The brain, obesity and addiction: An EEG neuroimaging study

Scientific Reports

Volumn 6, Issue , 2016, Pages

  De Ridder, Dirk ^a   Manning, Patrick ^a   Leong, Sook Ling ^a   Ross, Samantha ^a   Sutherland, Wayne ^a   Horwath, Caroline ^a   Vanneste, Sven ^b  

^a UNIVERSITY OF OTAGO   (New Zealand)

^b UNIVERSITY OF TEXAS AT DALLAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84988557063     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep34122     Document Type: Article

References (81)

1. Hammond, R. A. & Levine, R. The economic impact of obesity in the United States. Diabetes, metabolic syndrome and obesity: Targets and therapy 3, 285-295 (2010).
2. Cornelsen, L., Green, R., Dangour, A. & Smith, R. Why fat taxes won't make us thin. Journal of public health (2014).
3. Kenny, P. J. Common cellular and molecular mechanisms in obesity and drug addiction. Nature reviews. Neuroscience 12, 638-651 (2011).
4. Ziauddeen, H., Farooqi, I. S. & Fletcher, P. C. Obesity and the brain: How convincing is the addiction model? Nature reviews. Neuroscience 13, 279-286 (2012).
5. Volkow, N. D. & Wise, R. A. How can drug addiction help us understand obesity? Nat Neurosci 8, 555-560 (2005).
6. Gearhardt, A. N., Corbin, W. R. & Brownell, K. D. Preliminary validation of the Yale Food Addiction Scale. Appetite 52, 430-436 (2009).
7. Gearhardt, A. N. et al. Neural correlates of food addiction. Arch Gen Psychiatry 68, 808-816 (2011).
8. Pelchat, M. L., Johnson, A., Chan, R., Valdez, J. & Ragland, J. D. Images of desire: Food-craving activation during fMRI. Neuroimage 23, 1486-1493 (2004).
9. Imperatori, C. et al. Modification of EEG functional connectivity and EEG power spectra in overweight and obese patients with food addiction: An eLORETA study. Brain Imaging Behav (2014).
10. Clark, S. M. & Saules, K. K. Validation of the Yale Food Addiction Scale among a weight-loss surgery population. Eat Behav 14, 216-219 (2013).
11. Innamorati, M. et al. Psychometric properties of the Italian Yale Food Addiction Scale in overweight and obese patients. Eat Weight Disord (2014).
12. Carver, C. S. & White, T. L. Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS scales. Journal of Personality and Social Psychology 67, 319-333 (1994).
13. van Strien, T., Frijters, J. E., Bergers, G. & Defares, P. B. The Dutch Eating Behavior Questionnaire (DEBQ) for assessment of restrained, emotional, and external eating behavior. International Journal of Eating Disorders 5, 295-315 (1986).
14. Gormally, J., Black, S., Daston, S. & Rardin, D. The assessment of binge eating severity among obese persons. Addict Behav 7, 47-55 (1982).
15. Framson, C. et al. Development and validation of the mindful eating questionnaire. J Am Diet Assoc 109, 1439-1444 (2009).
16. Imperatori, C. et al. The association among food addiction, binge eating severity and psychopathology in obese and overweight patients attending low-energy-diet therapy. Compr Psychiatry 55, 1358-1362 (2014).
17. Volkow, N. D. et al. Association between age-related decline in brain dopamine activity and impairment in frontal and cingulate metabolism. A. J. Psychiatry 157, 75-80 (2000).
18. Logan, J. M., Sanders, A. L., Snyder, A. Z., Morris, J. C. & Buckner, R. L. Under-recruitment and nonselective recruitment: Dissociable neural mechanisms associated with aging. Neuron 33, 827-840 (2002).
19. Gates, G. A. & Cooper, J. C. Incidence of hearing decline in the elderly. Acta Otolaryngol 111, 240-248 (1991).
20. Moazami-Goudarzi, M., Michels, L., Weisz, N. & Jeanmonod, D. Temporo-insular enhancement of EEG low and high frequencies in patients with chronic tinnitus. QEEG study of chronic tinnitus patients. BMC neuroscience 11, 40 (2010).
21. EureKa! (Version 3. 0) [Computer Software]. Knoxville, TN: NovaTech EEG Inc. Freeware available at www. NovaTechEEG. (2002).
22. Song, J. J. et al. Hyperacusis-associated pathological resting-state brain oscillations in the tinnitus brain: A hyperresponsiveness network with paradoxically inactive auditory cortex. Brain Struct Funct (2013).
23. Song, J. J., De Ridder, D., Schlee, W., Van de Heyning, P. & Vanneste, S. "Distressed aging": The differences in brain activity between early-and late-onset tinnitus. Neurobiol Aging 34, 1853-1863 (2013).
24. Song, J. J., Punte, A. K., De Ridder, D., Vanneste, S. & Van de Heyning, P. Neural substrates predicting improvement of tinnitus after cochlear implantation in patients with single-sided deafness. Hear Res 299, 1-9 (2013).
25. Pascual-Marqui, R. D. Standardized low-resolution brain electromagnetic tomography (sLORETA): Technical details. Methods Find Exp Clin Pharmacol 24 Suppl D, 5-12 (2002).
26. Pascual-Marqui, R. D., Esslen, M., Kochi, K. & Lehmann, D. Functional imaging with low-resolution brain electromagnetic tomography (LORETA): A review. Methods Find Exp Clin Pharmacol 24 Suppl C, 91-95 (2002).
27. Fuchs, M., Kastner, J., Wagner, M., Hawes, S. & Ebersole, J. S. A standardized boundary element method volume conductor model. Clin Neurophysiol 113, 702-712 (2002).
28. Mazziotta, J. et al. A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM). Philos Trans R Soc Lond B Biol Sci 356, 1293-1322 (2001).
29. Mazziotta, J. et al. A four-dimensional probabilistic atlas of the human brain. J Am Med Inform Assoc 8, 401-430 (2001).
30. Lancaster, J. L. et al. Anatomical global spatial normalization. Neuroinformatics 8, 171-182 (2010).
31. Lancaster, J. L. et al. Bias between MNI and Talairach coordinates analyzed using the ICBM-152 brain template. Human brain mapping 28, 1194-1205 (2007).
32. Talairach, J. & Tornoux, P. Co-planar stereotaxic atlas of the human brain: 3-Dimensional proportional system: An approach to cerebral imaging. (Georg Thieme, 1988).
33. Brett, M., Johnsrude, I. S. & Owen, A. M. The problem of functional localization in the human brain. Nat Rev Neurosci 3, 243-249 (2002).
34. Nichols, T. E. & Holmes, A. P. Nonparametric permutation tests for functional neuroimaging: A primer with examples. Human brain mapping 15, 1-25 (2002).
35. Price, C. J. & Friston, K. J. Cognitive conjunction: A new approach to brain activation experiments. Neuroimage 5, 261-270 (1997).
36. Friston, K. J., Holmes, A. P., Price, C. J., Buchel, C. & Worsley, K. J. Multisubject fMRI studies and conjunction analyses. NeuroImage 10, 385-396 (1999).
37. Friston, K. J., Penny, W. D. & Glaser, D. E. Conjunction revisited. NeuroImage 25, 661-667 (2005).
38. Nichols, T., Brett, M., Andersson, J., Wager, T. & Poline, J. B. Valid conjunction inference with the minimum statistic. NeuroImage 25, 653-660 (2005).
39. Heuninckx, S., Wenderoth, N. & Swinnen, S. P. Systems neuroplasticity in the aging brain: Recruiting additional neural resources for successful motor performance in elderly persons. The Journal of neuroscience: The official journal of the Society for Neuroscience 28, 91-99 (2008).
40. Bangert, M. et al. Shared networks for auditory and motor processing in professional pianists: Evidence from fMRI conjunction. NeuroImage 30, 917-926 (2006).
41. Konova, A. B., Moeller, S. J. & Goldstein, R. Z. Common and distinct neural targets of treatment: Changing brain function in substance addiction. Neurosci Biobehav Rev 37, 2806-2817 (2013).
42. Buckner, R. L., Andrews-Hanna, J. R. & Schacter, D. L. The brain's default network: Anatomy, function, and relevance to disease. Ann N Y Acad Sci 1124, 1-38 (2008).
43. Raichle, M. E. The brain's default mode network. Annu Rev Neurosci 38, 433-447 (2015).
44. Arnal, L. H. & Giraud, A. L. Cortical oscillations and sensory predictions. Trends Cogn Sci 16, 390-398 (2012).
45. Engel, A. K. & Fries, P. Beta-band oscillations-signalling the status quo? Curr Opin Neurobiol 20, 156-165 (2010).
46. Donoso, M., Collins, A. G. & Koechlin, E. Human cognition. Foundations of human reasoning in the prefrontal cortex. Science 344, 1481-1486 (2014).
47. Cavanna, A. E. & Trimble, M. R. The precuneus: A review of its functional anatomy and behavioural correlates. Brain 129, 564-583 (2006).
48. Gusnard, D. A., Akbudak, E., Shulman, G. L. & Raichle, M. E. Medial prefrontal cortex and self-referential mental activity: Relation to a default mode of brain function. Proc Natl Acad Sci USA 98, 4259-4264 (2001).
49. Sterling, P. Allostasis: A model of predictive regulation. Physiol Behav 106, 5-15 (2012).
50. Koob, G. F. & Le Moal, M. Drug addiction, dysregulation of reward, and allostasis. Neuropsychopharmacology 24, 97-129 (2001).
51. Aminoff, E., Gronau, N. & Bar, M. The parahippocampal cortex mediates spatial and nonspatial associations. Cereb Cortex 17, 1493-1503 (2007).
52. Aminoff, E. M., Kveraga, K. & Bar, M. The role of the parahippocampal cortex in cognition. Trends in cognitive sciences 17, 379-390 (2013).
53. De Ridder, D., Van Laere, K., Dupont, P., Menovsky, T. & Van de Heyning, P. Visualizing out-of-body experience in the brain. The New England journal of medicine 357, 1829-1833 (2007).
54. Schacht, J. P., Anton, R. F. & Myrick, H. Functional neuroimaging studies of alcohol cue reactivity: A quantitative meta-analysis and systematic review. Addiction biology 18, 121-133 (2013).
55. Kuhn, S. & Gallinat, J. Common biology of craving across legal and illegal drugs-a quantitative meta-analysis of cue-reactivity brain response. Eur J Neurosci 33, 1318-1326 (2011).
56. Behrens, T. E., Fox, P., Laird, A. & Smith, S. M. What is the most interesting part of the brain? Trends Cogn Sci 17, 2-4 (2013).
57. Seeley, W. W. et al. Dissociable intrinsic connectivity networks for salience processing and executive control. J Neurosci 27, 2349-2356 (2007).
58. Ide, J. S., Shenoy, P., Yu, A. J. & Li, C. S. Bayesian prediction and evaluation in the anterior cingulate cortex. J Neurosci 33, 2039-2047 (2013).
59. Weston, C. S. Another major function of the anterior cingulate cortex: The representation of requirements. Neurosci Biobehav Rev 36, 90-110 (2012).
60. Jackson, S. R., Parkinson, A., Kim, S. Y., Schuermann, M. & Eickhoff, S. B. On the functional anatomy of the urge-for-action. Cognitive neuroscience 2, 227-243 (2011).
61. Drewes, A. M. et al. The "human visceral homunculus" to pain evoked in the oesophagus, stomach, duodenum and sigmoid colon. Exp Brain Res 174, 443-452 (2006).
62. Ostrowsky, K. et al. Functional mapping of the insular cortex: Clinical implication in temporal lobe epilepsy. Epilepsia 41, 681-686 (2000).
63. Behrens, T. E., Woolrich, M. W., Walton, M. E. & Rushworth, M. F. Learning the value of information in an uncertain world. Nat Neurosci 10, 1214-1221 (2007).
64. Mayer, E. A. Gut feelings: The emerging biology of gut-brain communication. Nat Rev Neurosci 12, 453-466 (2011).
65. Berridge, K. C. The debate over dopamine's role in reward: The case for incentive salience. Psychopharmacology (Berl) (2006).
66. De Ridder, D., Vanneste, S., Kovacs, S., Sunaert, S. & Dom, G. Transient alcohol craving suppression by rTMS of dorsal anterior cingulate: An fMRI and LORETA EEG study. Neuroscience letters 496, 5-10 (2011).
67. De Ridder, D. et al. Anterior Cingulate Implant for Alcohol Dependence. Neurosurgery (2016).
68. Mulert, C. et al. Integration of fMRI and simultaneous EEG: Towards a comprehensive understanding of localization and timecourse of brain activity in target detection. NeuroImage 22, 83-94 (2004).
69. Vitacco, D., Brandeis, D., Pascual-Marqui, R. & Martin, E. Correspondence of event-related potential tomography and functional magnetic resonance imaging during language processing. Hum Brain Mapp 17, 4-12 (2002).
70. Worrell, G. A. et al. Localization of the epileptic focus by low-resolution electromagnetic tomography in patients with a lesion demonstrated by MRI. Brain topography 12, 273-282 (2000).
71. Dierks, T. et al. Spatial pattern of cerebral glucose metabolism (PET) correlates with localization of intracerebral EEG-generators in Alzheimer's disease. Clin Neurophysiol 111, 1817-1824 (2000).
72. Pizzagalli, D. A. et al. Functional but not structural subgenual prefrontal cortex abnormalities in melancholia. Mol Psychiatry 9(325), 393-405 (2004).
73. Zumsteg, D., Wennberg, R. A., Treyer, V., Buck, A. & Wieser, H. G. H2(15)O or 13NH3 PET and electromagnetic tomography (LORETA) during partial status epilepticus. Neurology 65, 1657-1660 (2005).
74. Zaehle, T., Jancke, L. & Meyer, M. Electrical brain imaging evidences left auditory cortex involvement in speech and non-speech discrimination based on temporal features. Behav Brain Funct 3, 63 (2007).
75. Vanneste, S., Plazier, M., van der Loo, E., Van de Heyning, P. & De Ridder, D. The difference between uni-and bilateral auditory phantom percept. Clin Neurophysiol (2010).
76. Vanneste, S., Plazier, M., van der Loo, E., Van de Heyning, P. & De Ridder, D. The difference between uni-and bilateral auditory phantom percept. Clin Neurophysiol 122, 578-587 (2011).
77. Zumsteg, D., Lozano, A. M. & Wennberg, R. A. Depth electrode recorded cerebral responses with deep brain stimulation of the anterior thalamus for epilepsy. Clin Neurophysiol 117, 1602-1609 (2006).
78. Zumsteg, D., Lozano, A. M., Wieser, H. G. & Wennberg, R. A. Cortical activation with deep brain stimulation of the anterior thalamus for epilepsy. Clin Neurophysiol 117, 192-207 (2006).
79. Volpe, U. et al. The cortical generators of P3a and P3b: A LORETA study. Brain research bulletin 73, 220-230 (2007).
80. Pizzagalli, D. et al. Anterior cingulate activity as a predictor of degree of treatment response in major depression: Evidence from brain electrical tomography analysis. Am J Psychiatry 158, 405-415 (2001).
81. Zumsteg, D., Lozano, A. M. & Wennberg, R. A. Mesial temporal inhibition in a patient with deep brain stimulation of the anterior thalamus for epilepsy. Epilepsia 47, 1958-1962 (2006).