Clinical Cognitive Neuroscience Center

Lab Members

Visiting Students

Total 129건 5 페이지

  • 김하린

    DGIST
    Research interest
    schizophrenia, bipolar disorder, sleep disorder, neuroimaging
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  • 한유빈

    이화여자대학교
    Research interest
    Schizophrenia, Neuropsychopharmacology, Attention
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  • 도예희

    이화여자대학교
    Research interest
    Psychopathology, Mood disorder, Bipolar disorder, Mirror neuron system network, cognitive neuroscience
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  • 이다은

    Duke University
    Research interest
    personality disorders, thalamus, attention, psychosis, visual perception, computer vision, bayesian model, quality assurance, quality control
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  • 김수지

    Johns Hopkins University
    Research interest
    psychopathology (schizophrenia, OCD), risk-taking behaviour, cognitive dysfunction
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  • 김노아

    Princeton University
    Research interest
    Biomarkers of schizophrenia in subjects at CHR, attention, fMRI
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  • 최민아

    서울대학교 의학대학원 졸업
    Research interest
    schizophrenia, clinical high risk for psychosis, mood disorder, neuroimaging, psychopharmacology, computational psychiatry, stigma for mental disorder
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  • 조선우

    BSc Econometrics and Operation Research, Erasmus Univesteit Rotterdam
    Research interest
    Early detection of clinical high-risk for psychosis, neuroeconomics
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  • 김병호

    서울대학교 의과대학
    Research interest
    정신의학의 사회적 측면
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  • 조성철

    서울대학교 의과대학
    Research interest
    Addiction, Schizophrenia
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  • 장혜원

    Cornell University
    Research interest
    Psychosis, cognitive function, early intervention
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  • 조유민

    이화여자대학교
    Research interest
    Psychosis, schizophrenia
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  • 장유진

    University of Oxford
    Research interest
    Neuro-computational basis of decision making, knowledge representation and information processing
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  • 조성준

    The University of Chicago
    Research interest
    neuroimaging, neurodegenerative/psychiatric disorders, brain networks and circuitry, social cognition
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  • 박성재

    서강대학교
    Research interest
    Finding Biomarkers of Schizophrenia and OCD using comparative analysis of clinical symptoms & neurocognitive status with structural MRI, fMRI and ERP data, which can ultimately contribute to better understanding of underlying mechanism of these disorders
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