Sex differences in the influence of body mass index on anatomical architecture of brain networks
Open accessAbstract
Background/objectives The brain has a central role in regulating ingestive behavior in obesity. Analogous to addiction behaviors, an imbalance in the processing of rewarding and salient stimuli results in maladaptive eating behaviors that override homeostatic needs. We performed network analysis based on graph theory to examine the association between body mass index (BMI) and network measures of integrity, information flow and global communication (centrality) in reward, salience and sensorimotor regions and to identify sex-related differences in these parameters.Subjects/methods Structural and diffusion tensor imaging were obtained in a sample of 124 individuals (61 males and 63 females). Graph theory was applied to calculate anatomical network properties (centrality) for regions of the reward, salience and sensorimotor networks. General linear models with linear contrasts were performed to test for BMI and sex-related differences in measures of centrality, while controlling for age.Results In both males and females, individuals with high BMI (obese and overweight) had greater anatomical centrality (greater connectivity) of reward (putamen) and salience (anterior insula) network regions. Sex differences were observed both in individuals with normal and elevated BMI. In individuals with high BMI, females compared to males showed greater centrality in reward (amygdala, hippocampus and nucleus accumbens) and salience (anterior mid-cingulate cortex) regions, while males compared to females had greater centrality in reward (putamen) and sensorimotor (posterior insula) regions.Conclusions In individuals with increased BMI, reward, salience and sensorimotor network regions are susceptible to topological restructuring in a sex-related manner. These findings highlight the influence of these regions on integrative processing of food-related stimuli and increased ingestive behavior in obesity, or in the influence of hedonic ingestion on brain topological restructuring. The observed sex differences emphasize the importance of considering sex differences in obesity pathophysiology.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Sex‐specific brain alterations have also been reported in obesity and ELA studies.
“sex‐specific brain alterations have also been reported in obesity and ELA studies 11, 51, 52, 53, 54, 55, 56, 57.”
From History of early life adversity is associated with increased food addiction and sex-specific alterations in reward network connectivity in obesity (2019) · cites this paper as [56]
Alterations in reward and emotion regulation regions have been previously demonstrated in individuals with obesity.
“Alterations in reward and emotion regulation regions have been previously demonstrated in individuals with obesity 41, 56, 57.”
From History of early life adversity is associated with increased food addiction and sex-specific alterations in reward network connectivity in obesity (2019) · cites this paper as [56]
The sex differences in food addiction-related centrality are consistent with previous work describing increased post-prandial activations in reward regions in women and somatosensory regions in men.
“These differences are consistent with previous work describing increased post‐prandial activations in reward regions in women and somatosensory regions in men 53, 56, 57, 98, 106, 107, 108, 109.”
From History of early life adversity is associated with increased food addiction and sex-specific alterations in reward network connectivity in obesity (2019) · cites this paper as [56]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
A Global Measure of Perceived Stress
Cohen, S., Kamarck, T., & Mermelstein, R. (1983) · Journal of Health and Social Behavior · doi:10.2307/2136404 · Cited by 32,807 · see citing works
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820 · see citing works
Complex network measures of brain connectivity: Uses and interpretations
Rubinov, M., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.003 · Cited by 11,522 · see citing works
Cortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910 · see citing works
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610 · see citing works
Prevalence of Childhood and Adult Obesity in the United States, 2011-2012
Ogden, C. L., Carroll, M. D., Kit, B. K., & Flegal, K. M. (2014) · JAMA · doi:10.1001/jama.2014.732 · Cited by 8,072 · see citing works
Prevalence and Trends in Obesity Among US Adults, 1999-2008
Flegal, K. M. (2010) · JAMA · doi:10.1001/jama.2009.2014 · Cited by 7,580 · see citing works
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426 · see citing works
Effect size estimates: Current use, calculations, and interpretation.
Fritz, C. O., Morris, P. E., & Richler, J. J. (2012) · Journal of Experimental Psychology: General · doi:10.1037/a0024338 · Cited by 5,199 · see citing works
Node centrality in weighted networks: Generalizing degree and shortest paths
Opsahl, T., Agneessens, F., & Skvoretz, J. V. (2010) · Social Networks · doi:10.1016/j.socnet.2010.03.006 · Cited by 3,734 · see citing works
The reward circuit: linking primate anatomy and human imaging
Haber, S. N., & Knutson, B. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.129 · Cited by 3,718 · see citing works
Permutation inference for the general linear model
Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M., & Nichols, T. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.060 · Cited by 3,563 · see citing works
The PHQ-15: Validity of a New Measure for Evaluating the Severity of Somatic Symptoms
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2002) · Psychosomatic Medicine · doi:10.1097/00006842-200203000-00008 · Cited by 3,305 · see citing works
Adaptive linear step-up procedures that control the false discovery rate
Benjamini, Y., Krieger, A. M., & Yekutieli, D. (2006) · Biometrika · doi:10.1093/biomet/93.3.491 · Cited by 3,228 · see citing works
Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature
Destrieux, C., Fischl, B., Dale, A., & Halgren, E. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.010 · Cited by 2,956 · see citing works
Rich-club organization of the human connectome
van den Heuvel, M. P., & Sporns, O. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3539-11.2011 · Cited by 2,354 · see citing works
Prevalence of obesity in the United States, 2009-2010.
Ogden, C. L., Carroll, M. D., Kit, B. K., & Flegal, K. M. (2012) · PubMed · Cited by 2,070 · see citing works
Reward, dopamine and the control of food intake: implications for obesity
Volkow, N. D., Wang, G.-J., & Baler, R. D. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.11.001 · Cited by 1,400 · see citing works
The Role of the Dorsal Striatum in Reward and Decision-Making: Figure 1.
Balleine, B. W., Delgado, M. R., & Hikosaka, O. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.1554-07.2007 · Cited by 1,390 · see citing works
Efficiency of Functional Brain Networks and Intellectual Performance
van den Heuvel, M. P., Stam, C. J., Kahn, R. S., & Hulshoff Pol, H. E. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1443-09.2009 · Cited by 1,078 · see citing works
Structure and function of complex brain networks
Sporns, O. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.3/osporns · Cited by 931 · see citing works
Obesity and addiction: Neurobiological overlaps
Volkow, N. D., Wang, G. ‐., Tomasi, D., & Baler, R. D. (2013) · Obesity Reviews · doi:10.1111/j.1467-789x.2012.01031.x · Cited by 800 · see citing works
Reward mechanisms in obesity: new insights and future directions
Kenny, P. J. (2011) · Neuron · doi:10.1016/j.neuron.2011.02.016 · Cited by 748 · see citing works
Raji, C. A., Ho, A. J., Parikshak, N., Becker, J. T., López, O. L., Kuller, L. H., Hua, X., Leow, A., Toga, A. W., & Thompson, P. M. (2009) · Human Brain Mapping · doi:10.1002/hbm.20870 · Cited by 685 · see citing works
Abnormal Rich Club Organization and Functional Brain Dynamics in Schizophrenia
van den Heuvel, M. P., Sporns, O., Collin, G., Scheewe, T. W., Mandl, R. C. W., Cahn, W., Goñi, J., Pol, H. E. H., & Kahn, R. S. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.1328 · Cited by 646 · see citing works
Volkow, N. D., Wang, G.-J., Telang, F., Fowler, J. S., Thanos, P. K., Logan, J., Alexoff, D., Ding, Y.-S., Wong, C., Ma, Y., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.06.002 · Cited by 573 · see citing works
Neuroimaging and obesity: current knowledge and future directions
Carnell, S., Gibson, C., Benson, L., Ochner, C. N., & Geliebter, A. (2012) · Obesity Reviews · doi:10.1111/j.1467-789x.2011.00927.x · Cited by 441 · see citing works
DTI and MTR abnormalities in schizophrenia: Analysis of white matter integrity
Kubicki, M. R., Park, H., Westin, C., Nestor, P. G., Mulkern, R. V., Maier, S. E., Niznikiewicz, M. A., Connor, E. E., Levitt, J. J., Frumin, M., et al. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.03.026 · Cited by 433 · see citing works
Sex differences in obesity and the regulation of energy homeostasis
Lovejoy, J. C., Sainsbury, A., & the Stock Conference 2008 Working Group (2009) · Obesity Reviews · doi:10.1111/j.1467-789x.2008.00529.x · Cited by 422 · see citing works
Youth at Risk for Obesity Show Greater Activation of Striatal and Somatosensory Regions to Food
Stice, E. M., Yokum, S., Burger, K. S., Epstein, L. H., & Small, D. M. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.6604-10.2011 · Cited by 346 · see citing works
Connectivity-based segregation of the human striatum predicts personality characteristics
Cohen, M. X., Schoene‐Bake, J., Elger, C. E., & Weber, B. (2008) · Nature Neuroscience · doi:10.1038/nn.2228 · Cited by 281 · see citing works
Cerebral processing of food-related stimuli: effects of fasting and gender
Uher, R., Treasure, J., Heining, M., Brammer, M. J., & Campbell, I. C. (2006) · Behavioural Brain Research · doi:10.1016/j.bbr.2005.12.008 · Cited by 258 · see citing works
NOW vs LATER brain circuits: implications for obesity and addiction
Volkow, N. D., & Baler, R. D. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.04.002 · Cited by 237 · see citing works
Obesity Is Associated With Reduced White Matter Integrity in Otherwise Healthy Adults*
Stanek, K. M., Grieve, S. M., Brickman, A. M., Korgaonkar, M. S., Paul, R. H., Cohen, R. A., & Gunstad, J. (2010) · Obesity · doi:10.1038/oby.2010.312 · Cited by 231 · see citing works
Bartholdy, S., Dalton, B., O’Daly, O., Campbell, I. C., & Schmidt, U. H. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.02.010 · Cited by 215 · see citing works
Relative ability of fat and sugar tastes to activate reward, gustatory, and somatosensory regions
Stice, E., Burger, K. S., & Yokum, S. (2013) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.069443 · Cited by 210 · see citing works
Obesity: Genes, brain, gut, and environment
Das, U. N. (2009) · Nutrition · doi:10.1016/j.nut.2009.09.020 · Cited by 207 · see citing works
Alterations of the salience network in obesity: A resting‐state fMRI study
García‐García, I., Jurado, M. Á., Garolera, M., Segura, B., Sala‐Llonch, R., Marqués‐Iturria, I., Pueyo, R., Sender‐Palacios, M. J., Vernet‐Vernet, M., Narberhaus, A., et al. (2013) · Human Brain Mapping · doi:10.1002/hbm.22104 · Cited by 200 · see citing works
Fischi-Gómez, E., Vasung, L., Meskaldji, D. E., Lazeyras, F., Borradori-Tolsa, C., Hagmann, P., Barisnikov, K., Thiran, J., & Hüppi, P. S. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu073 · Cited by 196 · see citing works
Xu, J., Yang, L., Lin, H., Sinha, R., & Potenza, M. N. (2011) · Human Brain Mapping · doi:10.1002/hbm.21491 · Cited by 138 · see citing works
Increased body mass index is associated with specific regional alterations in brain structure
Medic, N., Ziauddeen, H., Ersche, K. D., Farooqi, I. S., Bullmore, E. T., Nathan, P. J., Ronan, L., & Fletcher, P. C. (2016) · International Journal of Obesity · doi:10.1038/ijo.2016.42 · Cited by 135 · see citing works
Specific white matter tissue microstructure changes associated with obesity
Kullmann, S., Callaghan, M. F., Heni, M., Weiskopf, N., Scheffler, K., Häring, H.-U., Fritsche, A., Veit, R., & Preissl, H. T. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.006 · Cited by 134 · see citing works
Orbitofrontal cortex volume and brain reward response in obesity
Shott, M. E., Cornier, M.-A., Mittal, V. A., Pryor, T. L., Orr, J. M., Brown, M. S., & Frank, G. (2014) · International Journal of Obesity · doi:10.1038/ijo.2014.121 · Cited by 129 · see citing works
Karlsson, H. K., Tuulari, J. J., Hirvonen, J., Saunavaara, V., Parkkola, R. K., Hiltunen, J., Hannukainen, J. C., Soinio, M., Pham, T. T., Salminen, P. T. P., et al. (2013) · Obesity · doi:10.1002/oby.20386 · Cited by 120 · see citing works
Wijngaarden, M. A., Veer, I. M., Rombouts, S. A. R. B., van Buchem, M. A., van Dijk, K. W., Pijl, H., & van der Grond, J. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.03.016 · Cited by 104 · see citing works
Reproducibility of the Structural Brain Connectome Derived from Diffusion Tensor Imaging
Bonilha, L., Gleichgerrcht, E. L., Fridriksson, J., Rorden, C., Breedlove, J. L., Nesland, T., Paulus, W., Helms, G., & Focke, N. K. (2015) · PLoS ONE · doi:10.1371/journal.pone.0135247 · Cited by 98 · see citing works
Rapuano, K. M., Huckins, J. F., Sargent, J. D., Heatherton, T. F., & Kelley, W. M. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv097 · Cited by 90 · see citing works
Patterns of brain structural connectivity differentiate normal weight from overweight subjects
Gupta, A., Mayer, E. A., Sanmiguel, C. P., Van Horn, J. D., Woodworth, D., Ellingson, B. M., Fling, C., Love, A., Tillisch, K., & Labus, J. S. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.01.005 · Cited by 79 · see citing works
Self-citationSex-based fMRI differences in obese humans in response to high vs. low energy food cues
Geliebter, A., Pantazatos, S. P., McOuatt, H., Puma, L., Gibson, C. D., & Atalayer, D. (2013) · Behavioural Brain Research · doi:10.1016/j.bbr.2012.12.023 · Cited by 72 · see citing works
Altered functional connectivity within the central reward network in overweight and obese women
Coveleskie, K., Gupta, A., Kilpatrick, L. A., Mayer, E. D., Ashe-McNalley, C., Stains, J., Labus, J. S., & Mayer, E. A. (2015) · Nutrition and Diabetes · doi:10.1038/nutd.2014.45 · Cited by 72 · see citing works
Self-citationAssociations between dopamine D2 receptor availability and BMI depend on age
Dang, L. C., Samanez-Larkin, G. R., Castrellon, J. J., Perkins, S. F., Cowan, R. L., & Zald, D. H. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.044 · Cited by 66 · see citing works
Brain regulation of food craving: relationships with weight status and eating behavior
Dietrich, A., Hollmann, M., Mathar, D., Villringer, A., & Horstmann, A. (2016) · International Journal of Obesity · doi:10.1038/ijo.2016.28 · Cited by 60 · see citing works
Affected connectivity organization of the reward system structure in obesity
Marqués‐Iturria, I., Scholtens, L. H., Garolera, M., Pueyo, R., García‐García, I., González-Tartière, P., Segura, B., Junqué, C., Palacios, M. J. S., Vernet‐Vernet, M., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.012 · Cited by 55 · see citing works
Hogenkamp, P. S., Zhou, W., Dahlberg, L. S., Stark, J., Larsen, A. L., Olivo, G., Wiemerslage, L., Larsson, E.-M., Sundbom, M., Benedict, C., et al. (2016) · International Journal of Obesity · doi:10.1038/ijo.2016.105 · Cited by 49 · see citing works
Altered baseline brain activities before food intake in obese men: A resting state fMRI study
Zhang, B., Tian, D., Yu, C., Zhang, J., Xiao, T., von Deneen, K. M., Zang, Y., Walter, M., & Liu, Y. (2014) · Neuroscience Letters · doi:10.1016/j.neulet.2014.10.020 · Cited by 48 · see citing works
Kilpatrick, L. A., Coveleskie, K., Connolly, L., Labus, J. S., Ebrat, B., Stains, J., Jiang, Z., Suyenobu, B. Y., Raybould, H. E., Tillisch, K., et al. (2014) · Gastroenterology · doi:10.1053/j.gastro.2014.01.023 · Cited by 45 · see citing works
Self-citationAtalayer, D., Pantazatos, S. P., Gibson, C. D., McOuatt, H., Puma, L. M., Astbury, N. M., & Geliebter, A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.054 · Cited by 41 · see citing works
Putamen neurons process both sensory and motor information during a complex task
Vicente, A. F., Bermúdez, M. A., Romero, M. C., Perez, R., & González, F. (2012) · Brain Research · doi:10.1016/j.brainres.2012.05.037 · Cited by 38 · see citing works
Differences in brain responses between lean and obese women to a sweetened drink
Connolly, L., Coveleskie, K., Kilpatrick, L. A., Labus, J. S., Ebrat, B., Stains, J., Jiang, Z., Tillisch, K., Raybould, H. E., & Mayer, E. A. (2013) · Neurogastroenterology & Motility · doi:10.1111/nmo.12125 · Cited by 38 · see citing works
Self-citationOlivo, G., Wiemerslage, L., Nilsson, E., Dahlberg, L. S., Larsen, A. L., Búcaro, M. O., Gustafsson, V. P., Titova, O. E., Bandstein, M., Larsson, E., et al. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00052 · Cited by 38 · see citing works
Park, B., Seo, J., Yi, J., & Park, H. (2015) · PLoS ONE · doi:10.1371/journal.pone.0141376 · Cited by 37 · see citing works
Understanding Neuronal Architecture in Obesity through Analysis of White Matter Connection Strength
Riederer, J., Shott, M. E., DeGuzman, M. C., Pryor, T. L., & Frank, G. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00271 · Cited by 20 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [61]Shott ME Cornier MA Mittal VA Pryor TL Orr JM Brown MS Orbitofrontal cortex volume and brain reward response in obesity International journal of obesity 2015 39 2 214 21 25027223 PMC4297262
Cited by
Sorted by citations
Brain–gut–microbiome interactions in obesity and food addiction
Gupta, A., Osadchiy, V., & Mayer, E. A. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-020-0341-5 · Cited by 268 · see citing works
Self-citationBrain functional and structural magnetic resonance imaging of obesity and weight loss interventions
Li, G., Hu, Y., Zhang, W., Wang, J., Ji, W., Manza, P., Volkow, N. D., Zhang, Y., & Wang, G. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02025-y · Cited by 135 · see citing works
Bhargava, A., Arnold, A. P., Bangasser, D. A., Denton, K. M., Gupta, A., Hilliard Krause, L. M., Mayer, E. A., McCarthy, M., Miller, W. L., Raznahan, A., et al. (2021) · Endocrine Reviews · doi:10.1210/endrev/bnaa034 · Cited by 130 · see citing works
Self-citationDong, T. S., Guan, M., Mayer, E. A., Stains, J., Liu, X. C., Vora, P. P., Jacobs, J. P., Lagishetty, V., Chang, L., Barry, R. L., et al. (2022) · Gut Microbes · doi:10.1080/19490976.2022.2051999 · Cited by 84 · see citing works
Self-citationRavichandran, S., Bhatt, R. R., Pandit, B., Osadchiy, V., Alaverdyan, A., Vora, P. P., Stains, J., Naliboff, B. D., Mayer, E. A., & Gupta, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-83116-0 · Cited by 77 · see citing works
Self-citationKroll, D. S., Feldman, D. E., Biesecker, C. L., McPherson, K. L., Manza, P., Joseph, P. V., Volkow, N. D., & Wang, G. (2020) · Nutrients · doi:10.3390/nu12071942 · Cited by 58 · see citing works
Osadchiy, V., Mayer, E. A., Bhatt, R., Labus, J. S., Gao, L., Kilpatrick, L. A., Liu, C., Tillisch, K., Naliboff, B., Chang, L., et al. (2019) · Obesity Science & Practice · doi:10.1002/osp4.362 · Cited by 44 · see citing works
Self-citationDong, T. S., Gupta, A., Jacobs, J. P., Lagishetty, V., Gallagher, E., Bhatt, R. R., Vora, P. P., Osadchiy, V., Stains, J., Balioukova, A., et al. (2020) · Nutrients · doi:10.3390/nu12102924 · Cited by 40 · see citing works
Self-citationZhou, Y., Song, X., Guo, Y., Lang, X., Li, Z., & Zhang, X. (2020) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2020.105061 · Cited by 35 · see citing works
Whole‐brain functional connectivity correlates of obesity phenotypes
Park, B., Byeon, K., Lee, M. J., Chung, C., Kim, S., Morys, F., Bernhardt, B. C., Dagher, A., & Park, H. (2020) · Human Brain Mapping · doi:10.1002/hbm.25167 · Cited by 32 · see citing works
Gupta, A., Mayer, E. A., Labus, J. S., Bhatt, R. R., Ju, T., Love, A., Bal, A., Tillisch, K., Naliboff, B., Sanmiguel, C. P., et al. (2018) · Obesity · doi:10.1002/oby.22060 · Cited by 29 · see citing works
Self-citationSexes on the brain: Sex as multiple biological variables in the neuronal control of feeding
Massa, M. G., & Correa, S. M. (2020) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2020.165840 · Cited by 25 · see citing works
Machine learning model to predict obesity using gut metabolite and brain microstructure data
Osadchiy, V., Bal, R., Mayer, E. A., Kunapuli, R., Dong, T. S., Vora, P. P., Petrasek, D., Liu, X. C., Stains, J., & Gupta, A. (2023) · Scientific Reports · doi:10.1038/s41598-023-32713-2 · Cited by 25 · see citing works
Self-citationZhang, P., Liu, Y., Lv, H., Li, M., Yu, F., Zheng, W., Ding, H., Wang, L., Zhao, K., Zhang, Z., et al. (2019) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.26576 · Cited by 25 · see citing works
The influence of obesity on cerebral blood flow in young adults using arterial spin labeling MRI.
Peng, S.-L., & Chen, C.-M. (2020) · NMR in Biomedicine · doi:10.1002/nbm.4375 · Cited by 21 · see citing works
Cacciola, A., Muscoloni, A., Narula, V., Calamuneri, A., Nigro, S. L., Mayer, E. A., Labus, J. S., Anastasi, G., Quattrone, A., Quartarone, A., et al. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1705.04192 · Cited by 22 · see citing works
Self-citationSEWAYBRICKER, L. E., Melhorn, S. J., Askren, M. K., Webb, M. F., Tyagi, V., Leon, M. R. B. D., Grabowski, T. J., Seeley, W. W., & Schur, E. A. (2019) · International Journal of Obesity · doi:10.1038/s41366-019-0361-9 · Cited by 20 · see citing works
Beyer, F., Zhang, R., Scholz, M. R., Wirkner, K., Loeffler, M., Stümvoll, M., Villringer, A., & Witte, A. V. (2020) · International Journal of Obesity · doi:10.1038/s41366-020-00702-4 · Cited by 19 · see citing works
Zhang, P., Liu, Y., Yu, F., Wu, G., Li, M., Wang, Z., Ding, H., Wang, L., Zhao, K., Zhang, Z.-Y., et al. (2020) · Appetite · doi:10.1016/j.appet.2020.105055 · Cited by 15 · see citing works
Moosecker, S., Pissioti, A., Leidmaa, E., Harb, M. R., Dioli, C., Gassen, N. C., Yu, S., Gazea, M., Catania, C., Anderzhanova, E. A., et al. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.10.029 · Cited by 10 · see citing works
Neuroimaging Investigations of Obesity: a Review of the Treatment of Sex from 2010
Kilpatrick, L. A., An, H. M., Pawar, S., Sood, R., & Gupta, A. (2023) · Current Obesity Reports · doi:10.1007/s13679-023-00498-0 · Cited by 11 · see citing works
Self-citationRavichandran, S., Sood, R., Das, I., Dong, T. S., Figueroa, J. D., Yang, J., Finger, N., Vaughan, A., Vora, P. P., Selvaraj, K., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-63414-z · Cited by 9 · see citing works
Self-citationLeehr, E. J., Opel, N., Werner, J., Redlich, R., Repple, J., Grotegerd, D., Dohm, K., Goltermann, J., Böhnlein, J., Amare, A. T., et al. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0461-1 · Cited by 9 · see citing works
The genetics of a “femaleness/maleness” score in cardiometabolic traits in the UK biobank
Vosberg, D. E., Pausová, Z., & Paus, T. (2023) · Scientific Reports · doi:10.1038/s41598-023-36132-1 · Cited by 6 · see citing works
Prediction of future weight change with dopamine transporter in patients with Parkinson’s disease
Pak, K., Kim, H., Seok, J. W., Lee, M. J., Shin, S., Keun-young Kim, A., Lee, J. M., Seo, Y., Kim, B., Jun, S., et al. (2019) · Journal of Neural Transmission · doi:10.1007/s00702-019-02016-w · Cited by 5 · see citing works
Zhang, X., Wang, H., Kilpatrick, L. A., Dong, T. S., Gee, G. C., Beltrán‐Sánchez, H., Wang, M. C., Vaughan, A., & Church, A. (2025) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2025.111366 · Cited by 2 · see citing works
Wang, X., Li, Q., Wang, R., Yang, F., Xi, Y., & Yang, M. (2025) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2025.111573 · Cited by 2 · see citing works
Influence of insulin sensitivity on food cue evoked functional brain connectivity in children
Semeia, L., Veit, R., Zhao, S., LUO, S. H., ANGELO, B. C., Birkenfeld, A. L., Preissl, H. T., Xiang, A. H., Kullmann, S., & Page, K. A. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121154 · Cited by 2 · see citing works
Ma, J., McGlade, E., Huber, R. S., Lyoo, I. K., Renshaw, P. F., & Yurgelun-Todd, D. A. (2023) · PLoS ONE · doi:10.1371/journal.pone.0287682 · Cited by 2 · see citing works
He, J., Xu, G., Zhao, J., Wang, Y., Lou, C., Wu, S., Zhan, H., & Xu, H. (2026) · Biology of Sex Differences · doi:10.1186/s13293-026-00850-8 · Cited by 1 · see citing works
- Authors
- Gupta, A., Mayer, E. A., Hamadani, K., Bhatt, R., Fling, C., Alaverdyan, M., Torgerson, C., Ashe-McNalley, C., Van Horn, J. D., Naliboff, B., Tillisch, K., Sanmiguel, C. P., & Labus, J. S.
- Affiliations
- University of California, Los Angeles (US)
- University of Southern California (US)
- Corresponding author
- Gupta, A
- Venue
- International Journal of Obesity
- Published
- 2017-03-31
- Volume
- 41
- Issue
- 8
- Pages
- 1185-1195
- ISSN
- 0307-0565 (ISSN-L)
- 1476-5497
- PMC
- PMC5548596
- OpenAlex
- W2602406029
- Cited by
- 30
- References
- 62
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 1 · 2023: 5 · 2022: 1 · 2021: 3 · 2020: 9 · 2019: 5 · 2017: 2
- FWCI
- 2.51
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- International Journal of Obesity (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (R03DK084169, R01DK048351, K23DK106528, P50DK064539, P30DK041301)
- National Institute of Biomedical Imaging and Bioengineering (P41EB015922)
- National Center for Research Resources (L30 RR025942)
- National Center for Complementary and Integrative Health (R01AT007137)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Keywords
- body mass index, obesity, sex differences, brain network topology, reward network, salience network, sensorimotor network, putamen, anterior insula, amygdala, nucleus accumbens, anterior midcingulate cortex, posterior insula, ingestive behavior, diffusion tensor imaging, graph theory
- MeSH terms
- Adult, Analysis of Variance, Brain, Brain Mapping, Feeding Behavior, Female, Humans, Impulsive Behavior, Male, Middle Aged, Models, Neurological, Neural Pathways, Obesity, Philosophy, Photic Stimulation, Reward, Sex Characteristics, United States, Body Mass Index, Diffusion Magnetic Resonance Imaging, Young Adult, Neuroimaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
