Evidence map›Paper›PMID 34198957›Full record

ArticleBrain sciences2021

Electrophysiological Studies of Cognitive Reappraisal Success and Failure in aMCI.

Shasha Xiao, Yingjie Li, Meng Liu, Yunxia Li

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2021. 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
0.6field-weighted citation impact, top 34% 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, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Successful emotion regulationFrontiers in human neuroscience · 2022
    Article
  5. 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

4 authors at 3 institutions in 1 country.

Shasha XiaoSchool of Communication and Information Engineering, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China.
Yingjie LiSchool of Communication and Information Engineering, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China.
Meng LiuDepartment of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200092, China.
Yunxia LiDepartment of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200092, China.
Tongji Hospital · CNShanghai University · CNTongji University · CN

Funding

National Key Research and Development Program of China 2018YFC1314700National Natural Science Fund of China 61571283
6 · The paper itself

Abstract

backgroundAlthough successful reappraisal relies on cognitive resources, how cognitive impairment affects brain processes related to cognitive reappraisal is not yet clear.

methodsForty-four amnestic mild cognitive impairment (aMCI) subjects and 72 healthy elderly controls (HECs) were divided into the MCI-Failure (

resultsReappraisal failure was found to be more common in people with MCI. Reappraisal failure is associated with altered neurophysiological indices of negative-reappraisal stimuli processing that are reflected in smaller theta responsivity to negative-reappraisal stimuli between 350-550 ms. The MCI-Success group showed enhanced LPP for negative-reappraisal stimuli from 1200 to 3500 ms, reflecting compensatory effort to complete the reappraisal task, while subjects in other groups showed reduced LPP for negative-reappraisal stimuli from 550 to 1200 ms.

conclusionsThese findings deepen our understanding of how cognitive decline impacts reappraisal and informs early diagnosis and interventions for MCI.

Indexed as

cognitive reappraisalemotion regulationevent-related potentiallate positive potentialmild cognitive impairmenttheta power

Identifiers

PMID34198957
PMCPMC8301780
OpenAlexW3176534672

What OpenQuestion holds

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LicenceCC BY
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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.