课题基金 / 基金详情

Real-time FMRI at High Field / Automatic Classification

Real-time FMRI at High Field / Automatic Classification
高场实时 FMRI/自动分类
批准号:
6935372
负责人:
Stefan Posse
金额:
$26.42万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-09-30 至 2009-08-31

项目摘要

项目成果

Stefan Posse的其他基金

相关文献

中文摘要
翻译
描述(由申请人提供): 本提案是根据RFA EB-03-007的要求提交的,该提案是针对RFA EB-03-007提出的,即高场下具有激活模式自动分类的交互式实时功能磁共振成像。这项应用的目标是进一步开发具有并行成像数据采集和高磁场(4特斯拉)磁化率伪影补偿的高灵敏度多回波脉冲序列,并设计实时数据分析方法,允许根据潜在的认知过程对大脑激活模式进行自动分类。这种方法的可行性已经在1.5特斯拉和4特斯拉的试点研究中得到了证明。第二个目标是通过描述个体受试者认知和情绪过程的神经关联,用交互实验范式来验证这一方法。这种新的实时功能磁共振成像方法适用于广泛的神经科学研究,以及与杏仁核病理有关的各种神经精神疾病,如单相和双相抑郁、焦虑、精神分裂症、精神病和社交恐惧症。
英文摘要
DESCRIPTION (provided by applicant): This proposal, Interactive Real-time fMRI at High Field with Automatic Classification of Activation Patterns is submitted in response to RFA EB-03-007. The objective of this application is to further develop highly sensitive multi-echo pulse sequences with parallel imaging data acquisition and compensation of susceptibility artifacts at high magnetic field (4 Tesla), and to design real-time data analysis methods that allow automatic classification of brain activation patterns in terms of underlying cognitive processes. Feasibility of this methodology has already been shown in pilot studies at 1.5 and 4 Tesla. A secondary goal is to validate this methodology with interactive experimental paradigms by characterizing neural correlates of cognitive and emotional processes in individual subjects. This novel real-time fMRI methodology is applicable to a wide range of neuroscience research and to a variety of neuro-psychiatric conditions in which pathology of the amygdala is implicated, such as unipolar and bipolar depression, anxiety, schizophrenia, psychopathy and social phobia.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.mri.2012.07.010
发表时间: 2013-02
期刊: MAGNETIC RESONANCE IMAGING
影响因子: 2.5
作者: [Zheng, Weili, Ackley, Elena S., Martinez-Ramon, Manel, Posse, Stefan]
通讯作者: Posse, Stefan
DOI: 10.1016/j.neuroimage.2011.10.057
发表时间: 2012-08-15
期刊: NEUROIMAGE
影响因子: 5.7
作者: [Posse, Stefan]
通讯作者: Posse, Stefan
Concurrent High-Speed fMRI and Diffusion Tensor MRSI
Concurrent High-Speed fMRI and Diffusion Tensor MRSI
High-Frequency Resting State Connectivity fMRI
High-Speed fMRI of Resting State Connectivity