The associations of BMI with mean diffusivity of basal ganglia among young adults with mild obesity and without obesity.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
28 07 2020
Historique:
received: 12 04 2019
accepted: 09 07 2020
entrez: 30 7 2020
pubmed: 30 7 2020
medline: 15 12 2020
Statut: epublish

Résumé

Obesity causes a wide range of systemic diseases and is associated with mood and anxiety disorders. It is also associated with dopaminergic reward system function. However, the relationships between microstructural properties of the dopaminergic system and body mass index (BMI) have not been investigated. In this study, we investigated the associations of BMI with mean diffusivity (MD), diffusion tensor imaging measure in areas of the dopaminergic system (MDDS) in 435 healthy young adults with mild obesity and without obesity (BMI < 40). We detected the association between greater BMI and lower MD of the right globus pallidus and the right putamen. These results suggest that the property of the dopaminergic system is associated with BMI among young adults with mild obesity and without obesity.

Identifiants

pubmed: 32724120
doi: 10.1038/s41598-020-69438-5
pii: 10.1038/s41598-020-69438-5
pmc: PMC7387490
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

12566

Références

Wang, G.-J. et al. Brain dopamine and obesity. The Lancet 357, 354–357 (2001).
Luppino, F. S. et al. Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch. Gen. Psychiatry 67, 220–229 (2010).
pubmed: 20194822
Volkow, N. D., Wang, G.-J. & Baler, R. D. Reward, dopamine and the control of food intake: implications for obesity. Trends Cognit. Sci. 15, 37–46 (2011).
Ziauddeen, H., Farooqi, I. S. & Fletcher, P. C. Obesity and the brain: how convincing is the addiction model?. Nat. Rev. Neurosci. 13, 279–286 (2012).
pubmed: 22414944
Bowirrat, A. & Oscar-Berman, M. Relationship between dopaminergic neurotransmission, alcoholism, and reward deficiency syndrome. Am. J. Med. Genet. Part B Neuropsychiatr. Genet. 132, 29–37 (2005).
Davis, C. & Fox, J. Sensitivity to reward and body mass index (BMI): evidence for a non-linear relationship. Appetite 50, 43–49 (2008).
pubmed: 17614159
Stice, E., Yokum, S., Burger, K. S., Epstein, L. H. & Small, D. M. Youth at risk for obesity show greater activation of striatal and somatosensory regions to food. J. Neurosci. 31, 4360–4366 (2011).
pubmed: 21430137 pmcid: 3260083
Stoeckel, L. E. et al. Widespread reward-system activation in obese women in response to pictures of high-calorie foods. Neuroimage 41, 636–647 (2008).
pubmed: 18413289
Volkow, N. D. et al. “Nonhedonic” food motivation in humans involves dopamine in the dorsal striatum and methylphenidate amplifies this effect. Synapse 44, 175–180 (2002).
pubmed: 11954049
Szczypka, M. S. et al. Dopamine production in the caudate putamen restores feeding in dopamine-deficient mice. Neuron 30, 819–828 (2001).
pubmed: 11430814
Guo, J., Simmons, W. K., Herscovitch, P., Martin, A. & Hall, K. D. Striatal dopamine D2-like receptor correlation patterns with human obesity and opportunistic eating behavior. Mol. Psychiatry 19, 1078–1084 (2014).
pubmed: 25199919 pmcid: 4189966
Xu, J., Li, Y., Lin, H., Sinha, R. & Potenza, M. N. Body mass index correlates negatively with white matter integrity in the fornix and corpus callosum: a diffusion tensor imaging study. Hum. Brain Mapp. 34, 1044–1052 (2013).
pubmed: 22139809
Taki, Y. et al. Relationship between body mass index and gray matter volume in 1,428 healthy individuals. Obesity 16, 119–124 (2008).
pubmed: 18223623
Schellekens, H., Finger, B. C., Dinan, T. G. & Cryan, J. F. Ghrelin signalling and obesity: at the interface of stress, mood and food reward. Pharmacol. Ther. 135, 316–326 (2012).
pubmed: 22749794
Alfaro, F. J. et al. White matter microstructure and cognitive decline in metabolic syndrome: a review of diffusion tensor imaging. Metabolism 78, 52–68 (2018).
pubmed: 28920863
Takeuchi, H. et al. Verbal working memory performance correlates with regional white matter structures in the fronto-parietal regions. Neuropsychologia 49, 3466–3473 (2011).
pubmed: 21906608
Wandell, B. A. Clarifying human white matter. Annu. Rev. Neurosci. 39, 103–128 (2016).
pubmed: 27050319
Assaf, Y. & Pasternak, O. Diffusion tensor imaging (DTI)-based white matter mapping in brain research: a review. J. Mol. Neurosci. 34, 51–61 (2008).
pubmed: 18157658
Sagi, Y. et al. Learning in the fast lane: new insights into neuroplasticity. Neuron 73, 1195–1203 (2012).
pubmed: 22445346
Ni, J. et al. Regional diffusion changes of cerebral grey matter during normal aging—a fluid-inversion prepared diffusion imaging study. Eur. J. Radiol. 75, 134–138 (2010).
pubmed: 19443158
Takeuchi, H. & Kawashima, R. Mean diffusivity in the dopaminergic system and neural differences related to dopaminergic system. Curr. Neuropharmacol. 16, 460–474 (2018).
pubmed: 29119929 pmcid: 6018195
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).
pubmed: 24498218 pmcid: 3909269
Péran, P. et al. Magnetic resonance imaging markers of Parkinson’s disease nigrostriatal signature. Brain 133, 3423–3433 (2010).
pubmed: 20736190
Seppi, K. et al. Comparison of diffusion-weighted imaging and [123I] IBZM-SPECT for the differentiation of patients with the Parkinson variant of multiple system atrophy from those with Parkinson’s disease. Mov. Disord. 19, 1438–1445 (2004).
pubmed: 15390073
Razek, A. A., Elmongy, A., Hazem, M., Zakareyia, S. & Gabr, W. Idiopathic Parkinson disease effect of levodopa on apparent diffusion coefficient value of the brain. Acad. Radiol. 18, 70–73 (2011).
pubmed: 21145029
Takeuchi, H. et al. Working memory training impacts the mean diffusivity in the dopaminergic system. Brain Struct. Funct. 220, 3101–3111 (2015).
pubmed: 25023736
Oldfield, R. C. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9, 97–113 (1971).
Le Bihan, D. et al. Diffusion tensor imaging: concepts and applications. J. Magn. Reson. Imaging 13, 534–546 (2001).
pubmed: 11276097
Taki, Y. et al. Linear and curvilinear correlations of brain white matter volume, fractional anisotropy, and mean diffusivity with age using voxel-based and region of interest analyses in 246 healthy children. Hum. Brain Mapp. 34, 1842–1856 (2013).
pubmed: 22438164
Takeuchi, H. et al. Mean diffusivity of basal ganglia and thalamus specifically associated with motivational states among mood states. Brain Struct. Funct., 222, 1027–1037 (2017).
pubmed: 27364694
Takeuchi, H. et al. Regional gray matter density is associated with achievement motivation: evidence from voxel-based morphometry. Brain Struct. Funct. 219, 71–83 (2014).
pubmed: 23212300
Takeuchi, H. et al. Global associations between regional gray matter volume and diverse complex cognitive functions: evidence from a large sample study. Sci. Rep. 7, article 10014 (2017).
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L. & Petersen, S. E. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage 59, 2142–2154 (2012).
pubmed: 22019881
Yan, C.-G., Wang, X.-D., Zuo, X.-N. & Zang, Y.-F. DPABI: data processing & analysis for (resting-state) brain imaging. Neuroinformatics, 14, 339–351 (2016).
pubmed: 27075850
Smith, S. M. & Nichols, T. E. Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. NeuroImage 44, 83–98 (2009).
pubmed: 18501637
Maldjian, J. A., Laurienti, P. J. & Burdette, J. H. Precentral gyrus discrepancy in electronic versions of the Talairach atlas. Neuroimage 21, 450–455 (2004).
pubmed: 14741682
Maldjian, J. A., Laurienti, P. J., Kraft, R. A. & Burdette, J. H. An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. Neuroimage 19, 1233–1239 (2003).
pubmed: 12880848 pmcid: 12880848
Kriegeskorte, N., Simmons, W. K., Bellgowan, P. S. & Baker, C. I. Circular analysis in systems neuroscience: the dangers of double dipping. Nat. Neurosci. 12, 535–540 (2009).
pubmed: 19396166 pmcid: 2841687
Vul, E., Harris, C., Winkielman, P. & Pashler, H. Reply to comments on “puzzlingly high correlations in fMRI studies of emotion, personality, and social cognition”. Perspect. Psycholo. Sci. 4, 319–324 (2009).
Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B (Methodological) 57, 289–300 (1995).
Goda, A. & Masuyama, T. Obesity and overweight in Asian people. Circ. J. 80, 2425–2426 (2016).
pubmed: 27829594
Takeuchi, H. et al. Shorter sleep duration and better sleep quality are associated with greater tissue density in the brain. Sci. Rep. 8, 5833 (2018).
pubmed: 29643448 pmcid: 5895621
Takeuchi, H. et al. Mean diffusivity of basal ganglia and thalamus specifically associated with motivational states among mood states. Brain Struct. Funct. Epub ahead of publication (2016).
Carlson, N. R. Physiology of Behavior (Allyn and Bacon, Boston, 2001).
Wise, R. A. Dopamine, learning and motivation. Nat. Rev. Neurosci. 5, 483–494 (2004).
pubmed: 15152198
Lindvall, O. & Björklund, A. Dopaminergic innervation of the globus pallidus by collaterals from the nigrostriatal pathway. Brain Res. 172, 169–173 (1979).
pubmed: 466461
Greenstein, B. & Greenstein, A. Color Atlas of Neuroscience: Neuroanatomy and Neurophysiology (George Thieme Verlag, New York, 2000).
Kaplan, F. & Oudeyer, P.-Y. In search of the neural circuits of intrinsic motivation. Front. Neurosci. 1, 225–236 (2007).
pubmed: 18982131 pmcid: 2518057
Jung, R. E. et al. Neuroanatomy of creativity. Hum. Brain Mapp. 31, 398–409 (2010).
pubmed: 19722171
Kanazawa, M. et al. Criteria and classification of obesity in Japan and Asia-Oceania. Asia Pac. J. Clin. Nutr. 11, S732–S737 (2002).
Anderson, S. E. et al. Obesity and depressed mood associations differ by race/ethnicity in adolescent girls. Pediatric Obesity 6, 69–78 (2011).
Barry, D., Pietrzak, R. H. & Petry, N. M. Gender differences in associations between body mass index and DSM-IV mood and anxiety disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Ann. Epidemiol. 18, 458–466 (2008).
pubmed: 18329894 pmcid: 2504706

Auteurs

Hikarua Takeuchi (H)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan. takehi@idac.tohoku.ac.jp.

Yasuyuki Taki (Y)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan.
Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Rui Nouchi (R)

Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan.
Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.
Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Ryoichi Yokoyama (R)

School of Medicine, Kobe University, Kobe, Japan.

Seishu Nakagawa (S)

Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan.

Kunio Iizuka (K)

Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan.

Kohei Sakaki (K)

Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Tsuyoshi Araki (T)

ADVANTAGE Risk Management Co., Ltd., Tokyo, Japan.

Takayuki Nozawa (T)

Collaborative Research Center for Happiness Co-Creation Society Through Intelligent Communications, Tokyo Institute of Technology, Tokyo, Japan.

Shigeyuki Ikeda (S)

Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Susumu Yokota (S)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan.

Sugiko Hanawa (S)

Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Daniele Magistro (D)

National Centre for Sport and Exercise Medicine (NCSEM), The NIHR Leicester-Loughborough Diet, Lifestyle and Physical Activity Biomedical Research Unit, School of Sport, Exercise, and Health Sciences, Loughborough University, Loughborough, England.

Yuka Kotozaki (Y)

Division of Clinical Research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan.

Yukako Sasaki (Y)

Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Kelssy H Dos S Kawata (KH)

Center for Evolutionary Cognitive Sciences, University of Tokyo, Tokyo, Japan.

Ryuta Kawashima (R)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan.
Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan.
Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

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