Regional gray matter volume associated with exercise dependence: A voxel-based morphometry study.

Feifei Zhang, Song Wang, Yang Feng, Kun Qin, Huiru Li, Baolin Wu, Zhiyun Jia, Qiyong Gong
Author Information
  1. Feifei Zhang: Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
  2. Song Wang: Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China. ORCID
  3. Yang Feng: Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
  4. Kun Qin: Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
  5. Huiru Li: Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
  6. Baolin Wu: Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China. ORCID
  7. Zhiyun Jia: Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China. ORCID
  8. Qiyong Gong: Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China. ORCID

Abstract

Although regular physical exercise has multiple positive benefits for the general population, excessive exercise may lead to exercise dependence (EXD), which is harmful to one's physical and mental health. Increasing evidence suggests that stress is a potential risk factor for the onset and development of EXD. However, little is known about the neural substrates of EXD and the underlying neuropsychological mechanism by which stress affects EXD. Herein, we investigate these issues in 86 individuals who exercise regularly by estimating their cortical gray matter volume (GMV) utilizing a voxel-based morphometry method based on structural magnetic resonance imaging. Whole-brain correlation analyses and prediction analyses showed negative relationships between EXD and GMV of the right orbitofrontal cortex (OFC), left subgenual cingulate gyrus (sgCG), and left inferior parietal lobe (IPL). Furthermore, mediation analyses found that the GMV of the right OFC was an important mediator between stress and EXD. Importantly, these results remained significant even when adjusting for sex, age, body mass index, family socioeconomic status, general intelligence and total intracranial volume, as well as depression and anxiety. Collectively, the results of the present study provide crucial evidence of the neuroanatomical basis of EXD and reveal a potential neuropsychological pathway in predicting EXD in which GMV mediates the relationship between stress and EXD.

Keywords

References

  1. Neuropsychopharmacology. 2010 Jan;35(1):4-26 [PMID: 19812543]
  2. Br J Sports Med. 2005 Jun;39(6):e30 [PMID: 15911594]
  3. Mov Disord. 2019 Nov;34(11):1644-1654 [PMID: 31309609]
  4. J Behav Addict. 2018 Mar 1;7(1):21-30 [PMID: 29529887]
  5. J Diabetes Investig. 2018 Mar;9(2):426-429 [PMID: 28613394]
  6. Annu Rev Med. 2011;62:431-45 [PMID: 20707675]
  7. Behav Brain Res. 2017 Jan 1;316:104-114 [PMID: 27555539]
  8. Physiol Behav. 2019 Apr 1;202:62-68 [PMID: 30711532]
  9. Transl Psychiatry. 2017 Aug 8;7(8):e1194 [PMID: 28786979]
  10. Addict Biol. 2018 Sep;23(5):1160-1167 [PMID: 28884950]
  11. Neuroimage. 2011 Jan 15;54(2):794-801 [PMID: 20817105]
  12. Hum Brain Mapp. 2019 Dec 1;40(17):4982-4993 [PMID: 31397949]
  13. Behav Brain Res. 2014 Nov 1;274:400-8 [PMID: 25172180]
  14. BMJ. 2017 Apr 26;357:j1745 [PMID: 28446435]
  15. J Phys Act Health. 2019 Jul 15;16(8):637–643 [PMID: 31310988]
  16. Neuroimage. 2000 Jun;11(6 Pt 1):805-21 [PMID: 10860804]
  17. Neuron. 2020 Mar 18;105(6):1077-1093.e7 [PMID: 31952856]
  18. Scand J Med Sci Sports. 2014 Apr;24(2):447-53 [PMID: 22882175]
  19. Behav Res Ther. 1995 Mar;33(3):335-43 [PMID: 7726811]
  20. J Sport Exerc Psychol. 2009 Feb;31(1):60-76 [PMID: 19325188]
  21. Depress Anxiety. 2019 Sep;36(9):846-858 [PMID: 31209958]
  22. Science. 2004 Apr 16;304(5669):452-4 [PMID: 15087550]
  23. Sports Med. 2013 Feb;43(2):111-9 [PMID: 23329605]
  24. Hum Brain Mapp. 2018 Oct;39(10):3972-3983 [PMID: 29885086]
  25. Nat Rev Neurosci. 2009 Jun;10(6):410-22 [PMID: 19455173]
  26. Addict Biol. 2019 Jan;24(1):100-109 [PMID: 29057579]
  27. Med Sci Sports Exerc. 1985 Feb;17(1):94-100 [PMID: 3157040]
  28. J Cereb Blood Flow Metab. 1992 Nov;12(6):900-18 [PMID: 1400644]
  29. Psychiatry Res. 2012 Dec 30;200(2-3):879-83 [PMID: 22921506]
  30. Neuropsychopharmacology. 2020 Sep;45(10):1689-1697 [PMID: 32396920]
  31. Front Psychol. 2020 Mar 06;11:247 [PMID: 32210869]
  32. Commun Biol. 2018 Jun 7;1:62 [PMID: 30271944]
  33. Emotion. 2020 Sep;20(6):917-926 [PMID: 31192663]
  34. Sports Med. 2019 Feb;49(2):319-330 [PMID: 30374944]
  35. Cogn Affect Behav Neurosci. 2019 Aug;19(4):779-796 [PMID: 31062291]
  36. Cereb Cortex. 2008 Nov;18(11):2523-31 [PMID: 18296435]
  37. Health Psychol. 2000 Nov;19(6):586-92 [PMID: 11129362]
  38. Proc Natl Acad Sci U S A. 2013 May 14;110(20):8230-5 [PMID: 23630286]
  39. Soc Cogn Affect Neurosci. 2020 Jun 23;15(4):395-404 [PMID: 32378710]
  40. Neurosci Biobehav Rev. 2019 Oct;105:39-51 [PMID: 31377218]
  41. Aust J Sci Med Sport. 1995 Sep;27(3):68-75 [PMID: 8599747]
  42. Hum Brain Mapp. 2018 Oct;39(10):3943-3955 [PMID: 29923264]
  43. Brain. 2000 Nov;123 ( Pt 11):2189-202 [PMID: 11050020]
  44. J Child Adolesc Psychopharmacol. 2019 Aug;29(7):498-507 [PMID: 31313938]
  45. Hum Brain Mapp. 2017 Aug;38(8):3917-3926 [PMID: 28498515]
  46. Cortex. 2020 Feb;123:42-56 [PMID: 31747630]
  47. Hum Brain Mapp. 2021 Oct 15;42(15):4857-4868 [PMID: 34236128]
  48. Hum Brain Mapp. 2018 Apr;39(4):1688-1699 [PMID: 29331059]
  49. Science. 2009 Jul 31;325(5940):621-5 [PMID: 19644122]
  50. Front Neurosci. 2014 Sep 04;8:276 [PMID: 25249931]
  51. Biol Psychiatry. 2013 May 1;73(9):827-35 [PMID: 23541000]
  52. Cereb Cortex. 2020 Jan 10;30(1):181-196 [PMID: 31044253]
  53. JAMA Intern Med. 2017 Mar 1;177(3):335-342 [PMID: 28097313]
  54. J Intern Med. 2018 Oct;284(4):439-443 [PMID: 29776014]
  55. Sci Rep. 2018 Feb 1;8(1):2155 [PMID: 29391461]
  56. Trends Cogn Sci. 2000 Jun;4(6):215-222 [PMID: 10827444]
  57. Br J Sports Med. 2009 Mar;43(3):204-7 [PMID: 18308882]
  58. Neuroimage. 2015 Dec;123:165-72 [PMID: 26279212]
  59. Brain. 2015 Jul;138(Pt 7):2074-86 [PMID: 25971784]
  60. Health Psychol. 2017 Dec;36(12):1109-1125 [PMID: 28726474]
  61. Neuroimage. 2020 Nov 1;221:117150 [PMID: 32668298]
  62. Neuroimage. 2017 Aug 1;156:101-108 [PMID: 28502846]
  63. Annu Rev Neurosci. 2001;24:167-202 [PMID: 11283309]
  64. Behav Res Methods. 2007 May;39(2):175-91 [PMID: 17695343]
  65. Addict Behav Rep. 2018 Jun 18;8:33-39 [PMID: 30003135]
  66. Hum Brain Mapp. 2021 May;42(7):2214-2235 [PMID: 33599347]
  67. Neuroimage. 2012 Oct 1;62(4):2281-95 [PMID: 22326834]
  68. Behav Brain Res. 2019 Feb 1;359:215-222 [PMID: 30408511]
  69. Neuroimage. 2007 Oct 15;38(1):95-113 [PMID: 17761438]
  70. Anxiety Stress Coping. 2007 Sep;20(3):253-65 [PMID: 17999228]
  71. Neuron. 2003 Apr 24;38(2):329-37 [PMID: 12718865]
  72. Front Behav Neurosci. 2015 Mar 20;9:64 [PMID: 25852507]
  73. Am J Psychiatry. 2002 Oct;159(10):1642-52 [PMID: 12359667]
  74. Neuron. 2007 Jan 4;53(1):9-16 [PMID: 17196526]
  75. Hum Brain Mapp. 2004 Dec;23(4):200-9 [PMID: 15449355]
  76. Neurosci Biobehav Rev. 2014 Jan;38:1-16 [PMID: 24211373]
  77. Scand J Psychol. 2014 Jun;55(3):233-43 [PMID: 24602177]
  78. Behav Brain Res. 2019 Apr 19;362:122-130 [PMID: 30639508]
  79. Br J Addict. 1987 Jul;82(7):735-40 [PMID: 3311101]
  80. Nat Rev Neurosci. 2012 Apr 13;13(5):336-49 [PMID: 22498897]
  81. World Psychiatry. 2016 Jun;15(2):176-7 [PMID: 27265709]
  82. J Am Geriatr Soc. 2005 Mar;53(3):483-8 [PMID: 15743294]
  83. Front Psychiatry. 2018 Mar 06;9:67 [PMID: 29559931]
  84. Physiol Rev. 2007 Jul;87(3):873-904 [PMID: 17615391]
  85. Arch Med Sci. 2010 Jun 30;6(3):447-55 [PMID: 22371784]
  86. J Neurosci. 2001 Jun 1;21(11):4090-103 [PMID: 11356897]
  87. Am J Psychiatry. 2019 Feb 1;176(2):119-128 [PMID: 30336705]
  88. Percept Mot Skills. 2012 Oct;115(2):618-31 [PMID: 23265023]
  89. Br J Sports Med. 2020 Jan;54(2):110-115 [PMID: 31420319]
  90. Neurosci Biobehav Rev. 2019 Nov;106:245-262 [PMID: 30227143]
  91. J Behav Addict. 2020 Apr 01;9(1):44-57 [PMID: 32359230]

MeSH Term

Adolescent
Adult
Behavior, Addictive
Exercise
Gray Matter
Gyrus Cinguli
Humans
Magnetic Resonance Imaging
Parietal Lobe
Prefrontal Cortex
Stress, Psychological
Young Adult

Word Cloud

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