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Izzetoglu, M., Dor, B. B., Black, J., Ayaz, H., Liptrap, E., Stephens, S. W., Smith, T. M., Reynolds, L., Richman, J., Valadka, A., Holcomb, J., & Jansen, J. O. (2024). Variability Reduction in NIRS Measurements for Reliable TBI Patient Monitoring. IEEE Sensors Journal, 1–1. https://doi.org/10.1109/JSEN.2024.3457905 Cite
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Ayaz, H., Dehais, F., Pilloni, G., Charvet, L., & Bikson, M. (2024). Editorial: Neurotechnology for sensing the brain out of the lab: methods and applications for mobile functional neuroimaging. Frontiers in Neuroergonomics, 5, 1454894. https://doi.org/10.3389/fnrgo.2024.1454894 Cite
Gramann, K., Lotte, F., Dehais, F., Ayaz, H., Vukelić, M., Karwowski, W., Fairclough, S., Brouwer, A.-M., & Roy, R. N. (2024). Editorial: Open science to support replicability in neuroergonomic research. Frontiers in Neuroergonomics, 5, 1459204. https://doi.org/10.3389/fnrgo.2024.1459204 Cite
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Barreto, C., Curtin, A., Topoglu, Y., Day-Watkins, J., Garvin, B., Foster, G., Ormanoglu, Z., Sheridan, E., Connell, J., Bennett, D., Heffler, K., & Ayaz, H. (2024). Prefrontal Cortex Responses to Social Video Stimuli in Young Children with and without Autism Spectrum Disorder. Brain Sciences, 14(5), 503. https://doi.org/10.3390/brainsci14050503 Cite Download
Mark, J. A., Curtin, A., Kraft, A. E., Ziegler, M. D., & Ayaz, H. (2024). Mental workload assessment by monitoring brain, heart, and eye with six biomedical modalities during six cognitive tasks. Frontiers in Neuroergonomics, 5, 1345507. https://doi.org/10.3389/fnrgo.2024.1345507 Cite Download
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Da Silva Soares, R., Ramirez-Chavez, K. L., Tufanoglu, A., Barreto, C., Sato, J. R., & Ayaz, H. (2024). Cognitive Effort during Visuospatial Problem Solving in Physical Real World, on Computer Screen, and in Virtual Reality. Sensors, 24(3), 977. https://doi.org/10.3390/s24030977 Cite Download
Brandt-Rauf, P. W., & Ayaz, H. (2024). Occupational Health and Neuroergonomics: The Future of Wearable Neurotechnologies at the Workplace. Journal of Occupational & Environmental Medicine, 66(6), 456–460. https://doi.org/10.1097/JOM.0000000000003080 Cite
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https://ayazlab.com/izackazu/zotpress/
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Papasideris, M., Ayaz, H., & Hall, P. A. (2021). Medial prefrontal brain activity correlates with emerging symptoms of anxiety and depression in late adolescence: A fNIRS study. Developmental Psychobiology, 63(7). https://doi.org/10.1002/dev.22199 Cite
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Hall, P. A., Sheeran, P., Fong, G. T., Cheah, C. S. L., Oremus, M., Liu-Ambrose, T., Sakib, M. N., Butt, Z. A., Ayaz, H., Jandu, N., & Morita, P. P. (2021). Biobehavioral Aspects of the COVID-19 Pandemic: A Review. Psychosomatic Medicine, 83(4), 309–321. https://doi.org/10.1097/PSY.0000000000000932 Cite Download
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Fatakdawala, I., Ayaz, H., Safati, A. B., Sakib, M. N., & Hall, P. A. (2021). Effects of prefrontal theta burst stimulation on neuronal activity and subsequent eating behavior: an interleaved rTMS and fNIRS study. Social Cognitive and Affective Neuroscience, 23, 1–14. https://doi.org/10.1093/scan/nsab023 Cite Download
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Ayaz, H., Izzetoglu, M., Izzetoglu, K., Onaral, B., & Ben Dor, B. (2019). Early diagnosis of traumatic intracranial hematomas. Journal of Biomedical Optics, 24(05), 1. https://doi.org/10.1117/1.JBO.24.5.051411 Cite Download
Ayaz, H., & Dehais, F. (2019). Neuroergonomics: The Brain at Work and Everyday Life. Elsevier Academic Press. https://www.elsevier.com/books/neuroergonomics/ayaz/978-0-12-811926-6 Cite
Huhn, A. S., Brooner, R. K., Sweeney, M. M., Yip, S. W., Ayaz, H., & Dunn, K. E. (2019). Increased neural activity in the right dorsolateral prefrontal cortex during a risky decision-making task is associated with cocaine use in methadone-maintained patients. Drug and Alcohol Dependence, 205, 107650. https://doi.org/10.1016/j.drugalcdep.2019.107650 Cite Download
Wang, L., Ayaz, H., & Izzetoglu, M. (2019). Investigation of the source‐detector separation in near infrared spectroscopy for healthy and clinical applications. Journal of Biophotonics, 12(11). https://doi.org/10.1002/jbio.201900175 Cite
Saadati, M., Nelson, J., & Ayaz, H. (2019). Mental Workload Classification From Spatial Representation of FNIRS Recordings Using Convolutional Neural Networks. 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP), 1–6. https://doi.org/10.1109/MLSP.2019.8918861 Cite Download
Ayaz, H., Curtin, A., Mark, J., Kraft, A., & Ziegler, M. (2019). Predicting Future Performance based on Current Brain Activity: An fNIRS and EEG Study. 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 3925–3930. https://doi.org/10.1109/SMC.2019.8914412 Cite Download
Curtin, A., Ayaz, H., Tang, Y., Sun, J., Wang, J., & Tong, S. (2019). Enhancing neural efficiency of cognitive processing speed via training and neurostimulation: An fNIRS and TMS study. NeuroImage, 198, 73–82. https://doi.org/10.1016/j.neuroimage.2019.05.020 Cite Download
Huhn, A. S., Sweeney, M. M., Brooner, R. K., Kidorf, M. S., Tompkins, D. A., Ayaz, H., & Dunn, K. E. (2019). Prefrontal cortex response to drug cues, craving, and current depressive symptoms are associated with treatment outcomes in methadone-maintained patients. Neuropsychopharmacology, 44(4), 826–833. https://doi.org/10.1038/s41386-018-0252-0 Cite Download
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Liu, Y., & Ayaz, H. (2018). Speech Recognition via fNIRS Based Brain Signals. Frontiers in Neuroscience, 12, 695. https://doi.org/10.3389/fnins.2018.00695 Cite Download
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Cheng, L., Zhu, Y., Sun, J., Deng, L., He, N., Yang, Y., Ling, H., Ayaz, H., Fu, Y., & Tong, S. (2018). Principal States of Dynamic Functional Connectivity Reveal the Link Between Resting-State and Task-State Brain: An fMRI Study. International Journal of Neural Systems, 28(07), 1850002. https://doi.org/10.1142/S0129065718500028 Cite Download
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Bhatt, S., Lee, J., Deutsch, J., Ayaz, H., Fulton, B., & Suri, R. (2018). From food waste to value-added surplus products (VASP): Consumer acceptance of a novel food product category. Journal of Consumer Behaviour, 17(1), 57–63. https://doi.org/10.1002/cb.1689 Cite Download
Gateau, T., Ayaz, H., & Dehais, F. (2018). In silico vs. Over the Clouds: On-the-Fly Mental State Estimation of Aircraft Pilots, Using a Functional Near Infrared Spectroscopy Based Passive-BCI. Frontiers in Human Neuroscience, 12. https://www.frontiersin.org/article/10.3389/fnhum.2018.00187 Cite
Liu, Y., & Ayaz, H. (2018). Speech Recognition via fNIRS Based Brain Signals. Frontiers in Neuroscience, 12. https://www.frontiersin.org/article/10.3389/fnins.2018.00695 Cite
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Shewokis, P. A., Shariff, F. U., Liu, Y., Ayaz, H., Castellanos, A., & Lind, D. S. (2017). Acquisition, retention and transfer of simulated laparoscopic tasks using fNIR and a contextual interference paradigm. The American Journal of Surgery, 213(2), 336–345. https://doi.org/10.1016/j.amjsurg.2016.11.043 Cite
Kaimal, G., Ayaz, H., Herres, J., Dieterich-Hartwell, R., Makwana, B., Kaiser, D. H., & Nasser, J. A. (2017). Functional near-infrared spectroscopy assessment of reward perception based on visual self-expression: Coloring, doodling, and free drawing. The Arts in Psychotherapy, 55, 85–92. https://doi.org/10.1016/j.aip.2017.05.004 Cite Download
Liu, Y., Piazza, E. A., Simony, E., Shewokis, P. A., Onaral, B., Hasson, U., & Ayaz, H. (2017). Measuring speaker–listener neural coupling with functional near infrared spectroscopy. Scientific Reports, 7(1), 43293. https://doi.org/10.1038/srep43293 Cite Download
McKendrick, R., Mehta, R., Ayaz, H., Scheldrup, M., & Parasuraman, R. (2017). Prefrontal Hemodynamics of Physical Activity and Environmental Complexity During Cognitive Work. Human Factors: The Journal of the Human Factors and Ergonomics Society, 59(1), 147–162. https://doi.org/10.1177/0018720816675053 Cite Download
Shewokis, P. A., Shariff, F. U., Liu, Y., Ayaz, H., Castellanos, A., & Lind, D. S. (2017). Acquisition, retention and transfer of simulated laparoscopic tasks using fNIR and a contextual interference paradigm. The American Journal of Surgery, 213(2), 336–345. https://doi.org/10.1016/j.amjsurg.2016.11.043 Cite Download
Gramann, K., Fairclough, S. H., Zander, T. O., & Ayaz, H. (2017). Editorial: Trends in Neuroergonomics. Frontiers in Human Neuroscience, 11. https://www.frontiersin.org/article/10.3389/fnhum.2017.00165 Cite
Batula, A. M., Mark, J. A., Kim, Y. E., & Ayaz, H. (2017). Comparison of Brain Activation during Motor Imagery and Motor Movement Using fNIRS. Computational Intelligence and Neuroscience, 2017, 1–12. https://doi.org/10.1155/2017/5491296 Cite Download
Batula, A. M., Kim, Y. E., & Ayaz, H. (2017). Virtual and Actual Humanoid Robot Control with Four-Class Motor-Imagery-Based Optical Brain-Computer Interface. BioMed Research International, 2017, 1–13. https://doi.org/10.1155/2017/1463512 Cite Download
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Di Domenico, S. I., Rodrigo, A. H., Ayaz, H., Fournier, M. A., & Ruocco, A. C. (2015). Decision-making conflict and the neural efficiency hypothesis of intelligence: A functional near-infrared spectroscopy investigation. NeuroImage, 109, 307–317. https://doi.org/10.1016/j.neuroimage.2015.01.039 Cite
McKendrick, R., Parasuraman, R., & Ayaz, H. (2015). Wearable functional near infrared spectroscopy (fNIRS) and transcranial direct current stimulation (tDCS): expanding vistas for neurocognitive augmentation. Frontiers in Systems Neuroscience, 9. https://doi.org/10.3389/fnsys.2015.00027 Cite Download
Sun, Y., Ayaz, H., & Akansu, A. N. (2015). Neural correlates of affective context in facial expression analysis: A simultaneous EEG-fNIRS study. 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 820–824. https://doi.org/10.1109/GlobalSIP.2015.7418311 Cite Download
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Rodrigo, A., Domenico, S. I. D., Ayaz, H., Gulrajani, S., Lam, J., & Ruocco, A. C. (2014). Differentiating functions of the lateral and medial prefrontal cortex in motor response inhibition. NeuroImage, 85, 423–431. https://doi.org/10.1016/j.neuroimage.2013.01.059 Cite Download
Curtin, A., Izzetoglu, K., Reynolds, J., Menon, R., Izzetoglu, M., Osbakken, M., & Onaral, B. (2014). Functional near-infrared spectroscopy for the measurement of propofol effects in conscious sedation during outpatient elective colonoscopy. NeuroImage, 85, 626–636. https://doi.org/10.1016/j.neuroimage.2013.07.009 Cite Download