NIMH MEG Core Facility

NIMH MEG 核心设施

• 批准号: 9567429
• 负责人: Richard Coppola
• 金额: $ 188.3万
• 依托单位: NATIONAL INSTITUTE OF MENTAL HEALTH
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9567429
• 关键词: Address; American; Amygdaloid structure; Anatomy; Anterior; Antidepressive Agents; Anxiety; Atlases; Auditory; Brain; Brain region; Chemosensitization; Clinical; Cognition; Cognitive; Collaborations; Color; Communication; Communities; Complex; Computer software; Core Facility; Data; Data Analyses; Data Collection; Data Security; Detection; Development; Diffusion Magnetic Resonance Imaging; Dimensions; Disease; Educational workshop; Electrodes; Electroencephalography; Electronics; Entropy; Equipment; Event; Experimental Designs; Eye Movements; Frequencies; Functional Magnetic Resonance Imaging; Functional disorder; Funding; Genes; Graph; Head; Helmet; Hippocampus (Brain); Human; Impairment; Information Systems; Infusion procedures; Instruction; Ketamine; Laboratories; Learning; Light; MRI Scans; Magnetoencephalography; Magnetometries; Major Depressive Disorder; Measures; Memory; Mental disorders; Methods; Mission; Modality; Modeling; Monitor; National Institute of Child Health and Human Development; National Institute of Mental Health; National Institute of Neurological Disorders and Stroke; National Institute on Deafness and Other Communication Disorders; Neurosciences Research; Nutmeg - dietary; Patients; Pattern; Photic Stimulation; Positioning Attribute; Procedures; Property; Protocols documentation; Research; Research Design; Research Infrastructure; Resistance; Rest; Scalp structure; Schedule; Sensory; Short-Term Memory; Signal Transduction; Sodium Channel; Source; Statistical Computing; Statistical Data Interpretation; Stimulus; Structure; Synapses; System; Techniques; Technology; Testing; Time; Tissues; Training; Visual; Work; base; cognitive task; cranium; data archive; design; experience; experimental study; falls; improved; independent component analysis; interest; magnetic field; meetings; millisecond; relating to nervous system; repaired; response; scientific computing; sensor; signal processing; somatosensory; superconducting quantum interference device; synergism; temporal measurement; tool; visual stimulus

The MEG Core staff works interactively with a large group of PIs in NIMH, NINDS, and NIDCD, and NICHD for study design, task development, acquisition protocols, signal processing and data analysis. Procedures for data security, transfer and storage have been improved by moving the main data archive to the Helix maintained NIMH data store. Work with the Scientific and Statistical Computing Core to enable transfer of CTF MEG files to AFNI and developed tools for group statistical analysis was previously extended to include an extra-dimensional format to facilitate time-based connectivity across subject groups. This has been expanded to allow time-dimension comparison across subjects and groups. The comparisons can now be analyzed using anatomic atlas based alignment across subject. Signal analysis development has continued on event-related SAM (synthetic aperture magnetometry) and 275-channel ICA (independent component analysis). Development of time-frequency analysis methods has includedincludes Stockwell and wavelet transforms as well as multi-taper techniques. The analysis packages extended to include symbolic entropy measures and transfer entropy mutual information techniques to explore brain networks are in use by a number of user groups and are now being applied to eCOG data (these are direct cortical recordings). The ability to use SAM beamformer methods to analyze MEG signals during and after tACS (transcranial alternating current stimulation) as well as tDCS (transcranial direct current stimulation) has allowed exploration of effects on brain rhythms and memory and several studies are now underway by Dr. Cohen's group. An early test version of the upgraded package that will replace the external electronics has beenwas tested and performed properly across all channels.last year and the final version is now scheduled for installation Full installation is planned for fall 20176. The new eye-movement monitoring system previously installed and tested continues to contribute to cognitive activation paradigms. System reliability has been substantially improved after power system repairs. Several users are interested in pursuing studies with carefully controlled color visual stimuli. A new high quality visual stimulation system is being installed. Early work by Cornwell and colleagues demonstrated that MEG can reliably discriminate amygdala and hippocampal signals using MEG beamforming techniques. Continuing studies have shown that hippocampal function is impaired in patients with major depression as well as other brain changes when treated with ketamine. Further studies have shown that fast gamma activity in the hippocampus correlates with spatial learning. These studies are of particular interest to possibly elucidate the mechanism of the anti-depressant action of ketamine infusion. Previous results have shown that both increased anterior cingulate activity and functional connectivity during a working memory task can predict the antidepressant response of ketamine. Zarate and colleagues have utilized MEG to show that synaptic potentiation is critical for the antidepressant action in treatment resistant major depression. Previously Nugent et al. have shown group differences in MEG resting data that highlight dysfunction in major depressive disorder. This has now been extended to explore the network changes with ketamine administration. SDr Nugent has continued this work and has developed new analysis methods (multiband ICA) that high light the brain network changes across treatment and clinical groups.tudies continue to explore high gamma band activity across task and patient groups. Interaction with specific sodium channel genes finds that the cognitive differences may be related to gamma band activity. Studying how the brain organizes itself into functional networks is key to understanding normal human cognition as well as when it becomes disordered in mental illness. Previously, Bassett and co-workers using the spatial and temporal ability of MEG found that functional networks were characterized by small-world properties indicating a mix of both local connections and long range connections. We have also found differences in resting network patterns in patient groups, and have now used graph theoretical methods to examine functional networks. Functional connectivity metrics have been studied in an audio-visual task demonstrating that the communication across brain regions takes on several forms and that no one measure will suffice to capture the richness of information flow. New work by Grillon and Balderston has shown connectivity changes during anxiety manipulation. The proposed project to relate MEG dynamics to a new Diffusion Tensor Imaging (DTI) measure for determining latency across brain regions developed by Peter Basser's group was funded and protocol planning is underway. With Drs. Coppola and Nugent as co-chairs a two-day MEG Workshop was organized to bring together the North American MEG research community. Attendance was very strong and the community felt that such a meeting was long overdue. Several panels addressed the value-added aspect of MEG neuroscience research and how a supportive infrastructure can be advanced. A follow-on meeting will be held to build collaboration and synergy across laboratories.

MEG 核心工作人员与 NIMH、NINDS、NIDCD 和 NICHD 的一大群 PI 进行互动合作，进行研究设计、任务开发、采集协议、信号处理和数据分析。通过将主数据存档移至 Helix 维护的 NIMH 数据存储，改进了数据安全、传输和存储程序。与科学和统计计算核心合作，将 CTF MEG 文件传输到 AFNI，并为组统计分析开发的工具先前已扩展为包含超维格式，以促进跨学科组基于时间的连接。这一功能已得到扩展，可以进行跨学科和跨群体的时间维度比较。现在可以使用基于解剖图谱的跨受试者对齐来分析比较。 与事件相关的 SAM（合成孔径磁力测量）和 275 通道 ICA（独立分量分析）信号分析的开发仍在继续。时频分析方法的发展包括斯托克韦尔和小波变换以及多锥度技术。分析包扩展到包括符号熵测量和转移熵互信息技术来探索大脑网络，许多用户组正在使用这些技术，并且现在正应用于 eCOG 数据（这些是直接皮质记录）。使用 SAM 波束形成器方法分析 tACS（经颅交流电刺激）和 tDCS（经颅直流电刺激）期间和之后的 MEG 信号的能力使得能够探索对大脑节律和记忆的影响，并且 Dr.科恩的小组。 升级包的早期测试版本将取代外部电子设备，已在所有渠道进行了测试并正常运行。去年，最终版本现已计划安装。计划于 20176 年秋季全面安装。新的眼动监测系统先前安装和测试的继续有助于认知激活范例。电力系统修复后，系统可靠性得到大幅提高。一些用户有兴趣通过仔细控制的颜色视觉刺激进行研究。正在安装新的高质量视觉刺激系统。 Cornwell 及其同事的早期工作表明，MEG 可以使用 MEG 波束形成技术可靠地区分杏仁核和海马信号。持续的研究表明，在接受氯胺酮治疗时，重度抑郁症患者的海马功能会受损，并且还会出现其他大脑变化。进一步的研究表明，海马体中的快速伽玛活动与空间学习相关。这些研究对于阐明氯胺酮输注的抗抑郁作用机制特别感兴趣。先前的结果表明，工作记忆任务期间前扣带回活动和功能连接的增加可以预测氯胺酮的抗抑郁反应。 Zarate 及其同事利用 MEG 证明，突触增强对于治疗难治性重度抑郁症的抗抑郁作用至关重要。此前纽金特等人。已显示 MEG 静息数据的组间差异，突出了重度抑郁症的功能障碍。现在已扩展到探索氯胺酮管理的网络变化。 SDr Nugent 继续开展这项工作，并开发了新的分析方法（多波段 ICA），突出显示治疗组和临床组中大脑网络的变化。研究继续探索任务组和患者组中的高伽马能带活动。与特定钠通道基因的相互作用发现认知差异可能与伽马带活动有关。 研究大脑如何将自身组织成功能网络是理解人类正常认知以及精神疾病时认知紊乱的关键。此前，Bassett 和同事利用 MEG 的空间和时间能力发现，功能网络的特点是小世界属性，表明本地连接和远程连接的混合。我们还发现了患者组中静息网络模式的差异，并且现在使用图论方法来检查功能网络。在一项视听任务中对功能连接指标进行了研究，表明大脑区域之间的通信采取多种形式，并且没有任何一种措施足以捕获信息流的丰富性。格里隆和巴尔德斯顿的新研究表明，在焦虑操纵过程中，连通性会发生变化。 Peter Basser 小组开发的拟议项目将 MEG 动力学与新的扩散张量成像 (DTI) 测量方法联系起来，用于确定跨大脑区域的延迟，该项目已获得资助，协议规划正在进行中。 与博士。 Coppola 和 Nugent 作为联合主席组织了为期两天的 MEG 研讨会，将北美 MEG 研究界聚集在一起。出席人数非常多，社区认为这样的会议早就应该召开了。几个小组讨论了 MEG 神经科学研究的增值方面以及如何推进支持性基础设施。将举行后续会议，以建立实验室之间的合作和协同作用。