A Short Biography:
Lin is an Assistant Researcher faculty in the Department of Neurology at the University of California, Los Angeles. His long-term research interests involve the development of effective biomarkers of epileptogenesis using multi-modality approaches. He has established a track record of over 20 scientific publications in brain imaging, electrophysiology, biostatistics, and epilepsy research. He has also contributed as a reviewer for many peer-reviewed papers in 13 different international scientific journals. He has a total of ten presentations/posters at international conferences and invited talks.
Lin’s Ph.D. training primarily focused on technique and algorithm development, such as the MRI-guided diffuse optical tomography (DOT); the DOT depth compensation algorithm; the general linear model with DOT; and a guideline of reliability statistics in functional brain imaging. Later he became interested in developing innovative brain network techniques and motivated to apply his brain imaging and analytical knowledge into the study of brain disorders. His Postdoc training in the UCLA Seizure Disorder Center further enhanced his experiences in fMRI, DTI, multi-scale electrophysiology and epilepsy. His research focus was to study the epileptogenic network, aiming to reveal the network mechanisms of latent period of epilepsy. In his first two-years of Postdoc, he has worked on the identification of pathological EEG patterns of early stage posttraumatic epilepsy (PTE) and epileptogenesis in hippocampal sclerosis. He was the first to find the extrahippocampal high-frequency oscillations (HFOs) to be important in epileptogenesis. The wide-spread, network-organized pathological HFO clusters will be the primary evidence for brain network malformation of epileptogenesis. Later, he has focused on the complex issue of epileptogenic network research by studying the BOLD-EEG coupling, white matter fiber tractography, and the spatial-temporal pattern of pHFOs in the animal model of epileptogenesis. Lin continues to apply his knowledge of neuroimaging, electrophysiology, and network science to target the cross-field study of posttraumatic epilepsy, cure, and prevention.
Multi-modality Epilepsy Research and Database Management
My long-term research interests involve the development of efficient biomarkers for epileptogenesis using multi-modality approaches.
The aim of my research is to obtain combined neurophysiological information before the development of epilepsy and provide deeper insight for creating an efficient tool to prevent epilepsy. The major contribution of my research in the past three years is the combination of electrophysiological assessment with the diffusion tensor imaging technique to study the animal model of epileptogenesis. Through my research, I have discovered a new insight of network abnormality of epileptogenesis, such as the white matter malformation, brain hub reorganization and the functional hypersynchronization. Those findings are associated with certain electrophysiological patterns during epileptogenesis, and provided further insight into the early changes of both functional and structural brain networks that are critically related to the later development of epilepsy. I am currently working on applying multichannel micro silicon probes along with DREADD (designer receptors exclusively activated by designer drugs) to further study the underline network mechanisms of epileptogenesis.
A selected list of publications:
Lin, Z. J., Ren, M., Li, L., Yang, S., & Liu, H.
"Diffuse optical tomography to study ischemic stroke in pre-clinical rat models"
Biomedical Optics and 3-D Imaging,
2012; paper BTu3A(32):