Objective To explore the relationship between childhood obesity and attention cognitive control through event-related potentials and behavioral monitoring using the cued target/non-target (Go/Nogo) task mode, in order to provide reference for early detection of attention problems in obese children. Methods A total of 38 obese children were selected from the obesity clinic of Changzhou Children′s Hospital from August 2019 to August 2021, and 41 normal children were selected from a primary school in Changzhou during the same period. A continuous performance test (CPT) was used to conduct electroencephalogram (EEG) tests, ERP and behavioral data were recorded and compared. Results At the behavioral level, compared with the normal group, the correct hits of obese children were significantly reduced [37(35, 39) vs. 39(38, 40), Z=-3.459, P=0.001)], and the reaction time was prolonged [(502.21±95.29) ms vs. (454.45±95.24) ms, t=2.210, P=0.030], and the variability of reaction time was higher [(147.74±50.15) ms vs. (105.89±44.87) ms, t=3.330, P=0.001]. There was no significant difference in the number of false reports between the two groups (P > 0.05). At the cognitive level, there was no significant difference in N2 amplitude and latency between the obesity group and normal group under Go and Nogo conditions. The P3 Nogo/Go effect of obese children was significantly weaker than that of the normal group, and the Nogo-P3 amplitude of obese children was significantly lower than that of the control group [(16.47±8.46) μV vs. (21.58±7.91) μV, t=-2.771, P=0.007]. Conclusions Obese individuals have cognitive impairment of continuous attention, which is manifested in the decrease of hit number and the increase of response variation at the behavioral level. The conflict monitoring ability of obese children is equivalent to that of normal children, but their active inhibition ability is impaired, with the decrease of Nogo-P3 amplitude as a sensitive index of impairment.
Key words
children /
obesity /
continuous attention /
active inhibition
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
References
[1] 陈贻珊, 张一民, 孔振兴, 等. 我国儿童青少年超重、肥胖流行现状调查[J]. 中华疾病控制杂志, 2017,21(9):866-869.
[2] Farruggia MC, Small DM. Effects of adiposity and metabolic dysfunction on cognition: A review[J]. Physiol Behav, 2019(208):112578.
[3] Alavi M, Seng JH, Mustaffa MS, et al. Attention, impulsiveness, and gender in academic achievement among typically developing children[J]. Percept Mot Skills, 2019,126(1):5-24.
[4] Mac GN, Swistun D, Murray S, et al. Executive dysfunction in depression in adolescence:The role of inflammation and higher body mass[J]. Psychol Med, 2020,50(4):683-691.
[5] Pan L, Li X, Feng Y, et al. Psychological assessment of children and adolescents with obesity[J]. J Int Med Res, 2018,46(1):89-97.
[6] Tarantino V, Vindigni V, Bassetto F, et al. Behavioral and electrophysiological correlates of cognitive control in ex-obese adults[J]. Biol Psychol, 2017(127):198-208.
[7] Tsai CL, Huang TH, Tsai MC. Neurocognitive performances of visuospatial attention and the correlations with metabolic and inflammatory biomarkers in adults with obesity[J]. Exp Physiol, 2017,102(12):1683-1699.
[8] 杜苏苏,彭璐婷,武苏,等.肥胖儿童青少年血清脂肪因子与其代谢特征的相关性研究[J].中国循证儿科杂志,2019,14(5):374-379.
[9] Barry RJ, De Blasio FM, Fogarty JS. A processing schema for children in the auditory equiprobable Go/Nogo task: ERP components and behaviour[J]. Int J Psychophysiol, 2018,123:74-79.
[10] Boucher O, Bastien CH, Muckle G, et al. Behavioural correlates of the P3b event-related potential in school-age children[J]. Int J Psychophysiol, 2010,76(3):148-157.
[11] Meo SA, Altuwaym AA, Alfallaj RM, et al. Effect of obesity on cognitive function among school adolescents: A cross-sectional study[J]. Obes Facts, 2019,12(2):150-156.
[12] Simmonds DJ, Fotedar SG, Suskauer SJ, et al. Functional brain correlates of response time variability in children[J]. Neuropsychologia, 2007,45(9):2147-2157.
[13] Burkhard A, Elmer S, Kara D, et al. The effect of background music on inhibitory functions: An ERP study[J]. Front Hum Neurosci, 2018,12:293.
[14] Niessen E, Ant JM, Bode S, et al. Preserved performance monitoring and error detection in left hemisphere stroke[J]. Neuroimage Clin, 2020,27:102307.
[15] Cheng CH, Tsai HY, Cheng HN. The effect of age on N2 and P3 components: A meta-analysis of Go/Nogo tasks[J]. Brain Cogn, 2019,135:103574.
[16] Brevers D, Cheron G, Dahman T, et al. Spatiotemporal brain signal associated with high and low levels of proactive motor response inhibition[J]. Brain Res, 2020,1747:147064.
[17] Cheng CH, Tsai HY, Cheng HN. The effect of age on N2 and P3 components: A meta-analysis of Go/Nogo tasks[J]. Brain Cogn, 2019(135):103574.
[18] Gajewski PD, Falkenstein M. Effects of task complexity on ERP components inGo/Nogo tasks[J]. Int J Psychophysiol, 2013,87(3):273-278.
[19] Kamijo K, Pontifex MB, Khan NA, et al. The association of childhood obesity to neuroelectric indices of inhibition[J]. Psychophysiology, 2012,49(10):1361-1371.
[20] Alatorre-Cruz GC, Downs H, Hagood D, et al. Effect of obesity on inhibitory control in preadolescents during stop-signal task. An event-related potentials study[J]. Int J Psychophysiol, 2021,165:56-67.
[21] Alonso-Alonso M, Pascual-Leone A. The right brain hypothesis for obesity[J]. JAMA, 2007,297(16):1819-1822.
[22] Chen S, Jia Y, Woltering S. Neural differences of inhibitory control between adolescents with obesity and their peers[J]. Int J Obes (Lond), 2018,42(10):1753-1761.
[23] Riggins T, Scott LS. P300 development from infancy to adolescence[J]. Psychophysiology, 2020,57(7):e13346.
PDF(628 KB)
