Basal ganglia correlates of fatigue in young adults
Open accessAbstract
Although the prevalence of chronic fatigue is approximately 20% in healthy individuals, there are no studies of brain structure that elucidate the neural correlates of fatigue outside of clinical subjects. We hypothesized that fatigue without evidence of disease might be related to changes in the basal ganglia and prefrontal cortex and be implicated in fatigue with disease. We aimed to identify the white matter structures of fatigue in young subjects without disease using magnetic resonance imaging (MRI). Healthy young adults (n = 883; 489 males and 394 females) were recruited. As expected, the degrees of fatigue and motivation were associated with larger mean diffusivity (MD) in the right putamen, pallidus and caudate. Furthermore, the degree of physical activity was associated with a larger MD only in the right putamen. Accordingly, motivation was the best candidate for widespread basal ganglia, whereas physical activity might be the best candidate for the putamen. A plausible mechanism of fatigue may involve abnormal function of the motor system, as well as areas of the dopaminergic system in the basal ganglia that are associated with motivation and reward.
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Activity in certain basal ganglionic areas has been correlated with motivation versus physical fatigue, namely widespread throughout the basal ganglia in the former and in the putamen for the latter.
“Further, activity in certain basal ganglionic areas has been correlated with motivation versus physical fatigue, namely widespread throughout the basal ganglia in the former and in the putamen for the latter.27”
From A Review of Movement and Functional Impairments in Fibromyalgia: Implications for Targeted Treatment (2025) · cites this paper as [27]
The Results (MRI data; page unavailable) report that motivation scores correlated with mean diffusivity across the right putamen, pallidum and caudate, while physical-activity scores correlated with mean diffusivity only in the right putamen. This supports the regional distinction, but the study measured a structural MRI property, not basal-ganglia activity, and assessed physical activity rather than physical fatigue. (LLM, conf=0.90)
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Cites
Learning in the fast lane: new insights into neuroplasticity
Sagi, Y., Tavor, I., Hofstetter, S., Tzur-Moryosef, S., Blumenfeld-Katzir, T., & Assaf, Y. (2012) · Neuron · doi:10.1016/j.neuron.2012.01.025 · Cited by 517 · see citing works
Functional neuroimaging of fatigue
DeLuca, J., Genova, H. M., Capili, E. J., & Wylie, G. R. (2009) · Physical Medicine and Rehabilitation Clinics of North America · doi:10.1016/j.pmr.2008.12.007 · Cited by 91 · see citing works
Flagged first, then by citations
Research works printed but not linked: 55
- Pigeon W. R., Sateia M. J. & Ferguson R. J. Distinguishing between excessive daytime sleepiness and fatigue: toward improved detection and treatment. J Psychosom Res 54, 61– 69 (2003). 12505556
- Watanabe T., Evengård B., Natelson B. H., Jason L. A. & Kuratsune H. Preface and mini-review: fatigue science for human health. 5– 11 (Springer, 2007).
- Mizuno K. et al. Mental fatigue caused by prolonged cognitive load associated with sympathetic hyperactivity. Behav Brain Funct 7, 17 (2011). 21605411 PMC3113724
- Armon G., Melamed S., Toker S., Berliner S. & Shapira I. Joint effect of chronic medical illness and burnout on depressive symptoms among employed adults. Health Psychol 33, 264– 272 (2014). 23895204
- Hiyama T. & Yoshihara M. New occupational threats to Japanese physicians: karoshi (death due to overwork) and karojisatsu (suicide due to overwork). Occup Environ Med 65, 428– 429 (2008). 18487428
- Thorsteinsson E. B. & Brown R. F. Mediators and moderators of the stressor-fatigue relationship in nonclinical samples. J Psychosom Res. 66, 21– 29 (2009). 19073289
- Lee Y.-C., Chien K.-L. & Chen H.-H. Lifestyle risk factors associated with fatigue in graduate students. J Formos Med Assoc 106, 565– 572 (2007). 17660146
- Chaudhuri A. & Behan P. O. Fatigue and basal ganglia. J Neurol Sci 179, 34– 42 (2000). 11054483
- Boksem M. A. & Tops M. Mental fatigue: costs and benefits. Brain Res Rev 59, 125– 139 (2008). 18652844
- Morita K., Morishima M., Sakai K. & Kawaguchi Y. Dopaminergic control of motivation and reinforcement learning: a closed-circuit account for reward-oriented behavior. J Neurosci 33, 8866– 8890 (2013). 23678129 PMC6618820
- Arias-Carrion O. & Poppel E. Dopamine, learning, and reward-seeking behavior. Acta Neurobiol Exp 67, 481– 488 (2007). 18320725
- Lorist M. M. et al. The influence of mental fatigue and motivation on neural network dynamics; an EEG coherence study. Brain Res 1270, 95– 106 (2009). 19306850
- Tanaka M. et al. Reduced responsiveness is an essential feature of chronic fatigue syndrome: a fMRI study. BMC Neurol 6, 9 (2006). 16504053 PMC1397862
- Suda M. et al. Subjective feeling of psychological fatigue is related to decreased reactivity in ventrolateral prefrontal cortex. Brain Res 1252, 152– 160 (2009). 19070603
- Cook D. B., O’Connor P. J., Lange G. & Steffener J. Functional neuroimaging correlates of mental fatigue induced by cognition among chronic fatigue syndrome patients and controls. Neuroimage 36, 108– 122 (2007). 17408973
- Tajima S. et al. Medial orbitofrontal cortex is associated with fatigue sensation. Neurol Res Int 2010, 671421 (2010). 21188225 PMC3003967
- de Lange F. P. et al. Gray matter volume reduction in the chronic fatigue syndrome. Neuroimage 26, 777– 781 (2005). 15955487
- Barnden L. R. et al. A brain MRI study of chronic fatigue syndrome: evidence of brainstem dysfunction and altered homeostasis. NMR Biomed 24, 1302– 1312 (2011). 21560176 PMC4369126
- Inglese M. et al. Deep gray matter perfusion in multiple sclerosis: dynamic susceptibility contrast perfusion magnetic resonance imaging at 3 T. Arch Neurol 64, 196– 202 (2007). 17296835
- Pellicano C. et al. Relationship of cortical atrophy to fatigue in patients with multiple sclerosis. Arch Neurol 67, 447– 453 (2010). 20385911
- Isella V. et al. Clinical, neuropsychological, and morphometric correlates of apathy in Parkinson’s disease. Mov Disord 17, 366– 371 (2002). 11921125
- Puri B. K. et al. Reduction in left supplementary motor area grey matter in adult female fibromyalgia sufferers with marked fatigue and without affective disorder: a pilot controlled 3-T magnetic resonance imaging voxel-based morphometry study. J Int Med Res 38, 1468– 1472 (2010). 20926020
- Peran P. et al. Magnetic resonance imaging markers of Parkinson’s disease nigrostriatal signature. Brain 133, 3423– 3433 (2010). 20736190
- Lewis G. & Wessely S. The epidemiology of fatigue: more questions than answers. J Epidemiol Community Health 46, 92– 97 (1992). 1583440 PMC1059513
- Lee Y. C., Chien K. L. & Chen H. H. Lifestyle risk factors associated with fatigue in graduate students. J Formos Med Assoc 106, 565– 572 (2007). 17660146
- Le Bihan D. et al. Diffusion tensor imaging: concepts and applications. J Magn Reson Imaging 13, 534– 546 (2001). 11276097
- Acosta-Cabronero J., Williams G. B., Pengas G. & Nestor P. J. Absolute diffusivities define the landscape of white matter degeneration in Alzheimer’s disease. Brain 133, 529– 539 (2010). 19914928
- Johansen-Berg H., Baptista C. S. & Thomas A. G. Human structural plasticity at record speed. Neuron 73, 1058– 1060 (2012). 22445333 PMC3353540
- Muranishi M. et al. Inactivation of the putamen selectively impairs reward history-based action selection. Exp Brain Res 209, 235– 246 (2011). 21298425 PMC3041916
- Kimura M., Yamada H. & Matsumoto N. Tonically active neurons in the striatum encode motivational contexts of action. Brain Dev 25 Suppl 1, S20– 23 (2003). 14980367
- Balleine B. W. & O’Doherty J. P. Human and rodent homologies in action control: corticostriatal determinants of goal-directed and habitual action. Neuropsychopharmacology 35, 48– 69 (2010). 19776734 PMC3055420
- Durieux P. F., Schiffmann S. N. & de Kerchove d’Exaerde A. Targeting neuronal populations of the striatum. Front Neuroanat 5, 40 (2011). 21811438 PMC3139926
- Smith K. S., Tindell A. J., Aldridge J. W. & Berridge K. C. Ventral pallidum roles in reward and motivation. Behav Brain Res 196, 155– 167 (2009). 18955088 PMC2606924
- O’Connor P. J. Mental energy: Assessing the mood dimension. Nutr Rev 64, S7– 9 (2006). 16910215
- Takeuchi H. & Kawashma R. Neural bases of individual differences of creativity measured by the divergent thinking test. Association for Psychological Science 25th Annual Convention, Washington DC, US symposium, invited (24th May, 2013).
- Radley J. J. & Morrison J. H. Repeated stress and structural plasticity in the brain. Ageing Res Rev 4, 271– 287 (2005). 15993654
- Tanaka M., Ishii A. & Watanabe Y. Neural mechanisms underlying chronic fatigue. Rev Neurosci 24, 617– 628 (2013). 24114898
- Kawaguchi H. et al. Relation between dopamine synthesis capacity and cell-level structure in human striatum: a multi-modal study with positron emission tomography and diffusion tensor imaging. PloS one 9, e87886 (2014). 24498218 PMC3909269
- Dobryakova E., Genova H. M., DeLuca J. & Wylie G. R. The dopamine imbalance hypothesis of fatigue in multiple sclerosis and other neurological disorders. Front Neurol 6, 52 (2015). 25814977 PMC4357260
- Oldfield R. C. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9, 97– 113 (1971). 5146491
- Vercoulen J. H. et al. Dimensional assessment of chronic fatigue syndrome. J Psychosom Res 38, 383– 392 (1994). 7965927
- Beurskens A. J. et al. Fatigue among working people: validity of a questionnaire measure. Occup Environ Med 57, 353– 357 (2000). 10769302 PMC1739950
- Prins J. B. et al. Cognitive behaviour therapy for chronic fatigue syndrome: a multicentre randomised controlled trial. Lancet 357, 841– 847 (2001). 11265953
- The G. K., Bleijenberg G. & van der Meer J. W. The effect of acclydine in chronic fatigue syndrome: a randomized controlled trial. PLoS Clin Trials 2, e19 (2007). 17525791 PMC1876596
- Aratake Y. et al. Development of Japanese version of the checklist individual strength questionnaire in a working population. J Occup Health 49, 453– 460 (2007). 18075205
- Bultmann U. et al. Measurement of prolonged fatigue in the working population: determination of a cutoff point for the checklist individual strength. J Occup Health Psychol 5, 411– 416 (2000). 11051524
- Raven J. Manual for Raven’s progressive matrices and vocabulary scales (Oxford Psychologists Press, Oxford, 1998).
- Colom R., Jung R. E. & Haier R. J. Distributed brain sites for the g-factor of intelligence. Neuroimage 31, 1359– 1365 (2006). 16513370
- Haier R. J., Jung R. E., Yeo R. A., Head K. & Alkire M. T. Structural brain variation and general intelligence. Neuroimage 23, 425– 433 (2004). 15325390
- Jung R. E. & Haier R. J. The Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence. Behav Brain Sci 30, 135– 154 (2007). 17655784
- Narr K. L. et al. Relationships between IQ and regional cortical gray matter thickness in healthy adults. Cereb Cortex 17, 2163– 2171 (2007). 17118969
- Toga A. W. & Thompson P. M. Genetics of brain structure and intelligence. Annu Rev Neurosci 28, 1– 23 (2005). 15651931
- Takeuchi H. et al. The Impact of Television Viewing on Brain Structures: Cross-Sectional and Longitudinal Analyses. Cereb Cortex 25, 1188– 1197 (2013). 24256892
- Netsch T. & Van Muiswinkel A. Quantitative evaluation of image-based distortion correction in diffusion tensor imaging. IEEE Trans Med Imaging 23, 789– 798 (2004). 15250631
- Casanova R. et al. Biological parametric mapping: A statistical toolbox for multimodality brain image analysis. Neuroimage 34, 137– 143 (2007). 17070709 PMC1994117
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A Review of Movement and Functional Impairments in Fibromyalgia: Implications for Targeted Treatment
Quodling, N., Hoffman, N., Carrick, F., & Jemni, M. (2025) · Journal of Pain Research · doi:10.2147/jpr.s543775 · Cited by 5 · see citing works
- Authors
- Nakagawa, S., Takeuchi, H., Taki, Y., Nouchi, R., Kotozaki, Y., Shinada, T., Maruyama, T., Sekiguchi, A., Iizuka, K., Yokoyama, R., Yamamoto, Y., Hanawa, S., Araki, T., Miyauchi, C. M., Magistro, D., Sakaki, K., Jeong, H., Sasaki, Y., & Kawashima, R.
- Affiliations
- Tohoku University (JP)
- Corresponding author
- Nakagawa, Seishu
- ORCID
- Venue
- Scientific Reports
- Published
- 2016-02-19
- Volume
- 6
- Issue
- 1
- Pages
- 21386-21386
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC4759547
- OpenAlex
- W2276401059
- Cited by
- 52
- References
- 2
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 5 · 2023: 4 · 2022: 12 · 2021: 7 · 2020: 2 · 2019: 8 · 2018: 5 · 2017: 2
- FWCI
- 4.44
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ePrints Soton (University of Southampton) (acceptedVersion)
- Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (acceptedVersion)
- Funders
- Japan Society for the Promotion of Science (23700306, 25700012, CREST)
- Core Research for Evolutional Science and Technology (KAKENHI 23700306, 25700012, 23700306)
- Research Institute of Science and Technology for Society (KAKENHI 23700306, 25700012)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Fibromyalgia and Chronic Fatigue Syndrome Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- chronic fatigue, basal ganglia, white matter microstructure, mean diffusivity, putamen, globus pallidus, caudate nucleus, motivation, physical activity, young adults, dopaminergic system, reward, prefrontal cortex
- MeSH terms
- Adolescent, Adult, Age Factors, Basal Ganglia, Fatigue, Female, Humans, Magnetic Resonance Imaging, Male, Motivation, Sex Factors, Young Adult
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