Zachary Harris Pugh

College of Humanities and Social Sciences

Works (4)

Updated: April 5th, 2024 13:45

2023 journal article

Brain dynamics of mental workload in a multitasking context: Evidence from dynamic causal modeling

COMPUTERS IN HUMAN BEHAVIOR, 152.

By: J. Huang *, Z. Pugh n, S. Kim n & C. Nam n 

author keywords: Mental workload; Brain connectivity; Electroencephalography (EEG); Multitasking; Dynamic causal modeling
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UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: January 2, 2024

2022 article

Culture and gender modulate dlPFC integration in the emotional brain: evidence from dynamic causal modeling

Pugh, Z. H., Huang, J., Leshin, J., Lindquist, K. A., & Nam, C. S. (2022, May 25). COGNITIVE NEURODYNAMICS, Vol. 5.

By: Z. Pugh n, J. Huang n , J. Leshin *, K. Lindquist * & C. Nam n 

author keywords: Emotion; Fear; Culture; Gender
Sources: Web Of Science, NC State University Libraries
Added: June 6, 2022

2021 journal article

Emotion depends on context, culture and their interaction: evidence from effective connectivity

SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE, 17(2), 206–217.

By: Z. Pugh n, S. Choo n , J. Leshin *, K. Lindquist * & C. Nam n 

author keywords: effective connectivity; Granger causality; EEG; emotion; culture; context
MeSH headings : Brain / diagnostic imaging; Brain / physiology; Electroencephalography; Emotions / physiology; Fear; Humans; Parietal Lobe
TL;DR: The findings suggest that the neural representation of fear varies according to both culture, situation, and their interaction in ways that are consistent with norms instilled by cultural background. (via Semantic Scholar)
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10. Reduced Inequalities (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: March 7, 2022

2021 journal article

Evaluating Effective Connectivity of Trust in Human-Automation Interaction: A Dynamic Causal Modeling (DCM) Study

HUMAN FACTORS, 64(6), 1051–1069.

By: J. Huang n , S. Choo n , Z. Pugh n & C. Nam n 

author keywords: trust in automation; neuroergonomics; dynamic causal modeling; electroencephalography
MeSH headings : Automation; Bayes Theorem; Brain; Brain Mapping / methods; Humans; Magnetic Resonance Imaging / methods; Reproducibility of Results; Trust
TL;DR: It is indicated that trust and distrust can be two distinctive neural processes in human–automation interaction—distrust being a more complex network than trust, possibly due to the increased cognitive load. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: April 19, 2021

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