Integrating EEG/MEG and fMRI

整合 EEG/MEG 和 fMRI

• 批准号: 9152120
• 负责人: Richard Coppola
• 金额: $ 30.09万
• 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/9152120
• 关键词: Address; Anterior; Area; Attenuated; Blood flow; Brain; Brain Part; Brain region; Cereals; Clinical; Cognitive; Coupling; Electroencephalography; Family member; Frequencies; Functional Magnetic Resonance Imaging; Functional disorder; Genes; Genetic; Genotype; Imaging Techniques; Individual Differences; Investigation; Measurement; Measures; Memory; Methods; Neurons; Pathology; Patients; Pattern; Pharmaceutical Preparations; Process; Protocols documentation; Relative (related person); Resolution; Rest; Schizophrenia; Short-Term Memory; Siblings; Sodium Channel; Source; Task Performances; Time; Variant; behavioral outcome; cingulate cortex; cognitive performance; cognitive task; cohort; gamma-Aminobutyric Acid; healthy volunteer; improved; indexing; information processing; neurophysiology; volunteer

Our earlier basic studies have shown that MEG recordings during cognitive tasks have the ability to localize brain activity in comparable fashion to functional MRI. In specific, reduction in power in the beta frequency band at the cortex in general agrees with BOLD activation results. However, electrophysiological recordings such as the MEG/EEG have fine grained time dynamics not possible with other imaging techniques. We have also found that GABA (gamma-aminobutyric acid) concentration in the anterior cingulate cortex correlates with spatially localized resting MEG beta band power. We have expanded the cohort of well-matched subjects and isolated specific frequency band difference especially in the high gamma range (65 to 115 Hz). Differences in the degree of activation especially in frontal regions as indexed by beta desynchronization during a working memory task have been found between patients with schizophrenia compared to well siblings and healthy control volunteers. Previously we have seen that this activation reveals an interaction with genotype for the well-studied COMT marker. With groups of patients, siblings and controls matched for working memory task performance, patients show a distinct reduced DLPFC activation in apparent distinction to an increase in BOLD relative to task load. The MEG analysis isolates a working memory component that may reflect a different aspect of cortical processing. We have extended these results to examine differences in the high gamma band across groups. The relation of the different frequency bands to patterns of blood flow activation have revealed more specific targets for the neurophysiology underlying patient differences. We are now also comparing these differences in patients on and off anti-psychotic medication. It appears that medication may attenuate the PFC differences. We are also extending our genetic comparisons to examine modulation by SCN2A, a gene encoding the alpha-2 subunit of the sodium channel. Other studies have shown variation in cognitive performance across group, with MEG source localization showing significant differences in DLPFC and dACC for genotype by task interactions. Differences in network patterns and dynamics are key to understanding underlying pathology in clinical groups. Previously Bassett et al. have shown that functional network variations in patient groups can be related to behavioral outcomes on cognitive activities. We have found distinct patterns of the temporal sequence of brain regions involved in these memory tasks that show a variety of individual differences across subjects. We are continuing to utilize a variety of new measures to examine the flow of information in relation to cognitive task demand. We previously demonstrated that critical dynamics exist in resting MEG recordings and are now expanding this to compare patients with schizophrenia.

我们早期的基础研究表明，认知任务期间的脑磁图记录能够以与功能性 MRI 类似的方式定位大脑活动。具体而言，皮层 β 频段功率的降低总体上与 BOLD 激活结果一致。然而，MEG/EEG 等电生理记录具有其他成像技术无法实现的细粒度时间动态。 我们还发现前扣带皮层中的 GABA（γ-氨基丁酸）浓度与空间局部静息 MEG β 带功率相关。我们扩大了匹配良好的受试者队列，并隔离了特定频段差异，特别是在高伽马范围（65 至 115 Hz）中。 与健康的兄弟姐妹和健康对照志愿者相比，精神分裂症患者在工作记忆任务期间以β去同步化为指标的激活程度存在差异，特别是额叶区域的激活程度。之前我们已经看到，这种激活揭示了经过充分研究的 COMT 标记与基因型的相互作用。 在工作记忆任务表现匹配的患者、兄弟姐妹和对照组中，患者表现出 DLPFC 激活明显减少，这与 BOLD 相对于任务负荷的增加有明显区别。 MEG 分析分离出可能反映皮层处理不同方面的工作记忆成分。我们扩展了这些结果来检查各组间高伽玛波段的差异。不同频段与血流激活模式的关系揭示了患者差异背后的神经生理学的更具体目标。 我们现在还在比较服用和不服用抗精神病药物的患者的这些差异。 药物似乎可以减弱 PFC 的差异。 我们还扩展了基因比较，以检查 SCN2A 的调节作用，SCN2A 是编码钠通道 α-2 亚基的基因。其他研究表明，不同群体的认知表现存在差异，MEG 源定位显示 DLPFC 和 dACC 基因型因任务交互而存在显着差异。 网络模式和动态的差异是理解临床群体潜在病理学的关键。此前巴塞特等人。研究表明，患者群体的功能网络变化可能与认知活动的行为结果有关。我们发现参与这些记忆任务的大脑区域的时间序列有不同的模式，这些模式显示出受试者之间的各种个体差异。我们正在继续利用各种新的措施来检查与认知任务需求相关的信息流。 我们之前证明了静息 MEG 记录中存在关键动态，现在正在扩展这一点以比较精神分裂症患者。