Non-invasive attentional network modulation

非侵入性注意力网络调制

• 批准号: 10369082
• 负责人: Mark A Halko
• 金额: $ 76.38万
• 依托单位: MCLEAN HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10369082
• 关键词: Acute; Alzheimer' s Disease; Architecture; Attention; Base of the Brain; Behavior; Behavioral; Behavioral Assay; Biological Assay; Brain; Clinical; Cognition; Cognitive; Communication; Complex; Data; Disease; Dorsal; Electronic Medical Records and Genomics Network; Generations; Goals; Health; Human; Image; Individual; Intervention; Link; Measures; Mental Depression; Mental Health; Methods; Modeling; Network-based; Neurologic; Neurosciences; Outcome; Parietal; Participant; Pathway Analysis; Pattern; Performance; Population; Post-Traumatic Stress Disorders; Process; Proxy; Schizophrenia; Short-Term Memory; Specificity; System; Task Performances; Testing; Therapeutic; Therapeutic Intervention; Time; Transcranial magnetic stimulation; Translating; Translations; Variant; Visual attention; Work; base; behavioral outcome; cognitive change; cognitive neuroscience; cognitive performance; cognitive process; cognitive system; design; improved; information processing; interest; network models; neural information processing; neural model; neural network; neuroimaging; neuroregulation; next generation; noninvasive brain stimulation; predictive modeling; prototype; relating to nervous system; sustained attention; therapy development

PROJECT SUMMARY Brain networks serve as the architecture from which cognition emerges. A wide range of neurological and psychiatric conditions are now thought to originate from deficiencies in network processing. Typical analysis of deficiency of these networks focuses on using either intrinsically motivated task differences or across-subjects variation in performance that is in turn related to networks. An alternative experimental approach is to perform neuromodulation on circuits to casually link network function to behavior. Also, a common thread of network analysis is the utilization of the temporal correlation to examine behavior. New models of how cognition emerges from network activity should consider the richness of information that is lost with correlational reductionism. In the proposed 5-year project we utilize a complex task which informs the organization of the visual attention system and combine neuroimaging and neuromodulation to interrogate the function of these networks. We seek to model cognitive performance from neuroimaging data using non-correlational methods to go beyond time-invariant correlational connectivity measures. We also seek to interrogate not one network, but multiple networks, with externally driven transcranial magnetic stimulation to isolate relative contributions of separate networks to behavioral performance. Finally, we seek to examine how neuromodulation of cognitive systems differs over multiple days of neuromodulation. Across all project aims, we intend to utilize the cognitive neuroscience of visual attention as a proxy for translation into clinical intervention on deficient networks. These studies seek to close the wide translational gap between cognitive neuroscience and clinical neuromodulation, where cognitive neuroscience studies can rapidly prototype clinical intervention.

项目摘要 大脑网络是认知出现的结构。广泛的神经系统和 现在，精神病疾病被认为源于网络处理中的缺陷。典型的分析 这些网络的不足重点是使用内在动机的任务差异或跨主体 性能的变化反过来与网络有关。另一种实验方法是执行 在电路上的神经调节，以随便将网络功能与行为联系起来。另外，网络的共同线程 分析是时间相关性检查行为的利用。认知方式的新模型 从网络活动中出现应该考虑随着相关性而丢失的信息的丰富性 还原主义。在拟议的5年项目中，我们采用了一项复杂的任务，该任务告知组织 视觉注意系统并结合神经影像学和神经调节以询问这些功能 网络。我们寻求使用非相关方法从神经影像数据中对认知性能进行建模 超越时间不变的相关连接度量。我们还试图询问一个网络， 但是多个网络，具有外部驱动的经颅磁刺激，以隔离 将网络分开到行为性能。最后，我们试图研究如何认知神经调节 系统在多天的神经调节中有所不同。在所有项目中，我们打算利用 视觉注意力的认知神经科学作为转化为临床干预的代理 网络。这些研究旨在缩小认知神经科学与临床之间的巨大翻译差距 神经调节，认知神经科学研究可以快速原型临床干预。