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Jungsun Lee

Biographic Data

ID10430923
NAMEJungsun Lee
GIVEN NAMESJungsun
FAMILY NAMELee
SIGNATURELEE J
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX0
  • A multimodal ensemble stacking model improves brain age prediction and reveals associations with schizophrenia symptoms

    Open Access•Junhyeok Lee, Seo Yeong Kim et al.•ARTICLE•Frontiers in Psychiatry•2025

    Our findings demonstrate that integrating sMRI and FA features improves brain age prediction accuracy and generalization. Furthermore, the correlation between brainPAD and clinical symptoms highlights its potential as a biomarker for disease progression and treatment monitoring. These results underscore the value of multimodal neuroimaging and machine learning in advancing psychiatric neuroimaging research and paving the way for clinical applicat…

  • Association between heart rate variability metrics from a smartwatch and self-reported depression and anxiety symptoms

    Open Access•Young Tak Jo, Sang Won Lee et al.•ARTICLE•Frontiers in Psychiatry•2024

    Our findings indicate the potential of PPG-derived HRV metrics in monitoring mental health, thereby providing a foundation for further research. Notably, parasympathetically biased HRV metrics showed weaker correlations with depression and anxiety scores. Future studies should validate these findings in clinically diagnosed patients

  • Association of clozapine with structural and resting-state functional abnormalities of the hippocampus in chronic schizophrenia

    Open Access•Sung Woo Joo, Sang Kyoung Kim et al.•ARTICLE•Frontiers in Psychiatry•2024

    Patients with schizophrenia undergoing clozapine treatment exhibited smaller volumes in the hippocampal subregions, which were moderately associated with negative symptoms and cognitive functions, compared to those without clozapine treatment

No prominent works on this page.

  • Association between heart rate variability metrics from a smartwatch and self-reported depression and anxiety symptoms

    Open Access•Young Tak Jo, Sang Won Lee et al.•ARTICLE•Frontiers in Psychiatry•2024

    Our findings indicate the potential of PPG-derived HRV metrics in monitoring mental health, thereby providing a foundation for further research. Notably, parasympathetically biased HRV metrics showed weaker correlations with depression and anxiety scores. Future studies should validate these findings in clinically diagnosed patients

  • Association of clozapine with structural and resting-state functional abnormalities of the hippocampus in chronic schizophrenia

    Open Access•Sung Woo Joo, Sang Kyoung Kim et al.•ARTICLE•Frontiers in Psychiatry•2024

    Patients with schizophrenia undergoing clozapine treatment exhibited smaller volumes in the hippocampal subregions, which were moderately associated with negative symptoms and cognitive functions, compared to those without clozapine treatment

  • A multimodal ensemble stacking model improves brain age prediction and reveals associations with schizophrenia symptoms

    Open Access•Junhyeok Lee, Seo Yeong Kim et al.•ARTICLE•Frontiers in Psychiatry•2025

    Our findings demonstrate that integrating sMRI and FA features improves brain age prediction accuracy and generalization. Furthermore, the correlation between brainPAD and clinical symptoms highlights its potential as a biomarker for disease progression and treatment monitoring. These results underscore the value of multimodal neuroimaging and machine learning in advancing psychiatric neuroimaging research and paving the way for clinical applicat…

Medicine (3 works) · Psychiatry (3 works) · Functional Brain Connectivity Studies (2 works) · Internal Medicine (2 works) · Neuroscience (2 works) · Psychology (2 works) · Schizophrenia (object-oriented programming (2 works) · Schizophrenia research and treatment (2 works) · Anxiety (1 work) · Blood pressure (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae