NCS-FO: SOUND: Understanding the Functional Neural Dynamics Underpinning Auditory Processing Dysfunctions through a Multiscale Recording-Stimulation Framework

NCS-FO：声音：通过多尺度记录刺激框架了解支撑听觉处理功能障碍的功能神经动力学

• 批准号: 2024418
• 负责人: Yalda Shahriari
• 金额: $ 49.99万
• 依托单位: University of Rhode Island
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2024418&HistoricalAwards=false
• 关键词: NCS; FO; SOUND; Understanding; Functional

Auditory processing dysfunction (APD) is a common feature of many types of psychosis, including schizophrenia, and is associated with multiple core symptoms, including auditory verbal hallucinations (i.e. hearing voices). Despite APD’s high prevalence, affecting up to 80% of the psychotic population, pharmaceutical therapy is ineffective: 70% of patients either have undesirable side effects or experience persistent symptoms despite treatment. A non-pharmacological treatment strategy, such as neuromodulation (targeted stimulation of nerves), would meet an important medical need. Although neuromodulation has recently emerged as a plausible therapeutic tool for a range of neuropsychological conditions, little is understood of the abnormal neural patterns underlying APD. This project will utilize an innovative framework, integrating multiscale recording and stimulation, to explore APD and to elucidate its underlying mechanisms. The project unites a multidisciplinary team of researchers, including experts in neural signal processing, neuroscience, psychiatry, and deep learning. The proposed work will develop computational, data-driven approaches in real-world settings. These will investigate multimodal signals with distinct spatiotemporal properties, integrated with a neuroimaging study of psychosis with APD. In addition to the scientific impacts of this proposal, the proposed work will advance national health by addressing multiple existing gaps in neuroscience and psychiatry. The educational and outreach plans will provide training opportunities for women and under-represented minoroties, promoting STEM diversity in the Northeastern United States.This project has three main thrusts. All of the proposed frameworks are data-driven and will be tested on healthy controls and patients with schizophrenia, in whom APD is a core feature. The first thrust will develop a computational statistical approach to quantify hierarchical couplings between hemodynamic infra-slow oscillations (using fNIRS), and electrical high-frequency oscillations (using EEG), through a nested multimodal approach in auditory task-related settings. The second thrust introduces an innovative multimodal data fusion approach to exploit complementary strengths from electrical and vascular dynamics, toward an integrative understanding of APD. This will enable identification of across-subject and within-subject signals underlying APD. The third thrust will extent beyond functional investigations and into causal dynamics across large-scale networks. The research will develop fused causal models, to identify subject-specific causal patterns of APD, and to create individualized spatial target mapping for optimal site stimulation. The precise locations of aberrant causal patterns will be targets for transcranial direct-current stimulation (tDCS). Project outcomes include the introduction of an innovative computational data fusion approach to bridge distinct spatiotemporal scales; discovery of latent signatures and causal patterns of APD through novel neural information processing; insight into APD hierarchical mechanisms, and understanding of the cortical modulatory properties of APD.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

听觉处理功能障碍（APD）是包括精神分裂症在内的许多类型精神病的共同特征，并与多种核心症状相关，包括听觉言语幻觉（即听到声音）。尽管APD的患病率很高，影响了高达80%的精神病患者，但药物治疗无效：70%的患者要么有不良副作用，要么在治疗后出现持续症状。非药物治疗策略，如神经调节（神经的靶向刺激），将满足重要的医疗需求。虽然神经调节最近已经成为一个合理的治疗工具，一系列的神经心理条件，很少被理解的异常神经模式的APD。本项目将利用一个创新的框架，整合多尺度记录和刺激，探索APD和阐明其潜在的机制。该项目联合了一个多学科的研究团队，包括神经信号处理，神经科学，精神病学和深度学习方面的专家。拟议的工作将在现实世界中开发计算，数据驱动的方法。这些将调查具有不同时空特性的多模态信号，并与APD精神病的神经影像学研究相结合。除了这项提案的科学影响外，拟议的工作还将通过解决神经科学和精神病学方面的多个现有差距来促进国家健康。教育和推广计划将为妇女和代表性不足的少数民族提供培训机会，促进美国东北部STEM的多样性。所有提出的框架都是数据驱动的，并将在健康对照和精神分裂症患者中进行测试，其中APD是核心特征。第一个推力将开发一种计算统计方法，通过听觉任务相关设置中的嵌套多模态方法来量化血流动力学亚慢振荡（使用fNIRS）和电高频振荡（使用EEG）之间的分层耦合。第二个推力介绍了一种创新的多模态数据融合方法，利用互补的优势，从电气和血管动力学，对APD的综合理解。这将能够识别APD的跨受试者和受试者内信号。第三个重点将超越功能性调查，进入大规模网络的因果动态。该研究将开发融合的因果模型，以确定APD的受试者特异性因果模式，并创建个性化的空间目标映射以获得最佳部位刺激。异常因果模式的精确位置将是经颅直流电刺激（tDCS）的目标。项目成果包括：引入创新的计算数据融合方法，以连接不同的时空尺度;通过新的神经信息处理发现APD的潜在特征和因果模式;深入了解APD分级机制，该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识产权进行评估来支持。优点和更广泛的影响审查标准。

项目成果

Phase-Amplitude Coupling Between EEG Cortical Oscillations and Respiration: An Exploratory Study

• DOI: 10.1109/ner52421.2023.10123888
• 发表时间: 2023-04
• 期刊: 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)
• 作者: J. McLinden;S. B. Borgheai;C. Kumar;N. Rahimi;M. Shao;K. Spencer;Y. Shahriari

Adversary on Multimodal BCI-based Classification

基于多模式 BCI 分类的对手

• 发表时间: 2023
• 期刊: 11th International IEEE EMBS Conference on Neural Engineering
• 作者: Kumar, Chetan;Donohue, James P.;Gonjari, Rohan;Rahimi, Neela;McLinden, John;Shahriari, Yalda;Shao, Ming
• 通讯作者: Shao, Ming

Electrovascular Phase-Amplitude Coupling During an Auditory Task

听觉任务期间的电血管相位幅度耦合

• 发表时间: 2023
• 期刊: Electrovascular Phase-Amplitude Coupling During an Auditory Task
• 作者: J. McLinden, C. Kumar

Individual-specific characterization of event-related hemodynamic responses during an auditory task: An exploratory study

• DOI: 10.1016/j.bbr.2022.114074
• 发表时间: 2022-09-07
• 期刊: BEHAVIOURAL BRAIN RESEARCH
• 影响因子: 2.7
• 作者: McLinden，J.;Borgheai，S. B.;Shahriari，Y.
• 通讯作者: Shahriari，Y.