各位老师:
您好!由实验室舒华老师邀请了University of California, Irvine的Steven L. Small教授来实验室做讲座,欢迎感兴趣的老师和同学参加。学术演讲信息如下:
讲座时间:6月15日(周五)上午10:10
讲座地点:小红楼三层大会议室
主讲人:Pro. Steven L. Small, University of California, Irvine)
讲座题目:What is the Role of the Parietal-Premotor Pathway in Language Comprehension? Is this Relevant for Language Recovery after Stroke?”
内容摘要:An important source of information for language comprehension comes from the perception of action, including the movements of the mouth and hands. The neural interactions involved in processing this information involve the premotor cortex, the inferior parietal lobule, and the superior temporal gyrus. These regions and the neural connections among them comprise a human system for observation-execution matching that appears to have a phylogenetic basis in the mirror neuron system of the macaque. There is some controversy about the extent to which this system operates by covert simulation of perceived action. In this talk, we present data from several studies of audiovisual language comprehension that address the issues.First we discuss the role of action understanding in speech perception, and show how it aids phonological disambiguation across environmental and contextual variation, and that the motor cortex plays a fundamental role in the process. Next, we discuss the role of action understanding in higher order language comprehension. Finally, we present data directly addressing the putative role of motor simulation in comprehension. We conclude that the process of understanding language involves multimodal sensory and motor processing, but perhaps not simulation per se, and that the overall process forms a distributed circuit encoding comprehension. Some final comments will address the usefulness of this basic work for translational efforts in stroke recovery.
主讲人介绍:
Pro. Steven L. Small Ph.D., M.D.Professor and Chair, NeurologyDepartment of NeurologyDepartment of Neurobiology and BehaviorDepartment of Cognitive Sciences
Research Interests:Neurobiology of Language, Neural Repair, Computational Neuroscience
Research Abstract:Our laboratory uses functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), high density electroencephalography (hd-EEG), and transcranial magnetic stimulation (TMS) to study the organization of the normal human cerebral cortex and the changes that it undergoes after neurological injury, particularly stroke. We focus particularly on speech, language, and hand motor function. In the study of normal adults, we have found that the language areas of the brain are more widely distributed than previously thought, extending to brain regions that are anatomically removed from those originally postulated by Broca, Wernicke, and Déjérine, and extending to both cerebral hemispheres. To characterize this distributed functional anatomy, we use multivariate mathematical modeling approaches across brain regions and methods of analyzing distributed population codes within regions. We have recently found that the comprehension of speech requires neural processing in areas thought to be primarily involved in production, and that the underlying mechanism is likely to include action simulation via the mirror neuron system. We have also determined that the circuits for higher-order language comprehension are highly integrated with those for encoding information into memory, and that activity in these circuits depends critically on the information value of what is heard. In the motor system, we have found significant overlap in the neural circuits for kinetic motor imagery and overt execution of finger movements, but that when examining the circuit using multivariate distributed modeling, the interactions among cerebellar, parietal, and premotor (frontal) cortices on can be seen to differ significantly. In the study of expert motor performance, we recently demonstrated that professional athletes have a much more constrained and focused pattern of brain activation than novices, incorporating mainly primary and secondary motor cortices, without any significant limbic activation as found in novices.In our studies of stroke recovery of speech, language, and hand motor function, we perform longitudinal behavioral testing and brain imaging during natural recovery and during treatment interventions. During natural recovery, we have shown that patients' performance improves and their pattern of brain activity changes, and that the hemisphere ipsilateral to the injury and the cerebellum contralateral to the injury play the major role in recovery. Various intervention studies are in progress, both for aphasia and hand motor recovery, and these studies aim to take advantage of the process of observation-execution matching, the human analogue to the macaque mirror neuron system, to improve function after stroke and the understand the brain mechanisms of recovery.
此致
敬礼
认知神经科学与学习国家重点实验室
2012年6月13日