Weight‐Related Differences in Salience, Default Mode, and Executive Function Network Connectivity in Adolescents
dc.contributor.author | Borowitz, Michelle A. | |
dc.contributor.author | Yokum, Sonja | |
dc.contributor.author | Duval, Elizabeth R. | |
dc.contributor.author | Gearhardt, Ashley N. | |
dc.date.accessioned | 2020-08-10T20:53:05Z | |
dc.date.available | WITHHELD_13_MONTHS | |
dc.date.available | 2020-08-10T20:53:05Z | |
dc.date.issued | 2020-08 | |
dc.identifier.citation | Borowitz, Michelle A.; Yokum, Sonja; Duval, Elizabeth R.; Gearhardt, Ashley N. (2020). "Weight‐Related Differences in Salience, Default Mode, and Executive Function Network Connectivity in Adolescents." Obesity 28(8): 1438-1446. | |
dc.identifier.issn | 1930-7381 | |
dc.identifier.issn | 1930-739X | |
dc.identifier.uri | https://hdl.handle.net/2027.42/156135 | |
dc.publisher | Wiley Periodicals, Inc. | |
dc.title | Weight‐Related Differences in Salience, Default Mode, and Executive Function Network Connectivity in Adolescents | |
dc.type | Article | |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Endocrinology | |
dc.subject.hlbtoplevel | Health Sciences | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/156135/2/oby22853.pdf | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/156135/1/oby22853_am.pdf | en_US |
dc.identifier.doi | 10.1002/oby.22853 | |
dc.identifier.source | Obesity | |
dc.identifier.citedreference | Burger KS, Stice E. Neural responsivity during soft drink intake, anticipation, and advertisement exposure in habitually consuming youth. Obesity (Silver Spring) 2014; 22: 441 ‐ 450. | |
dc.identifier.citedreference | Small DM. Individual differences in the neurophysiology of reward and the obesity epidemic. Int J Obes (Lond) 2009; 33 ( suppl 2 ): S44 ‐ S48. | |
dc.identifier.citedreference | Eichenbaum H, Otto T, Cohen NJ. Two functional components of the hippocampal memory system. Behav Brain Sci 1994; 17: 449 ‐ 472. | |
dc.identifier.citedreference | Murray EA. The amygdala, reward and emotion. Trends Cogn Sci 2007; 11: 489 ‐ 497. | |
dc.identifier.citedreference | Grahn JA, Parkinson JA, Owen AM. The cognitive functions of the caudate nucleus. Prog Neurobiol 2008; 86: 141 ‐ 155. | |
dc.identifier.citedreference | Cavanna AE, Trimble MR. The precuneus: a review of its functional anatomy and behavioural correlates. Brain 2006; 129: 564 ‐ 583. | |
dc.identifier.citedreference | Filbey FM, Myers US, Dewitt S. Reward circuit function in high BMI individuals with compulsive overeating: similarities with addiction. NeuroImage 2012; 63: 1800 ‐ 1806. | |
dc.identifier.citedreference | Robinson TE, Berridge KC. The psychology and neurobiology of addiction: an incentive‐sensitization view. Addiction 2000; 95 ( suppl 2 ): S91 ‐ S117. | |
dc.identifier.citedreference | Carnell S, Benson L, Pantazatos SP, Hirsch J, Geliebter A. Amodal brain activation and functional connectivity in response to high‐energy‐density food cues in obesity. Obesity (Silver Spring) 2014; 22: 2370 ‐ 2378. | |
dc.identifier.citedreference | Higgs S, Robinson E, Lee M. Learning and memory processes and their role in eating: implications for limiting food intake in overeaters. Curr Obes Rep 2012; 1: 91 ‐ 98. | |
dc.identifier.citedreference | Kober H, Kross EF, Mischel W, Hart CL, Ochsner KN. Regulation of craving by cognitive strategies in cigarette smokers. Drug Alcohol Depend 2010; 106: 52 ‐ 55. | |
dc.identifier.citedreference | Casey BJ, Giedd JN, Thomas KM. Structural and functional brain development and its relation to cognitive development. Biol Psychol 2000; 54: 241 ‐ 257. | |
dc.identifier.citedreference | 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. | |
dc.identifier.citedreference | Park BY, Seo J, Yi J, Park H. Structural and functional brain connectivity of people with obesity and prediction of body mass index using connectivity. PLoS One 2015; 10: e0141376. doi: 10.1371/journal.pone.0141376 | |
dc.identifier.citedreference | Meng Q, Han Y, Ji G, et al. Disrupted topological organization of the frontal‐mesolimbic network in obese patients. Brain Imaging Behav 2018; 12: 1544 ‐ 1555. | |
dc.identifier.citedreference | Gordon EM, Laumann TO, Adeyemo B, Huckins JF, Kelley WM, Petersen SE. Generation and evaluation of a cortical area parcellation from resting‐state correlations. Cereb Cortex 2016; 26: 288 ‐ 303. | |
dc.identifier.citedreference | Loomba‐Albrecht LA, Styne DM. Effect of puberty on body composition. Curr Opin Endocrinol Diabetes Obes 2009; 16: 10 ‐ 15. | |
dc.identifier.citedreference | Hales CM, Carroll MD, Fryar CD, Ogden CL. Prevalence of obesity among adults and youth: United States, 2015‐2016. NCHS Data Brief, no. 288. Hyattsville, MD: National Center for Health Statistics; 2017. | |
dc.identifier.citedreference | Erermis S, Cetin N, Amar M, Bukusoglu N, Akdeniz F, Goksen D. Is obesity a risk factor for psychopathology among adolescents? Pediatr Int 2004; 46: 296 ‐ 301. | |
dc.identifier.citedreference | Dietz WH. Health consequences of obesity in youth: childhood predictors of adult disease. Pediatrics 1998; 101: 518 ‐ 525. | |
dc.identifier.citedreference | Adair LS. Child and adolescent obesity: epidemiology and developmental perspectives. Physiol Behav 2008; 94: 8 ‐ 16. | |
dc.identifier.citedreference | Casey BJ, Jones RM. Neurobiology of the adolescent brain and behavior. J Am Acad Child Adolesc Psychiatry 2010; 49: 1189 ‐ 1201. | |
dc.identifier.citedreference | DiFeliceantonio AG, Coppin G, Rigoux L, et al. Supra‐additive effects of combining fat and carbohydrate on food reward. Cell Metab 2018; 28: 33 ‐ 44.e33. | |
dc.identifier.citedreference | Lee MH, Smyser CD, Shimony JS. Resting‐state fMRI: a review of methods and clinical applications. AJNR Am J Neuroradiol 2013; 34: 1866 ‐ 1872. | |
dc.identifier.citedreference | Power JD, Cohen AL, Nelson SM, et al. Functional network organization of the human brain. Neuron 2011; 72: 665 ‐ 678. | |
dc.identifier.citedreference | Greicius MD, Supekar K, Menon V, Dougherty RF. Resting‐state functional connectivity reflects structural connectivity in the default mode network. Cereb Cortex 2009; 19: 72 ‐ 78. | |
dc.identifier.citedreference | Seeley WW, Menon V, Schatzberg AF, et al. Dissociable intrinsic connectivity networks for salience processing and executive control. J Neurosci 2007; 27: 2349 ‐ 2356. | |
dc.identifier.citedreference | Barrett LF, Satpute AB. Large‐scale brain networks in affective and social neuroscience: towards an integrative functional architecture of the brain. Curr Opin Neurobiol 2013; 23: 361 ‐ 372. | |
dc.identifier.citedreference | Greicius M. Resting‐state functional connectivity in neuropsychiatric disorders. Curr Opin Neurol 2008; 21: 424 ‐ 430. | |
dc.identifier.citedreference | Garcia‐Garcia I, Jurado MA, Garolera M, et al. Alterations of the salience network in obesity: a resting‐state fMRI study. Hum Brain Mapp 2013; 34: 2786 ‐ 2797. | |
dc.identifier.citedreference | 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. | |
dc.identifier.citedreference | Lips MA, Wijngaarden MA, van der Grond J, et al. Resting‐state functional connectivity of brain regions involved in cognitive control, motivation, and reward is enhanced in obese females. Am J Clin Nutr 2014; 100: 524 ‐ 531. | |
dc.identifier.citedreference | Wijngaarden MA, Veer IM, Rombouts SA, et al. Obesity is marked by distinct functional connectivity in brain networks involved in food reward and salience. Behav Brain Res 2015; 287: 127 ‐ 134. | |
dc.identifier.citedreference | Black WR, Lepping RJ, Bruce AS, et al. Tonic hyper‐connectivity of reward neurocircuitry in obese children. Obesity (Silver Spring) 2014; 22: 1590 ‐ 1593. | |
dc.identifier.citedreference | Moreno‐Lopez L, Contreras‐Rodriguez O, Soriano‐Mas C, Stamatakis EA, Verdejo‐Garcia A. Disrupted functional connectivity in adolescent obesity. Neuroimage Clin 2016; 12: 262 ‐ 268. | |
dc.identifier.citedreference | Martín‐Pérez C, Contreras‐Rodríguez O, Vilar‐López R, Verdejo‐García A. Hypothalamic networks in adolescents with excess weight: stress‐related connectivity and associations with emotional eating. J Am Acad Child Adolesc Psychiatry 2019; 58: 211 ‐ 220.e5. | |
dc.identifier.citedreference | Reilly JJ, Kelly J. Long‐term impact of overweight and obesity in childhood and adolescence on morbidity and premature mortality in adulthood: systematic review. Int J Obes (Lond) 2011; 35: 891 ‐ 898. | |
dc.identifier.citedreference | Gearhardt AN, Yokum S, Harris JL, Epstein LH, Lumeng JC. Neural response to fast food commercials in adolescents predicts intake. Am J Clin Nutr 2020; 111: 493 ‐ 502. | |
dc.identifier.citedreference | Kuczmarski RJ, Ogden CL, Gummer‐Strawn LM, et al. CDC growth charts: United States. Advance Data, no. 314. Hyattsville, MD: National Center for Health Statistics; 2000. | |
dc.identifier.citedreference | Whitfield‐Gabrieli S, Nieto‐Castanon A. CONN: a functional connectivity toolbox for correlated and anticorrelated brain networks. Brain Connect 2012; 2: 125 ‐ 141. | |
dc.identifier.citedreference | Tzourio‐Mazoyer N, Landeau B, Papathanassiou D, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single‐subject brain. NeuroImage 2002; 15: 273 ‐ 289. | |
dc.identifier.citedreference | Genovese CR, Lazar NA, Nichols T. Thresholding of statistical maps in functional neuroimaging using the false discovery rate. NeuroImage 2002; 15: 870 ‐ 878. | |
dc.identifier.citedreference | McDannald MA, Jones JL, Takahashi YK, Schoenbaum G. Learning theory: a driving force in understanding orbitofrontal function. Neurobiol Learn Mem 2014; 108: 22 ‐ 27. | |
dc.identifier.citedreference | Ikemoto S. Dopamine reward circuitry: two projection systems from the ventral midbrain to the nucleus accumbens‐olfactory tubercle complex. Brain Res Rev 2007; 56: 27 ‐ 78. | |
dc.identifier.citedreference | Koob GF, Volkow ND. Neurocircuitry of addiction. Neuropsychopharmacology 2010; 35: 217 ‐ 238. | |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.