Nina Lauharatanahirun

Assistant Professor of Biobehavioral Health and Biomedical Engineering

Nina Lauharatanahirun

Research Summary

Using computational modeling, behavioral economic paradigms, and functional neuroimaging (fMRI/EEG) to understand the neural and behavioral mechanisms underlying health risk behaviors across the life.

Huck Affiliations

Links

Most Recent Publications

Vero: An Accessible Method for Studying Human-AI Teamwork

Aaron Schecter, Jess Hohenstein, Lindsay Larson, Alexa Harris, Tsung-Yu Hou, Wen-Ying Lee, Nina Lauharatanahirun, Leslie DeChurch, Noshir Contractor, Malte Jung, Computers in Human Behavior

Social perception in Human-AI Teams: Warmth & Competence Predict Receptivity to AI Teammates

Alexandra Harris-Watson, Lindsay Larson, Nina Lauharatanahirun, Leslie DeChurch, Noshir Contractor, Computers in Human Behavior

Risk-related brain activation is linked to longitudinal changes in adolescent health risk behaviors

Nina Lauharatanahirun, Dominique Maciejewski, Jungmeen Kim-Spoon, Brooks King-Casas, Developmental Cognitive Neuroscience

Human preferences toward algorithmic advice in a word association task

Eric Bogert, Nina Lauharatanahirun, Aaron Schecter, Scientific Reports

The psychological costs of behavioral immunity following COVID-19 diagnosis

Derek P. Spangler, Evaline Y. Li, Gabriela S. Revi, Jennifer T. Kubota, Jasmin Cloutier, Nina Lauharatanahirun, 2024, Scientific Reports

External and Internal Attribution in Human-Agent Interaction: Insights From Neuroscience and Virtual Reality

Nina Lauharatanahirun, Andrea Stevenson Won, Angel Hsing Chi Hwang, 2024, Human-Machine Communication on p. 119-139

Risk-related brain activation is linked to longitudinal changes in adolescent health risk behaviors

Nina Lauharatanahirun, Dominique F. Maciejewski, Jungmeen Kim-Spoon, Brooks King-Casas, 2023, Developmental Cognitive Neuroscience

Social perception in Human-AI teams: Warmth and competence predict receptivity to AI teammates

Alexandra M. Harris-Watson, Lindsay E. Larson, Nina Lauharatanahirun, Leslie A. DeChurch, Noshir S. Contractor, 2023, Computers in Human Behavior

Social media and the social brain

Mary E. Andrews, Rui Pei, Nina Lauharatanahirun, Alexandra M. Paul, Emily B. Falk, 2023, on p. 94-113

Algorithmic appreciation or aversion? The moderating effects of uncertainty on algorithmic decision making

Aaron Schecter, Eric Bogert, Nina Lauharatanahirun, 2023,

Most-Cited Papers

Variability in the analysis of a single neuroimaging dataset by many teams

Rotem Botvinik-Nezer, Felix Holzmeister, Colin F. Camerer, Anna Dreber, Juergen Huber, Magnus Johannesson, Michael Kirchler, Roni Iwanir, Jeanette A. Mumford, R. Alison Adcock, Paolo Avesani, Blazej M. Baczkowski, Aahana Bajracharya, Leah Bakst, Sheryl Ball, Marco Barilari, Nadège Bault, Derek Beaton, Julia Beitner, Roland G. Benoit, Ruud M.W.J. Berkers, Jamil P. Bhanji, Bharat B. Biswal, Sebastian Bobadilla-Suarez, Tiago Bortolini, Katherine L. Bottenhorn, Alexander Bowring, Senne Braem, Hayley R. Brooks, Emily G. Brudner, Cristian B. Calderon, Julia A. Camilleri, Jaime J. Castrellon, Luca Cecchetti, Edna C. Cieslik, Zachary J. Cole, Olivier Collignon, Robert W. Cox, William A. Cunningham, Stefan Czoschke, Kamalaker Dadi, Charles P. Davis, Alberto De Luca, Mauricio R. Delgado, Lysia Demetriou, Jeffrey B. Dennison, Xin Di, Erin W. Dickie, Ekaterina Dobryakova, Claire L. Donnat, Juergen Dukart, Niall W. Duncan, Joke Durnez, Amr Eed, Simon B. Eickhoff, Andrew Erhart, Laura Fontanesi, G. Matthew Fricke, Shiguang Fu, Adriana Galván, Remi Gau, Sarah Genon, Tristan Glatard, Enrico Glerean, Jelle J. Goeman, Sergej A.E. Golowin, Carlos González-García, Krzysztof J. Gorgolewski, Cheryl L. Grady, Mikella A. Green, João F. Guassi Moreira, Olivia Guest, Shabnam Hakimi, J. Paul Hamilton, Roeland Hancock, Giacomo Handjaras, Bronson B. Harry, Colin Hawco, Peer Herholz, Gabrielle Herman, Stephan Heunis, Felix Hoffstaedter, Jeremy Hogeveen, Susan Holmes, Chuan Peng Hu, Scott A. Huettel, Matthew E. Hughes, Vittorio Iacovella, Alexandru D. Iordan, Peder M. Isager, Ayse I. Isik, Andrew Jahn, Matthew R. Johnson, Tom Johnstone, Michael J.E. Joseph, Anthony C. Juliano, Joseph W. Kable, Michalis Kassinopoulos, Cemal Koba, Xiang Zhen Kong, Timothy R. Koscik, Nuri Erkut Kucukboyaci, Brice A. Kuhl, Sebastian Kupek, Angela R. Laird, Claus Lamm, Robert Langner, Nina Lauharatanahirun, Hongmi Lee, Sangil Lee, Alexander Leemans, Andrea Leo, Elise Lesage, Flora Li, Monica Y.C. Li, Phui Cheng Lim, Evan N. Lintz, Schuyler W. Liphardt, Annabel B. Losecaat Vermeer, Bradley C. Love, Michael L. Mack, Norberto Malpica, Theo Marins, Camille Maumet, Kelsey McDonald, Joseph T. McGuire, Helena Melero, Adriana S. Méndez Leal, Benjamin Meyer, Kristin N. Meyer, Glad Mihai, Georgios D. Mitsis, Jorge Moll, Dylan M. Nielson, Gustav Nilsonne, Michael P. Notter, Emanuele Olivetti, Adrian I. Onicas, Paolo Papale, Kaustubh R. Patil, Jonathan E. Peelle, Alexandre Pérez, Doris Pischedda, Jean Baptiste Poline, Yanina Prystauka, Shruti Ray, Patricia A. Reuter-Lorenz, Richard C. Reynolds, Emiliano Ricciardi, Jenny R. Rieck, Anais M. Rodriguez-Thompson, Anthony Romyn, Taylor Salo, Gregory R. Samanez-Larkin, Emilio Sanz-Morales, Margaret L. Schlichting, Douglas H. Schultz, Qiang Shen, Margaret A. Sheridan, Jennifer A. Silvers, Kenny Skagerlund, Alec Smith, David V. Smith, Peter Sokol-Hessner, Simon R. Steinkamp, Sarah M. Tashjian, Bertrand Thirion, John N. Thorp, Gustav Tinghög, Loreen Tisdall, Steven H. Tompson, Claudio Toro-Serey, Juan Jesus Torre Tresols, Leonardo Tozzi, Vuong Truong, Luca Turella, Anna E. van ‘t Veer, Tom Verguts, Jean M. Vettel, Sagana Vijayarajah, Khoi Vo, Matthew B. Wall, Wouter D. Weeda, Susanne Weis, David J. White, David Wisniewski, Alba Xifra-Porxas, Emily A. Yearling, Sangsuk Yoon, Rui Yuan, Kenneth S.L. Yuen, Lei Zhang, Xu Zhang, Joshua E. Zosky, Thomas E. Nichols, Russell A. Poldrack, Tom Schonberg, 2020, Nature on p. 84-88

Executive functioning and substance use in adolescence: Neurobiological and behavioral perspectives

Jungmeen Kim-Spoon, Rachel E. Kahn, Nina Lauharatanahirun, Kirby Deater-Deckard, Warren K. Bickel, Pearl H. Chiu, Brooks King-Casas, 2017, Neuropsychologia on p. 79-92

Social perception in Human-AI teams: Warmth and competence predict receptivity to AI teammates

Alexandra M. Harris-Watson, Lindsay E. Larson, Nina Lauharatanahirun, Leslie A. DeChurch, Noshir S. Contractor, 2023, Computers in Human Behavior

Longitudinal pathways linking family risk, neural risk processing, delay discounting, and adolescent substance use

Jungmeen Kim-Spoon, Nina Lauharatanahirun, Kristin Peviani, Alexis Brieant, Kirby Deater-Deckard, Warren K. Bickel, Brooks King-Casas, 2019, Journal of Child Psychology and Psychiatry and Allied Disciplines on p. 655-664

Neural processes during adolescent risky decision making are associated with conformity to peer influence

Rui Pei, Nina Lauharatanahirun, Christopher N. Cascio, Matthew B. O'Donnell, Jean T. Shope, Bruce G. Simons-Morton, Jean M. Vettel, Emily B. Falk, 2020, Developmental Cognitive Neuroscience

Social-Cognitive and Affective Antecedents of Code Switching and the Consequences of Linguistic Racism for Black People and People of Color

Darin G. Johnson, Bradley D. Mattan, Nelson Flores, Nina Lauharatanahirun, Emily B. Falk, 2022, Affective Science on p. 5-13

Maltreatment and brain development: The effects of abuse and neglect on longitudinal trajectories of neural activation during risk processing and cognitive control

Jungmeen Kim-Spoon, Toria Herd, Alexis Brieant, Kristin Peviani, Kirby Deater-Deckard, Nina Lauharatanahirun, Jacob Lee, Brooks King-Casas, 2021, Developmental Cognitive Neuroscience

Neural Correlates of Risk Processing Among Adolescents: Influences of Parental Monitoring and Household Chaos

Nina Lauharatanahirun, Dominique Maciejewski, Christopher Holmes, Kirby Deater-Deckard, Jungmeen Kim-Spoon, Brooks King-Casas, 2018, Child Development on p. 784-796

Valuation of peers' safe choices is associated with substance-naïveté in adolescents

Dongil Chung, Mark A. Orloff, Nina Lauharatanahirun, Pearl H. Chiu, Brooks King-Casas, 2020, Proceedings of the National Academy of Sciences of the United States of America on p. 31729-31737

Neural Interaction Between Risk Sensitivity and Cognitive Control Predicting Health Risk Behaviors Among Late Adolescents

Jungmeen Kim-Spoon, Kirby Deater-Deckard, Nina Lauharatanahirun, Julee P. Farley, Pearl H. Chiu, Warren K. Bickel, Brooks King-Casas, 2017, Journal of Research on Adolescence on p. 674-682