Unit, RIKEN AIP, Tokyo 103-0027, Japan. qibin.zhao@riken.jp.
Junfeng SunSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200000, China. jfsun@sjtu.edu.cn.ORCID 0000-0002-7614-7127
Hangzhou Dianzi University · CNRIKEN Center for Advanced Intelligence Project · JPShanghai Jiao Tong University · CN

Funding

Acoustics Science and Technology Laboratory of Harbin Engineering University SSKF2017001National Natural Science Foundation of China 61671193National Natural Science Foundation of China 61673267Science and technology platform construction project of Fujian science and Technology Department 2015Y2001Science and Technology Program of Zhejiang Province 2018C04012
6 · The paper itself

Abstract

Mental rotation is generally analyzed based on event-related potential (ERP) in a time domain with several characteristic electrodes, but neglects the whole spatial-temporal brain pattern in the cognitive process which may reflect the underlying cognitive mechanism. In this paper, we mainly proposed an approach based on microstates to examine the encoding of mental rotation from the spatial-temporal changes of EEG signals. In particular, we collected EEG data from 11 healthy subjects in a mental rotation cognitive task using 12 different stimulus pictures representing left and right hands at various rotational angles. We applied the microstate method to investigate the microstates conveyed by the event-related potential extracted from EEG data during mental rotation, and obtained four microstate modes (referred to as modes A, B, C, D, respectively). Subsequently, we defined several measures, including microstate sequences, topographical map, hemispheric lateralization, and duration of microstate, to characterize the dynamics of microstates during mental rotation. We observed that (1) the microstates sequence had a specified progressing mode, i.e., A → B → A ; (2) the activation of the right parietal occipital region was stronger than that of the left parietal occipital region according to the hemispheric lateralization of the microstates mode A; and (3) the duration of the second microstates mode A showed the shorter duration in the vertical stimuli, named "angle effect".

Indexed as

ElectroencephalographyRotationBrainBrain MappingEvoked PotentialsHandHumansPhotic Stimulationcognitive processdynamic EEGevent-related potentialmental rotationmicrostatespatial-temporal

Identifiers

PMID30177611
PMCPMC6165343
OpenAlexW2892239554

What OpenQuestion holds

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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.