Developing deep learning algorithms for studying infant brain and behavior relationships

开发深度学习算法来研究婴儿大脑和行为关系

• 批准号: 10263607
• 负责人: Lauren A O'Connell
• 金额: $ 8.65万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10263607
• 关键词: Address; Behavior; Behavioral Paradigm; Biological Assay; Biological Models; Brain; Brain imaging; Caregivers; Cells; Child; Communication; Critical Thinking; Crying; Dancing; Data Scientist; Development; Disease; Doctor of Philosophy; Eating; Food; Foundations; Goals; Growth; Hunger; Image; Immunohistochemistry; Individual; Infant; Infant Behavior; Life; Methodology; Neuroanatomy; Neurons; Neurosciences; Nutritional; Obesity; Parents; Pathology; Personal Satisfaction; Prevention strategy; Preventive treatment; Public Health; Research; Risk; Role; Schools; Social Behavior; Social Interaction; Societies; Study models; Tadpoles; Testing; United States; Work; autism spectrum disorder; base; black women; brain behavior; cell type; computational neuroscience; deep learning; deep learning algorithm; experimental study; feeding; in vivo; infancy; member; multimodality; neurogenetics; neuromechanism; neuron development; novel; nutrition; obesity in children; offspring; parent grant; programs; relating to nervous system; sensory integration; skills; social; social attachment; success; tool

Project Summary Infants communicate to their caregivers that they need food by crying. This represents our very first social interaction that lays the foundation for a healthy life by acquiring nutrition for growth and establishing a strong social bond with caregivers. Infants that cannot regulate their nutrition are at risk for malnourishment or obesity, whose deleterious effects will negatively impact the wellness of these individuals for their lifetime. Abnormalities in social recognition and communication, like those found in autism spectrum disorders, also become apparent during infancy. Despite the critical importance of infants communicating nutritional need to caregivers, the neuronal basis remains unknown. To address this deficit, I propose to study social tadpoles that beg their parents for food by dancing. Tadpoles use this begging display to encode nutritional state, enabling us to quantify hunger- based communication. These tadpoles are translucent, allowing us to visualize the development and activity of neurons in the brain. I am combining this novel model system and behavioral paradigm with advanced neurogenetic tools to interrogate the neuronal substrates of hunger-based communication. I will examine whether nutritional quality influences the development of neurons that regulating feeding and communication with in vivo brain imaging. I will also test for a functional role of these neuronal cell-types in begging behavior using a high throughput behavior assay, whole brain clearing and immunohistochemistry, and cell-specific manipulations of neuronal activity. As social recognition is important for establishing parent-offspring bonds, I will then use in vivo neural activity imaging to determine how tadpoles recognize their parents using multi-modal sensory integration. Completion of these experiments will transform our understanding of a social behavior critical for infant survival and life-long wellbeing. There is a pressing need for this research because there are currently no established models for studying the neural mechanisms of infant communication of hunger. This work is important to public health because some of the most prevalent disorders afflicting children in the United States are eating related disorders and conditions involving abnormalities in social recognition and communication, such as autism spectrum disorders. More research on infant feeding and communication is needed to better understand these pathologies in the youngest members of our society.

项目概要 婴儿通过哭泣向照顾者传达他们需要食物的信息。这代表了我们的第一个社交 通过获取生长营养并建立强大的力量，为健康生活奠定基础 与照顾者的社会联系。无法调节营养的婴儿面临营养不良或肥胖的风险， 其有害影响将对这些人一生的健康产生负面影响。异常情况 在社会认知和沟通方面，就像在自闭症谱系障碍中发现的那样，也变得明显 在婴儿期。尽管婴儿向护理人员传达营养需求至关重要，但 神经元基础仍然未知。为了解决这一缺陷，我建议研究乞讨父母的社会蝌蚪 通过跳舞来获取食物。蝌蚪利用这种乞讨表现来编码营养状态，使我们能够量化饥饿—— 基础上的沟通。这些蝌蚪是半透明的，使我们能够直观地看到蝌蚪的发育和活动。 大脑中的神经元。我将这种新颖的模型系统和行为范式与先进的相结合 神经遗传学工具来询问基于饥饿的交流的神经元基质。我会检查 营养质量是否影响调节摄食和交流的神经元的发育 与体内脑成像。我还将测试这些神经元细胞类型在乞讨行为中的功能作用 使用高通量行为测定、全脑清除和免疫组织化学以及细胞特异性 神经元活动的操纵。由于社会认可对于建立亲子关系很重要，我 然后将使用体内神经活动成像来确定蝌蚪如何使用多模式识别其父母 感觉统合。完成这些实验将改变我们对社会行为的理解 对于婴儿的生存和终生福祉至关重要。这项研究的迫切需要是因为 目前还没有建立模型来研究婴儿饥饿交流的神经机制。这 工作对公共卫生很重要，因为美国儿童最常见的一些疾病 各州正在与饮食有关的疾病和状况，涉及社会认可和 沟通，例如自闭症谱系障碍。更多关于婴儿喂养和沟通的研究正在 需要更好地了解我们社会最年轻成员的这些病症。