Real-time fMRI Neurofeedback Based Stratification of Default Network Regulation

基于实时功能磁共振成像神经反馈的默认网络调节分层

• 批准号: 8705608
• 负责人: Richard Cameron Craddock
• 金额: $ 62.36万
• 依托单位: NATHAN S. KLINE INSTITUTE FOR PSYCH RES
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-23 至 2017-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8705608
• 关键词: Address; Adult; Affective; Age; Architecture; Attention; Behavioral; Binding; Brain; Brain region; Cataloging; Catalogs; Categories; Classification; Clinical; Cluster Analysis; Cognition; Cognitive; Communities; Data; Diffusion Magnetic Resonance Imaging; Dimensions; Disease; Emotional; Emotions; Evolution; Exclusion Criteria; Failure; Feedback; Functional Magnetic Resonance Imaging; Functional disorder; Funding; Future; Goals; Image; Impairment; Individual; Individual Differences; Institutes; International; Investments; Learning; Left; Link; Maps; Measures; Memory; Mental disorders; Mind; National Institute of Mental Health; Nature; Neurocognitive; Neurosciences; Participant; Pattern; Performance; Phenotype; Process; Property; Protocols documentation; Regulation; Research Domain Criteria; Research Infrastructure; Rest; Risk; Sampling; Source; Specificity; Stratification; Symptoms; System; Testing; Time; Treatment outcome; Variant; Work; base; computerized; cost; data sharing; indexing; innovation; insight; multitask; neurofeedback; neuroimaging; novel; outcome forecast; prevent; public health relevance; trait

DESCRIPTION (provided by applicant): The default network (DN) is a distributed pattern of brain regions associated with spontaneous cognition, internalized thought and emotional regulation that are consistently deactivated during the performance of goal- driven cognitive tasks. Failure to appropriately activate or deactivate the DN during performing of cognitive tasks is increasingly being implicated in psychiatric illness, with little specificity regarding disorderor attention to symptom domain. Further challenges arise from limitations of task-based and resting state functional MRI imaging approaches that have left the field with little insight into te nature of DN dysregulation (i.e. inability to modulate DN activity as opposed to the tendency to do so) in the various disorders. Consistent with the Research Domain Criteria Project (R-DoC), the proposed work capitalizes on recent innovations in real-time fMRI (RT-fMRI) based neurofeedback to provide a dimensional profile of DN regulation that can be linked to cognitive and psychiatric phenotyping profiles, as well as underlying brain architecture. Specifically, we propose a multi-faceted imaging study that characterizes DN regulation using a combination of neurofeedback RT-fMRI, to assess an individual's ability to modulate the DN, and task-based fMRI activation and deactivation (i.e., the self-referential processing task and the multi-source interference, respectively) to assess an individuals tendency to modulate the DN. Consistent with the "agnostic" approach promoted by R- DoC, we focus on a community-ascertained sample of 180 adults (ages: 25-40 years old), using minimally restrictive psychiatric exclusion criteria. The comprehensive phenotyping protocol established by the Nathan Kline Institute Rockland Sample (NKI-RS) will be used to characterize a range of psychiatric and cognitive domains. Successful completion of the proposed work will serve to: 1) Establish the relationship between DN modulation capacity as measured by RT-fMRI and DN modulation tendency as measured by task-related DN activation and deactivations, 2) link multidimensional imaging-based DN modulation and phenotypic profiles, and 3) link multidimensional DN modulation profiles to the brain's functional and structural architecture, as assessed by resting state fMRI and diffusion tensor imaging.

描述（由申请人提供）：默认网络（DN）是与自发认知、内化思维和情绪调节相关的大脑区域的分布式模式，这些区域在执行目标驱动的认知任务期间始终处于停用状态。在执行认知任务期间未能适当激活或停用 DN 越来越多地与精神疾病有关，而对症状领域的障碍或注意力缺乏特异性。进一步的挑战来自于基于任务和静息态功能 MRI 成像方法的局限性，这些局限性使得该领域对各种疾病中 DN 失调的本质（即无法调节 DN 活性而不是倾向于调节 DN 活性）知之甚少。与研究领域标准项目 (R-DoC) 一致，拟议的工作利用基于实时功能磁共振成像 (RT-fMRI) 的神经反馈的最新创新，提供 DN 调节的维度特征，该特征可以与认知和精神表型特征以及潜在的大脑结构相关联。具体来说，我们提出了一项多方面的成像研究，该研究结合使用神经反馈 RT-fMRI 来表征 DN 调节，以评估个体调节 DN 的能力，以及基于任务的 fMRI 激活和停用（分别即自我参照处理任务和多源干扰）来评估个体调节 DN 的倾向。与 R-DoC 提倡的“不可知论”方法一致，我们使用最低限度限制性精神病学排除标准，重点关注社区确定的 180 名成年人（年龄：25-40 岁）样本。由内森·克莱恩研究所罗克兰样本 (NKI-RS) 建立的综合表型分析方案将用于表征一系列精神和认知领域。成功完成拟议工作将有助于：1）建立通过 RT-fMRI 测量的 DN 调制能力与通过任务相关 DN 激活和失活测量的 DN 调制趋势之间的关系，2）将基于多维成像的 DN 调制和表型概况联系起来，3）将多维 DN 调制概况与大脑的功能和结构架构联系起来（通过静息状态评估） fMRI 和扩散张量成像。