Professor of Psychology and Neuroscience
Education & Training
Ph.D., University of Tsukuba (Japan) 1994
My laboratory investigates the neural correlates of memory and cognition in young and older adults using fMRI. We have three main lines of research: First, we distinguish the neural correlates of various episodic memory processes. For example, we have compared encoding vs. retrieval, item vs. source memory, recall vs. recognition, true vs. false memory, and emotional vs. nonemotional memory. We are particularly interested in the contribution of prefrontal cortex (PFC) and medial temporal lobe (MTL) subregions and their interactions.Second, we investigate similarities and differences between the neural correlates of episodic memory and other memory and cognitive functions (working, semantic, implicit, and procedural memory; attention; perception, etc.). The main goal of this cross-functional approach is to understand the contributions of brain regions shared by different cognitive functions. Finally, in both episodic memory and cross-function studies, we also examine the effects of healthy and pathological aging. Regarding episodic memory, we have linked processes differentially affected by aging (e.g., item vs. source memory, recall vs. recognition) to the effects of aging on specific PFC and MTL subregions. Regarding cross-function comparisons, we identify age-related changes in activity that are common to various functions. For example, we have found an age-related increase in bilaterality that occurs for many functions (memory, attention, language, perception, and motor) and is associated with functional compensation.
Episodic memory, semantic memory, visual memory, attention effects on memory, healthy aging, Alzheimer's Disease, fMRI, TMS, cognitive neuroscience
Berger, Miles, et al. “The INTUIT Study: Investigating Neuroinflammation Underlying Postoperative Cognitive Dysfunction..” J Am Geriatr Soc, vol. 67, no. 4, Apr. 2019, pp. 794–98. Pubmed, doi:10.1111/jgs.15770. Full Text Open Access Copy
Cabeza, Roberto, et al. “Reply to 'Mechanisms underlying resilience in ageing'..” Nature Reviews. Neuroscience, vol. 20, no. 4, Apr. 2019. Epmc, doi:10.1038/s41583-019-0139-z. Full Text
Davis, Simon W., et al. “Cooperative contributions of structural and functional connectivity to successful memory in aging..” Netw Neurosci, vol. 3, no. 1, 2019, pp. 173–94. Pubmed, doi:10.1162/netn_a_00064. Full Text Open Access Copy
Beynel, L., et al. “Online repetitive transcranial magnetic stimulation during working memory in younger and older adults: A randomized within-subject comparison..” Plos One, vol. 14, no. 3, 2019. Pubmed, doi:10.1371/journal.pone.0213707. Full Text
Davis, S. W., et al. “Complementary topology of maintenance and manipulation brain networks in working memory..” Sci Rep, vol. 8, no. 1, Dec. 2018. Pubmed, doi:10.1038/s41598-018-35887-2. Full Text
Wang, Wei-Chun, et al. “Neural basis of goal-driven changes in knowledge activation..” The European Journal of Neuroscience, vol. 48, no. 11, Dec. 2018, pp. 3389–96. Epmc, doi:10.1111/ejn.14196. Full Text
Cabeza, Roberto, et al. “Author Correction: Maintenance, reserve and compensation: the cognitive neuroscience of healthy ageing..” Nature Reviews. Neuroscience, vol. 19, no. 12, Dec. 2018. Epmc, doi:10.1038/s41583-018-0086-0. Full Text
Cabeza, Roberto, et al. “Maintenance, reserve and compensation: the cognitive neuroscience of healthy ageing..” Nature Reviews. Neuroscience, vol. 19, no. 11, Nov. 2018, pp. 701–10. Epmc, doi:10.1038/s41583-018-0068-2. Full Text
Cabeza, Roberto, et al. “Process-Specific Alliances (PSAs) in Cognitive Neuroscience..” Trends in Cognitive Sciences, vol. 22, no. 11, Nov. 2018, pp. 996–1010. Epmc, doi:10.1016/j.tics.2018.08.005. Full Text
Lighthall, Nichole R., et al. “Feedback-Based Learning in Aging: Contributions and Trajectories of Change in Striatal and Hippocampal Systems..” J Neurosci, vol. 38, no. 39, Sept. 2018, pp. 8453–62. Pubmed, doi:10.1523/JNEUROSCI.0769-18.2018. Full Text
Doshi, A., et al. “Geriatric anesthesia: Age-dependent changes in the central and peripheral nervous systems.” Geriatric Anesthesiology: Third Edition, 2017, pp. 145–60. Scopus, doi:10.1007/978-3-319-66878-9_10. Full Text
Jacques, P. L., and R. Cabeza. “Neural Basis of Autobiographical Memory.” Origins and Development of Recollection: Perspectives from Psychology and Neuroscience, 2012. Scopus, doi:10.1093/acprof:oso/9780195340792.003.0008. Full Text
Cabeza, R. “Commentary: Neuroscience frontiers of cognitive aging: Approaches to cognitive neuroscience of aging.” New Frontiers in Cognitive Aging, 2012. Scopus, doi:10.1093/acprof:oso/9780198525691.003.0009. Full Text
Cabeza, R. “Prefrontal and medial temporal lobe contributions to relational memory in young and older adults.” Handbook of Binding and Memory: Perspectives from Cognitive Neuroscience, 2012. Scopus, doi:10.1093/acprof:oso/9780198529675.003.0024. Full Text
Villanueva, A., et al. “Gaze estimation.” Gaze Interaction and Applications of Eye Tracking: Advances in Assistive Technologies, 2011, pp. 310–25. Scopus, doi:10.4018/978-1-61350-098-9.ch021. Full Text
Daselaar, S., and R. Cabeza. “Age-related changes in hemispheric organization.” Cognitive Neuroscience of Aging: Linking Cognitive and Cerebral Aging, 2009. Scopus, doi:10.1093/acprof:oso/9780195156744.003.0014. Full Text
Cabeza, R., et al. “Cognitive Neuroscience of Aging: Emergence of a New Discipline.” Cognitive Neuroscience of Aging: Linking Cognitive and Cerebral Aging, 2009. Scopus, doi:10.1093/acprof:oso/9780195156744.003.0001. Full Text
Dolcos, F., et al. “The Memory Enhancing Effect of Emotion: Functional Neuroimaging Evidence.” Memory and Emotion: Interdisciplinary Perspectives, 2008, pp. 105–34. Scopus, doi:10.1002/9780470756232.ch6. Full Text
Cabeza, R., et al. Principles of Cognitive Neuroscience. Sinauer Associates Incorporated, 2012.
Cabeza, R., et al. Cognitive Neuroscience of Aging: Linking cognitive and cerebral aging. 2009, pp. 1–408. Scopus, doi:10.1093/acprof:oso/9780195156744.001.0001. Full Text
Cabeza, R., and A. Kingstone. Handbook of Functional Neuroimaging of Congnition. 2006.
Larumbe, A., et al. “Supervised Descent Method (SDM) applied to accurate pupil detection in off-the-shelf eye tracking systems.” Eye Tracking Research and Applications Symposium (Etra), 2018. Scopus, doi:10.1145/3204493.3204551. Full Text
Larumbe, A., et al. “Improved Strategies for HPE Employing Learning-by-Synthesis Approaches.” Proceedings 2017 Ieee International Conference on Computer Vision Workshops, Iccvw 2017, vol. 2018-January, 2018, pp. 1545–54. Scopus, doi:10.1109/ICCVW.2017.182. Full Text
Beynel, Lysianne, et al. “fMRI- and Computationally-Guided rTMS Enhances Performance in Working Memory Manipulation.” Neuropsychopharmacology, vol. 42, NATURE PUBLISHING GROUP, 2017, pp. S114–15.
Cerrolaza, J. J., et al. “Generalized multiresolution hierarchical shape models via automatic landmark clusterization.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8675 LNCS, no. PART 3, 2014, pp. 1–8. Scopus, doi:10.1007/978-3-319-10443-0_1. Full Text
Sesma-Sanchez, L., et al. “Design issues of remote eye tracking systems with large range of movement.” Eye Tracking Research and Applications Symposium (Etra), 2014, pp. 243–46. Scopus, doi:10.1145/2578153.2578193. Full Text
Cerrolaza, J. J., et al. “Multiresolution hierarchical shape models in 3D subcortical brain structures.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8150 LNCS, no. PART 2, 2013, pp. 641–48. Scopus, doi:10.1007/978-3-642-40763-5_79. Full Text
Brooks, Jeffrey, et al. “NEURAL CORRELATES OF THE OWN-AGE BIAS IN YOUNGER AND OLDER ADULTS.” Journal of Cognitive Neuroscience, MIT PRESS, 2013, pp. 35–35.
Iyengar, V, Wing, E, Chou, D, and Cabeza, R. "REMEMBERING OTHER PEOPLE'S POLITICAL VIEWS: AN FMRI STUDY OF EMOTIONAL SOURCE MEMORY ENCODING." 20th Annual Meeting of the Cognitive-Neuroscience-Society. April 13, 2013 - April 16, 2013. San Francisco, CA.: MIT PRESS, January 1, 2013.
Hall, Shana, et al. “AN FMRI INVESTIGATION OF THE NEURAL BASIS OF INVOLUNTARY MEMORY: HOW DO THEY DIFFER FROM ESTABLISHED VOLUNTARY MEMORY NETWORKS?.” Journal of Cognitive Neuroscience, MIT PRESS, 2013, pp. 110–110.
Effects of Aging on Episodic Memory-Dependent Decision Making awarded by National Institutes of Health (Principal Investigator). 2018 to 2023
Neuro-inflammation in Postoperative Cognitive Dysfunction: CSF and fMRI Studies awarded by National Institutes of Health (Advisor). 2017 to 2022
Impact of Timing, Targeting, and Brain State on rTMS of Human and Non-Human Primates awarded by National Institutes of Health (Co Investigator). 2017 to 2021
A Phase II Study of an ApoE mimetic peptide to reduce Postoperative Delirium, Cognitive Dysfunction after Non-Cardiac Surgery in Older Adults awarded by Alzheimer’s Drug Discovery Foundation (Co Investigator). 2018 to 2021
Behavioral and Physiology in Aging awarded by National Institutes of Health (Mentor). 2015 to 2020
Memory Representations in Aging awarded by National Institutes of Health (Principal Investigator). 2018 to 2020
Training Autobiographical Memory Retrieval in Healthy Older Adults Using Novel Lifelogging Technology awarded by National Institutes of Health (Principal Investigator). 2018 to 2020
Using fMRI-guided TMS to increase central executive function in older adults awarded by National Institutes of Health (Co-Principal Investigator). 2015 to 2020
Spatiotemporal Dynamics of Memory Reactivation awarded by National Institutes of Health (Co-Sponsor). 2018 to 2020
Collaboratory on Research Definitions for Cognitive Reserve and Resilience awarded by (Principal Investigator). 2018 to 2019