Academic
Credentials
Quinn Kennedy, PhD
Journal Publications
Veteran Research
Greenhalgh, M., Fitzpatrick, C., Rodabaugh, T., Madrigal, E., Timmerman, M., Chung, J., Ahuja, D., Kennedy, Q., Harris, O., & Adamson, M. (2021). Assessment of task demand and usability of a virtual reality-based rehabilitation protocol for combat-related traumatic brain injury from the perspective of Veterans Affairs healthcare providers: A Pilot Study. Frontiers in Virtual Reality, 2,p. 133.
Dementia Research
David, R., Friedman, L., Mulin, E., Noda, A., LeDuff, F., Kennedy, Q., Garcia, R. Robert, P. H., Yesavage, J.A. (2011). Lack of association between COMT polymorphisms and apathy in Alzheimer’s disease. Journal of Alzheimer’s Disease, 27(1) 155 -161.
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Miller, T. P., Taylor, J., Rogerson, S. Mauricio, M., Kennedy, Q., Schatzberg, A., Tinklenberg, J., & Yesavage, J. (1998). Cognitive and noncognitive symptoms in dementia patients: Relationship to cortisol and Dehydroepiandrosterone (DHEA). International Psychogeriatrics,10,(1), 85-96.
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Aging Research
De Medeiros, K., Kennedy, Q., Cole, T., Lindley, R., & O’Hara, R. (2007). The impact of autobiographical writing on memory performance in older adults: A preliminary investigation. American Journal of Geriatric Psychiatry,15(3)257- 261.
Kennedy, Q., Mather, M., & Carstensen, L. L. (2004). The role of motivation in the age- related positive bias in autobiographical memory. Psychological Science, 15(3), 208 – 214.
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Kennedy, Q. (2022).
Preserving Financial Autonomy: The Role Of Cognitive Function.
Financial Advisor.
AUGUST 5, 2022 • QUINN KENNEDY
Older Aviators Research
Kennedy, Q., Taylor, J., Heraldez, D., Noda, A., Lazzeroni, L., & Yesavage, J. (2013). Intraindividual variability in basic reaction time predicts middle-aged and older pilots' flight simulator performance. Journals of Gerontology Series B: Psychological Sciences, 68(4), 487 -494.
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Kennedy, Q., Taylor, J. L, Noda, A., Adamson, M., Murphy, G. M., Zeitzer, J., & Yesavage, J. A. (2011). The roles of COMT val158met status and aviation expertise in flight simulator performance and cognitive ability. Behavior Genetics, 41(5), 700-708.
Yesavage, J. A., Jo, B., Adamson, M. M., Kennedy, Q., Noda, A., Hernandez, B., ... & Taylor, J. L. (2011). Initial cognitive performance predicts longitudinal aviator performance. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 66(4), 444-453.
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Kennedy, Q., Taylor, J., Noda, A., Yesavage, J. & Lazzeroni, L. (2015). The STEP Model: Characterizing Simultaneous Time effects on practice for flight simulator performance among middle-aged and older pilots. Psychology and Aging, 30(3), 699 – 711.
Taylor, J. L, Kennedy, Q., Adamson, M., Lazzeroni, L., Noda, A., Murphy, G. M., Yesavage, J. A. (2011). Influences of ApoE E-4 and expertise on the performance of older pilots. Psychology and Aging, 26(2) 480-487.
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Adamson, M. M., Samarina, V., Xiangyan, X., Huynh, V., Kennedy, Q., Weiner, M., Yesavage, J. & Taylor, J. L (2010). The impact of brain size on pilot performance varies with aviation training and years of education. Journal of the International Neuropsychological Society, 16(3), 412-415.
Kennedy, Q., Taylor, J. L., Reade, G., & Yesavage, J. (2010). Age and expertise effects in aviation decision making and flight control in a flight simulator. Aviation, Space, and Environmental Medicine, 81, 489-497.
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Taylor, J. L., Kennedy, Q., Noda, A., & Yesavage. J. A. (2007). Pilot age and expertise predict flight simulator performance: A three-year longitudinal study. Neurology,68(9), 648-654.