Evidence map›Paper›PMID 29479312›Full record

ArticleFrontiers in human neuroscience2018

EEG Beta Oscillations in the Temporoparietal Area Related to the Accuracy in Estimating Others' Preference.

Jonghyeok Park, Hackjin Kim, Jeong-Woo Sohn, Jong-Ryul Choi, Sung-Phil Kim

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Article in Frontiers in human neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jonghyeok ParkDepartment of Human Factors Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea.
Hackjin KimDepartment of Psychology, Korea University, Seoul, South Korea.
Jeong-Woo SohnMedical Device Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea.
Jong-Ryul ChoiMedical Device Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea.
Sung-Phil KimDepartment of Human Factors Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans often attempt to predict what others prefer based on a narrow slice of experience, called thin-slicing. According to the theoretical bases for how humans can predict the preference of others, one tends to estimate the other's preference using a perceived difference between the other and self. Previous neuroimaging studies have revealed that the network of dorsal medial prefrontal cortex (dmPFC) and right temporoparietal junction (rTPJ) is related to the ability of predicting others' preference. However, it still remains unknown about the temporal patterns of neural activities for others' preference prediction through thin-slicing. To investigate such temporal aspects of neural activities, we investigated human electroencephalography (EEG) recorded during the task of predicting the preference of others while only a facial picture of others was provided. Twenty participants (all female, average age: 21.86) participated in the study. In each trial of the task, participants were shown a picture of either a target person or self for 3 s, followed by the presentation of a movie poster over which participants predicted the target person's preference as liking or disliking. The time-frequency EEG analysis was employed to analyze temporal changes in the amplitudes of brain oscillations. Participants could predict others' preference for movies with accuracy of 56.89 ± 3.16% and 10 out of 20 participants exhibited prediction accuracy higher than a chance level (95% interval). There was a significant difference in the power of the parietal alpha (10~13 Hz) oscillation 0.6~0.8 s after the onset of poster presentation between the cases when participants predicted others' preference and when they reported self-preference (

Indexed as

beta oscillationEEGpredictionpreferencetemporoparietal junctionthin-slicing

Identifiers

PMID29479312
PMCPMC5811502

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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.