@article{pugh_huang_leshin_lindquist_nam_2022, title={Culture and gender modulate dlPFC integration in the emotional brain: evidence from dynamic causal modeling}, volume={5}, ISSN={["1871-4099"]}, DOI={10.1007/s11571-022-09805-2}, abstractNote={Past research has recognized culture and gender variation in the experience of emotion, yet this has not been examined on a level of effective connectivity. To determine culture and gender differences in effective connectivity during emotional experiences, we applied dynamic causal modeling (DCM) to electroencephalography (EEG) measures of brain activity obtained from Chinese and American participants while they watched emotion-evoking images. Relative to US participants, Chinese participants favored a model bearing a more integrated dorsolateral prefrontal cortex (dlPFC) during fear v. neutral experiences. Meanwhile, relative to males, females favored a model bearing a less integrated dlPFC during fear v. neutral experiences. A culture-gender interaction for winning models was also observed; only US participants showed an effect of gender, with US females favoring a model bearing a less integrated dlPFC compared to the other groups. These findings suggest that emotion and its neural correlates depend in part on the cultural background and gender of an individual. To our knowledge, this is also the first study to apply both DCM and EEG measures in examining culture-gender interaction and emotion.}, journal={COGNITIVE NEURODYNAMICS}, author={Pugh, Zachary H. and Huang, Jiali and Leshin, Joseph and Lindquist, Kristen A. and Nam, Chang S.}, year={2022}, month={May} }
 @article{huang_jung_nam_2022, title={Estimating effective connectivity in Alzheimer's disease progression: A dynamic causal modeling study}, volume={16}, ISSN={["1662-5161"]}, DOI={10.3389/fnhum.2022.1060936}, abstractNote={IntroductionAlzheimer's disease (AD) affects the whole brain from the cellular level to the entire brain network structure. The causal relationship among brain regions concerning the different AD stages is not yet investigated. This study used Dynamic Causal Modeling (DCM) method to assess effective connectivity (EC) and investigate the changes that accompany AD progression.}, journal={FRONTIERS IN HUMAN NEUROSCIENCE}, author={Huang, Jiali and Jung, Jae-Yoon and Nam, Chang S.}, year={2022}, month={Dec} }
 @article{huang_choo_pugh_nam_2022, title={Evaluating Effective Connectivity of Trust in Human-Automation Interaction: A Dynamic Causal Modeling (DCM) Study}, volume={64}, ISSN={["1547-8181"]}, url={https://doi.org/10.1177/0018720820987443}, DOI={10.1177/0018720820987443}, abstractNote={Objective Using dynamic causal modeling (DCM), we examined how credibility and reliability affected the way brain regions exert causal influence over each other—effective connectivity (EC)—in the context of trust in automation. }, number={6}, journal={HUMAN FACTORS}, publisher={SAGE Publications}, author={Huang, Jiali and Choo, Sanghyun and Pugh, Zachary H. and Nam, Chang S.}, year={2022}, month={Sep}, pages={1051–1069} }
 @misc{nam_choo_huang_park_2020, title={Brain-to-Brain Neural Synchrony During Social Interactions: A Systematic Review on Hyperscanning Studies}, volume={10}, ISSN={["2076-3417"]}, url={https://www.mdpi.com/2076-3417/10/19/6669}, DOI={10.3390/app10196669}, abstractNote={The aim of this study was to conduct a comprehensive review on hyperscanning research (measuring brain activity simultaneously from more than two people interacting) using an explicit systematic method, the preferred reporting items for systematic reviews and meta-analyses (PRISMA). Data were searched from IEEE Xplore, PubMed, Engineering Village, Web of Science and Scopus databases. Inclusion criteria were journal articles written in English from 2000 to 19 June 2019. A total of 126 empirical studies were screened out to address three specific questions regarding the neuroimaging method, the application domain, and the experiment paradigm. Results showed that the most used neuroimaging method with hyperscanning was magnetoencephalography/electroencephalography (MEG/EEG; 47%), and the least used neuroimaging method was hyper-transcranial Alternating Current Stimulation (tACS) (1%). Applications in cognition accounted for almost half the studies (48%), while educational applications accounted for less than 5% of the studies. Applications in decision-making tasks were the second most common (26%), shortly followed by applications in motor synchronization (23%). The findings from this systematic review that were based on documented, transparent and reproducible searches should help build cumulative knowledge and guide future research regarding inter-brain neural synchrony during social interactions, that is, hyperscanning research.}, number={19}, journal={APPLIED SCIENCES-BASEL}, publisher={MDPI AG}, author={Nam, Chang S. and Choo, Sanghyun and Huang, Jiali and Park, Jiyoung}, year={2020}, month={Oct} }