WHO WE ARE
Our lab is affiliated with the Yonsei University Graduate School of Medical Science, Department of Nuclear Medicine, Department of Psychiatry in Yonsei University College of Medicine, Severance Hospital, and Department of Cognitive Science in Yonsei University. We are an open research team, gathered to develop precise analyzing techniques for various brain data such as fMRI, PET, EEG, DTI in the macroscopic level. Also, we use Calcium imaging and voltage sensitive dye imaging based on the perspective of the systems brain science, computational brain science, and theoretical brain science. We are also conducting various studies to increase the practical utility of the cognitive brain science and apply artificial intelligence grounded from the brain science to the medical field.
Due to our affiliations both to universities and hospitals, we conduct basic experimental researches using advanced brain imaging equipment and brain disease diagnoses and treatments, and plan projects in the clinical field to understand how the brain works. Also, we work to develop various methodologies for treating diseases. For this purpose, we are developing high-dimensional brain analysis techniques such as dynamic causal network modeling and energy landscape analysis of nonlinear brain state transitions by combining theoretical neurobiology and computational neuroscience. We seek for optimal control techniques by modeling brain functions mathematically, based on the brain structure. In order to increase the clinical and social usefulness of cognitive brain science, we combine various cognitive science application fields ranging from neurolinguistics, neuro-design, neuroscientific forensic investigation, and brain decoding using realtime fMRI. We are building a system for early detection of deficits in the cognitive, emotional, and social fields from vulnerable groups with cognitive control, and we are researching and developing adaptive online behavior evaluation platforms and brain science-based digital therapeutic techniques. Mainly focusing on these brain studies, we are adding artificial intelligence technology to it, applying AI to brain science, and to medicine. In cooperation with clinical doctors, we are developing various medical imaging diagnostic techniques such as brain imaging, nuclear medicine imaging, eardrum imaging of otorhinolaryngology, and ophthalmic tomography imaging.
Here are the names of practical researched that we conducted so far.
Below are the original achievements that we made;
- The development of a statistical analysis method for source localized maps of EEG (Park et al., 2002)
- The whole brain fiber tractography based on a diffusion tensor imaging using dodti (Park et al., 2003b)
- The presentation of independent component analysis of PET imaging
(Park et al., 2003a)
- The presentation of surface-based PET image analysis technology
(Park et al., 2006)
- Development of brain surface-based deep learning techniques
(Seong et al., 2018)
- Real-time fMRI connectivity mapping
(Lee et al., 2018; Park et al., 2009)
These projects and programs have been opened to public for more progress in basic and clinical brain sciences. We have developed the MNET, a brain-imaging big data mining pipeline that can automatically build and analyze structural and functional networks from the brains of multiple species, such as humans, monkeys, and mice. Furthermore, based on brain science, we have developed cognitive, emotional, and behavioral diagnosis platforms through VR and web/mobile for digital theragnosis, collecting data, and conducting-applied research .
In order to solve the problems of the brain, a multi-layered and complex system, we try multidisciplinary approach to brain science, collaborating with diverse researchers covering clinical medicine, medical engineering, statistics, mathematics, psychology, cognitive science, communication, and pedagogy. We aim to improve multidimensional understandings of the brain through hierarchical interpretation of the brain and contribute to clinical brain science.