Evidence map›Paper›PMID 30192756›Full record

ArticlePloS one2018

Human personality reflects spatio-temporal and time-frequency EEG structure.

Vladimir A Maksimenko, Anastasia E Runnova, Maksim O Zhuravlev, Pavel Protasov, Roman Kulanin, Marina V Khramova, Alexander N Pisarchik, Alexander E Hramov

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.8field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 55 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

8 authors at 2 institutions in 2 countries.

Vladimir A MaksimenkoResearch and Education Center "Artificial Intelligence Systems and Neurotechnologies", Politehnicheskaya Str., 77, 410054 Saratov, Russia.ORCID 0000-0002-4632-6896
Anastasia E RunnovaResearch and Education Center "Artificial Intelligence Systems and Neurotechnologies", Politehnicheskaya Str., 77, 410054 Saratov, Russia.
Maksim O ZhuravlevResearch and Education Center "Artificial Intelligence Systems and Neurotechnologies", Politehnicheskaya Str., 77, 410054 Saratov, Russia.
Pavel ProtasovResearch and Education Center "Artificial Intelligence Systems and Neurotechnologies", Politehnicheskaya Str., 77, 410054 Saratov, Russia.
Roman KulaninResearch and Education Center "Artificial Intelligence Systems and Neurotechnologies", Politehnicheskaya Str., 77, 410054 Saratov, Russia.
Marina V KhramovaSaratov State University, Astrakhanskaya Str., 83, 410012 Saratov, Russia.
Alexander N PisarchikResearch and Education Center "Artificial Intelligence Systems and Neurotechnologies", Politehnicheskaya Str., 77, 410054 Saratov, Russia.ORCID 0000-0003-2471-2507
Alexander E HramovResearch and Education Center "Artificial Intelligence Systems and Neurotechnologies", Politehnicheskaya Str., 77, 410054 Saratov, Russia.
Saratov State University · RUUniversidad Politécnica de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reliable and objective assessment of intelligence and personality has been a topic of increasing interest of contemporary neuroscience and psychology. It is known that intelligence can be measured by estimating the mental speed or velocity of information processing. This is usually measured as a reaction time during elementary cognitive task processing, while personality is often assessed by means of questionnaires. On the other hand, human personality affects the way a subject accomplishes elementary cognitive tasks and, therefore, some personality features can define intelligence. It is expected that these features, as well as mental abilities in performing cognitive tasks are associated with the brain's electrical neural activity. Although several studies reported correlation between event-related potentials, mental ability and intelligence, there is a lack of information about time-frequency and spatio-temporal structures of neural activity which characterize this relation. In the present work, we analyzed human electroencephalograms (EEG) recorded during the performance of elementary cognitive tasks using the Schulte test, which is a paper-pencil based instrument for assessing elementary cognitive ability or mental speed. According to particular features found of the EEG structure, we divided the subjects into three groups. For subjects in each group, we applied the Sixteen Personality Factor Questionnaire (16PF) to assess the their personality traits. We demonstrated that each group exhibited a different score on the personality scale, such as warmth, reasoning, emotional stability and dominance. Summing up, we found a link between EEG features, mental abilities and personality traits. The obtained results can be of great interest for testing human personality to create automatized intelligent programs which combine simple tests and EEG measurements for real estimation of human personality traits and mental abilities.

Indexed as

AdultBrainCognitionElectroencephalographyHumansMaleNeuropsychological TestsPersonalityPersonality AssessmentSurveys and Questionnaires

Identifiers

PMID30192756
PMCPMC6128450
OpenAlexW2952438986

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.