Odour-imagery ability is linked to food craving, intake, and adiposity change in humans.
Journal
Nature metabolism
ISSN: 2522-5812
Titre abrégé: Nat Metab
Pays: Germany
ID NLM: 101736592
Informations de publication
Date de publication:
09 2023
09 2023
Historique:
received:
06
02
2023
accepted:
25
07
2023
medline:
25
9
2023
pubmed:
29
8
2023
entrez:
28
8
2023
Statut:
ppublish
Résumé
It is well-known that food-cue reactivity (FCR) is positively associated with body mass index (BMI)
Identifiants
pubmed: 37640944
doi: 10.1038/s42255-023-00874-z
pii: 10.1038/s42255-023-00874-z
doi:
Types de publication
Observational Study
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1483-1493Subventions
Organisme : NIDDK NIH HHS
ID : F31 DK130556
Pays : United States
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer Nature Limited.
Références
Hendrikse, J. J. et al. Attentional biases for food cues in overweight and individuals with obesity: a systematic review of the literature. Obes. Rev. 16, 424–432 (2015).
pubmed: 25752592
doi: 10.1111/obr.12265
Boswell, R. G. & Kober, H. Food cue reactivity and craving predict eating and weight gain: a meta-analytic review. Obes. Rev. 17, 159–177 (2016).
pubmed: 26644270
doi: 10.1111/obr.12354
Kavanagh, D. J., Andrade, J. & May, J. Imaginary relish and exquisite torture: the elaborated intrusion theory of desire. Psychol. Rev. 112, 446–467 (2005).
pubmed: 15783293
doi: 10.1037/0033-295X.112.2.446
Schifferstein, H. N. J. Comparing mental imagery across the sensory modalities. Imagin. Cogn. Pers. 28, 371–388 (2009).
doi: 10.2190/IC.28.4.g
Djordjevic, J., Zatorre, R. J., Petrides, M. & Jones-Gotman, M. The mind’s nose: effects of odor and visual imagery on odor detection. Psychol. Sci. 15, 143–148 (2004).
pubmed: 15016284
doi: 10.1111/j.0956-7976.2004.01503001.x
Bensafi, M. & Rouby, C. Individual differences in odor imaging ability reflect differences in olfactory and emotional perception. Chem. Senses 32, 237–244 (2007).
pubmed: 17205971
doi: 10.1093/chemse/bjl051
Marks, D. F. Visual imagery differences in the recall of pictures. Br. J. Psychol. 64, 17–24 (1973).
pubmed: 4742442
doi: 10.1111/j.2044-8295.1973.tb01322.x
Patel, B. P., Aschenbrenner, K., Shamah, D. & Small, D. M. Greater perceived ability to form vivid mental images in individuals with high compared to low BMI. Appetite 91, 185–189 (2015).
pubmed: 25865661
doi: 10.1016/j.appet.2015.04.005
Djordjevic, J., Zatorre, R. J., Petrides, M., Boyle, J. A. & Jones-Gotman, M. Functional neuroimaging of odor imagery. NeuroImage 24, 791–801 (2005).
pubmed: 15652314
doi: 10.1016/j.neuroimage.2004.09.035
Howard, J. D., Plailly, J., Grueschow, M., Haynes, J.-D. & Gottfried, J. A. Odor quality coding and categorization in human posterior piriform cortex. Nat. Neurosci. 12, 932–938 (2009).
pubmed: 19483688
pmcid: 2834563
doi: 10.1038/nn.2324
Zatorre, R. J., Jones-Gotman, M., Evans, A. C. & Meyer, E. Functional localization and lateralization of human olfactory cortex. Nature 360, 339–340 (1992).
pubmed: 1448149
doi: 10.1038/360339a0
Zatorre, R. J. & Jones-Gotman, M. Human olfactory discrimination after unilateral frontal or temporal lobectomy. Brain 114A, 71–84 (1991).
Wei, C.-S. et al. Editorial: inter- and intra-subject variability in brain imaging and decoding. Front. Comput. Neurosci. 15, 791129 (2021).
pubmed: 34912203
pmcid: 8667221
doi: 10.3389/fncom.2021.791129
Stettler, D. D. & Axel, R. Representations of odor in the piriform cortex. Neuron 63, 854–864 (2009).
pubmed: 19778513
doi: 10.1016/j.neuron.2009.09.005
Boswell, R. G., Sun, W., Suzuki, S. & Kober, H. Training in cognitive strategies reduces eating and improves food choice. Proc. Natl Acad. Sci. USA 115, E11238–E11247 (2018).
pubmed: 30420496
pmcid: 6275472
doi: 10.1073/pnas.1717092115
Robinson, E. et al. The bogus taste test: validity as a measure of laboratory food intake. Appetite 116, 223–231 (2017).
pubmed: 28476629
pmcid: 5504774
doi: 10.1016/j.appet.2017.05.002
O’Rourke, H. P. & MacKinnon, D. P. Reasons for testing mediation in the absence of an intervention effect: a research imperative in prevention and intervention research. J. Stud. Alcohol Drugs 79, 171–181 (2018).
pubmed: 29553343
pmcid: 6019768
doi: 10.15288/jsad.2018.79.171
Preacher, K. J. & Hayes, A. F. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav. Res. Methods Instrum. Comput. 36, 717–731 (2004).
pubmed: 15641418
doi: 10.3758/BF03206553
Moulton, S. T. & Kosslyn, S. M. Imagining predictions: mental imagery as mental emulation. Philos. Trans. R. Soc. B Biol. Sci. 364, 1273–1280 (2009).
doi: 10.1098/rstb.2008.0314
de Araujo, I. E., Schatzker, M. & Small, D. M. Rethinking food reward. Annu. Rev. Psychol. 71, 139–164 (2020).
pubmed: 31561741
doi: 10.1146/annurev-psych-122216-011643
Tsuneki, H. et al. Food odor perception promotes systemic lipid utilization. Nat. Metab. 4, 1514–1531 (2022).
pubmed: 36376564
doi: 10.1038/s42255-022-00673-y
Gottfried, J. A., Winston, J. S. & Dolan, R. J. Dissociable codes of odor quality and odorant structure in human piriform cortex. Neuron 49, 467–479 (2006).
pubmed: 16446149
doi: 10.1016/j.neuron.2006.01.007
Ganis, G., Thompson, W. L. & Kosslyn, S. M. Brain areas underlying visual mental imagery and visual perception: an fMRI study. Cogn. Brain Res. 20, 226–241 (2004).
doi: 10.1016/j.cogbrainres.2004.02.012
Steel, A., Billings, M. M., Silson, E. H. & Robertson, C. E. A network linking scene perception and spatial memory systems in posterior cerebral cortex. Nat. Commun. 12, 2632 (2021).
pubmed: 33976141
pmcid: 8113503
doi: 10.1038/s41467-021-22848-z
Perszyk, E. E., Davis, X. S. & Small, D. M. Olfactory decoding is positively associated with ad libitum food intake in sated humans. Appetite 180, 106351 (2023).
pubmed: 36270421
doi: 10.1016/j.appet.2022.106351
Stafford, L. D. & Whittle, A. Obese individuals have higher preference and sensitivity to odor of chocolate. Chem. Senses 40, 279–284 (2015).
pubmed: 25771359
doi: 10.1093/chemse/bjv007
Han, P., Chen, H. & Hummel, T. Brain responses to food odors associated with BMI change at 2-year follow-up. Front. Hum. Neurosci. 14, 402 (2020).
doi: 10.3389/fnhum.2020.574148
Patel, Z. M., DelGaudio, J. M. & Wise, S. K. Higher body mass index is associated with subjective olfactory dysfunction. Behav. Neurol. 2015, e675635 (2015).
doi: 10.1155/2015/675635
Sun, X. et al. Basolateral amygdala response to food cues in the absence of hunger is associated with weight gain susceptibility. J. Neurosci. 35, 7964–7976 (2015).
pubmed: 25995480
pmcid: 4438134
doi: 10.1523/JNEUROSCI.3884-14.2015
Poessel, M. et al. Brain response to food odors is not associated with body mass index and obesity-related metabolic health measures. Appetite 168, 105774 (2021).
Han, P., Roitzsch, C., Horstmann, A., Pössel, M. & Hummel, T. Increased brain reward responsivity to food-related odors in obesity. Obesity 29, 1138–1145 (2021).
pubmed: 33913254
doi: 10.1002/oby.23170
Li, G. et al. Brain functional and structural magnetic resonance imaging of obesity and weight loss interventions. Mol. Psychiatry 28, 1466–1479 (2023).
pubmed: 36918706
pmcid: 10208984
doi: 10.1038/s41380-023-02025-y
Dalton, P. Odor perception and beliefs about risk. Chem. Senses 21, 447–458 (1996).
pubmed: 8866108
doi: 10.1093/chemse/21.4.447
Faul, F., Erdfelder, E., Lang, A.-G. & Buchner, A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 39, 175–191 (2007).
pubmed: 17695343
doi: 10.3758/BF03193146
Faul, F., Erdfelder, E., Buchner, A. & Lang, A.-G. Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav. Res. Methods 41, 1149–1160 (2009).
pubmed: 19897823
doi: 10.3758/BRM.41.4.1149
Peirce, J. W. PsychoPy—psychophysics software in Python. J. Neurosci. Methods 162, 8–13 (2007).
pubmed: 17254636
pmcid: 2018741
doi: 10.1016/j.jneumeth.2006.11.017
Bartoshuk, L. M. et al. Valid across-group comparisons with labeled scales: the gLMS versus magnitude matching. Physiol. Behav. 82, 109–114 (2004).
pubmed: 15234598
doi: 10.1016/j.physbeh.2004.02.033
Green, B. G., Shaffer, G. S. & Gilmore, M. M. Derivation and evaluation of a semantic scale of oral sensation magnitude with apparent ratio properties. Chem. Senses 18, 683–702 (1993).
doi: 10.1093/chemse/18.6.683
Green, B. G. et al. Evaluating the ‘labeled magnitude scale’ for measuring sensations of taste and smell. Chem. Senses 21, 323–334 (1996).
pubmed: 8670711
doi: 10.1093/chemse/21.3.323
Lim, J., Wood, A. & Green, B. G. Derivation and evaluation of a labeled hedonic scale. Chem. Senses 34, 739–751 (2009).
pubmed: 19833660
pmcid: 2762053
doi: 10.1093/chemse/bjp054
Gilbert, A., Voss, M. & Kroll, J. Vividness of olfactory mental imagery: correlations with sensory response and consumer behavior. Chem. Senses 22, 686 (1997).
Hagströmer, M., Oja, P. & Sjöström, M. The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity. Public Health Nutr. 9, 755–762 (2006).
pubmed: 16925881
doi: 10.1079/PHN2005898
Francis, H. & Stevenson, R. Validity and test–retest reliability of a short dietary questionnaire to assess intake of saturated fat and free sugars: a preliminary study. J. Hum. Nutr. Dietetics 26, 234–242 (2013).
doi: 10.1111/jhn.12008
Doty, R. L. Office procedures for quantitative assessment of olfactory function. Am. J. Rhinol. 21, 460–473 (2007).
pubmed: 17882917
doi: 10.2500/ajr.2007.21.3043
Small, D. M., Veldhuizen, M. G., Felsted, J., Mak, Y. E. & McGlone, F. Separable substrates for anticipatory and consummatory food chemosensation. Neuron 57, 786–797 (2008).
pubmed: 18341997
pmcid: 2669434
doi: 10.1016/j.neuron.2008.01.021
Hayes, A. F. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach 2nd edn (Guilford Publications, 2017).
Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W. & Smith, S. M. FSL. NeuroImage 62, 782–790 (2012).
pubmed: 21979382
doi: 10.1016/j.neuroimage.2011.09.015
Jenkinson, M., Bannister, P., Brady, M. & Smith, S. Improved optimization for the robust and accurate linear registration and motion correction of brain images. NeuroImage 17, 825–841 (2002).
pubmed: 12377157
doi: 10.1006/nimg.2002.1132
Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S. J. & Turner, R. Movement-related effects in fMRI time-series. Magn. Reson. Med. 35, 346–355 (1996).
pubmed: 8699946
doi: 10.1002/mrm.1910350312
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L. & Petersen, S. E. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage 59, 2142–2154 (2012).
pubmed: 22019881
doi: 10.1016/j.neuroimage.2011.10.018
Bartra, O., McGuire, J. T. & Kable, J. W. The valuation system: a coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value. NeuroImage 76, 412–427 (2013).
pubmed: 23507394
doi: 10.1016/j.neuroimage.2013.02.063
Mai, J. K., Majtanik, M. & Paxinos, G. Atlas of the Human Brain 4th edn (Academic Press, 2015).
Hammers, A. et al. Three-dimensional maximum probability atlas of the human brain, with particular reference to the temporal lobe. Hum. Brain Mapp. 19, 224–247 (2003).
pubmed: 12874777
pmcid: 6871794
doi: 10.1002/hbm.10123
Rolls, E. T., Huang, C.-C., Lin, C.-P., Feng, J. & Joliot, M. Automated anatomical labelling atlas 3. NeuroImage 206, 116189 (2020).
pubmed: 31521825
doi: 10.1016/j.neuroimage.2019.116189
Yarkoni, T., Poldrack, R. A., Nichols, T. E., Van Essen, D. C. & Wager, T. D. Large-scale automated synthesis of human functional neuroimaging data. Nat. Methods 8, 665–670 (2011).
pubmed: 21706013
pmcid: 3146590
doi: 10.1038/nmeth.1635
Hebart, M. N., Görgen, K. & Haynes, J.-D. The Decoding Toolbox (TDT): a versatile software package for multivariate analyses of functional imaging data. Front. Neuroinform. 8, 88 (2015).
pubmed: 25610393
pmcid: 4285115
doi: 10.3389/fninf.2014.00088
Chang, C.-C. & Lin, C.-J. LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2, 27:1–27:27 (2011).
doi: 10.1145/1961189.1961199