# Response Training for Obesity Treatment: Translational Neuroscience > **NIH NIH R01** · STANFORD UNIVERSITY · 2020 · $343,202 ## Abstract ABSTRACT Obesity causes 300,000 US deaths yearly, but most treatments do not result in lasting weight loss. People who show greater brain reward and attention region response, and less inhibitory region response, to high-calorie food images/cues show elevated future weight gain (Demos et al., 2012; Stice et al., 2015; Yokum et al., 2011, 2014), consistent with the theory that overeating results from a strong approach response to high-calorie food cues paired with a weak inhibitory response (Wiers et al., 2007). This implies that an intervention that reduces reward and attention region response to such food and increases inhibitory control region response should reduce overeating that is rooted in exposure to pervasive food cues. Computer-based response-inhibition training with high-calorie foods has decreased attentional bias for and intake of the training food, increased inhibitory control, and produced weight loss in overweight participants in 3 proof-of-concept trials, with effects persisting through 6-mo follow-up (Allom & Mullan, 2015; Kemps et al., 2014b; Lawrence et al., 2015b; Veling et al., 2014). A pilot trial found that overweight/obese adults who completed a multi-faceted 4-hr response- inhibition training with high-calorie food images and response-facilitation training with low-calorie food images showed reduced fMRI-assessed reward and attention region response to high-calorie training foods and greater body fat loss than controls who completed a rigorous 4-hr generic response-inhibition/response- facilitation training with non-food images (d=.95), producing a 7% reduction in excess body fat over the 4-wk period. We propose to evaluate a refined and extended version of this response-training intervention. Aim 1 is to randomize 180 overweight/obese adults to a 4-wk response training obesity treatment or a generic inhibition training control condition that both include bi-monthly Internet-delivered booster training for a year and a smart phone response training app that can be used when tempted by high-calorie foods, assessing outcomes at pre, post, and at 3-, 6-, and 12-month follow-ups (e.g., % body fat, the primary outcome). Aim 2 is to use fMRI to test whether reduced reward and attention region response, and increased inhibitory region response to high-calorie food images used and not used in the response training mediate the effects of the intervention on fat loss. We will also test whether during training participants show acute reductions in reward and attention region response, and increases in inhibitory response to high-calorie training food images to capture the learning process, assess generalizability of the intervention to food images not used in training, and collect behavioral data on mediators. Aim 3 is to test whether intervention effects will be stronger for those who show less inhibitory control in response to high-calorie food images, a genetic propensity for greater dopamine signaling in reward circuitry, and gr... ## Key facts - **NIH application ID:** 10142187 - **Project number:** 7R01DK112762-04 - **Recipient organization:** STANFORD UNIVERSITY - **Principal Investigator:** ERIC M STICE - **Activity code:** R01 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2020 - **Award amount:** $343,202 - **Award type:** 7 - **Project period:** 2017-04-15 → 2022-03-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10142187 ## Citation > US National Institutes of Health, RePORTER application 10142187, Response Training for Obesity Treatment: Translational Neuroscience (7R01DK112762-04). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10142187. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*