Response Training for Obesity Treatment: Translational Neuroscience

肥胖治疗的反应训练：转化神经科学

基本信息

批准号：
10200787
负责人：
ERIC M STICE
金额：
$ 26.78万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-04-15 至 2023-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10200787
关键词：
Accelerometer Acute Address Attention Behavioral Body Weight decreased Body fat Brain Brain imaging Calories Cellular Phone Cessation of life Computers Coupled Cues Data Dietary intake Dopamine Educational Intervention Exposure to Fatty acid glycerol esters Food Functional Magnetic Resonance Imaging Future Genetic Hyperphagia Image Individual Intake Internet Intervention Investigation Investigational Therapies Learning Measures Mediating Mediator of activation protein Obesity Outcome Overweight Palate Participant Plant Roots Process Public Health Randomized Reporting Rewards Signal Transduction Testing Time Training Weight Gain adult obesity attentional bias base deprivation economic value executive function follow-up indexing innovation intervention effect moderate obesity novel obesity treatment pilot trial primary outcome recruit relating to nervous system response reward circuitry theories translational neuroscience treatment effect visual tracking weight loss intervention

项目摘要

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 greater pretest reward and attention region response, and weaker inhibitory region response to high-calorie food images, based on the theory that response training is more efficacious for those with a strong pre-potent approach tendency to high-calorie foods.

抽象的肥胖每年导致 30 万人死亡，但大多数治疗方法并不能带来持久的体重减轻。那些人对高热量表现出更大的大脑奖励和注意力区域反应，以及更少的抑制区域反应食物图像/线索显示未来体重增加增加（Demos 等人，2012 年；Stice 等人，2015 年；Yokum 等人，2011 年， 2014），与暴饮暴食是由于对高热量食物的强烈反应所致的理论一致线索与弱抑制反应配对（Wiers 等，2007）。这意味着干预措施可以减少奖励和注意区域对此类食物的反应并增加抑制控制区域的反应应该减少因接触普遍食物信号而导致的暴饮暴食。基于计算机的反应抑制高热量食物的训练减少了对训练食物的注意力偏差和摄入量，增加了抑制控制，并在 3 项概念验证试验中使超重参与者体重减轻，并取得了效果持续 6 个月的随访（Allom & Mullan，2015；Kemps 等人，2014b；Lawrence 等人，2015b；Veling 等人，2014）。一项试点试验发现，超重/肥胖的成年人完成了多方面的 4 小时反应- 使用高热量食物图像进行抑制训练，使用低热量食物图像进行反应促进训练显示出功能磁共振成像评估的奖励和注意力区域对高热量训练食物的反应降低，与完成严格的 4 小时一般反应-抑制/反应-的对照组相比，身体脂肪减少更多使用非食物图像进行促进训练 (d=.95)，在 4 周内减少 7% 的多余体脂时期。我们建议评估这种反应训练干预的改进和扩展版本。目标 1 是将 180 名超重/肥胖成年人随机分组，接受为期 4 周的反应训练肥胖治疗或一般抑制治疗训练控制条件，包括为期一年的双月互联网传送强化训练和智能训练电话反应训练应用程序，可在受到高热量食物诱惑时使用，评估结果随访前、随访后以及 3、6 和 12 个月的随访（例如，体脂百分比、主要结果）。目标 2 是使用 fMRI 测试奖励和注意区域反应是否减少，抑制区域反应是否增加反应训练中使用和未使用的高热量食物图像会调节干预的效果脂肪减少。我们还将测试在训练期间参与者是否表现出奖励和注意力的急剧减少区域反应，并增加对高热量训练食物图像的抑制反应，以捕捉学习过程，评估对训练中未使用的食物图像进行干预的普遍性，并收集中介者的行为数据。目标 3 是测试对于那些表现出以下情况的人来说，干预效果是否会更强对高热量食物图像的抑制控制较少，这是产生更多多巴胺的遗传倾向奖励电路中的信号传导，以及更大的预测试奖励和注意区域反应，以及更弱的抑制对高热量食物图像的区域反应，基于反应训练更有效的理论那些对高热量食物有强烈的预效倾向的人。

项目成果

期刊论文数量（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Efficacy of a food response and attention training treatment for obesity: A randomized placebo controlled trial.

DOI：
10.1016/j.brat.2022.104183
发表时间：
2022-11
期刊：
BEHAVIOUR RESEARCH AND THERAPY
影响因子：
4.1
作者：
Stice, Eric;Yokum, Sonja;Gau, Jeff;Veling, Harm;Lawrence, Natalia;Kemps, Eva
通讯作者：
Kemps, Eva

Pilot test of a novel food response and attention training treatment for obesity: Brain imaging data suggest actions shape valuation.

DOI：
10.1016/j.brat.2017.04.007
发表时间：
2017-07
期刊：
Behaviour research and therapy
影响因子：
4.1
作者：
Stice E;Yokum S;Veling H;Kemps E;Lawrence NS
通讯作者：
Lawrence NS

In Search of the Most Reproducible Neural Vulnerability Factors that Predict Future Weight Gain: Analyses of Data from Six Prospective Studies.

DOI：
10.1093/scan/nsab013
发表时间：
2021-01-30
期刊：
SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE
影响因子：
4.2
作者：
Yokum, Sonja;Gearhardt, Ashley N.;Stice, Eric
通讯作者：
Stice, Eric

Efficacy of a combined food-response inhibition and attention training for weight loss.

食物反应抑制和注意力训练相结合的减肥功效。

DOI：
10.1016/j.cobeha.2022.101168
发表时间：
2022
期刊：
Current opinion in behavioral sciences
影响因子：
5
作者：
Stice,Eric;Yokum,Sonja;Nelson,TimothyD;Berkman,Elliot;Veling,Harm;Lawrence,Natalia
通讯作者：
Lawrence,Natalia