Korea Advanced Institute of Science and Technology · 心理学
Professor Bumseok Jeong's research lab specializes in computational psychiatry and neuroimaging, focusing on the neural mechanisms underlying psychiatric disorders such as depression, schizophrenia, ADHD, and internet gaming disorder. The lab integrates advanced neuroimaging techniques—particularly diffusion tensor imaging (DTI) and perfusion MRI—with machine learning and behavioral data to uncover structural and functional brain connectivity abnormalities. A key focus is developing explainable AI models to predict genetic markers (e.g., IDH status in gliomas) and clinical phenotypes, while also exploring digital phenotyping through social media and mobile app usage to detect early signs of mental health conditions. The lab emphasizes translational research, aiming to bridge neurobiological findings with clinical applications for early diagnosis and personalized intervention.
Figures are computed from collected data and may differ slightly.
Our results using EmotionDiary demonstrated that the more depressed one is, the more one will read tips and facts about depression. We also confirmed depressed individuals had significantly fewer interactions with others (eg, decreased number of friends and location tagging). Our app, EmotionDiary, can successfully evaluate depressive symptoms as well as provide useful tips and facts to users. These results open the door for examining Facebook activities to identify depressed individuals. We aim
We developed an explainable recurrent neural network model based on DSC perfusion MRI to predict IDH genotypes in gliomas.
Functional studies in schizophrenia demonstrate prominent abnormalities within the left inferior frontal gyrus (IFG) and also suggest the functional connectivity abnormalities in language network including left IFG and superior temporal gyrus during semantic processing. White matter connections between regions involved in the semantic network have also been indicated in schizophrenia. However, an association between functional and anatomical connectivity disruptions within the semantic network i
Our results suggest that medication-naïve ADHD subjects may have delayed maturation of the two functional connections, SN-Sensory/Motor and aDMN-pDMN/prec. Interventions that enhance the functional connectivity of these two connections may merit attention as potential therapeutic or preventive options in both ADHD and TDC.
Our findings indicate different structural contributions to cognitive function in MCI and AD patients, implying that diffuse WM microstructural changes may precede hippocampal atrophy during the AD neurodegenerative process.
Internet use and on-line game play stimulate corticostriatal-limbic circuitry in both healthy subjects and subjects with Internet gaming disorder (IGD). We hypothesized that increased fractional anisotropy (FA) with decreased radial diffusivity (RD) would be observed in IGD subjects, compared with healthy control subjects, and that these white matter indices would be associated with clinical variables including duration of illness and executive function. We screened 181 male patients in order to
The present findings suggest that the K-VAQ has good psychometric properties for assessing verbal aggression among the Korean population.
The results of this study imply that people recognize text-based emoticons as pictures representing face expressions. Even though text-based emoticons contain emotional meaning, they are not associated with the amygdala while previous studies using emotional stimuli documented amygdala activation.
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