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Aerospace Medicine and Human Performance Aug 2021Based on posturography parameters during sleep deprivation (SD), a mental fatigue index (MFI) was constructed for healthy male cadets. There were 37 young male subjects...
Based on posturography parameters during sleep deprivation (SD), a mental fatigue index (MFI) was constructed for healthy male cadets. There were 37 young male subjects who volunteered for two successive days of SD. Their posturography balance, profile of mood status (POMS), and heart rate variability (HRV) were measured at four different times (10:00 and 22:00 of day 1, 10:00 and 22:00 of day 2). According to the methods used in our previous research, similar MFIs based on posturography parameters were computed. Then, correlations of MFIs with POMS scores and HRV values were evaluated by linear and nonlinear methods including quadratic, S-curve, growth, and exponential analyses. MFI continued to increase during SD and MFI as the independent variable had quadratic relationships with fluster (R² 0.057), depression (R² 0.067), and anger (R² 0.05) scores of POMS. A linear correlation was found between MFI and the depression score (R² 0.045) and MFI correlated linearly (R² 0.029) and nonlinearly (R² 0.03) with heart rate. Similarly, MFI reflected changes in the time and frequency domain parameters of HRV, with linear (R²range: 0.0290.082) or nonlinear (R²range: 0.0300.082) relationships. The increase of MFI was linked with amplification of personal negative moods and an imbalance of autonomic nervous system activity. The findings suggest that MFI might be a potential indicator of mental fatigue and provide a method to prevent driving fatigue and human errors.
Topics: Affect; Autonomic Nervous System; Heart Rate; Humans; Male; Mental Fatigue; Sleep Deprivation
PubMed: 34503615
DOI: 10.3357/AMHP.5755.2021 -
Medical & Biological Engineering &... Sep 2021Stress and mental fatigue are in existence constantly in daily life, and decrease our productivity while performing our daily routines. The purpose of this study was to...
Stress and mental fatigue are in existence constantly in daily life, and decrease our productivity while performing our daily routines. The purpose of this study was to analyze the states of stress and mental fatigue using data fusion while e-sport activity. In the study, ten volunteers performed e-sport duty which required both physical and mental effort and skills for 2 min. Volunteers' electroencephalogram (EEG), galvanic skin response (GSR), heart rate variability (HRV), and eye tracking data were obtained before and during game and then were analyzed. In addition, the effects of e-sports were evaluated with visual analogue scale and d2 attention tests. The d2 tests are performed after the game, and the game has a positive effect on attention and concentration. EEG from the frontal region indicates that the game is partly caused by stress and mental fatigue. HRV analysis showed that the sympathetic and vagal activities created by e-sports on people are different. By evaluating HRV and GSR together, it was seen that the emotional processes of the participants were stressed in some and excited in others. Data fusion can serve a variety of purposes such as determining the effect of e-sports activity on the person and the appropriate game type.
Topics: Electroencephalography; Electronics; Galvanic Skin Response; Heart Rate; Humans; Mental Fatigue; Sports
PubMed: 34216320
DOI: 10.1007/s11517-021-02389-9 -
International Journal of Sports... Apr 2018The 2-bout exercise protocol has been developed to diagnose nonfunctional overreaching and the "overtraining syndrome." It consists of 2 maximal exercise bouts separated...
PURPOSE
The 2-bout exercise protocol has been developed to diagnose nonfunctional overreaching and the "overtraining syndrome." It consists of 2 maximal exercise bouts separated by 4 hours. Mental fatigue negatively influences performance, but the effects of its occurrence during the 2-bout exercise protocol have never been investigated. The aim of this study was to examine whether mental fatigue (induced during the rest period) influences physical and cognitive performance during/after the second exercise bout of the 2-bout exercise protocol.
METHODS
Nine healthy, well-trained male cyclists participated in a single-blind, randomized, placebo-controlled crossover study. The intervention consisted of either 1.5-hour rest (control) or performing a computer-based Stroop task to induce mental fatigue. Cognitive (Eriksen Flanker task), physiological (lactate, maximum heart rate, and maximum wattage), and subjective data (mental fatigue-visual analog scale, Profile of Mood States, and rating of perceived exertion) were gathered.
RESULTS
Ratings of fatigue, tension, and mental fatigue were affected in the mental fatigue condition (P < .05). Neither physiological nor cognitive differences were found between conditions. Ratings of mental fatigue were already affected after the first maximum exercise test (P < .05).
CONCLUSIONS
Neither physical nor cognitive performance was affected by mental fatigue, but subjective ratings did reveal significant differences. It is recommended to exclude mentally challenging tasks during the 2-bout exercise protocol rest period to ascertain unaffected subjective test results. This study should be repeated in athletes diagnosed with nonfunctional overreaching/overtraining syndrome.
Topics: Adolescent; Adult; Affect; Athletic Performance; Bicycling; Cognition; Cross-Over Studies; Exercise Test; Humans; Male; Mental Fatigue; Physical Conditioning, Human; Reaction Time; Single-Blind Method; Visual Analog Scale; Young Adult
PubMed: 28952829
DOI: 10.1123/ijspp.2016-0797 -
International Journal of Environmental... Jan 2023Mental fatigue is a common phenomenon in our daily lives. Long-term fatigue can lead to a decline in a person's operational functions and seriously affect work...
Mental fatigue is a common phenomenon in our daily lives. Long-term fatigue can lead to a decline in a person's operational functions and seriously affect work efficiency. In this paper, a method that recognizes the degree of mental fatigue based on relative band power and fuzzy entropy of Electroencephalogram (EEG) is proposed. The N-back experiment was used to induce mental fatigue in subjects, and the corresponding EEG signals were recorded during the experiment. A preprocessing method based on complementary ensemble empirical modal decomposition (CEEMD) and independent component analysis (ICA) was designed to remove noise from the raw EEG signal. The relative band power feature, which has been used extensively in fatigue recognition studies, was extracted from the EEG signals. Meanwhile, fuzzy entropy, a feature commonly used in attention recognition, was also extracted for fatigue recognition, based on previous findings that an increase in fatigue is accompanied by a decrease in attention. The two features were fed into an extreme gradient boosting (XGBoost) classifier to distinguish three different degrees of fatigue, which resulted in an average accuracy of 92.39% based on data from eight subjects. The promising results indicate the effectiveness of the proposed method in mental fatigue degree identification.
Topics: Humans; Signal Processing, Computer-Assisted; Entropy; Recognition, Psychology; Electroencephalography; Mental Fatigue
PubMed: 36674202
DOI: 10.3390/ijerph20021447 -
Clinical Neurology and Neurosurgery Feb 2020Memory is an important brain function, and is impaired with brain lesions. Resection of the lesion is one solution for that, but presurgical planning (PSP) is needed to...
OBJECTIVES
Memory is an important brain function, and is impaired with brain lesions. Resection of the lesion is one solution for that, but presurgical planning (PSP) is needed to guide the surgery for maximum removal of the lesion, as well as maximum preservation of the function. Functional Magnetic Resonance Imaging (fMRI) is one of the best approaches for such a purpose, but performing an fMRI study needs careful consideration of the factors which influence its results. Studies have shown that mental fatigue does have the potential to alter brain functions, and therefore this study aims to identify if mental fatigue should also be considered as a confounding factor when performing an fMRI study, particularly for clinical purposes.
PATIENTS AND METHODS
Using 57 healthy young volunteers, face and word encoding tasks were performed, with half of the participants performing the memory tasks after a set of language tasks and half of them before that.
RESULTS
The results showed that mental fatigue led to increased activity in the bilateral thalamus and caudate in the face encoding task, and in the right thalamus, posterior cingulate and medial temporal lobe in word encoding. In addition, activation was declined with mental fatigue in the left lingual, precuneus, and posterior cingulate gyri in face encoding.
CONCLUSION
This study has shown the importance of the number and sequence of cognitive/mental tasks when performing an fMRI study, which could help to obtain more reliable fMRI maps in clinical applications. This finding is also important for performing research/cognitive studies using fMRI.
Topics: Adult; Brain; Face; Facial Recognition; Female; Functional Neuroimaging; Healthy Volunteers; Humans; Language; Magnetic Resonance Imaging; Male; Memory; Memory, Episodic; Mental Fatigue; Neural Pathways; Neurosurgical Procedures; Preoperative Care; Young Adult
PubMed: 31812031
DOI: 10.1016/j.clineuro.2019.105626 -
Trends in Cognitive Sciences Dec 2023If you are currently feeling tired, you are not alone: feelings of fatigue are incredibly common. In a recent study, Matthews et al. investigated moment-to-moment...
If you are currently feeling tired, you are not alone: feelings of fatigue are incredibly common. In a recent study, Matthews et al. investigated moment-to-moment fluctuations in fatigue using behavioral experiments and computational modeling. The study offers a precise account of how fatigue waxes (during physical and cognitive effort) and wanes (during rest).
Topics: Humans; Emotions; Cognition; Mental Fatigue
PubMed: 37845173
DOI: 10.1016/j.tics.2023.09.007 -
Annals of Behavioral Medicine : a... Mar 2019Exerting cognitive control results in mental fatigue, which is associated with impaired performance during physical endurance tasks. However, there has been little...
BACKGROUND
Exerting cognitive control results in mental fatigue, which is associated with impaired performance during physical endurance tasks. However, there has been little research on the effects of mental fatigue on people's perceptions or behaviors involving lifestyle or recreational exercise.
PURPOSE
The purpose of this study was to examine the effect of mental fatigue on intended physical exertion and exercise performance reflective of current physical activity guidelines.
METHODS
Using a counterbalanced design, participants completed two 50-min experimental manipulations (high vs. low cognitive control exertion) before exercising at a self-selected intensity for 30 min. At visit 1, participants performed a graded exercise task to gain familiarity with a range of exercise intensities and rating of perceived exertion (RPE) while exercising. At visits 2 and 3, participants rated their intended RPE for the exercise session, performed the experimental manipulations, re-rated their intended RPE, and then completed 30-min of exercise on a cycle ergometer. Total work performed while exercising was recorded for each session.
RESULTS
Compared with the low cognitive control condition, the high cognitive control manipulation resulted in significantly greater mental fatigue (d = .73), significantly greater reductions in intended RPE (mean difference = -0.62), and significantly less total work (-12.7 kJ) performed during the exercise session.
CONCLUSIONS
Mental fatigue alters the amount of physical effort people are willing to invest in an exercise workout and follow through with those intentions by doing less work. These are the first results showing people may deliberately adjust their physical effort to cope with mental fatigue.
Topics: Adult; Executive Function; Exercise; Female; Health Behavior; Humans; Intention; Male; Mental Fatigue; Physical Exertion; Young Adult
PubMed: 29985969
DOI: 10.1093/abm/kay052 -
World Neurosurgery Jul 2021Long-term data on neurological and radiological outcome after aneurysmal subarachnoid hemorrhage (aSAH) are scarce. The aim of this study was to report neurological and... (Randomized Controlled Trial)
Randomized Controlled Trial
OBJECTIVE
Long-term data on neurological and radiological outcome after aneurysmal subarachnoid hemorrhage (aSAH) are scarce. The aim of this study was to report neurological and radiological outcome >15 years after aSAH.
METHODS
Patients with aSAH who were randomly assigned to endovascular treatment (EVT) or microsurgical treatment (MST) during 1997-2001 were included. Main end points were neurological outcome assessed by modified Rankin Scale, fatigue assessed by mental fatigue scale, and radiological outcome assessed by magnetic resonance angiography. Results for mental fatigue scale were compared with a control group.
RESULTS
After 15-21 years, 46 (62.2%) of the 74 survivors replied to a questionnaire. Of these patients, 18 received MST, and 28 received EVT. Modified Rankin Scale score of 0-2 was found in 100% of patients in the EVT group and 88.8% of patients in the MST group. Moderate or severe mental fatigue was found in 7/28 patients (25%) in the EVT group and 7/18 patients (38.8%) in the MST group (P < 0.05), whereas moderate or severe mental fatigue was observed in 3/34 patients (8.9%) in the control group. Magnetic resonance angiography was performed in 29 patients. In the EVT group, new neck remnants were found in 2/16 patients (12.5%), and de novo aneurysm was found in 2/16 patients (12.5%). In the MST group, de novo aneurysm was found in 1/13 patients (7.7%).
CONCLUSIONS
Neurological outcome at long-term follow-up after aSAH was good; however, mental fatigue was overrepresented in patients compared with healthy control subjects regardless of treatment modality. Residual or de novo aneurysm was found in 17% of patients warranting radiological long-term follow-up.
Topics: Aged; Cerebral Revascularization; Endovascular Procedures; Endpoint Determination; Female; Follow-Up Studies; Humans; Incidence; Magnetic Resonance Angiography; Magnetic Resonance Imaging; Male; Mental Fatigue; Middle Aged; Neurosurgical Procedures; Recurrence; Subarachnoid Hemorrhage; Treatment Outcome
PubMed: 33831611
DOI: 10.1016/j.wneu.2021.03.148 -
Medicine Dec 2023In modern society, demanding and stressful events contribute to increased fatigue in adults. Moreover, fatigue is the most prevalent symptom of long coronavirus disease...
In modern society, demanding and stressful events contribute to increased fatigue in adults. Moreover, fatigue is the most prevalent symptom of long coronavirus disease 2019. Fatigue is a subjective feeling of tiredness that can be attributed to various causes. This cross-sectional study investigated factors affecting physical and mental fatigue in adults living in South Korea. Self-reported data were collected through an online survey conducted between July 11 and July 17, 2021. The final sample comprised 362 participants, excluding those with uncertain responses. The collected data were analyzed using IBM SPSS version 27.0. General characteristics and variables of the participants were examined through descriptive statistical analysis. Differences in fatigue level according to the general characteristics of the participants were analyzed using t tests and one-way analysis of variance. The correlation between variables was analyzed using Pearson correlation coefficients. To investigate factors affecting fatigue, stepwise multiple regression analysis was conducted. The overall level of fatigue according to participants' general characteristics differed significantly based on alcohol use, economic status, number of chronic diseases, stress, depression, and sleep problems. Factors affecting physical fatigue were depression, sleep problems, General Health Questionnaire (GHQ-12) scores, and number of chronic diseases. The factors affecting mental fatigue were depression, GHQ-12 score, and alcohol use. The variables that had the most significant impact on overall fatigue were alcohol consumption, the number of chronic illnesses, depression, and GHQ-12, in that order. This emphasizes the importance of lifestyle improvement and dietary management in adults for preventing chronic diseases and managing mental health. The results of this study should be considered when planning health services to provide fatigue interventions for Korean adults.
Topics: Adult; Humans; Cross-Sectional Studies; Republic of Korea; Mental Fatigue; Sleep Wake Disorders; Chronic Disease
PubMed: 38115348
DOI: 10.1097/MD.0000000000036549 -
Computers in Biology and Medicine Dec 2023In order to achieve more sensitive mental fatigue assessment (MFA) based on an arbitrary channel EEG, this study proposed a series of feature extraction methods that...
In order to achieve more sensitive mental fatigue assessment (MFA) based on an arbitrary channel EEG, this study proposed a series of feature extraction methods that combine mathematical morphology (MM), as well as an LSTM-CNN architecture. Firstly, 37 subjects had their resting-state EEGs collected at rested wakefulness (RW) and after 24 h of sleep deprivation (SD) using a 30-channel EEG acquisition device, the RW and SD groups were regarded as the negative and positive groups of mental fatigue, respectively, and the EEG collection were further categorized into two conditions: eye-opened state (EO) and eye-closed state (EC). Then, since MM can reflect the morphological characteristics of EEG rhythms and their potentials relatively independently of the time-frequency analysis and phase calculation, the MM methods were found to better reflect the mental fatigue after SD statistically, whether for single features (ANOVA: p<0.000001), multiple features (clustering by K-means, t-test: p<0.01), or time series feature spaces (calculating CD, t-test: p<0.01) of a single channel. Finally, the LSTM-CNN enhanced the generalization ability when dealing with different single-channel EEG by combining GRUs with convolutional layers: comparing the AUCs of different architectures for MFA based on an arbitrary channel, LSTM-CNN (0.992) > LSTM network (0.94) > CNN (0.831) > MLP (0.754). Moreover, the use of MM also improved the accuracy of analyzed architectures, and the true/false positive rate (TPR/FPR) of the LSTM-CNN architecture for MFA based on an arbitrary channel reached 97.024 %/3.497 %, which provided a feasible solution for the arbitrary channel EEG-based MFA.
Topics: Humans; Area Under Curve; Cluster Analysis; Electroencephalography; Mental Fatigue; Time Factors
PubMed: 37950945
DOI: 10.1016/j.compbiomed.2023.107652