fMRI+Dev Brain: Davidson, M. C., Thomas, K. M., & Casey, B. J. (2003). Imaging the developing brain with fMRI. Mental Retardation and Developmental Disabilities Research Reviews, 9(3), 161–167. https://doi.org/10.1002/mrdd.10076

fMRI+Data: Pinel, P., Thirion, B., Meriaux, S., Jobert, A., Serres, J., Le Bihan, D., … Dehaene, S. (2007). Fast reproducible identification and large-scale databasing of individual functional cognitive networks. BMC Neuroscience, 8, 91. https://doi.org/10.1186/1471-2202-8-91

fMRI+Ethics: Farah, M. J. (2012). Neuroethics: the ethical, legal, and societal impact of neuroscience. Annual Review of Psychology, 63, 571–591. https://doi.org/10.1146/annurev.psych.093008.100438

fMRI+GLM+Parenting: Kim, P., Capistrano, C., & Congleton, C. (2016). Socioeconomic disadvantages and neural sensitivity to infant cry: role of maternal distress. Social Cognitive and Affective Neuroscience, 11(10), 1597–1607. https://doi.org/10.1093/scan/nsw063

fMRI+Connectivity: Dufford, A. J., Erhart, A., & Kim, P. (2019). Maternal brain resting-state connectivity in the postpartum period. Journal of Neuroendocrinology, 31(9), e12737. https://doi.org/10.1111/jne.12737

fMRI+Deep Learning+Survey: Wen, D., Wei, Z., Zhou, Y., Li, G., Zhang, X., & Han, W. (2018). Deep Learning Methods to Process fMRI Data and Their Application in the Diagnosis of Cognitive Impairment: A Brief Overview and Our Opinion. Frontiers in Neuroinformatics, 12, 23. https://doi.org/10.3389/fninf.2018.00023

fMRI+AI+Emotion: Kragel, P. A., Reddan, M. C., LaBar, K. S., & Wager, T. D. (2019). Emotion schemas are embedded in the human visual system. Science Advances, 5(7), eaaw4358. https://doi.org/10.1126/sciadv.aaw4358

fMRI+Moral+AI: van Baar, J. M., Chang, L. J., & Sanfey, A. G. (2019). The computational and neural substrates of moral strategies in social decision-making. Nature Communications, 10(1), 1483. https://doi.org/10.1038/s41467-019-09161-6

fNIRS+Survey+Dev. Brain: Lloyd-Fox, S., Blasi, A., & Elwell, C. E. (2010). Illuminating the developing brain: the past, present and future of functional near infrared spectroscopy. Neuroscience and Biobehavioral Reviews, 34(3), 269–284. https://doi.org/10.1016/j.neubiorev.2009.07.008

fNIRS+HCI: Treacy Solovey, E., Afergan, D., Peck, E. M., Hincks, S. W., & Jacob, R. J. K. (2015). Designing Implicit Interfaces for Physiological Computing: Guidelines and Lessons Learned Using fNIRS. ACM Trans. Comput. -Hum. Interact., 21(6), 35:1–35:27. https://doi.org/10.1145/2687926

fNIRS+ML+Trust: Hirshfield, L., Bobko, P., Barelka, A., Sommer, N., & Velipasalar, S. (2019). Toward Interfaces that Help Users Identify Misinformation Online: Using fNIRS to Measure Suspicion. Augmented Human Research, 1(4), 1–13. https://doi.org/10.1007/s41133-019-0011-8

fNIRS+Hypersensing+Parenting: Azhari, A., Leck, W. Q., Gabrieli, G., Bizzego, A., Rigo, P., Setoh, P., … Esposito, G. (2019). Parenting Stress Undermines Mother-Child Brain-to-Brain Synchrony: A Hyperscanning Study. Scientific Reports, 9(1), 11407. https://doi.org/10.1038/s41598-019-47810-4