Spatiotemporal Imaging of Human Visual System Processing

人类视觉系统处理的时空成像

• 批准号: 8410034
• 负责人: SEPPO PENTTI AHLFORS
• 金额: $ 51.93万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-07-23 至 2015-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8410034
• 关键词: Algorithms; Alzheimer' s Disease; Area; Attention; Behavior; Brain; Brain Neoplasms; Brain imaging; Cerebrum; Clinical; Cognition; Collection; Complex; Cortical Synchronization; Data; Data Analyses; Data Sources; Detection; Development; Electroencephalography; Equation; Etiology; Frequencies; Functional Magnetic Resonance Imaging; Goals; Head; Health; Human; Image; Image Analysis; Imaging Techniques; Indium; Investigation; Magnetic Resonance; Magnetic Resonance Imaging; Magnetoencephalography; Maps; Methods; Modeling; Nature; Neurons; Pattern; Perception; Phase; Process; Research; Resolution; Sampling; Series; Site; Source; Stroke; System; Techniques; Testing; Time; Variant; Visual; Visual Cortex; Visual attention; Visual system structure; Weight; Work; base; brain behavior; data acquisition; developmental disease; imaging modality; improved; innovation; millimeter; millisecond; neural model; neuroimaging; neuromechanism; neurophysiology; novel; programs; relating to nervous system; research study; response; simulation; spatiotemporal; visual motor; visual process; visual processing

DESCRIPTION (provided by applicant): The overall goal of our research program is the development of a comprehensive experimental and analytical framework for spatiotemporal imaging and modeling of the neural basis of perception, cognition and action. According to our general model, complex behavior results from the coordinated activity of spatially distributed neural systems rather than specific anatomical sites, giving rise to brain-behavior relationships that are distributed in space and time. To date, we have developed a range of spatiotemporal imaging methods that have enabled innovative, non-invasive studies of the human visual system at higher spatial and temporal resolution than previously achieved. We now propose to carry forward the development of our spatiotemporal imaging approach by exploring methods for acquiring functional brain imaging data at ever higher sampling rates, probing the brain mechanisms for long-range spatial synchronization and achieving a better understanding of information flow during perceptual and visuomotor processing by establishing a robust framework for causal modeling. To these ends we have developed novel methods combining functional MRI (fMRI) and magnetoencephalography / electroencephalography (MEG/EEG) data to obtain noninvasive spatiotemporal maps of cerebral activity with both high temporal (millisecond) and spatial (millimeter) resolution. We propose to continue and extend this technical development. Specifically, we will further improve fMRI and MEG/EEG data acquisition and analysis methods and develop new methods to explore mechanisms of oscillatory brain activity by combining fMRI, MEG and EEG data sources, thereby increasing the accuracy and sensitivity of the spatiotemporal brain imaging approach. Further, we will continue development of causal modeling approaches, allowing for the study of how large-scale distributed neuronal interactions give rise to perception and cognition. Finally, we will apply these technical advances to studies of human higher visual and visuomotor processing, including studies of the neural mechanisms of feature-based attention and interhemispheric information transfer. Given the increasing availability of both MRI and EEG/MEG, our approach of combining information from multiple imaging modalities should have significant impact on advancing the understanding of the neural bases of complex behavior. The neuroimaging techniques developed during the course of our research may help the investigation of a variety of clinical abnormalities, such as those associated with stroke, brain tumors, Alzheimer's disease, and developmental disorders.

描述（由申请人提供）：我们的研究计划的总体目标是开发一个全面的实验和分析框架，用于感知，认知和行动的神经基础的时空成像和建模。根据我们的一般模型，复杂的行为是由空间分布的神经系统而不是特定的解剖部位的协调活动引起的，从而产生了在空间和时间上分布的大脑-行为关系。迄今为止，我们已经开发了一系列时空成像方法，能够以比以前更高的空间和时间分辨率对人类视觉系统进行创新、非侵入性研究。我们现在建议通过探索以更高的采样率获取功能性脑成像数据的方法，探索长距离空间同步的大脑机制，并通过建立一个强大的因果建模框架来更好地理解感知和视觉处理过程中的信息流，来推进我们的时空成像方法的发展。为此，我们已经开发了新的方法结合功能性MRI（fMRI）和脑磁图/脑电图（MEG/EEG）数据，以获得非侵入性的时空地图的大脑活动与高时间（毫秒）和空间（毫米）分辨率。我们建议继续并扩大这一技术发展。具体而言，我们将进一步改进fMRI和MEG/EEG数据采集和分析方法，并通过结合fMRI，MEG和EEG数据源开发新方法来探索振荡脑活动的机制，从而提高时空脑成像方法的准确性和灵敏度。此外，我们将继续发展因果建模方法，以研究大规模分布式神经元相互作用如何引起感知和认知。最后，我们将把这些技术进步应用于人类高级视觉和视觉加工的研究，包括基于特征的注意和半球间信息传递的神经机制的研究。鉴于MRI和EEG/MEG的可用性越来越高，我们结合多种成像方式的信息的方法应该对促进复杂行为的神经基础的理解产生重大影响。在我们的研究过程中开发的神经成像技术可能有助于调查各种临床异常，如与中风，脑肿瘤，阿尔茨海默病和发育障碍相关的异常。

项目成果

Distinct cortical networks activated by auditory attention and working memory load.

• DOI: 10.1016/j.neuroimage.2013.07.074
• 发表时间: 2013-12
• 期刊: NeuroImage
• 影响因子: 5.7
• 作者: Huang S;Seidman LJ;Rossi S;Ahveninen J
• 通讯作者: Ahveninen J

Interacting parallel pathways associate sounds with visual identity in auditory cortices.

• DOI: 10.1016/j.neuroimage.2015.09.044
• 发表时间: 2016-01-01
• 期刊: NeuroImage
• 影响因子: 5.7
• 作者: Ahveninen J;Huang S;Ahlfors SP;Hämäläinen M;Rossi S;Sams M;Jääskeläinen IP
• 通讯作者: Jääskeläinen IP

Early Preferential Responses to Fear Stimuli in Human Right Dorsal Visual Stream--A Meg Study.

• DOI: 10.1038/srep24831
• 发表时间: 2016-04-20
• 期刊: Scientific reports
• 影响因子: 4.6
• 作者: Meeren HK;Hadjikhani N;Ahlfors SP;Hämäläinen MS;de Gelder B
• 通讯作者: de Gelder B

Multimodal imaging of spike propagation: a technical case report.

尖峰传播的多模态成像：技术案例报告。

• DOI: 10.3174/ajnr.a2701
• 发表时间: 2012
• 期刊: AJNR. American journal of neuroradiology
• 作者: Tanaka,N;Grant,PE;Suzuki,N;Madsen,JR;Bergin,AM;Hamalainen,MS;Stufflebeam,SM
• 通讯作者: Stufflebeam,SM

Single-shot magnetic resonance spectroscopic imaging with partial parallel imaging.

• DOI: 10.1002/mrm.21855
• 发表时间: 2009-03
• 期刊: MAGNETIC RESONANCE IN MEDICINE
• 影响因子: 3.3
• 作者: Posse, Stefan;Otazo, Ricardo;Tsai, Shang-Yueh;Yoshimoto, Akio Ernesto;Lin, Fa-Hsuan
• 通讯作者: Lin, Fa-Hsuan