COMPTUTATIONAL MODELS OF CORTICAL MAP REORGANIZATION

皮质图重组的计算模型

• 批准号: 3416222
• 负责人: JAMES A REGGIA
• 金额: $ 17.36万
• 依托单位: UNIV OF MARYLAND, COLLEGE PARK
• 依托单位国家: 美国
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-09-01 至 1995-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3416222
• 关键词: brain mapping; computer program /software; computer simulation; disease /disorder model; model design /development; stroke

The broad, long-term objective of this proposed research is to develop, analyze and evaluate computer models of small cortical strokes. In particular, the reorganization of neocortical maps following simulated strokes will be examined. This research will thus complement traditional clinical and animal model approaches to studying cerebrovascular disease. It will shed light on the pathophysiology of post-stroke recovery and on the dynamics of neocortical information processing in general. The methods used in this research are as follows. Computer simulations referred to as neural models will be developed for several neocortical regions known to have topographic and computational maps: primary (SI) and secondary (SII) somatosensory cortex, primary (VI) visual cortex, motor (MI) cortex, and area 7a in parietal cortex. In each case it will be demonstrated that topographic or computational maps resembling those observed empirically emerge spontaneously as a result of synaptic modifications occurring during learning in the neural model. By varying each model region's underlying network structure, activation mechanism, learning method, or other parameters, the role of each of these factors in map formation will be examined. Subsequently, each model will be lesioned ("simulated stroke"). The resultant post-lesion map reorganization will be characterized as lesion size and location are systematically varied. This characterization will make testable predictions that can be investigated in future clinical or laboratory studies. This work will be done by a multidisciplinary research group with expertise in neurology, neurophysiology and computer science.

这项拟议研究的广泛的长期目标是开发， 分析和评估皮质小中风的计算机模型。 在 特别是，新皮层地图的重组， 将检查中风。 这项研究将补充传统的 研究脑血管疾病的临床和动物模型方法。 它将阐明中风后恢复的病理生理学， 新皮层信息处理的动力学。 本研究采用的方法如下。 计算机模拟 称为神经模型将开发几个新皮层 已知有地形图和计算图的地区：初级（SI）和 次级（SII）躯体感觉皮层，初级（VI）视觉皮层，运动 (MI)顶叶皮层7a区。 在每一种情况下， 证明了地形图或计算地图类似于那些 经验上观察到的自发出现作为突触的结果 在神经模型的学习过程中发生的修改。 通过改变 每个模型区域的底层网络结构，激活机制， 学习方法或其他参数，这些因素中的每一个在 将研究地图的形成。 随后，将对每个模型进行损伤 （“模拟中风”）。 由此产生的损伤后标测图重组将是 其特征在于病变大小和位置系统地变化。 这 表征将做出可测试的预测， 未来的临床或实验室研究。 这项工作将由一个 具有神经病学专业知识的多学科研究小组， 神经生理学和计算机科学。