Functional Imaging of the Human FEF

描述(申请人提供)：前额叶皮质(PFC)对适应性高级认知行为至关重要，这些行为会受到各种精神健康疾病的影响，包括精神分裂症、多动症(ADHD)、药物滥用障碍、阿尔茨海默氏症和帕金森氏症以及艾滋病相关痴呆症。对基本神经机制的更好理解将导致诊断、预后和治疗程序的改进。尽管PFC对于计划、维护、选择和执行意志行为至关重要，但我们对它实现这些目标的机制知之甚少。阻碍我们在这方面取得进展的障碍包括：1)对PFC功能的关键动物如何转化为我们试图理解的人类物种的理解不足；2)对PFC如何通过其与大脑其他区域的功能互动影响正在进行的行为缺乏理解。在这里，我们提出了一种分而治之的策略，以更好地理解PFC的功能。在目标1中，我们将定位PFC的一个关键部分，即猴子额叶眼场(FEF)的人类同源物，并将其作为详细研究PFC功能的模型系统。我们策略性地选择FEF作为我们的模型，因为1)与其他PFC区域不同，我们有方法在人类中定位它；2)与其他PFC区域相比，来自猴子FEF的数据提供了关于物种之间功能同源性的可测试预测；最重要的是，FEF与PFC一般所涉及的许多相同的高级认知行为有关。我们将研究人类FEF用于计划、注意、记忆和选择的机制。在像动眼神经系统这样定义更明确、更受约束的系统中工作，可能很快就会导致对这些功能的机械性描述，而在像PFC这样更复杂、更少被理解的系统中，这些功能可能不那么站得住脚。尽管PFC被认为通过与其他大脑区域的功能相互作用来影响正在进行的行为，但缺乏证据支持这一理论。在AIM 2中，我们将使用功能磁共振成像来测量PFC和其他大脑区域之间的功能交互，这些区域可能共同形成支持关键行为的网络。总而言之，这两个目标既包括本地级别的功能专门化，也包括网络级别的分布式处理，并将允许我们测试关于PFC如何支持意图、注意力和工作记忆的关键假设。

DESCRIPTION (provided by applicant): The prefrontal cortex (PFC) is critical for adaptive higher-order cognitive behaviors that are compromised by a wide variety of mental health disorders including schizophrenia, (ADHD), substance abuse disorders, Alzheimer's and Parkinson's Disease, and AIDS-related dementia. A better understanding of basic neural mechanisms will lead to improved diagnostic, prognostic, and therapeutic procedures. Although the PFC is critical for the planning, maintenance, selection, and execution of willed behavior, we know very little about the mechanisms by which it accomplishes these goals. Barriers to our progress in this regard include 1) a poor understanding of how the crucial animal work on PFC functions translates to the human species we are trying to understand, and 2) a lack of understanding of how the PFC influences ongoing behavior through its functional interactions with other brain areas. Here we propose a divide-and-conquer strategy for better understanding the functions of the PFC. In AIM 1, we will localize a key portion of the PFC, the human homolog of the monkey frontal eye field (FEF) and treat it as a model system for detailed study of PFC functions. We strategically chose the FEF as our model because 1) unlike other PFC areas, we have methods for localizing it in humans, 2) data from monkey FEF, as compared to other PFC areas, offer testable predictions about the functional homologies between the species, and most importantly 3) the FEF is implicated in many of the same high-level cognitive behaviors that the PFC in general is implicated. We will study the mechanisms that the human FEF uses for planning, attention, memory, and selection. Working within a better-defined and constrained system like the oculomotor system may quickly lead to mechanistic accounts of these functions that may be less tenable in a more complicated and less understood system like the PFC as a whole. Although the PFC is thought to influence ongoing behavior through its functional interactions with other brain areas, there is a dearth of evidence to support this theory. In AIM 2, we will use fMRI to measure functional interactions between the PFC and other brain areas that together may form networks supporting the critical behaviors. Together, the two AIMS embrace both functional specialization at the local level and distributed processing at the network level and will allow us to test critical hypotheses about how the PFC supports intention, attention, and working memory.