Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Feb 17:55:e48.
doi: 10.1017/S0033291724003337.

Neural risk factors that predict the future onset of binge eating or compensatory weight control behaviors: A prospective 4-year fMRI study

Affiliations

Neural risk factors that predict the future onset of binge eating or compensatory weight control behaviors: A prospective 4-year fMRI study

Eric Stice et al. Psychol Med. .

Abstract

Background: We conducted a prospective study to advance knowledge of biological factors that predict the future onset of binge eating and compensatory weight control behaviors because few biological risk factors for eating pathology have been identified.

Methods: Adolescent girls free of binge eating or compensatory behaviors (N = 88; Mage = 14.5; [SD = 0.9]) completed functional magnetic resonance imaging tasks assessing individual differences in neural responsivity hypothesized to increase risk for onset of binge eating and compensatory behaviors, along with additional self-report measures, and were assessed over a 4-year follow-up.

Results: Elevated responsivity of regions implicated in attention and valuation (dorsal anterior cingulate cortex; ventromedial prefrontal cortex) to thin models and lower responsivity of a reward valuation region (caudate) to anticipated milkshake tastes (which correlated with feeling fat) predicted the future onset of binge eating or compensatory behaviors over 4-year follow-up. Parental history of binge eating and compensatory behaviors, emotionality, weight/shape overvaluation, feeling fat, and elevated BMI also predicted the future onset of binge eating or compensatory behaviors.

Conclusions: The evidence that elevated attentional bias for, and valuation of the thin ideal, in combination with lower valuation of high-calorie foods, predicted the future onset of eating-disordered behaviors are novel findings. The evidence that weight/shape overvaluation, feeling fat, elevated body mass, emotionality, and parental history of eating pathology predicted the future onset of eating-disordered behaviors extend past findings.

Keywords: eating disorders; neural vulnerability; parental history; prospective; risk factors.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
(a) Participants reporting the onset of eating-disordered behaviors (n = 16) versus no onset (n = 63) showed greater blood-oxygen-level-dependent (BOLD) response in the right anterior cingulate cortex (ACC MNI coordinates: 3, 32, −7, Z = 4.80, k = 34; r = 0.54) in response to the contrast thin models > average-weight models. (b) Participants reporting the onset of eating-disordered behaviors (n = 16) versus no onset (n = 66) showed less BOLD response in the right caudate (MNI coordinates: 21, 14, 14, Z = 4.42, pFWE = 0.008; r = 0.49) in response to the contrast milkshake cue > tasteless solution cue. Units on the y-axis represent mean parameter estimates of the BOLD signal from the local peak response.

Similar articles

References

    1. Allen, K., Byrne, S., Oddy, W., & Crosby, R. (2013). DSM-IV-TR and DSM-5 eating disorders in adolescents: prevalence, stability, and psychosocial correlates in a population-based sample of male and female adolescents. Journal of Abnormal Psychology, 122, 720–732. 10.1037/a0034004 - DOI - PubMed
    1. Allen, K., Byrne, S., Oddy, W., Schmidt, U., & Crosby, R. (2014). Risk factors for binge eating and purging eating disorders: differences based on age of onset. International Journal of Eating Disorders, 47, 802–812. 10.1002/eat.22299 - DOI - PubMed
    1. Balodis, I., Molina, N., Kober, H., Worhunsky, P., White, M., Sinha, R., Grilo, C. M., & Potenza, M. N. (2013). Divergent neural substrates of inhibitory control in binge eating disorder relative to other manifestations of obesity. Obesity, 21, 367–377. 10.1002/oby.20068 - DOI - PMC - PubMed
    1. Batterink, L., Yokum, S., & Stice, E. (2010). Body mass correlates inversely with inhibitory control in response to food among adolescent girls: an fMRI study. NeuroImage, 52, 1696–1703. 10.1016/j.neuroimage.2010.05.059 - DOI - PMC - PubMed
    1. Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B (Methodological), 57(1), 289–300.