Evidence map›Paper›PMID 34577225›Full record

ArticleSensors (Basel, Switzerland)2021

Monitoring the Cortical Activity of Children and Adults during Cognitive Task Completion.

Marina V Khramova, Alexander K Kuc, Vladimir A Maksimenko, Nikita S Frolov, Vadim V Grubov, Semen A Kurkin, Alexander N Pisarchik, Natalia N Shusharina, Alexander A Fedorov, Alexander E Hramov

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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
2.4field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 28 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

10 authors at 2 institutions in 2 countries.

Marina V KhramovaBaltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia.ORCID 0000-0002-6392-4580
Alexander K KucBaltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia.ORCID 0000-0001-6233-2594
Vladimir A MaksimenkoBaltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia.ORCID 0000-0002-4632-6896
Nikita S FrolovBaltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia.ORCID 0000-0002-2788-1907
Vadim V GrubovBaltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia.ORCID 0000-0003-2491-2592
Semen A KurkinBaltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia.ORCID 0000-0002-3438-5717
Alexander N PisarchikBaltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia.ORCID 0000-0003-2471-2507
Natalia N ShusharinaBaltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia.ORCID 0000-0002-8848-6134
Alexander A FedorovImmanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia.ORCID 0000-0001-5501-3149
Alexander E HramovBaltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia.ORCID 0000-0003-2787-2530
Immanuel Kant Baltic Federal University · RUSaratov State University · RU

Funding

President Program MK-1760.2020.2Russian Foundation for Basic Research 19-29-14101Russian Foundation for Basic Research 19-32-60033
6 · The paper itself

Abstract

In this paper, we used an EEG system to monitor and analyze the cortical activity of children and adults at a sensor level during cognitive tasks in the form of a Schulte table. This complex cognitive task simultaneously involves several cognitive processes and systems: visual search, working memory, and mental arithmetic. We revealed that adults found numbers on average two times faster than children in the beginning. However, this difference diminished at the end of table completion to 1.8 times. In children, the EEG analysis revealed high parietal alpha-band power at the end of the task. This indicates the shift from procedural strategy to less demanding fact-retrieval. In adults, the frontal beta-band power increased at the end of the task. It reflects enhanced reliance on the top-down mechanisms, cognitive control, or attentional modulation rather than a change in arithmetic strategy. Finally, the alpha-band power of adults exceeded one of the children in the left hemisphere, providing potential evidence for the fact-retrieval strategy. Since the completion of the Schulte table involves a whole set of elementary cognitive functions, the obtained results were essential for developing passive brain-computer interfaces for monitoring and adjusting a human state in the process of learning and solving cognitive tasks of various types.

Indexed as

BrainElectroencephalographyAdultAttentionChildCognitionHumansMemory, Short-Termage differencesattentional modulationbrain–computer interfacecognitive taskcortical activity monitoringEEG sensorshuman cognitive stateSchulte tablesensor-level analysis

Identifiers

PMID34577225
PMCPMC8472204
OpenAlexW3198551272

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.