Publications

Interested in what the lab is working on? Or what we have already accomplished? This page includes a complete list of our publications or articles that are in press. You can download all of our papers directly from this page.


Preprint Manuscripts

Klein, V., Gong, X., Eden, A., & Huskey, R. (last updated 2/10/2026). Using the Drift Diffusion Model to Examine Relationships Between Mental Health and Media Selection Dynamics. Research Square

Hancock, F., Kee, R., Rosas, F. E., Girn, M., Kotler, S., Mannino, M., & Huskey, R. (last updated 01/2026). A Complexity Science Framework for Studying Flow: Using Media to Probe Brain-Phenomenology Dynamics. bioRxiv.

Gong, X., Shen, C., Boorman, E., & Huskey, R. (last updated 12/2024). Individual Curiosity Modulates Exploration in Sequential Book Selection. Research Square.

2026/In Press

Kee, R. & Huskey, R.  (in press). Neurobiology of Flow and Optimal Performance. In Bigliassi, M., Mannino, M., & Kotler, S. (Eds.), Performance Neuroscience. Berlin, Germany: Springer Nature.

Schmälzle, R., Wilcox, S., & Huskey, R. (2026). Brain imaging as a window into the biological basis of social cognition and communication. In Reimer, T., van Swol, L. M., & Florack, A. (Eds), The Routledge Handbook of Communication and Social Cognition. (Volume 1. pp. 446 – 456). New York, NY: Routledge/Taylor & Francis. doi: 10.4324/9781003411741-46

2025

Scholz, C., Chan, H. Y., Ahn, J., Boksem, M. A. S., Cooper, N., Coronel, J., Dor`e, B. P., Genevsky, A., Huskey, R., Kang, Y., Knutson, B., Lieberman, M. D., O’Donnell, M. B., Resnick, A., Smidts, A., Venkatram, V., Weber, R., Vo, K., Yoon, C., & Falk, E. B. (2025). Brain Activity Explains Message Effectiveness: A Mega-Analysis of 16 Neuroimaging Studies. PNAS Nexus4(11), 1-13.

Gong, X., Kee, R., Snyder, A. Zhao, Z., & Huskey, R. (2025). Cognitive Communication Science Lab: Some Tips For Running a Small, Scrappy, and Successful Communication Neuroscience Lab. In Edwards, C., Edwards, A., & Spence, P. (Eds.), Creating Communication and Media Research Labs: A Blueprint for Success. (Volume 1, pp. 77-84). Cham, Switzerland: Palgrave Macmillan.

Riggs, E., Shulman, H., Huskey, R., Lynch, T., & Fisher, J. (2025). What Can Cognitive Load and Processing Fluency Tell Us About Difficult Processing?. Media Psychology.

Huskey, R., Hether, H. J., & Kim, S. (2025). Information Integrity in a Digital Age. Journal of Media Psychology. Theories, Methods, and Applications. 37(5), 253-255.

Ross, E., Taylor, L. & Huskey, R. (2025). GRE Thresholds, Filtering, and Equity: A Pandemic-Era Reassessment of Communication Doctoral Admissions. Howard Journal of Communications.

Peña, J., Huskey, R., Gong, X., Andrews, M., Weisman, W., Kee, R., Klein, V., Sarieva, S., Kang., R., Schmälzle, R., & Hancock, J. (2025). Media Neuroscience on a Shoestring 2.0: Using AR and Mobile EEG Hyperscanning to Study Cooperation. Journal of Media Psychology. Theories, Methods, and Applications. 37(2), 116-128.

Huskey, R. & Schmälzle, R. (2025). Finding Middle Ground In Cognitive Media Psychology. In Shackleford, K. & Bowman, N. D. (Eds.), Oxford Handbook of Media Psychology. (2nd Edition. pp. 349 – 369). New York, NY: Oxford University Press.

2024

Gong, X., & Huskey, R. (2024). Computational Modeling Entertainment Media Choice and Decision Making in Communication Science. In Bowman, N. D. (Ed.), Handbooks of Communication Science: Entertainment Media and Communication. (Volume 20, pp. 649-664.). Berlin, Germany: DeGruyter.

Gong, X., & Huskey, R. (2024). Consider The Time Dimension: Theorizing and Formalizing Sequential Media Selection. Human Communication Research. 5(2), 264-275.

2023

Gong, X., & Huskey, R. (2023). Media Selection is Highly Predictable, In Principle. Computational Communication Research. 5(1), 1-32.

Gong, X. & Huskey, R. (2023). Moving Behavioral Experimentation Online: A Tutorial and Some Recommendations For Drift Diffusion Modeling. American Behavioral Scientist. 69(10), 1271-1288.

Schmälzle, R. & Huskey, R. (2023). Skyhooks, Cranes, and the Construct Dump: An Extension of Boster 2023. Asian Communication Research. 20(2), 5-15.

Gong, X., Huskey, R., Eden, A., & Ulusoy, E. (2023). Computationally Modeling Mood Management Theory: A Drift-Diffusion Model of People’s Preferential Choice for Valence and Arousal in Media. Journal of Communication. 73(5), 476-493.

Schmälzle, R. & Huskey, R. (2023). Integrating Media Content Analysis, Reception Analysis, and Media Effects Studies. Frontiers in Neuroscience. 17, 1-17.

Gong, X., Huskey, R. , Xue, H., Shen, C., & Frey, S. (2023). Broadcast information diffusion processes on social media networks: Exogenous events lead to more integrated public discourse. Journal of Communication, 73(3), 247–259.

2022

Kotler, S., Mannino, M., Kelso, S., & Huskey, R. (2022). First Few Seconds for Flow: A Comprehensive Proposal of the Neurobiology and Neurodynamics of State Onset. Neuroscience & Biobehavioral Reviews. 143, 104956.

Huskey, R. (2022). Understanding how we create understanding. Journal of Communication. Online Publication.

Bago, B., Aczel, B., Kekecs, Z., Protzko, J., Kovacs, M., . . . , Huskey, R., . . . & Chartier, C. R. (2022). Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample. Nature Human Behaviour. 6, 880–895.

Huskey, R., Keene., J. R., Wilcox, S., Gong., X. J., Adams, R., & Najera, C. J. (2022). Flexible and Modular Brain Network Dynamics Characterize Flow Experiences During Media Use: A Functional Magnetic Resonance Imaging Study. Journal of Communication, 72(1), 6–32.

2021

Bullock, O. M., Shulman, H. C., & Huskey, R. (2021). Narratives Are Persuasive Because They Are Easier to Understand: Examining Processing Fluency as a Mechanism of Narrative Persuasion. Frontiers in Communication. 6, 1–12.

Wilcox, S., Huskey, R., & DeAndrea, D. (2021). Attitude consistent health messages about electronic cigarettes increase processing time: Perceiving message senders as socially close increases message recall. Journal of Media Psychology. Theories, Methods, and Applications, 34(4), 216–229.

Huskey, R. (2021). Gossip: More than just trash talkCurrent Biology, 31(12), R781–R786.

Calcagnotto, L. A., Huskey, R., & Kosicki, G. M. (2021). The Accuracy and Precision of Measurement: Tools for Validating Reaction Time Stimuli. Computational Communication Research, 3(2), 131-151.

Dienlin, T., Johannes, N., Bowman, N. D., Masur, P. K., Engesser, S., …, Huskey, R., …, & Vreese C. D. (2021). An agenda for open science in communication. Journal of Communication, 71(1), 1–26.

2020

Huskey, R., Turner, B. O., & Weber, R. (2020). Individual differences in brain responses: New opportunities for tailoring health communication campaigns. Frontiers in Human Neuroscience, 14, 1-17.

Huskey, R., Wilcox, S., Clayton, R., & Keene, J. R. (2020). The Limited Capacity Model of Motivated Mediated Message Processing: Meta-analytically summarizing two decades of research. Annals of the International Communication Association, 44(4), 322–349.

Hopp, F. R., Fisher, J. T., Cornell, D., Huskey, R., & Weber, R. (2020). The extended moral foundations dictionary (eMFD): Development and applications of a crowd-sourced approach to extracting moral intuitions from text. Behavior Research Methods, 3(1), 232-246.

Huskey R., Couture Bue, A., Eden, A., Grall, C., Meshi, D., … & Wilcox, S. (2020). Marr’s Tri-Level Framework Integrates Biological Explanation Across Communication Subfields. Journal of Communication, 70(3), 356–378.

Fisher, J., Huskey, R., Keene, J., & Weber, R. (2020). The Life of a Model: Commentary on “How the LC4MP became the DHCCST”. In Weber, R., & Floyd, K., (Eds.) Handbook of Communication Science and Biology. (Volume 1. pp. 409-415). New York, NY: Routledge

2019

Nabi, R., Huskey, R., Nicholls, S., Keblusek, L., & Reed, M. (2019). When audiences become advocates: Self-induced behavior change through health message posting in social media. Computers in Human Behavior, 99, 260-267.

Turner, B., Huskey, R., & Weber, R (2019). Charting a Future for fMRI in Communication Science. Communication Methods and Measures, 13(1), 1-18.

2018

Fisher, J., Huskey, R., Keene, J., & Weber, R. (2018). The Limited Capacity Model of Motivated Mediated Message Processing: Looking to the future. Annals of the International Communication Association, 42(4), 291-315.

Fisher, J., Keene, J., Huskey, R., & Weber, R. (2018). The Limited Capacity Model of Motivated Mediated Message Processing: Taking stock of the past. Annals of the International Communication Association, 42(4), 270-290.

Huskey, R., Wilcox, S., & Weber, R. (2018). Network Neuroscience Reveals Distinct Neuromarkers of Flow During Media UseJournal of Communication. 68(5), 872-895.

Huskey, R., Craighead, B., Miller, M. B., & Weber, R. (2018). Does Intrinsic Reward Motivate Cognitive Control? A Naturalistic-fMRI Study Based on the Synchronization Theory of Flow. Cognitive, Affective, and Behavioral Neuroscience, 18(5), 902-924.

Weber, R., Alicea, B., Huskey, R., & Mathiak. K. (2018). Network Dynamics of Attention During a Naturalistic Behavioral Paradigm. Frontiers in Human Neuroscience, 12(182), 1-14.

Huskey, R., Bowman, N., Eden, A., Grizzard, M., Hahn, L., Lewis, R., Matthews, N., Tamborini, R., Walther, J. B., & Weber, R. (2018). Things we know about media and morality. Nature Human Behaviour, 2, 315.

Weber, R., Mangus, J. M., Huskey, R., Hopp, F. R., Amir, O., Swanson, R., Gordon, A. S., Khooshabeh, P., Hahn, L., & Tamborini, R. (2018). Extracting latent moral information from text narratives: Relevance, challenges, and solutions. Communication Methods and Measures, 12(2-3), 119-139.

2017

Huskey, R., Mangus, J. M., Turner, B. O., & Weber, R. (2017). The persuasion network is modulated by drug-use risk and predicts anti-drug message effectiveness. Social Cognitive and Affective Neuroscience, 12(12), 1902 – 1915.

Swanson, R., Gordon, A. S., Khooshabeh, P., Sagae, K., Huskey, R., Mangus, J. M., Amir, O., & Weber, R. (2017). An empirical analysis of subjectivity and narrative levels in personal weblog storytelling across cultures. Dialogue and Discourse, 8(2), 105 – 128.

Huskey, R., Craighead, B., & Weber, R. (2017). Evolutionary approaches to media processes and effects. In P. Roessler, C. Hoffner, & L. van Zoonen (Eds.), The international encyclopedia of media effects. Hoboken, NJ: John Wiley & Sons, Inc.

Weber, R., Huskey, R., & Craighead, B. (2017). Flow experiences and well­being: A media neuroscience perspective. In M. B. Oliver & L. Reinecke (Eds.), Handbook of media use and well­being: International perspectives on theory and research on positive media effects. (Volume 1.pp. 183 – 196). New York, NY: Routledge.

2016

Huskey, R. (2016). Beyond blobology: Using psychophysiological interaction analyses to investigate the neural basis of human communication phenomena. In S. Kubitschko & A. Kaun (Eds.), Innovative methods in media and communication research. (Volume 1. pp.123 – 138). London, UK: Palgrave Macmillan.

2015

Behr, K. M., Huskey, R., & Weber, R. (2015). Creative interactivity: Customizing and creating game content. In G. Green & J. C. Kaufman (Eds.), Video games and creativity: Explorations in creativity research (Volume 1. pp. 285 – 296). New York, NY: Academic Press.

Craighead, B., Huskey, R., & Weber, R. (2015). Video game addiction: What can we learn from a media neuroscience perspective? Revista Argentina de Ciencias del Comportamiento, 7(3), 119-131.

Weber, R., Eden, A., Huskey, R., Mangus, J. M., & Falk, E. (2015). Bridging media psychology and cognitive neuroscience: Challenges and opportunities. Journal of Media Psychology. Theories, Methods, and Applications, 27(3), 146–156.

Weber, R., Mangus, J. M., & Huskey, R. (2015). Brain imaging in communication research: A practical guide to understanding and evaluating fMRI studies. Communication Methods and Measures, 9(1–2), 5–29.

Weber, R., Huskey, R., Mangus, J. M., Westcott-­Baker, A., & Turner, B.(2015). Neural predictors of message effectiveness during counterarguing in anti­-drug campaigns. Communication Monographs, 82(1), 4–30.

2014

Huskey, R., Adams, A., Craighead, B., & Weber, R. (2014). Evolution rules: Can signaling theory predict aggressive behaviors in video games? In A. V. Stavros (Ed.), Advances in communications and media research (Volume 10. pp. 47 – 63). Hauppauge, NY: Nova Science Publishers.