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59 results for “Mental fatigue”

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zenodo28/100

Exploring Mental Fatigue and Physical Limits in Soccer Players: Field-Based Study

Open the record for dataset details and reuse information.

opencc-by-4.0Aug 2024View details →
zenodo28/100

Performance Changes Depending on the Duration of Mental Fatigue

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
ClinicalTrials.gov28/100

Sleep Disturbance,Physical and Mental Fatigue on Mechanical Neck Pain

ClinicalTrials.gov study NCT05994066. IPD Sharing: Not stated. Countries: 0. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Mindfulness, Mental Fatigue, Inhibitory Control and Endurance Performance in Athletes

ClinicalTrials.gov study NCT05466136. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Mindfulness Training, Mental Fatigue, Endurance Performance and Neurocognitive Functions

ClinicalTrials.gov study NCT05452460. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

DESCANSO, a Mental Health Intervention for Depression, Insomnia, and Fatigue Symptoms in Latino People With Cancer

ClinicalTrials.gov study NCT07225088. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
dryad24/100

Data from: The combined fatigue effects of sequential exposure to seated whole body vibration and physical, mental, or concurrent work demands

Many occupations in agriculture, construction, transportation, and forestry are non-routine, involving non-cyclical tasks, both discretionary and non-discretionary work breaks, and a mix of work activities. Workers in these industries are exposed to seated whole body vibration (WBV) and tasks consisting of physical, mental, or a combination of demands. Risk assessment tools for non-routinized jobs have emerged but there remains a need to understand the combined effects of different work demands to improve risk assessment methods and ultimately inform ergonomists and workers on optimum work arrangement and scheduling strategies. The objective of this study was to investigate fatigue-related human responses of WBV sequentially combined with physical, mental, or concurrent physical and mental demands. Sixteen healthy participants performed four conditions on four separate days: (1) physically demanding work, (2) mentally demanding work, (3) concurrent work, and (4) control quiet sitting. For each condition, participants performed two 15-minute bouts of the experimental task, separated by 30-minutes of simulated WBV based on realistic all-terrain vehicle (ATV) riding data. A test battery of fatigue measures consisting of biomechanical, physiological, cognitive, and sensorimotor measurements were collected at four interval periods: pre-session, after the first bout of the experimental task and before WBV, after WBV and before the second bout of the experimental task, and post-session. Nine measures demonstrated statistically significant time effects during the control condition; 11, 7, and 12 measures were significant in the physical, mental, and concurrent conditions, respectively. Overall, the effects of seated WBV in combination with different tasks are not additive but possibly synergistic or antagonistic. There appears to be a beneficial effect of seated ATV operation as a means of increasing task variation; but since excessive WBV may independently pose a health risk in the longer-term, these beneficial results may not be sensible as a long-term solution.

opencc-zeroDec 2016View details →
zenodo24/100

Instrumental background music mitigates self-control fatigue and improves performance in prolonged mental work (Dataset)

<p>This repository contains the raw data used for a research study titled "Instrumental Background Music Facilitates Task Endurance and Cognitive Performance: Insights from Ego Depletion". This repository contains two Microsoft Excel files, as follows:</p> <ul> <li><em>ed_music_feature_analysis.csv</em></li> <li><em>ed_raw_data.xlsx</em></li> <li><em>ed_appendices [Anonymous].pdf</em></li> </ul> <p><strong>Files Description</strong></p> <p><em><strong>File: ed_music_feature_analysis.csv</strong></em></p> <p>This file contains the specific feature analysis for each music stimulus (N = 17) used in the experiment. These features (retrieved from Spotify's "Get Track's Audio Features" API) are:</p> <ul> <li>energy level</li> <li>valence</li> <li>tempo</li> </ul> <p>The Spotify ID of each music track is also recorded in this file, to facilitate future replication of the experiment.</p> <p><em><strong>File: ed_raw_data.xlsx</strong></em></p> <p>This file contains the raw data from the experiment (N = 41). There are two tabs in this file. The "data" tab records all raw data, whilst the "index" tab contains all the abbreviations (with their explanations) used in the document, and when relevant, a brief description of how the outcome measures were calculated.</p> <p>In the "data" tab, each row corresponds to a single participant and each column to a single variable. The variables about sample characteristics include:</p> <ul> <li>Age</li> <li>Self-identified gender</li> <li>Area of study</li> <li>Level of English proficiency</li> <li>Whether the participant has specific neurodiversity</li> <li>Personality traits</li> <li>Musicianship</li> <li>Self-reported everyday music listening habits</li> <li>Self-reported perceived (positive and negative) impact of music listening while studying</li> </ul> <p>The variables about experimental conditions and outcomes measures include:</p> <ul> <li>Each participant's assigned experimental condition (music or control)</li> <li>Reading comprehension performance (measured in terms of the number of questions answered and a final score)</li> <li>Pre- and post-reading positive affect, negative affect, and motivation for cognition</li> <li>(for the music condition) personal perception of the music they heard during the experiment</li> <li>Level of ego depletion (measured based on Stroop interference)</li> <li>Verbal working memory (measured based on Reading Span Task performance)</li> <li>Divided attention capacity (measured based on Category Switch Task performance)</li> </ul> <p><em>Notes.</em></p> <p><em>1. Empty cells in between data are missing data (due to participant absentees).</em></p> <p><em>2. See the "index" tab in&nbsp;<strong>ed_raw_data.xlsx&nbsp;</strong>for&nbsp;</em>a&nbsp;<em>detailed presentation and explanation of each recorded data.</em></p> <p><strong><em>File: </em><em>ed_appendices [Anonymous].pdf</em></strong></p> <p>This file contains the four appendices mentioned in the main article.</p>

restrictedcc-by-4.0Nov 2023View details →
zenodo24/100

Single and combined effect of acute sleep restriction and mental fatigue on basketball free-throw performance

<p><strong>Purpose:&nbsp;</strong>This study aimed to investigate the single and combined effects of sleep restriction (SR) and mental fatigue (MF) on free-throw (FT) performance among adult male basketball players.</p> <p><strong>Methods:&nbsp;</strong>A total of 19 amateur male basketball players performed, in a randomized, counterbalanced, and crossover order, 2 identical experimental sessions separated by an interval of 1 week. The difference between the 2 sessions was in the quantity of sleep the night before the sessions, as follows: in one case, the participants followed their habitual sleep-wake routines; in the other session, they were forced to sleep not more than 5 hours. During the experimental sessions, the participants performed 60 basketball FTs on 2 occasions, separated by watching a basketball tactical video for 30 minutes designed to induce MF. As such, the FT test was completed in 4 different conditions: control, MF, SR, and SR and MF combined.</p> <p><strong>Results:&nbsp;</strong>The participants registered a significantly lower total sleep time in acute SR (P &lt; .001). The subjective rating of MF was lower in the control than in MF, SR, and SR and MF combined (P &lt; .001). There were no differences between conditions for the subjective ratings of motivation. FT accuracy was higher in the control than in MF, SR, and SR and MF combined (P = .010), while no differences were observed between the 3 experimental conditions (all P &gt; .05).</p> <p><strong>Conclusion:&nbsp;</strong>The results indicate that a combined effect of MF and SR induces a small reduction in basketball FT performance, similar to MF or SR alone.</p>

opencc-by-4.0Nov 2021View details →
ClinicalTrials.gov24/100

The Effects of Mental Fatigue Created by Social Media on Upper Extremity Performance

ClinicalTrials.gov study NCT06088524. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

The Effect of Different Physical Activity Strategy on Cognitive Efficiency and Mental Fatigue Resistance

ClinicalTrials.gov study NCT07130825. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Guayusa: The Effect of an Herbal Extract on Alertness and Mental Fatigue

ClinicalTrials.gov study NCT05530915. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Assessment of Surgeons' Mental Fatigue Based on Operating Time

ClinicalTrials.gov study NCT07228767. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Monitoring the Effect of Mental Fatigue on Physical Performance Using Wearable Sensors and Physiological Parameters

ClinicalTrials.gov study NCT07323810. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

The Effect of Mental Fatigue on Lower Limb Functional Performance Tests and Brain Activity in a Healthy Population

ClinicalTrials.gov study NCT03643406. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Mental Fatigue on Reaction Time and Game Performance in Esport Players

ClinicalTrials.gov study NCT06729060. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Does Mental Fatigue Caused by Social Media Use Affect Biomechanical Properties of Muscles in Young Male Athletes?

ClinicalTrials.gov study NCT07263334. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

The Effects of Mental and Physical Fatigue to Force Production in Adults

ClinicalTrials.gov study NCT05973396. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Mental Fatigue and Industrial Work Performance

ClinicalTrials.gov study NCT04721392. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

The Effect of Mental Fatigue on the Cerebral Oxygenation During Endurance Exercise

ClinicalTrials.gov study NCT05355493. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record