Evidence map›Paper›PMID 34548511›Full record

ArticleScientific reports2021

Early EEG responses to pre-electoral survey items reflect political attitudes and predict voting behavior.

Giulia Galli, Davide Angelucci, Stefan Bode, Chiara De Giorgi, Lorenzo De Sio, Aldo Paparo, Giorgio Di Lorenzo, Viviana Betti

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

8 authors.

Giulia GalliDepartment of Psychology, Kingston University, Kingston, UK. g.galli@kingston.ac.uk.
Davide AngelucciDepartment of Political Science, LUISS Guido Carli, Rome, Italy.
Stefan BodeMelbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia.
Chiara De GiorgiIRCCS Fondazione Santa Lucia, Rome, Italy.
Lorenzo De SioDepartment of Political Science, LUISS Guido Carli, Rome, Italy.
Aldo PaparoDepartment of Political Science, LUISS Guido Carli, Rome, Italy.
Giorgio Di LorenzoIRCCS Fondazione Santa Lucia, Rome, Italy.
Viviana BettiIRCCS Fondazione Santa Lucia, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-reports are conventionally used to measure political preferences, yet individuals may be unable or unwilling to report their political attitudes. Here, in 69 participants we compared implicit and explicit methods of political attitude assessment and focused our investigation on populist attitudes. Ahead of the 2019 European Parliament election, we recorded electroencephalography (EEG) from future voters while they completed a survey that measured levels of agreement on different political issues. An Implicit Association Test (IAT) was administered at the end of the recording session. Neural signals differed as a function of future vote for a populist or mainstream party and of whether survey items expressed populist or non-populist views. The combination of EEG responses and self-reported preferences predicted electoral choice better than traditional socio-demographic and ideological variables, while IAT scores were not a significant predictor. These findings suggest that measurements of brain activity can refine the assessment of socio-political attitudes, even when those attitudes are not based on traditional ideological divides.

Indexed as

AttitudeBehaviorElectroencephalographyPoliticsAdultEuropeFemaleHumansMaleSurveys and QuestionnairesYoung Adult

Identifiers

PMID34548511
PMCPMC8455561

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.