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Bariatric surgery induces alterations in effective connectivity between the orbitofrontal cortex and limbic regions in obese patients

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Abstract

Obese subjects show enhanced brain responses in motivation and reward neurocircuitry encompassing sensory and somatic integration-interception, motivation-reward (striatal), emotion, and memory processes, which attenuate frontal region activation during food cues. Bariatric surgery (BS) is the only reliable treatment for morbid obesity. Unfortunately, it is unknown how BS affects neurocircuitry after weight loss. We aimed to examine effects of BS on the basal activity of brain areas involved in reward and motivation processing, emotion, memory, and gut-brain interaction. We combined resting-state fMRI with amplitude of low-frequency fluctuation (ALFF) and Granger causality analysis (GCA) to assess interactions between regions within the frontal-mesolimbic circuitry in 16 obese subjects (OB) and 22 normal-weight (NW) subjects. The OB group was studied at baseline and 1 month post BS. Comparisons between OB and NW, and pre-and post BS showed significant differences in ALFF in areas involved in drive (caudate, orbitofrontal cortex (OFC)), arousal (thalamus), and conditioning/memory (amygdala, hippocampus) (P < 0.05, FDR correction). GCA revealed that in the OB group, the OFC had greater connectivity to limbic regions (amygdala, hippocampus, and medial thalamus) and the caudate. Post BS, the connectivity of the OFC to limbic regions decreased, whereas the connectivity from the amygdala and hippocampus to the caudate and thalamus was enhanced, particularly in subjects with lower body mass index (BMI). OFC activation in the OB group was associated with BMI prior to surgery, and changes in OFC post surgery were associated with alterations in BMI. Overall, the functional connectivity of the OFC was significantly decreased. As it is important for salience attribution and connected to limbic brain regions involved with emotional reactivity and conditioning after BS, its significant association with BMI changes indicates the contribution of OFC changes to the improved control of eating behavior after surgery.

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References

  1. Zhang Y, Liu J, Yao J, et al. Obesity: pathophysiology and intervention. Nutrients, 2014, 6: 5153–5183

    Article  Google Scholar 

  2. Berthoud H R, Morrison C. The brain, appetite, and obesity. Annu Rev Psychol, 2008, 59: 55–92

    Article  Google Scholar 

  3. Munzberg H, Laque A, Yu S, et al. Appetite and body weight regulation after bariatric surgery. Obes Rev, 2015, 16: 77–90

    Article  Google Scholar 

  4. Volkow N D, Wang G J, Telang F, et al. Low dopamine striatal D2 receptors are associated with prefrontal metabolism in obese subjects: possible contributing factors. Neuroimage, 2008, 42: 1537–1543

    Article  Google Scholar 

  5. Volkow N D, Wang G J, Maynard L, et al. Brain dopamine is associated with eating behaviors in humans. Int J Eat Disord, 2003, 33: 136–142

    Article  Google Scholar 

  6. Tracy A L, Wee C J M, Hazeltine G E, et al. Characterization of attenuated food motivation in high-fat diet-induced obesity: critical roles for time on diet and reinforcer familiarity. Physiol Behav, 2015, 141: 69–77

    Article  Google Scholar 

  7. Bohon C. Greater emotional eating scores associated with reduced frontolimbic activation to palatable taste in adolescents. Obesity, 2014, 22: 1814–1820

    Article  Google Scholar 

  8. Levitan R D, Rivera J, Silveira P P, et al. Gender differences in the association between stop-signal reaction times, body mass indices and/or spontaneous food intake in pre-school children: an early model of compromised inhibitory control and obesity. Int J Obes, 2015, 39: 614–619

    Article  Google Scholar 

  9. Killgore W D S, Weber M, Schwab Z J, et al. Cortico-limbic responsiveness to high-calorie food images predicts weight status among women. Int J Obes, 2013, 37: 1435–1442

    Article  Google Scholar 

  10. Volkow N D, Wang G J, Fowler J S, et al. Overlapping neuronal circuits in addiction and obesity: evidence of systems pathology. Phil Trans R Soc B, 2008, 363: 3191–3200

    Article  Google Scholar 

  11. Pepino M Y, Finkbeiner S, Mennella J A. Similarities in food cravings and mood states between obese women and women who smoke tobacco. Obesity, 2009, 17: 1158–1163

    Article  Google Scholar 

  12. Volkow N D, Wang G J, Baler R D. Reward, dopamine and the control of food intake: implications for obesity. Trends Cognitive Sci, 2011, 15: 37–46

    Article  Google Scholar 

  13. Lowe M R, van Steenburgh J, Ochner C, et al. Neural correlates of individual differences related to appetite. Physiol Behav, 2009, 97: 561–571

    Article  Google Scholar 

  14. Wang G J, Volkow N D, Fowler J S, et al. PET studies of the effects of aerobic exercise on human striatal dopamine release. J Nucl Med, 2000, 41: 1352–1356

    Google Scholar 

  15. Killgore W D S, Young A D, Femia L A, et al. Cortical and limbic activation during viewing of high- versus low-calorie foods. Neuroimage, 2003, 19: 1381–1394

    Article  Google Scholar 

  16. Wang G J, Volkow N D, Felder C, et al. Enhanced resting activity of the oral somatosensory cortex in obese subjects. Neuroreport, 2002, 13: 1151–1155

    Article  Google Scholar 

  17. Lenard N R, Berthoud H R. Central and peripheral regulation of food intake and physical activity: pathways and genes. Obesity, 2008, 16: 11–22

    Article  Google Scholar 

  18. Hofmann W, Friese M, Roefs A. Three ways to resist temptation: The independent contributions of executive attention, inhibitory control, and affect regulation to the impulse control of eating behavior. J Exp Social Psychol, 2009, 45: 431–435

    Article  Google Scholar 

  19. Batterink L, Yokum S, Stice E. Body mass correlates inversely with inhibitory control in response to food among adolescent girls: an fMRI study. Neuroimage, 2010, 52: 1696–1703

    Article  Google Scholar 

  20. Gruber A J, McDonald R J. Context, emotion, and the strategic pursuit of goals: interactions among multiple brain systems controlling motivated behavior. Front Behav Neurosci, 2012, 6: 50

    Article  Google Scholar 

  21. García-García I, Jurado M, Garolera M, et al. Alterations of the salience network in obesity: a resting-state fMRI study. Hum Brain Mapp, 2013, 34: 2786–2797

    Article  Google Scholar 

  22. García-García I, Jurado M A, Garolera M, et al. Functional network centrality in obesity: a resting-state and task fMRI study. Psychiatry Res-Neuroimag, 2015, 233: 331–338

    Article  Google Scholar 

  23. Kullmann S, Heni M, Veit R, et al. The obese brain: association of body mass index and insulin sensitivity with resting state network functional connectivity. Hum Brain Mapp, 2012, 33: 1052–1061

    Article  Google Scholar 

  24. Wijngaarden M A, Veer I M, Rombouts S A R B, et al. Obesity is marked by distinct functional connectivity in brain networks involved in food reward and salience. Behavioural Brain Res, 2015, 287: 127–134

    Article  Google Scholar 

  25. Ding Y, Ji G, Li G, et al. Altered interactions among resting-state networks in individuals with obesity. Obesity, 2020, 28: 601–608

    Article  Google Scholar 

  26. Sjöström L, Narbro K, Sjöström C D, et al. Effects of bariatric surgery on mortality in Swedish obese subjects. New Engl J Med, 2007, 357: 741–752

    Article  Google Scholar 

  27. Vidal P, Ramon J M, Goday A, et al. Laparoscopic gastric bypass versus laparoscopic sleeve gastrectomy as a definitive surgical procedure for morbid obesity. Mid-term results. Obes Surg, 2013, 23: 292–299

    Article  Google Scholar 

  28. Rao R S. Bariatric surgery and the central nervous system. Obes Surg, 2012, 22: 967–978

    Article  Google Scholar 

  29. Steele K E, Prokopowicz G P, Schweitzer M A, et al. Alterations of central dopamine receptors before and after gastric bypass surgery. Obes Surg, 2010, 20: 369–374

    Article  Google Scholar 

  30. van de Sande-Lee S, Pereira F R S, Cintra D E, et al. Partial reversibility of hypothalamic dysfunction and changes in brain activity after body mass reduction in obese subjects. Diabetes, 2011, 60: 1699–1704

    Article  Google Scholar 

  31. Ochner C N, Kwok Y, Conceição E, et al. Selective reduction in neural responses to high calorie foods following gastric bypass surgery. Ann Surgery, 2011, 253: 502–507

    Article  Google Scholar 

  32. Ochner C N, Stice E, Hutchins E, et al. Relation between changes in neural responsivity and reductions in desire to eat high-calorie foods following gastric bypass surgery. Neuroscience, 2012, 209: 128–135

    Article  Google Scholar 

  33. Jastreboff A M, Sinha R, Lacadie C, et al. Neural correlates of stress- and food cue-induced food craving in obesity: association with insulin levels. Diabetes Care, 2013, 36: 394–402

    Article  Google Scholar 

  34. Granger C. Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 1969, 37: 424–438

    Article  MATH  Google Scholar 

  35. Li G, Ji G, Hu Y, et al. Bariatric surgery in obese patients reduced resting connectivity of brain regions involved with self-referential processing. Hum Brain Mapp, 2018, 39: 4755–4765

    Article  Google Scholar 

  36. Zhang Y, Ji G, Li G, et al. Ghrelin reductions following bariatric surgery were associated with decreased resting state activity in the hippocampus. Int J Obes, 2019, 43: 842–851

    Article  Google Scholar 

  37. Zhang Y, Ji G, Xu M, et al. Recovery of brain structural abnormalities in morbidly obese patients after bariatric surgery. Int J Obes, 2016, 40: 1558–1565

    Article  Google Scholar 

  38. Li G, Ji G, Hu Y, et al. Reduced plasma ghrelin concentrations are associated with decreased brain reactivity to food cues after laparoscopic sleeve gastrectomy. Psychoneuroendocrinology, 2019, 100: 229–236

    Article  Google Scholar 

  39. Liu L, Ji G, Li G, et al. Structural changes in brain regions involved in executive-control and self-referential processing after sleeve gastrectomy in obese patients. Brain Imag Behav, 2019, 13: 830–840

    Article  Google Scholar 

  40. Hamilton M. The assessment of anxiety states by rating. British J Med Psychol, 1959, 32: 50–55

    Article  Google Scholar 

  41. Hamilton M. A rating scale for depression. J Neurol Neurosurgery Psychiatry, 1960, 23: 56–62

    Article  Google Scholar 

  42. Gearhardt A N, Corbin W R, Brownell K D. Preliminary validation of the Yale food addiction scale. Appetite, 2009, 52: 430–436

    Article  Google Scholar 

  43. Clark S M, Saules K K. Validation of the Yale food addiction scale among a weight-loss surgery population. Eating Behavs, 2013, 14: 216–219

    Article  Google Scholar 

  44. Zhang Y, Wang J, Zhang G, et al. The neurobiological drive for overeating implicated in Prader-Willi syndrome. Brain Res, 2015, 1620: 72–80

    Article  Google Scholar 

  45. Zhang Y F, He Y, Zhu C Z, et al. Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain Dev, 2007, 29: 83–91

    Article  Google Scholar 

  46. Ding M, Chen Y, Bressler S. Granger causality basic theory and application to neuroscience. In: Hand Book of Time Series Analysis. Berlin: Wiley-VCH Verlage, 2006. 1284–1292

    Google Scholar 

  47. Zhang Y, Li Q, Wen X, et al. Granger causality reveals a dominant role of memory circuit in chronic opioid dependence. Addiction Biol, 2017, 22: 1068–1080

    Article  Google Scholar 

  48. Fransson P, Marrelec G. The precuneus/posterior cingulate cortex plays a pivotal role in the default mode network: evidence from a partial correlation network analysis. Neuroimage, 2008, 42: 1178–1184

    Article  Google Scholar 

  49. Volkow N D, Fowler J S. Addiction, a disease of compulsion and drive: involvement of the orbitofrontal cortex. Cerebral Cortex, 2000, 10: 318–325

    Article  Google Scholar 

  50. Grabenhorst F, Rolls E T. Different representations of relative and absolute subjective value in the human brain. Neuroimage, 2009, 48: 258–268

    Article  Google Scholar 

  51. Grabenhorst F, Rolls E T. Value, pleasure and choice in the ventral prefrontal cortex. Trends Cogn Sci, 2011, 15: 56–67

    Article  Google Scholar 

  52. Gearhardt A N, Yokum S, Orr P T, et al. Neural correlates of food addiction. Arch Gen Psychiatry, 2011, 68: 808–816

    Article  Google Scholar 

  53. Holsen L M, Zarcone J R, Thompson T I, et al. Neural mechanisms underlying food motivation in children and adolescents. Neuroimage, 2005, 27: 669–676

    Article  Google Scholar 

  54. Smeets P A, de Graaf C, Stafleu A, et al. Effect of satiety on brain activation during chocolate tasting in men and women. Am J Clin Nutrition, 2006, 83: 1297–1305

    Article  Google Scholar 

  55. Janak P H, Tye K M. From circuits to behaviour in the amygdala. Nature, 2015, 517: 284–292

    Article  Google Scholar 

  56. Petrovich G D. Learning and the motivation to eat: forebrain circuitry. Physiol Behav, 2011, 104: 582–589

    Article  Google Scholar 

  57. Cottone P, Sabino V, Roberto M, et al. CRF system recruitment mediates dark side of compulsive eating. Proc Natl Acad Sci U S A, 2009, 106: 20016–20020

    Article  Google Scholar 

  58. Dallman M F, Pecoraro N, Akana S F, et al. Chronic stress and obesity: a new view of “comfort food”. Proc Natl Acad Sci U S A, 2003, 100: 11696–11701

    Article  Google Scholar 

  59. Wang G J, Tomasi D, Backus W, et al. Gastric distention activates satiety circuitry in the human brain. Neuroimage, 2008, 39: 1824–1831

    Article  Google Scholar 

  60. Wang G J, Yang J, Volkow N D, et al. Gastric stimulation in obese subjects activates the hippocampus and other regions involved in brain reward circuitry. Proc Natl Acad Sci USA, 2006, 103: 15641–15645

    Article  Google Scholar 

  61. Pelchat M L, Johnson A, Chan R, et al. Images of desire: food-craving activation during fMRI. Neuroimage, 2004, 23: 1486–1493

    Article  Google Scholar 

  62. Jakab A, Blanc R, Berényi E L. Mapping changes of in vivo connectivity patterns in the human mediodorsal thalamus: correlations with higher cognitive and executive functions. Brain Imag Behav, 2012, 6: 472–483

    Article  Google Scholar 

  63. Tryon M S, Carter C S, DeCant R, et al. Chronic stress exposure may affect the brain’s response to high calorie food cues and predispose to obesogenic eating habits. Physiol Behav, 2013, 120: 233–242

    Article  Google Scholar 

  64. Krystal J, Bennett A, Bremner J, et al. Toward a cognitive neuroscience of dissociation and altered memory functions in post-traumatic stress disorder. In: Neurobiological and Clinical Consequences of Stress: From Normal Adaptation to Post-traumatic Stress Disorder. Philadelphia: Lippincott Williams & Wilkins Publishers, 1995. 239–269

    Google Scholar 

  65. Small D M, Veldhuizen M G, Felsted J, et al. Separable substrates for anticipatory and consummatory food chemosensation. Neuron, 2008, 57: 786–797

    Article  Google Scholar 

  66. Wallner-Liebmann S, Koschutnig K, Reishofer G, et al. Insulin and hippocampus activation in response to images of high-calorie food in normal weight and obese adolescents. Obesity, 2010, 18: 1552–1557

    Article  Google Scholar 

  67. Wang G J, Geliebter A, Volkow N D, et al. Enhanced striatal dopamine release during food stimulation in binge eating disorder. Obesity, 2011, 19: 1601–1608

    Article  Google Scholar 

  68. Averbeck B B, Lehman J, Jacobson M, et al. Estimates of projection overlap and zones of convergence within frontal-striatal circuits. J Neurosci, 2014, 34: 9497–9505

    Article  Google Scholar 

  69. Nasser J A, Evans S M, Geliebter A, et al. Use of an operant task to estimate food reinforcement in adult humans with and without BED. Obesity, 2008, 16: 1816–1820

    Article  Google Scholar 

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61431013, 81730016, 31670828), Open Funding Project of National Key Laboratory of Human Factors Engineering (Grant No. 6142222190103), Natural Science Foundation of Shaanxi Province (Grant No. 2018JM3007), National Clinical Research Center for Digestive Diseases (Grant No. 2015BAI13B07), and in part by the Intramural Research Program of the United States NIAAA(Grant No. Y1AA3009).

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Correspondence to Gang Ji, Guangbin Cui or Yi Zhang.

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All protocols were approved by the Institutional Review Board of Xijing Hospital and were conducted according to the Declaration of Helsinki. All subjects were given an explanation of the purpose of the experiment and signed consent forms.

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Bariatric surgery induces alterations in effective connectivity between the orbitofrontal cortex and limbic regions in obese patients

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Duan, S., Ji, G., Li, G. et al. Bariatric surgery induces alterations in effective connectivity between the orbitofrontal cortex and limbic regions in obese patients. Sci. China Inf. Sci. 63, 170104 (2020). https://doi.org/10.1007/s11432-019-2817-x

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