Evidence map›Paper›PMID 39651732›Full record

ArticleHuman brain mapping2024

Negative Emotion Differentiation Promotes Cognitive Reappraisal: Evidence From Electroencephalogram Oscillations and Phase-Amplitude Coupling.

Yali Wang, Chenyu Shangguan, Sijin Li, Wenhai Zhang

Abstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

4 authors.

Yali WangSchool of Marxism, Zhejiang University of Finance and Economics, Hangzhou, China.ORCID 0000-0002-7953-7673
Chenyu ShangguanCollege of Education Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing, China.
Sijin LiSchool of Psychology, Shenzhen University, Shenzhen, China.
Wenhai ZhangMental Health Education Center, Yancheng Institute of Technology, Yancheng, China.ORCID 0000-0002-2427-3965

Funding

Major Project of College Philosophy and Social Science Research in Jiangsu Province 2024SJZDSZ030Ministry of Education of the People's Republic of China 23YJCZH226National Natural Science Foundation of China 62407022Zhejiang Provincial Philosophy and Social Science Planning Office 23NDJC222YB
6 · The paper itself

Abstract

Cognitive reappraisal, an effective emotion regulation strategy, is influenced by various individual factors. Although previous studies have established a link between negative emotion differentiation (NED) and cognitive reappraisal, the underlying neural mechanisms remain largely unknown. Using electroencephalography, this study investigates the influence and neural basis of NED in cognitive reappraisal by integrating aspects of event-related potentials, neural oscillation rhythms, and cross-frequency coupling. The findings revealed that individuals with high NED demonstrated a significant decrease in parietal late positive potential amplitudes during cognitive reappraisal, suggesting enhanced cognitive reappraisal abilities. Moreover, high NED individuals displayed increased γ synchronization, parietal α-γ coupling, and frontal θ-γ coupling when reappraising negative emotions than those with low emotion differentiation ability. Machine learning analysis of these neural indicators highlighted the superior classification and predictive accuracy of multimodal indicators for NED as opposed to unimodal indicators. Overall, this multimodal evidence provides a comprehensive interpretation of the neurophysiological mechanisms through which NED influences cognitive reappraisal and provides preliminary empirical support for personalized cognitive reappraisal interventions to alleviate emotional problems.

Indexed as

ElectroencephalographyAdultBrain WavesCerebral CortexCognitionEmotional RegulationEmotionsEvoked PotentialsFemaleHumansMachine LearningMaleYoung Adultcognitive reappraisalcross‐frequency couplingemotion differentiationmachine learningneural oscillation rhythms

Identifiers

PMID39651732
PMCPMC11626486

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.