Evidence map›Paper›PMID 39066076›Full record

ArticleSensors (Basel, Switzerland)2024

Scalp Electroencephalogram-Derived Involvement Indexes during a Working Memory Task Performed by Patients with Epilepsy.

Erica Iammarino, Ilaria Marcantoni, Agnese Sbrollini, Mhd Jafar Mortada, Micaela Morettini, Laura Burattini

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Erica IammarinoDepartment of Information Engineering, Engineering Faculty, Università Politecnica delle Marche, 60131 Ancona, Italy.ORCID 0009-0009-1261-4898
Ilaria MarcantoniDepartment of Information Engineering, Engineering Faculty, Università Politecnica delle Marche, 60131 Ancona, Italy.ORCID 0000-0002-8053-3530
Agnese SbrolliniDepartment of Information Engineering, Engineering Faculty, Università Politecnica delle Marche, 60131 Ancona, Italy.ORCID 0000-0002-9152-7216
Mhd Jafar MortadaDepartment of Information Engineering, Engineering Faculty, Università Politecnica delle Marche, 60131 Ancona, Italy.ORCID 0009-0003-8245-8380
Micaela MorettiniDepartment of Information Engineering, Engineering Faculty, Università Politecnica delle Marche, 60131 Ancona, Italy.ORCID 0000-0002-8327-8379
Laura BurattiniDepartment of Information Engineering, Engineering Faculty, Università Politecnica delle Marche, 60131 Ancona, Italy.ORCID 0000-0002-9474-7046

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electroencephalography (EEG) wearable devices are particularly suitable for monitoring a subject's engagement while performing daily cognitive tasks. EEG information provided by wearable devices varies with the location of the electrodes, the suitable location of which can be obtained using standard multi-channel EEG recorders. Cognitive engagement can be assessed during working memory (WM) tasks, testing the mental ability to process information over a short period of time. WM could be impaired in patients with epilepsy. This study aims to evaluate the cognitive engagement of nine patients with epilepsy, coming from a public dataset by Boran et al., during a verbal WM task and to identify the most suitable location of the electrodes for this purpose. Cognitive engagement was evaluated by computing 37 engagement indexes based on the ratio of two or more EEG rhythms assessed by their spectral power. Results show that involvement index trends follow changes in cognitive engagement elicited by the WM task, and, overall, most changes appear most pronounced in the frontal regions, as observed in healthy subjects. Therefore, involvement indexes can reflect cognitive status changes, and frontal regions seem to be the ones to focus on when designing a wearable mental involvement monitoring EEG system, both in physiological and epileptic conditions.

Indexed as

ElectroencephalographyEpilepsyMemory, Short-TermAdultCognitionElectrodesFemaleHumansMaleMiddle AgedScalpWearable Electronic DevicesYoung Adultalpha rhythmbeta rhythmbrain rhythmsdelta rhythmengagementepilepsygamma rhythmtheta rhythmworking memory

Identifiers

PMID39066076
PMCPMC11280559

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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.