• Representative Publications

    Kim DJ, Davis EP, Sandman CA, Sporns O, O'Donnell BF, Buss C, Hetrick WP. Prenatal maternal cortisol has sex specific associations with child brain network properties. Cerebral Cortex. 2017 Nov; 27(11): 5230-41 [PubMed]

    Kim DJ, Davis EP, Sandman CA, Sporns O, O'Donnell BF, Buss C, Hetrick WP. Children's intellectual ability is associated with structural network integrity. Neuroimage. 2016 Jan 1;124(Pt A):550-6. [PubMed

    Kim DJ, Kent JS, Bolbecker AR, Sporns O, Cheng H, Newman SD, Puce A, O'Donnell BF, Hetrick WP. Disrupted modular architecture of cerebellum in schizophrenia: a graph theoretic analysis. Schizophr Bull. 2014 Nov;40(6):1216-26. [PubMed]

    Kim DJ, Davis EP, Sandman CA, Sporns O, O'Donnell BF, Buss C, Hetrick WP. Longer gestation is associated with more efficient brain networks in preadolescent children. Neuroimage. 2014 Oct 15;100:619-27. [PubMed]

    Kim DJ, Bolbecker AR, Howell J, Rass O, Sporns O, Hetrick WP, Breier A, O'Donnell BF. Disturbed resting state EEG synchronization in bipolar disorder: A graph-theoretic analysis. Neuroimage Clin. 2013 Mar 22;2:414-23. [PubMed]

    Kim DJ, Skosnik PD, Cheng H, Pruce BJ, Brumbaugh MS, Vollmer JM, Hetrick WP, O'Donnell BF, Sporns O, Puce A, Newman SD. Structural network topology revealed by white matter tractography in cannabis users: a graph theoretical analysis. Brain Connect. 2011;1(6):473-83. [PubMed]

Dae-Jin Kim is an associate research scientist in the Department of Psychological and Brain Sciences working with Drs. Hetrick and O'Donnell. His research interests lie in developing computational framework, or integrated systems, as a tool to understand brain structure and function, and to detect biomarkers from neuroimaging data. He is specifically interested in designing computerized detecting and diagnostic algorithm that can optimally and systematically report brain status in terms of connectivity and network. By using emerging engineering methods in neuroimaging and network science, he aims to construct macro-scale assemblies that can coordinate both local-level brain connectivity and global-level network organization to sense the function-, behavior- and disease-specific brain alteration for medical and technological applications.

Dr. Kim completed his postdoctoral training in Laboratory of Molecular Neuroimaging Technology (MoNET) of Yonsei University College of Medicine; Ph.D and M.S in Biomedical Engineering; and B.S in Electronic Engineering from Hanyang University, South Korea.