Temporal Clustering Analysis for Detection of Irregular Transient fMRI Activation

用于检测不规则瞬态 fMRI 激活的时间聚类分析

• 批准号: 7501934
• 负责人: Victoria L Morgan
• 金额: $ 26.86万
• 依托单位: VANDERBILT UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-30 至 2010-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7501934
• 关键词: Algorithms; Appendix; Bilateral; Blood; Brain; Characteristics; Clinical; Cluster Analysis; Compatible; Controlled Study; Data; Detection; Electroencephalogram; Epilepsy; Event; Foundations; Functional Magnetic Resonance Imaging; Future; Gilles de la Tourette syndrome; Goals; Hallucinations; Image; Image Analysis; Invasive; Localized; Magnetic Resonance Imaging; Methods; Modeling; Outcome; Partial Epilepsies; Patients; Pattern; Performance; Prohibit; Protocols documentation; Reaction Time; Scalp structure; Schizophrenia; Seizures; Series; Signal Transduction; Stimulus; System; Technical Expertise; Techniques; Temporal Lobe Epilepsy; Time; Validation; Work; base; blood oxygen level dependent; clinical research site; cohort; computer generated; human subject; improved; independent component analysis; novel; novel strategies; response; simulation; success; volunteer

DESCRIPTION (provided by applicant): The overall goal of this project is to further develop and evaluate a novel, non-invasive imaging and analysis method for the detection and localization of transient, repeated, but irregular changes in brain activity using functional Magnetic Resonance Imaging (fMRI). The method, 2dTCA, is based on the Temporal Clustering Analysis (TCA) of series of fMRI images and will be developed primarily to detect and localize interictal brain activity in focal epilepsy. In the proposed work, the 2dTCA image analysis algorithms and fMRI imaging protocol will first be evaluated and validated in control studies in human subjects where the timing of the stimulus is known. The validated protocol will then be performed with simultaneous electroencephalogram (EEG) recordings in two cohorts of focal epilepsy patients, (1) those with unilateral ictal discharges on scalp EEG, and (2) those with bilateral ictal discharges on scalp EEG. These data will be used to determine the relationship between the blood oxygenation responses detected and localized by fMRI and 2dTCA alone, the blood oxygenation responses identified by fMRI and simultaneous EEG, and the EEG activity at the scalp. In addition, quantitative analyses of the EEG patterns will be used to identify features of the EEG signals that may be initiating and correspond to the 2dTCA detected oxygenation response. The ultimate outcomes of the proposed study will be (1) a novel and much more clinically practical technique for detection and localization of random, transient BOLD signals that would expand analysis methods for examining interictal (between seizure) activity in epilepsy, as well as other involuntary activation models such as tics in Tourette Syndrome and hallucinations in patients with schizophrenia, and (2) a more complete understanding of the epileptic interictal activity detected by 2dTCA and its relationship to scalp EEG. This study is the foundation of a comprehensive clinical validation in the use of 2dTCA and fMRI in the identification of the seizure focus in epilepsy. If successful, the ability to utilize the spatial localization capabilities of fMRI will be available to those majority of clinical sites that cannot afford MRI-compatible EEG systems and the technical expertise required to use them, and for those patients whose lack of sufficient activity on scalp EEG prohibits the use of the simultaneous EEG methods.

描述（由申请人提供）：该项目的总体目标是进一步发展和评估一种新的，非侵入性的成像和分析方法，用于使用功能磁共振成像（fMRI）检测和定位短暂的，重复的，但不规则的大脑活动变化。该方法名为2dTCA，是基于一系列功能磁共振成像图像的时间聚类分析（TCA），将主要用于检测和定位局灶性癫痫的间歇期脑活动。在这项工作中，2dTCA图像分析算法和fMRI成像方案将首先在已知刺激时间的人类受试者对照研究中进行评估和验证。经过验证的方案将在两组局灶性癫痫患者中同时进行脑电图（EEG）记录，(1)头皮脑电图上单侧发作放电的患者，(2)头皮脑电图上双侧发作放电的患者。这些数据将用于确定fMRI和2dTCA单独检测和定位的血氧反应、fMRI和同步脑电图识别的血氧反应以及头皮脑电图活动之间的关系。此外，脑电图模式的定量分析将用于识别可能启动并对应于2dTCA检测到的氧合反应的脑电图信号的特征。这项研究的最终结果将是：(1)一种新的、更具临床实用性的技术，用于检测和定位随机的、短暂的BOLD信号，这将扩展分析方法，用于检查癫痫发作之间的活动，以及其他非自愿激活模型，如图雷特综合征的抽搐和精神分裂症患者的幻觉；(2)更全面地了解2dTCA检测的癫痫间期活动及其与头皮EEG的关系。本研究为应用2dTCA和fMRI鉴别癫痫发作病灶提供了全面的临床验证基础。如果成功，利用fMRI的空间定位能力的能力将提供给那些无法负担mri兼容脑电图系统和使用它们所需的技术专业知识的大多数临床场所，以及那些缺乏足够的头皮脑电图活动禁止使用同步脑电图方法的患者。