报告人：Dr. Yong Wang is a Junior Faculty/Group Leader at the Department of Fluid Physics, Pattern Formation, and Biocomplexity, in the Max Planck Institute for Dynamics and Self-Organization (MPIDS). He is also an associate faculty at the Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences (GGNB), University of Göttingen. He received his dual bachelor degrees (2004) and Ph.D degree (with distinction, 2010) from Xi’an Jiaotong University, Shaanxi, China (supervisor: Prof. Yaling He, Academician of Chinese Academy of Sciences). Prior to joining MPIDS, he worked with Distinguished Prof. Said Elghobashi (Member of the National Academy of Engineering) as a postdoctoral researcher at University of California, Irvine, USA Dr. Wang’s current research interests include biofluidics and biomechanics, such as modeling for heart regeneration, cilia coordinated flow, nonlinear soft matter, turbulent airflow in human upper airway, MRI flow imaging and flow stability. He is a DZHK (German Centre for Cardiovascular Research) scientist and member of American Physical Society. He is an Editor of Journal of Hydrodynamics, an Academic Editor of PLOS ONE, as well as referee of more than 20 international journals.
报告内容：The walls of the ventricular system of mammalian brain are lined with ependymal cells, each of which sprouts a bundle of cilia that constantly beat and thereby maintain directional cerebrospinal fluid (CSF) flow. A transport network driven by coordinated motile cilia inside the ventral third ventricle (v3V) was reported recently. This network contains several CSF flow streams, generates flow patterns such as separatrix and whirl, and may coordinate the delivery of CSF components to different target sites within the ventricle. Particle tracking showed that in mouse brain this flow network locally differs between the two sides of the v3V and changes with age, which implies an age-dependent complex delivery system for CSF constituents. We also studied numerically the contribution of the temporal-spatial flow pattern to the overall CSF flow within the 3D ventricular cavity, and uncover likely physiological consequences of the flow pattern.