Lin Li, Ph.D.

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.


Work Titles
UCLA Assistant Researcher, Neurology
Education:
Degrees:
Ph.D., The University of Texas at Arlington joint with UT Southwestern Medical Center, 2015
B.S., Huazhong University of Science and Technology, 2009

Contact Information:

Email Address:

lilin@mednet.ucla.edu


Mailing Address:

710 westwood Plz
Los Angeles, CA 90095


Research Interest:

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.

Publications:

A selected list of publications:

Li Lin, Patel Mayur, Almajano Joyel, Engel Jerome, Bragin Anatol   Extrahippocampal high-frequency oscillations during epileptogenesis Epilepsia, 2018; 59(4): e51-e55.
Culaclii Stanislav, Kim Brian, Lo Yi-Kai, Li Lin, Liu Wentai   Online Artifact Cancelation in Same-Electrode Neural Stimulation and Recording Using a Combined Hardware and Software Architecture IEEE transactions on biomedical circuits and systems, 2018; 12(3): 601-613.
Li Lin, Kriukova Kseniia, Engel Jerome, Bragin Anatol   Seizure development in the acute intrahippocampal epileptic focus Scientific reports, 2018; 8(1): 1423.
Li Lin, Babawale Olajide, Yennu Amarnath, Trowbridge Cynthia, Hulla Ryan, Gatchel Robert J, Liu Hanli   Whole-cortical graphical networks at wakeful rest in young and older adults revealed by functional near-infrared spectroscopy Neurophotonics, 2018; 5(3): 035004.
Li Lin, Cazzell Mary, Zeng Li, Liu Hanli   Are there gender differences in young vs. aging brains under risk decision-making? An optical brain imaging study Brain imaging and behavior, 2017; 11(4): 1085-1098.
Li, L., Babawale, O., Cazzell, M., & Liu, H.   Assessment of resting-state brain networks in young and older adults by automatic voxel classification with atlas-guided diffuse optical tomography Biomedical Optics 2016, 2016; paper JW3A(46): .
Li Lin, Cazzell Mary, Babawale Olajide, Liu Hanli   Automated voxel classification used with atlas-guided diffuse optical tomography for assessment of functional brain networks in young and older adults Neurophotonics, 2016; 3(4): 045002.
Bragin Anatol, Li Lin, Almajano Joyel, Alvarado-Rojas Catalina, Reid Aylin Y, Staba Richard J, Engel Jerome   Pathologic electrographic changes after experimental traumatic brain injury Epilepsia, 2016; 57(5): 735-45.
Li Lin, Zeng Li, Lin Zi-Jing, Cazzell Mary, Liu Hanli   Tutorial on use of intraclass correlation coefficients for assessing intertest reliability and its application in functional near-infrared spectroscopy-based brain imaging Journal of biomedical optics, 2015; 20(5): 50801.
Li, L., Zeng, L., Cazzell, M.A., & Liu, H.   A statistical approach to assess measurement reliability of functional DOT for brain imaging Biomedical Optics 2014, 2014; paper bm3a(27): .
Lin Zi-Jing, Li Lin, Cazzell Mary, Liu Hanli   Atlas-guided volumetric diffuse optical tomography enhanced by generalized linear model analysis to image risk decision-making responses in young adults Human brain mapping, 2014; 35(8): 4249-66.
Lin Zi-Jing, Ren Ming, Li Lin, Liu Yueming, Su Jianzhong, Yang Shao-Hua, Liu Hanli   Interleaved imaging of cerebral hemodynamics and blood flow index to monitor ischemic stroke and treatment in rat by volumetric diffuse optical tomography NeuroImage, 2014; 85 Pt 1: 566-82.
Li, L., Liu, H., & Cazzell, M. A.   Investigation of age difference under risk decision-making using atlas-guided diffuse optical tomography Biomedical Optics 2014, 2014; paper bm3a(26): .
Li, L., Lin, Z. J., & Liu, H.   "Test-retest assessment of functional near-infrared spectroscopy to measure risk decision making in young adults" Proc. SPIE, 2013; 8565(856557): .
Lin, Z. J., Li, L., Cazzell, M., & Liu, H.   Monitoring of human brain functions in risk decision-making task by diffuse optical tomography using voxel-wise general linear model Proc. SPIE, 2013; 8565(856555 ): .
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): .
Cazzell Mary, Li Lin, Lin Zi-Jing, Patel Sonal J, Liu Hanli   Comparison of neural correlates of risk decision making between genders: an exploratory fNIRS study of the Balloon Analogue Risk Task (BART) NeuroImage, 2012; 62(3): 1896-911.
Li, L., Lin, Z. J., Cazzell, M., & Liu, H.   Measurement of brain activations to examine gender-specific risk decision making using functional near infrared spectroscopy (fNIRS) Biomedical Optics and 3-D Imaging, 2012; paper Btu3A(34): .
Lin, Z. J., Niu, H., Li, L., & Liu, H.   Volumetric Diffuse Optical Tomography for Small Animals Using a CCD-Camera-Based Imaging System International Journal of Optics, 2012; 2012: .
Niu, H., et al.   Investigation of cerebral hemodynamic changes during repeated sit-stand maneuver using functional near-infrared spectroscopy Proc. SPIE, 2011; 7898(78980R): .

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