Cognitive Neuroscience Core

项目摘要：认知神经科学核心 第一阶段的脑电(EEG)核心将转变为认知神经科学 (CN)2期核心，增加经颅磁刺激(TMS)和重复TMS(RTMS)套件 再加上脑电波。位于堪萨斯州立大学(K-State)的CN Core将提供资源， 设备和技术支持，以增强CNAP项目和计划的研究能力。这个 CN Core将购买TMS/rTMS设备，使用虚拟损伤和神经调节进行研究， 两项重要的技术可以对认知和神经可塑性进行因果测试。新设备 将与脑电/经颅MS专家、前联席主任杰弗里·约翰逊博士进行磋商 北达科他州立大学科布雷视觉中心的高密度脑电/神经刺激核心 和认知神经科学(CVCN)。CVCN是CNAP科学交流网络(SEN)的成员。Dr。 约翰逊将帮助建立新的TMS/rTMS，并集成EEG套件，并计划与他进行合作 (例如，与研究项目负责人Wisniewski)将继续加强特殊教育需求。CN Core将提供 研究人员使用霍格伦德的结构和功能磁共振成像(MRI)设施 生物医学成像中心(堪萨斯大学医学中心的SEN合作伙伴)和结构磁共振，网址为 当地一家医院(堪萨斯州曼哈顿克里斯蒂的阿森松)。获得核磁共振对于靶向脑部区域至关重要 对TMS研究的兴趣和在脑电研究中极大地提高源定位精度。为了进一步 培养一大批研究人员，CN Core将在#年聘请一名新的终身教职教师 在TMS/rTMS方面有研究专长的心理学。它还将提供以下协作机会 Wisniewski博士，几位目前和拟议中的EEG和/或TMS项目的研究人员(Bailey，Pitts， Loschky，Young，Zakrzewski)和其他CNAP成员。CN Core将为新用户提供培训， 例如CN核心专家和设备制造商的研讨会。诸如无线等外展活动 移动EEG演示将提高CN Core在园区内外的可见性。这些活动将 促进发展认知和神经可塑性方面的研究人员的倡议。CN核心将 利用神经信息学(NI)核心支持EEG、MRI和TMS/rTMS数据分析和存储。美国国家创新网络 核心强大的计算资源是CN核心高密度脑电、磁共振和TMS/rTMS的关键 能力。CN和NI Core GRAS将扩展正在进行的独立成分分析(ICA)和神经 解码分析，以开发新的机器学习/人工智能工具，供用户建模数据。通过 CN Core提供对EEG、TMS/rTMS和MRI设备、资源和培训机会的访问 将通过提供两个密钥来促进CNAP研究人员成功竞争外部资金的能力 回答认知神经科学中最具挑战性的问题的技术和技术支持。

PROJECT SUMMARY: COGNITIVE NEUROSCIENCE CORE The Electroencephalography (EEG) Core from Phase 1 will be transformed into the Cognitive Neuroscience (CN) Core in Phase 2 by adding a transcranial magnetic stimulation (TMS) and repetitive TMS (rTMS) suite coupled with EEG. Located at Kansas State University (K-State), the CN Core will provide resources, equipment, and technical support to enhance the research capabilities of CNAP projects and programs. The CN Core will purchase TMS/rTMS equipment, enabling research using virtual lesions and neuromodulation, two important techniques allowing causal tests of cognitive and neural plasticity. The new equipment developments will occur in consultation with Dr. Jeffrey Johnson, an EEG/TMS expert and former Co-Director of the High-Density EEG/Neurostimulation Core at North Dakota State University’s COBRE Center for Visual and Cognitive Neuroscience (CVCN). The CVCN is a CNAP Scientific Exchange Network (SEN) member. Dr. Johnson will help establish the new TMS/rTMS with integrated EEG suite, and planned collaborations with him (e.g., with research project leader Wisniewski) will continue to strengthen the SEN. The CN Core will provide researchers access to structural and functional magnetic resonance imaging (MRI) facilities at the Hoglund Biomedical Imaging Center (an SEN partner at the University of Kansas Medical Center) and structural MRI at a local hospital (Ascension Via Christi, Manhattan, KS). Access to MRI is crucial for targeting brain areas of interest in TMS research and greatly increasing source localization accuracy in EEG research. To further develop a critical mass of researchers, the CN Core will hire a new tenure-track faculty member in Psychological Sciences with research expertise in TMS/rTMS. It will also provide collaborative opportunities for Dr. Wisniewski, several researchers with current and proposed EEG and/or TMS projects (Bailey, Pitts, Loschky, Young, Zakrzewski), and other CNAP members. The CN Core will provide training to new users, such as workshops by CN Core experts and equipment manufacturers. Outreach activities such as wireless mobile EEG demonstrations will increase CN Core visibility both on- and off-campus. These activities will promote initiatives to develop a critical mass of researchers in cognitive and neural plasticity. The CN Core will utilize the Neuroinformatics (NI) Core to support EEG, MRI, and TMS/rTMS data analyses and storage. The NI Core’s powerful computing resources are crucial for the CN Core high-density EEG, MRI and TMS/rTMS capabilities. CN and NI Core GRAs will expand ongoing independent components analyses (ICA) and neural decoding analyses to develop novel machine learning/artificial intelligence tools for users to model data. By providing access to EEG, TMS/rTMS, and MRI equipment, resources, and training opportunities, the CN Core will promote CNAP researchers’ ability to successfully compete for extramural funding by providing both key technologies and technical support to answer the most challenging questions in cognitive neuroscience.