Evidence map›Paper›PMID 41377193›Full record

ArticleFrontiers in human neuroscience2025

Exploring the link between emotional states and coding task quality: a pilot study.

Aquib Reshad, Valentina Nino, Maria Valero, Adriane Randolph, Yang Shi

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2025. 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

5 authors.

Aquib ReshadDepartment of Industrial and Systems Engineering, Kennesaw State University, Marietta, GA, United States.
Valentina NinoDepartment of Industrial and Systems Engineering, Kennesaw State University, Marietta, GA, United States.
Maria ValeroDepartment of Information Technology, Kennesaw State University, Marietta, GA, United States.
Adriane RandolphDepartment of Information Systems and Security, Kennesaw State University, Marietta, GA, United States.
Yang ShiDepartment of Computer Science, Utah State University, Price, UT, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emotions play a crucial role in shaping cognitive performance, yet their influence on programing remains understudied. This pilot study investigates the relationship between emotional states and coding task quality. Ten participants completed a programing task while their brain activity was recorded using electroencephalography (EEG), with frontal alpha asymmetry (FAI) applied as a neural marker of emotional valence. Emotional self-reports were collected using the Scale of Positive and Negative Experience (SPANE), and coding quality was evaluated through a structured rubric. Preliminary findings indicate a potential association between FAI and coding performance, whereas self-reported affect showed weaker or inconsistent patterns. Given the small sample size (

Indexed as

EEGemotionsFrontal Asymmetry Indexprograming qualityprogrammers

Identifiers

PMID41377193
PMCPMC12685899

What OpenQuestion holds

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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.