Literature DB >> 22032726

Autonomic nervous alterations associated with daily level of fatigue.

Masaaki Tanaka1, Kei Mizuno, Kouzi Yamaguti, Hirohiko Kuratsune, Akira Fujii, Hiromichi Baba, Kazuya Matsuda, Ayako Nishimae, Toshio Takesaka, Yasuyoshi Watanabe.   

Abstract

BACKGROUND: Fatigue is a common symptom in both sick and healthy people. We examined autonomic nervous alterations associated with fatigue to clarify the mechanisms underlying fatigue.
METHODS: The study group consisted of 19 healthy participants who performed a 2-back test for 30 min as a fatigue-inducing mental task session. Before and after the session, they completed the advanced trail making test (ATMT) for 30 min for mental fatigue evaluation, subjective scales to measure fatigue sensation, and underwent electrocardiography to allow assessment of autonomic nerve activities.
RESULTS: After the fatigue-inducing task, the total error counts on the ATMT tended to increase (P = 0.076); the ATMT for total trial counts (P = 0.001), the subjective level of fatigue (P < 0.001), and the % low-frequency power (%LF) (P = 0.035) increased significantly; and the % high-frequency power (%HF) decreased compared with before the fatigue-inducing task although this did not reach the statistical significance (P = 0.170). Although LF measured in absolute units did not change significantly before and after the fatigue-inducing task (P = 0.771), and HF measured in absolute units decreased after the task (P = 0.020). The %LF and LF/HF ratio were positively associated with the daily level of fatigue evaluated using Chalder's fatigue scale. In addition, %HF was negatively associated with the fatigue score.
CONCLUSIONS: Increased sympathetic activity and decreased parasympathetic activity may be characteristic features of both acute and daily levels of fatigue. Our findings provide new perspectives on the mechanisms underlying fatigue.

Entities:  

Mesh:

Year:  2011        PMID: 22032726      PMCID: PMC3214128          DOI: 10.1186/1744-9081-7-46

Source DB:  PubMed          Journal:  Behav Brain Funct        ISSN: 1744-9081            Impact factor:   3.759


Background

Many people experience fatigue after or during a prolonged period of activity [1]. Large community surveys have reported that up to half of the general adult population complains of fatigue [2,3]. In Japan, more than half of the general adult population complains of fatigue, and more than one third of the population suffers from chronic fatigue [4]. Acute fatigue is a normal phenomenon that disappears after a period of rest; in contrast, chronic fatigue is sometimes irreversible and the compensation mechanisms that are useful in reducing acute fatigue are not effective [5]. Therefore, it is important to clarify the mechanisms underlying fatigue, and in particular, long-term fatigue. Fatigue-related alterations of autonomic nerve activities have been reported in patients with chronic fatigue syndrome (CFS) [6-11], multiple sclerosis [12-14], and primary biliary cirrhosis [9,15]. These reports suggest that changes in autonomic nerve activity are related to the mechanisms underlying fatigue. However, this relationship has been demonstrated only in patients with specific diseases and not in healthy subjects. Recently, we demonstrated that decreased parasympathetic activity and increased sympathetic activity were induced in healthy volunteers following a 30-min fatigue-inducing mental task session [16]. As chronic or daily levels of fatigue can be evaluated using a paper-and-pencil questionnaire [17], the relationships between daily levels of fatigue and alterations of autonomic nerve activities may be identified. In addition, we can evaluate acute and daily levels of fatigue simultaneously in the same participants by using previously performed fatigue-inducing and fatigue-evaluating experiments [16]. The aim of the present study was to determine alterations in autonomic nerve activities associated with daily levels of fatigue as well as acute fatigue.

Methods

Participants

Nineteen healthy volunteers (mean age, 43.6 ± 10.1 years; 15 women and 4 men) were enrolled. None of the participants had a history of medical illness. Participants with a history of health problems, taking chronic medication or supplemental vitamins, and those who weighed < 40 kg [18-22] were excluded. Good health was assessed by physical examination, blood pressure, and heart rate. The protocol was approved by the Ethics Committee of Osaka City University, and all participants provided written informed consent.

Experimental design

The day before the experiment, participants finished dinner by 9:00 pm and then fasted overnight. The following morning, they had breakfast before the visit. At 10:00 a.m., after the visit, they started the experiment. Before the start of the experiment, a paper-and-pencil questionnaire was distributed to participants to evaluate their daily level of fatigue. As a fatigue-inducing mental task session, participants performed 2-back test [23] trials for 30 min [24], and as a fatigue-evaluating mental task, they performed the advanced trail making test (ATMT; [25]) for 30 min [24] before and after the fatigue-inducing task session. Just before and after the fatigue-inducing session, they recorded their subjective sensation of fatigue on a visual analogue scale (VAS) from 0 (no fatigue) to 100 (complete exhaustion) [26] and underwent electrocardiography (ECG) with their eyes closed for 1 min while sitting on a chair. VAS and ECG recordings were performed before the ATMT trials. This study was conducted in a quiet, temperature- and humidity-controlled environment. For 1 day before the visit, participants refrained from intense mental and physical activities and caffeinated beverages, consumed a normal diet, and maintained normal sleeping hours.

Questionnaire

A paper-and-pencil questionnaire was distributed to participants. The severity of daily level of fatigue was measured using Chalder's fatigue scale (Chalder et al. 1993), which has been previously used in Japanese participants [27]. The reliability and validity of the Japanese version of Chalder's fatigue scale to evaluate the severity of daily fatigue have been previously confirmed [27]. The fatigue scale consists of 11 questions using a 4-point (0-3) Likert scale that allows the following responses: 0 = less than usual; 1 = no more than usual; 2 = more than usual; 3 = much more than usual during the past several weeks. The total score for the 11-item fatigue scale ranges from 0 to 33, with higher scores indicating a greater degree of daily fatigue.

Fatigue-inducing mental task

As a fatigue-inducing mental task, participants performed the 2-back test for 30 min [24]. During this task, one of four letters was presented on a display of a personal computer every 3 sec, and they had to judge whether the target letter presented at the center of the screen was the same as the one that had appeared 2 presentations before. If it was, they were to press the right mouse button with their right middle finger; if it was not, they were to press the left mouse button with their right index finger. They were instructed to perform the task trials as quickly and as correctly as possible. The results of each 2-back trial, that is, a correct response or error, were continuously presented on the display of the personal computer.

Fatigue-evaluating mental task

As a fatigue-evaluating mental task, participants performed the ATMT for 30 min [24]. In this test, circles numbered from 1 to 25 were randomly placed on the display of a personal computer, and participants were required to use a computer mouse to touch these circles in sequence, starting with number 1. Tasks A, B, and C all ended when they touched the 25th target. They continued directly with the next Tasks B, C, and A, in that order, on and on for 30 min. The number of hits counted and the time were counted. In task A of the ATMT, when they touched a target circle, it remained in the same position, but the color changed from black to yellow. The positions of the other circles remained the same. In task B of the ATMT, when they touched the first target circle, it disappeared, and circle number 26 appeared in a different position on the screen. The positions of the other circles remained the same. For example, touching circles 2, 3, and 4 resulted in their disappearance and the addition of circles 27, 28, and 29 on the screen, so that there were always 25 circles on the screen. In task C of the ATMT, when they touched the first target circle, it disappeared and circle number 26 appeared in a different position on the screen and the position of all other circles changed at random. As in task B, there were always 25 circles on the screen. Participants performed tasks A, B, and C consecutively. They were instructed to perform all task trials as quickly and as correctly as possible.

Electrocardiographic analyses

ECG was recorded using active tracer AC301 (Global Medical Solution Inc., Tokyo, Japan), and the ECG was analyzed using MemCalc for Windows (Global Medical Solution Inc.). Data were analyzed offline after analogue-to-digital conversion at 250 Hz. R-R wave. Irregularities in the ECG recordings were excluded from the analyses. Variability was measured as an indicator of autonomic nerve activity. For frequency domain analyses of the R-R wave intervals, the percent of low-frequency power (LF) was calculated as the power within the frequency range of 0.04 to 0.15 Hz, and the percent of high-frequency power (HF) was calculated as that within the frequency range of 0.15 to 0.4 Hz. LF and HF were measured in absolute and normalized units; normalization was performed by dividing the absolute power by the total variance and then multiplying by 100. The %HF is vagally mediated [28-30], but the %LF originates from a variety of sympathetic and vagal mechanisms [28,31]. The LF/HF ratio represents the sympathetic to parasympathetic balance [32].

Statistical analysis

Values are shown as mean ± SD unless otherwise noted. Paired t-tests were used to evaluate the differences before and after the mental fatigue-inducing task as for the ATMT performances and VAS scores and Wilcoxon's signed rank tests as for the indices of the heart rate variability. Pearson's correlation analyses were conducted to evaluate relationships between two variables. All P values were 2-tailed, and P values less than 0.05 were considered statistically significant. Statistical analyses were performed using SPSS 17.0 software package (SPSS Inc., Chicago, IL).

Results

Task performances, subjective level of fatigue, and ECG variables before and after the fatigue-inducing mental task are shown in Table 1. After the fatigue-inducing task, the total error counts of the ATMT during the fatigue-evaluating mental task tended to increase compared with before the fatigue-inducing task, although differences did not reach statistical significance (P = 0.076). In addition, after the fatigue-inducing task, the total trial counts (sum of the counts to touch the circles in sequence) of the ATMT (P = 0.001) indicating that they became faster after the fatigue-inducing task, subjective level of fatigue (P < 0.001), and %LF (P = 0.035) increased significantly, whereas %HF decreased although this did not reach statistical significance (P = 0.170). Although LF measured in absolute units did not change significantly before and after the fatigue-inducing task (P = 0.771), HF measured in absolute units decreased after the task (P = 0.020). The LF/HF ratio did not change significantly before and after the fatigue-inducing task (P = 0.805).
Table 1

Effect of acute mental fatigue on various parameters

BeforeAfterP value
ATMT for total error counts16 ± 1920 ± 260.076
ATMT for total trial counts305 ± 53325 ± 450.001
VAS for fatigue21 ± 1347 ± 20< 0.001
ECG variables
 %LF38 ± 1648 ± 180.035
 %HF40 ± 2033 ± 170.170
 LF/HF3.4 ± 7.13.0 ± 3.80.396

Data are mean ± SD.

ATMT, advanced trail making test; VAS, visual analogue scale; ECG, electrocardiography; %LF, % low-frequency power; %HF, % high-frequency power.

Effect of acute mental fatigue on various parameters Data are mean ± SD. ATMT, advanced trail making test; VAS, visual analogue scale; ECG, electrocardiography; %LF, % low-frequency power; %HF, % high-frequency power. Relationships between Chalder's fatigue scale score and task performances on the ATMT before the fatigue-inducing mental task are shown in Figure 1. The total error and trial counts were not associated with the Chalder's fatigue scale score.
Figure 1

Relationships between Chalder's fatigue scale score and task performances. The task performances were assessed using total error counts (a) and total trial counts (b) of the fatigue-evaluating mental task. Linear regression lines, Pearson's correlation coefficients (R), and P values are shown.

Relationships between Chalder's fatigue scale score and task performances. The task performances were assessed using total error counts (a) and total trial counts (b) of the fatigue-evaluating mental task. Linear regression lines, Pearson's correlation coefficients (R), and P values are shown. Relationships between Chalder's fatigue scale score and ECG variables before the fatigue-inducing mental task are shown in Figure 2. %LF and LF/HF ratio were positively associated with the Chalder's fatigue scale score, and %HF was negatively associated with the fatigue score.
Figure 2

Relationships between Chalder's fatigue scale score and autonomic nerve activities. Autonomic nerve activities were evaluated using the % low-frequency power (%LF; a), % high-frequency power (%HF; b), and LF/HF ratio (c) obtained on R-R wave interval analyses using electrocardiography. Linear regression lines, Pearson's correlation coefficients (R), and P values are shown.

Relationships between Chalder's fatigue scale score and autonomic nerve activities. Autonomic nerve activities were evaluated using the % low-frequency power (%LF; a), % high-frequency power (%HF; b), and LF/HF ratio (c) obtained on R-R wave interval analyses using electrocardiography. Linear regression lines, Pearson's correlation coefficients (R), and P values are shown.

Discussion

The present study showed that, after an acute fatigue-inducing mental task, subjective levels of fatigue, %LF, and total error counts on the ATMT (tendency) increased and %HF decreased (although this did not reach statistical signigicance) compared with before the fatigue-inducing task. In addition, %LF and LF/HF ratio were positively, and %HF was negatively associated with the Chalder's fatigue scale score. These findings are consistent with the results of our previous report [27], in which decreased parasympathetic and increased sympathetic activities were caused after a 30-min fatigue-inducing mental task. The brain network, including the prefrontal cortex (PFC) and anterior cingulate cortex (ACC), has been shown to play an important role in the regulation of autonomic nervous activities [33]. Decreased parasympathetic activity and increased sympathetic activity are interpreted as a state of autonomic hypervigilance [34,35], and sympathoexcitatory subcortical circuits are normally under the inhibitory control of the PFC [34-36]. In addition, the ACC is related to the regulation of parasympathetic activity [37,38]. Because impaired selective attention assessed by increased error counts of the ATMT [24] was observed after the fatigue-inducing task, and the selective attention process activates the PFC and ACC [39-42], acute mental load might introduce temporary dysfunctions in the PFC and ACC to cause decreased parasympathetic and increased sympathetic activities. Decreased parasympathetic nerve activity and increased sympathetic activity have also been observed in patients with CFS [10,11,43]. Because bilateral reduction of grey-matter volume in the PFC [44] and decreased cerebral blood flow [45] and reduction of serotonin transporters [46] in the ACC were reported in the patients with CFS, decreased parasympathetic and increased sympathetic activities may be induced by the chronic anatomical and/or functional alterations in the PFC and ACC in these patients. Hence, chronic fatigue is characterized as decreased parasympathetic and increased sympathetic activities, and the pathophysiological background may be explained by chronic alterations in the PFC and ACC.

Limitations

The present study has several limitations. First, the study included a small number of participants. In addition, we did not obtain the information as for such as smoking habit or lifestyles, and a great majority of women was included maybe because we recruited the participants via advertisement. Studies involving a larger number of participants and more detailed information regarding the participants are needed to allow for generalization of these results. Second, conclusions about cause-and-effect relationships cannot be made due to the cross-sectional nature of the data. Third, heart variability indices are measures of autonomic modulation of the sinus node-not autonomic tone. Heart rate variability indices must be interpreted in light of the heart rate itself. Finally, the daily level of fatigue was evaluated using self-reports, and as such, was subjective. An objective biomarker for daily level of fatigue has been developed [47]. The number of saliva human herpesvirus (HHV)-6 DNA copies was decreased after holidays for approximately 1 week [47]. The reliability and validity of the results of this study should be confirmed using this biomarker.

Conclusions

The present results provide evidence that increased sympathetic activity and decreased parasympathetic activity are associated with both the acute and daily level of fatigue. Because increased sympathetic activity and decreased parasympathetic activity have been reported in patients with CFS [10,11,43], these alterations of the autonomic nerve activities may be common characteristics of fatigue. Based on these findings, transitional mechanisms from acute fatigue to chronic fatigue and chronic fatigue to chronic fatigue-associated disease might be clarified. Our findings provide new perspectives on the mechanisms underlying fatigue.

List of abbreviations

ACC: Anterior cingulate cortex; ATMT: Advanced trail making test; CFS: chronic fatigue syndrome; ECG: Electrocardiography; HF: High-frequency power; HHV: Human herpesvirus; LF: Low-frequency power; PFC: Prefrontal cortex; VAS: Visual analogue scale.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

MT took part in planning and designing the experiment and cognitive tests, collected the data, performed the data analyses and drafted the manuscript. KM, KY, and HK contributed to the design, planning of experiment and cognitive tests, and helped performing the data analyses. AF, HB, AN, and TT contributed to the design, planning of experiment, and collected the data. YW took part in the planning and designing the experiment and cognitive tests and helped drafting the manuscript. All authors read and approved the final manuscript.
  43 in total

1.  Frontal midline theta rhythm is correlated with cardiac autonomic activities during the performance of an attention demanding meditation procedure.

Authors:  Y Kubota; W Sato; M Toichi; T Murai; T Okada; A Hayashi; A Sengoku
Journal:  Brain Res Cogn Brain Res       Date:  2001-04

Review 2.  Beat to beat variability in cardiovascular variables: noise or music?

Authors:  M L Appel; R D Berger; J P Saul; J M Smith; R J Cohen
Journal:  J Am Coll Cardiol       Date:  1989-11-01       Impact factor: 24.094

Review 3.  Beyond heart rate variability: vagal regulation of allostatic systems.

Authors:  Julian F Thayer; Esther Sternberg
Journal:  Ann N Y Acad Sci       Date:  2006-11       Impact factor: 5.691

4.  Antifatigue effects of coenzyme Q10 during physical fatigue.

Authors:  Kei Mizuno; Masaaki Tanaka; Satoshi Nozaki; Hiroshi Mizuma; Suzuka Ataka; Tsuyoshi Tahara; Tomohiro Sugino; Tomoko Shirai; Yoshitaka Kajimoto; Hirohiko Kuratsune; Osami Kajimoto; Yasuyoshi Watanabe
Journal:  Nutrition       Date:  2008-02-13       Impact factor: 4.008

5.  Mental and physical fatigue-related biochemical alterations.

Authors:  Satoshi Nozaki; Masaaki Tanaka; Kei Mizuno; Suzuka Ataka; Hiroshi Mizuma; Tsuyoshi Tahara; Tomohiro Sugino; Tomoko Shirai; Asami Eguchi; Kaori Okuyama; Kaoru Yoshida; Yoshitaka Kajimoto; Hirohiko Kuratsune; Osami Kajimoto; Yasuyoshi Watanabe
Journal:  Nutrition       Date:  2008-10-02       Impact factor: 4.008

6.  Brain regions involved in fatigue sensation: reduced acetylcarnitine uptake into the brain.

Authors:  Hirohiko Kuratsune; Kouzi Yamaguti; Gudrun Lindh; Birgitta Evengård; Gisela Hagberg; Kiyoshi Matsumura; Masao Iwase; Hirotaka Onoe; Mamoru Takahashi; Takashi Machii; Yuzuru Kanakura; Teruo Kitani; Bengt Långström; Yasuyoshi Watanabe
Journal:  Neuroimage       Date:  2002-11       Impact factor: 6.556

7.  Daily oral administration of crocetin attenuates physical fatigue in human subjects.

Authors:  Hiroshi Mizuma; Masaaki Tanaka; Satoshi Nozaki; Kei Mizuno; Tsuyoshi Tahara; Suzuka Ataka; Tomohiro Sugino; Tomoko Shirai; Yoshitaka Kajimoto; Hirohiko Kuratsune; Osami Kajimoto; Yasuyoshi Watanabe
Journal:  Nutr Res       Date:  2009-03       Impact factor: 3.315

8.  Sympathetic predominance of cardiovascular regulation during mild orthostatic stress in adolescents with chronic fatigue.

Authors:  Vegard B Wyller; J P Saul; Jan P Amlie; Erik Thaulow
Journal:  Clin Physiol Funct Imaging       Date:  2007-07       Impact factor: 2.273

9.  Autonomic function and serum erythropoietin levels in chronic fatigue syndrome.

Authors:  Andrea S Winkler; Dorothy Blair; Joanne T Marsden; Timothy J Peters; Simon Wessely; Anthony J Cleare
Journal:  J Psychosom Res       Date:  2004-02       Impact factor: 3.006

10.  Population based study of fatigue and psychological distress.

Authors:  T Pawlikowska; T Chalder; S R Hirsch; P Wallace; D J Wright; S C Wessely
Journal:  BMJ       Date:  1994-03-19
View more
  27 in total

1.  In vivo β-adrenergic receptor responsiveness: ethnic differences in the relationship with symptoms of depression and fatigue.

Authors:  Frank Euteneuer; Michael G Ziegler; Paul J Mills; Winfried Rief; Joel E Dimsdale
Journal:  Int J Behav Med       Date:  2014

2.  Neural effects of viewing children's faces on mental fatigue: a magnetoencephalography study.

Authors:  Takashi Matsuo; Akira Ishii; Takahiro Yoshikawa
Journal:  Exp Brain Res       Date:  2022-09-16       Impact factor: 2.064

3.  Lowering the Sampling Rate: Heart Rate Response during Cognitive Fatigue.

Authors:  Kar Fye Alvin Lee; Elliot Chan; Josip Car; Woon-Seng Gan; Georgios Christopoulos
Journal:  Biosensors (Basel)       Date:  2022-05-10

Review 4.  The Link Between Energy-Related Sensations and Metabolism: Implications for Treating Fatigue.

Authors:  Marco Filippi; Rainer Krähenmann; Patrick Fissler
Journal:  Front Psychol       Date:  2022-06-21

5.  Does fatigue in Parkinson's disease correlate with autonomic nervous system dysfunction?

Authors:  Enrica Olivola; Livia Brusa; Camilla Rocchi; Orazio Schillaci; Claudio Liguori; Rocco Cerroni; Mariangela Pierantozzi; Agostino Chiaravalloti; Alessandro Stefani; Fabrizio Stocchi
Journal:  Neurol Sci       Date:  2018-09-25       Impact factor: 3.307

6.  Autonomic Nervous System Functioning Related to Nocturnal Sleep in Patients With Chronic Fatigue Syndrome Compared to Tired Controls.

Authors:  Maija Orjatsalo; Anniina Alakuijala; Markku Partinen
Journal:  J Clin Sleep Med       Date:  2018-02-15       Impact factor: 4.062

Review 7.  Frontier studies on fatigue, autonomic nerve dysfunction, and sleep-rhythm disorder.

Authors:  Masaaki Tanaka; Seiki Tajima; Kei Mizuno; Akira Ishii; Yukuo Konishi; Teruhisa Miike; Yasuyoshi Watanabe
Journal:  J Physiol Sci       Date:  2015-09-29       Impact factor: 2.781

8.  Effects of nutritional supplementation on fatigue, and autonomic and immune dysfunction in patients with end-stage renal disease: a randomized, double-blind, placebo-controlled, multicenter trial.

Authors:  Sanae Fukuda; Hidenori Koyama; Kazuhiro Kondo; Hisako Fujii; Yoshinobu Hirayama; Tsutomu Tabata; Mikio Okamura; Tomoyuki Yamakawa; Shigeki Okada; Sumio Hirata; Hiroshi Kiyama; Osami Kajimoto; Yasuyoshi Watanabe; Masaaki Inaba; Yoshiki Nishizawa
Journal:  PLoS One       Date:  2015-03-06       Impact factor: 3.240

9.  Effects of Daily Matcha and Caffeine Intake on Mild Acute Psychological Stress-Related Cognitive Function in Middle-Aged and Older Adults: A Randomized Placebo-Controlled Study.

Authors:  Yoshitake Baba; Shun Inagaki; Sae Nakagawa; Makoto Kobayashi; Toshiyuki Kaneko; Takanobu Takihara
Journal:  Nutrients       Date:  2021-05-17       Impact factor: 5.717

10.  Fatigue sensation induced by the sounds associated with mental fatigue and its related neural activities: revealed by magnetoencephalography.

Authors:  Akira Ishii; Masaaki Tanaka; Masayoshi Iwamae; Chongsoo Kim; Emi Yamano; Yasuyoshi Watanabe
Journal:  Behav Brain Funct       Date:  2013-06-13       Impact factor: 3.759

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.