Journal of Innovative Optical Health Sciences, 2018, 11 (1): 1750010, Published Online: Sep. 17, 2018  

Association between central obesity and executive function as assessed by stroop task performance: A functional near-infrared spectroscopy study

Author Affiliations
1 Graduate School, Wuhan Sports University Wuhan 430079, P. R. China
2 College of Health Science, Wuhan Sports University Wuhan 430079, P. R. China
3 Hubei Key Laboratory of Exercise Training and Monitoring, Wuhan Sports University, 461 Luoyu Road, Wuhan 430079, P. R. China
Copy Citation Text

Zhangyan Deng, Qin Huang, Jiaai Huang, Weixia Zhang, Changzhu Qi, Xia Xu. Association between central obesity and executive function as assessed by stroop task performance: A functional near-infrared spectroscopy study[J]. Journal of Innovative Optical Health Sciences, 2018, 11(1): 1750010.

References

[1] World Health Organization, Global Health Observatory (GHO) data (2014).

[2] World Health Organization, Obesity: Preventing and managing the global epidemic (2000).

[3] P. L. Yau et al., “Obesity and metabolic syndrome and functional and structural brain impairments in adolescence," Pediatrics 130, e856-e864 (2012).

[4] K. C. Willeumier, D. V. Taylor, D. G. Amen, “Elevated BMI is associated with decreased blood flow in the prefrontal cortex using SPECT imaging in healthy adults," Obesity 19, 1095-1097 (2011).

[5] J. Liang et al., “Neurocognitive correlates of obesity and obesity-related behaviors in children and adolescents," Int. J. Obes. (Lond.) 38, 494-506 (2014).

[6] E. Smith et al., “A review of the association between obesity and cognitive function across the lifespan: Implications for novel approaches to prevention and treatment," Obesity Rev. 12, 740-755 (2011).

[7] I. Janssen, P. T. Katzmarzyk, R. Ross, “Waist circumference and not body mass index explains obesity-related health risk," Am. J. Clin. Nutr. 79, 379-384 (2004).

[8] M. S. Micozzi, D. Albanes, “Three limitations of the body mass index," Am. J. Clin. Nutr. 46, 376-377 (1987).

[9] M. C. Pouliot et al., “Waist circumference and abdominal sagittal diameter: Best simple anthropometric indexes of abdominal visceral adipose tissue accumulation and related cardiovascular risk in men and women," Am. J. Cardiol. 73, 460-468 (1994).

[10] S. B. Votruba, M. D. Jensen, “Regional fat deposition as a factor in FFA metabolism," Annu. Rev. Nutr. 27, 149-163 (2007).

[11] M. M. Gonzales et al., “Indirect effects of elevated body mass index on memory performance through altered cerebral metabolite concentrations," Psychosom. Med. 74, 691-698 (2012).

[12] D. H. Schwartz et al., “Visceral fat is associated with lower executive functioning in adolescents," Int. J. Obes. (Lond.) 37, 1336-1343 (2013).

[13] M. M. Gonzales et al., “Central adiposity and the functional magnetic resonance imaging response to cognitive challenge," Int. J. Obes. (Lond.) 38, 1193-1199 (2014).

[14] D. H. Yoon et al., “The relationship between visceral adiposity and cognitive performance in older adults," Age Ageing 41, 456-461 (2012).

[15] S. Kaur et al., “Central adiposity and cortical thickness in midlife," Psychosom. Med. 77, 671-678 (2015).

[16] P. Nestel et al., “Metabolic syndrome: Recent prevalence in East and Southeast Asian populations," Asia Pacific J. Clin. Nutr. 16, 362-367 (2007).

[17] S. Fitzpatrick, S. Gilbert, L. Serpell, “Systematic review: Are overweight and obese individuals impaired on behavioural tasks of executive functioning " Neuropsychol. Rev. 23, 138-156 (2013).

[18] K. Byun et al., “Positive effect of acute mild exercise on executive function via arousal-related prefrontal activations: An fNIRS study," NeuroImage 98, 336-345 (2014).

[19] S. Nagamitsu et al., “Prefrontal brain function in children with anorexia nervosa: A near-infrared spectroscopy study," Brain Dev. 33, 35-44 (2011).

[20] D. Val-Laillet et al., “Neuroimaging and neuromodulation approaches to study eating behavior and prevent and treat eating disorders and obesity," NeuroImage Clin. 8, 1-31 (2015).

[21] M. Ferrari, V. Quaresima, “A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application," NeuroImage 63, 921-935 (2012).

[22] K. C. Willeumier, D. V. Taylor, D. G. Amen, “Elevated BMI is associated with decreased blood flow in the prefrontal cortex using SPECT imaging in healthy adults," Obesity 19, 1095-1097 (2011).

[23] International Diabetes Federation, The IDF consensus worldwide definition of the metabolic syndrome, IDF Communications (2006).

[24] A. C. Ehlis et al., “Multi-channel near-infrared spectroscopy detects specific inferior-frontal activation during incongruent Stroop trials," Biol. Psychol. 69, 315-331 (2005).

[25] M. L. Schroeter et al., “Near-infrared spectroscopy can detect brain activity during a color-word matching Stroop task in an event-related design," Hum. Brain Mapp. 17, 61-71 (2002).

[26] M. Okamoto et al., “Structural atlas-based spatial registration for functional near-infrared spectroscopy enabling inter-study data integration," Clin. Neurophysiol. 120, 1320-1328 (2009).

[27] M. Okamoto et al., “Three-dimensional probabilistic anatomical cranio-cerebral correlation via the international 10 20 system oriented for transcranial functional brain mapping," NeuroImage 21, 99-111 (2004).

[28] D. Tsuzuki et al., “Virtual spatial registration of stand-alone fNIRS data to MNI space," NeuroImage 34, 1506-1518 (2007).

[29] H. Yanagisawa et al., “Acute moderate exercise elicits increased dorsolateral prefrontal activation and improves cognitive performance with Stroop test," NeuroImage 50, 1702-1710 (2010).

[30] D. W. Shattuck et al., “Construction of a 3D probabilistic atlas of human cortical structures," NeuroImage 39, 1064-1080 (2008).

[31] A. K. Singh, I. Dan, “Exploring the false discovery rate in multichannel NIRS," NeuroImage 33, 542-549 (2006).

[32] D. Sz cs, C. Killikelly, S. Cutini, “Event-related near-infrared spectroscopy detects conflict in the motor cortex in a Stroop task," Brain Res 1477, 27-36 (2012).

[33] S. Cutini, P. Scatturin, M. Zorzi, “A new method based on ICBM152 head surface for probe placement in multichannel fNIRS," NeuroImage 54, 919-927 (2011).

[34] D. S. Le et al., “Less activation of the left dorsolateral prefrontal cortex in response to a meal: a feature of obesity," Am. J. Clin. Nutr. 84, 725-731 (2006).

[35] S. R. Waldstein, L. I. Katzel, “Interactive relations of central versus total obesity and blood pressure to cognitive function," Int. J. Obes. Relat. Metab. Disord. 30, 201-207 (2006).

[36] M. D'Esposito et al., “The effect of normal aging on the coupling of neural activity to the bold hemodynamic response," NeuroImage 10, 6-14 (1999).

[37] R. B. Buxton et al., “Modeling the hemodynamic response to brain activation," NeuroImage 23 (Supplement 1), S220-S233 (2004).

[38] E. Stice et al., “Relation of reward from food intake and anticipated food intake to obesity: a functional magnetic resonance imaging study," J. Abnorm. Psychol. 117, 924-935 (2008).

[39] R. A. Whitmer et al., “Central obesity and increased risk of dementia more than three decades later," Neurology 71, 1057-1064 (2008).

[40] P. A. Wolf et al., “Relation of obesity to cognitive function: Importance of central obesity and synergistic influence of concomitant hypertension. The framingham heart study," Curr. Alzheimer Res. 4, 111-116 (2007).

[41] F. I. Kishinevsky et al., “fMRI reactivity on a delay discounting task predicts weight gain in obese women," Appetite 58, 582-592 (2012).

[42] D. Val-Laillet et al., “Changes in brain activity after a diet-induced obesity," Obesity 19, 749-756 (2011).

[43] S. Sabia et al., “Body mass index over the adult life course and cognition in late midlife: The Whitehall II Cohort Study,"Am. J. Clin. Nutr. 89, 601-607 (2009).

[44] A. K. Dahl et al., “Body mass index across midlife and cognitive change in late life," Int. J. Obes. (Lond.) 37, 296-302 (2013).

[45] A. R. Aron, T. W. Robbins, R. A. Poldrack, “Inhibition and the right inferior frontal cortex: One decade on," Trends Cogn. Sci. 18, 177-185 (2014).

[46] B. U. Forstmann et al., “Function and structure of the right inferior frontal cortex predict individual differences in response inhibition: A model-based approach," J. Neurosci. 28, 9790-9796 (2008).

[47] T. Hodgson et al., “The role of the ventrolateral frontal cortex in inhibitory oculomotor control," Brain 130, 1525-1537 (2007).

[48] A. R. Aron, T. W. Robbins, R. A. Poldrack, “Inhibition and the right inferior frontal cortex," Trends Cogn. Sci. 8, 170-177 (2004).

[49] W. A. Banks et al., “Triglycerides induce leptin resistance at the blood-brain barrier," Diabetes 53, 1253-1260 (2004).

[50] T. Reinehr et al., “High-sensitive C-reactive protein, tumor necrosis factor alpha, and cardiovascular risk factors before and after weight loss in obese children," Metabolism 54, 1155-1161 (2005).

[51] J. N. Trollor et al., “Systemic inflammation is associated with MCI and its subtypes: The Sydney memory and aging study," Dement. Geriatr. Cogn. Disord. 30, 569-578 (2010).

[52] J. A. Luchsinger et al., “Central obesity in the elderly is related to late-onset Alzheimer disease," Alzheimer Dis. Assoc. Disord. 26, 101-105 (2012).

[53] A. Zeki Al Hazzouri et al., “Central obesity, leptin and cognitive decline: The Sacramento area latino study on aging," Dement. Geriatr. Cogn. Disord. 33, 400-409 (2012).

[54] R. A. Whitmer et al., “Central obesity and increased risk of dementia more than three decades later," Neurology 71, 1057-1064 (2008).

[55] L. Maayan et al., “Disinhibited eating in obese adolescents is associated with orbitofrontal volume reductions and executive dysfunction," Obesity 19, 1382-1387 (2011).

[56] E. Stice, S. Yokum, “Neural vulnerability factors that increase risk for future weight gain," Psychol. Bull. 142, 447-471 (2016).

[57] M. A. Cornier et al., “Sex-based differences in the behavioral and neuronal responses to food," Physiol. Behav. 99, 538-543 (2010).

[58] N. Ramnani, A. M. Owen, “Anterior prefrontal cortex: Insights into function from anatomy and neuroimaging," Nat. Rev. Neurosci. 5, 184-194 (2004).

[59] S. Ramage et al., “Healthy strategies for successful weight loss and weight maintenance: A systematic review," Appl. Physiol. Nutr. Metab. 39, 1-20 (2014).

[60] P. A. Hall et al., “A social neuroscience perspective on physical activity," J. Sport Exerc. Psychol. 30, 432-449 (2008).

[61] M. Alonso-Alonso, A. Pascual-Leone, “The right brain hypothesis for obesity," JAMA 297, 1819-1822 (2007).

[62] V. Carson et al., “Systematic review of sedentary behavior and cognitive development in early childhood," Prevent. Med. 78, 115-122 (2015).

[63] A. Diamond et al., “Preschool program improves cognitive control," Science 318, 1387-1388 (2007).

[64] B. M. Appelhans, “Neurobehavioral inhibition of reward-driven feeding: Implications for dieting and obesity," Obesity 17, 640-647 (2009).

Zhangyan Deng, Qin Huang, Jiaai Huang, Weixia Zhang, Changzhu Qi, Xia Xu. Association between central obesity and executive function as assessed by stroop task performance: A functional near-infrared spectroscopy study[J]. Journal of Innovative Optical Health Sciences, 2018, 11(1): 1750010.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!