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Yin, S., Bo, K., Liu, Y., Thigpen, N., Keil, A., & Ding, M. (2020). Fear conditioning prompts sparser representations of conditioned threat in primary visual cortex. Social Cognitive and Affective Neuroscience, 15(9), 950–964. [Full text]

Decoding attention control and selection in visual spatial attention

Published in Human Brain Mapping, 2020

Hong, X., Bo, K., Meyyappan, S., Tong, S., & Ding, M. (2020). Decoding attention control and selection in visual spatial attention. Human Brain Mapping, 41(14), 3900–3921. [Full text]

Decoding neural representations of affective scenes in retinotopic visual cortex

Published in Cerebral Cortex, 2021

Bo, K., Yin, S., Liu, Y., Hu, Z., Meyyappan, S., Kim, S., Keil, A., & Ding, M. (2021). Decoding neural representations of affective scenes in retinotopic visual cortex. Cerebral Cortex, 31(6), 3047–3063. [Full text]

Decoding the temporal dynamics of affective scene processing

Published in NeuroImage, 2022

Bo, K., Cui, L., Yin, S., Hu, Z., Hong, X., Kim, S., Keil, A., & Ding, M. (2022). Decoding the temporal dynamics of affective scene processing. NeuroImage, 261, 119532. [Full text]

The brain bases of emotion regulation: Evidence from fMRI

Book chapter · Handbook of Emotion Regulation (3rd ed.), Guilford Press, 2023

Bo, K., & Wager, T. D. (2023). The brain bases of emotion regulation: Evidence from fMRI. In J. J. Gross & B. Q. Ford (Eds.), Handbook of emotion regulation (3rd ed.). Guilford Press.

Decoding fMRI data with support vector machines and deep neural networks

Published in Journal of Neuroscience Methods, 2024

Liang, Y., Bo, K., Meyyappan, S., & Ding, M. (2024). Decoding fMRI data with support vector machines and deep neural networks. Journal of Neuroscience Methods, 401, 110004. [Full text]

Emergence of emotion selectivity in deep neural networks trained to recognize visual objects

Published in PLOS Computational Biology, 2024

Liu, P., Bo, K., Ding, M., & Fang, R. (2024). Emergence of emotion selectivity in deep neural networks trained to recognize visual objects. PLOS Computational Biology, 20(3), e1011943. [Full text]

A systems identification approach using Bayes factors to deconstruct the brain bases of emotion regulation

Published in Nature Neuroscience, 2024

Bo, K., Kraynak, T. E., Kwon, M., Sun, M., Gianaros, P. J., & Wager, T. D. (2024). A systems identification approach using Bayes factors to deconstruct the brain bases of emotion regulation. Nature Neuroscience, 27(5), 975–987. [Full text]

A platform to map the mind–mitochondria connection and the hallmarks of psychobiology: The MiSBIE study

Published in Trends in Endocrinology & Metabolism, 2024

Kelly, C., Trumpff, C., Acosta, C., Assuras, S., Baker, J., Basarrate, S., Behnke, A., Bo, K., … Picard, M. (2024). A platform to map the mind–mitochondria connection and the hallmarks of psychobiology: The MiSBIE study. Trends in Endocrinology & Metabolism, 35(10), 884–901. [Full text]

Stimulus repetition induces a two-stage learning process in the primary visual cortex

Published in Journal of Neuroscience, 2025

Cui, L., Bo, K., Xiong, C., Chen, Y., Keil, A., & Ding, M. (2025). Stimulus repetition induces a two-stage learning process in the primary visual cortex. Journal of Neuroscience, 45(23), e1788242025. [Full text]

The brain bases of emotion generation and emotion regulation

Published in Trends in Cognitive Sciences, 2025

Zhang, J.-X.*, Bo, K.*, Wager, T. D., & Gross, J. J. (2025). The brain bases of emotion generation and emotion regulation. Trends in Cognitive Sciences, 29(10), 879–891. [Full text]

Placebo effects and emotion regulation: Conceptual and neural similarities and differences

Book chapter · Placebo Effects in Neurology (Handbook of Clinical Neurology, Vol. 213), 2025

Bo, K., & Wager, T. D. (2025). Placebo effects and emotion regulation: Conceptual and neural similarities and differences. In F. Benedetti & A. Shaibani (Eds.), Placebo effects in neurology (Handbook of Clinical Neurology, Vol. 213, pp. 17–29). Elsevier. [Full text]

Common and distinct neural correlates of social interaction processing and theory of mind in narratives

Published in Nature Communications, 2026

Miao, Z., Jung, H., Kragel, P. A., Bo, K., Sadil, P., Lindquist, M. A., & Wager, T. D. (2026). Common and distinct neural correlates of social interaction processing and theory of mind in narratives. Nature Communications, 17(1), 4830. [Full text]

Convergent and selective representations of pain, appetitive processes, aversive processes, and cognitive control in the insula

Published in Nature Communications, 2026

Kwon, M., Bo, K., Botvinik-Nezer, R., Kragel, P. A., Van Oudenhove, L., Wager, T. D., & Affective Neuroimaging Consortium. (2026). Convergent and selective representations of pain, appetitive processes, aversive processes, and cognitive control in the insula. Nature Communications, 17(1), 5186. [Full text]

Neural representation of emotional valence in human amygdala and surrounding regions

Published in NeuroImage, 2026

Bo, K., Cui, L., Chen, Y., Chen, G., Keil, A., & Ding, M. (2026). Neural representation of emotional valence in human amygdala and surrounding regions. NeuroImage, 326, 121693. [Full text]

Spatiotemporal dissociation of human amygdala response to negative affect

Manuscript submitted for publication, 2026

Bo, K., Lindquist, M. A., Gianaros, P. J., & Wager, T. D. (2026). Spatiotemporal dissociation of human amygdala response to negative affect. Manuscript submitted for publication.

Mitochondrial energy transformation capacity influences brain activation during sensory, affective, and cognitive tasks

Preprint on bioRxiv, 2025 · manuscript in revision

Bo, K., Kelly, C., Trumpff, C., Hirano, M., Thiebaut de Schotten, M., Picard, M., & Wager, T. D. (2026). Mitochondrial energy transformation capacity influences brain activation during sensory, affective, and cognitive tasks. bioRxiv, 2025.06.25.661482. Manuscript in revision. [Full text]

teaching

BME6940: Supervised Teaching in Biomedical Instrumentation / Introduction to Biomedical Engineering

Undergraduate course, University of Florida, Department of Biomedical Engineering, 2017

Teaching assistant, 2017–2018.

Guest lecture: Cognitive Neuroscience

Guest lecture, The University of Texas at Dallas, 2023

Presented a lecture on the history of emotion theory and emotion regulation, linking foundational concepts to my own research for a graduate-level audience.

Guest lecture: Neuroanatomy

Guest lecture, Dartmouth College, 2024

Delivered a lecture on the history and applications of machine learning and deep learning in neuroimaging.
Shared research experience and discussed current trends in NeuroAI with medical and graduate students.

Guest lecture: Computational Methods for Studying the Neural Code

Guest lecture, University of South Carolina, 2025

Taught Bayesian methods for analyzing neuroimaging data, drawing on my own published work.
Introduced students to neuroimaging research on emotion generation and regulation.

HCS/ACN/PSYC 5312: Introductory Research Methods in Behavioral and Brain Sciences – Part I

Graduate course, The University of Texas at Dallas, School of Behavioral and Brain Sciences, 2026

Course instructor, Fall 2026.

Ke Bo, PhD

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