Professor of Psychology and Neuroscience
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.
Behavior and Physiology in Aging awarded by National Institutes of Health (Mentor). 2015 to 2025
Effects of Healthy Aging and Mild Cognitive Impairment on Memory Representations awarded by National Institutes of Health (Principal Investigator). 2021 to 2024
Elucidating mechanisms underlying fluctuations of sustained attention and their influence on memory awarded by National Institutes of Health (Principal Investigator). 2020 to 2023
Effects of Aging on Episodic Memory-Dependent Decision Making awarded by National Institutes of Health (Co-Principal Investigator). 2018 to 2023
Neuro-inflammation in Postoperative Cognitive Dysfunction: CSF and fMRI Studies awarded by National Institutes of Health (Advisor). 2017 to 2023
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 2023
A High-Performance 3T MRI for Brain Imaging awarded by National Institutes of Health (Major User). 2021 to 2022
Collaboratory on Research Definitions for Cognitive Reserve and Resilience awarded by The Trustees of Columbia University (Principal Investigator). 2018 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 2022
Training Autobiographical Memory Retrieval in Healthy Older Adults Using Novel Lifelogging Technology awarded by National Institutes of Health (Principal Investigator). 2018 to 2022
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.
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
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
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
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
Becker, Maxi, and Roberto Cabeza. “Assessing creativity independently of language: A language-independent remote associate task (LI-RAT).” Behavior Research Methods, Mar. 2022. Epmc, doi:10.3758/s13428-021-01773-5. Full Text
Becker, Maxi, et al. “Between automatic and control processes: How relationships between problem elements interact to facilitate or impede insight.” Mem Cognit, Mar. 2022. Pubmed, doi:10.3758/s13421-022-01277-3. Full Text
Beynel, Lysianne, et al. “Network-based rTMS to modulate working memory: The difficult choice of effective parameters for online interventions.” Brain Behav, vol. 11, no. 11, Nov. 2021, p. e2361. Pubmed, doi:10.1002/brb3.2361. Full Text
Deng, Lifu, et al. “Age-related dedifferentiation and hyperdifferentiation of perceptual and mnemonic representations.” Neurobiol Aging, vol. 106, Oct. 2021, pp. 55–67. Pubmed, doi:10.1016/j.neurobiolaging.2021.05.021. Full Text
Stanley, Matthew L., et al. “Memory and Counterfactual Simulations for Past Wrongdoings Foster Moral Learning and Improvement.” Cognitive Science, vol. 45, no. 6, June 2021, p. e13007. Epmc, doi:10.1111/cogs.13007. Full Text
Hovhannisyan, Mariam, et al. “The visual and semantic features that predict object memory: Concept property norms for 1,000 object images.” Mem Cognit, vol. 49, no. 4, May 2021, pp. 712–31. Pubmed, doi:10.3758/s13421-020-01130-5. Full Text
Hovhannisyan, Mariam, et al. “Correction to: The visual and semantic features that predict object memory: Concept property norms for 1,000 object images.” Mem Cognit, vol. 49, no. 4, May 2021, p. 732. Pubmed, doi:10.3758/s13421-021-01145-6. Full Text
Geib, B. R., et al. “Linking the Rapid Cascade of Visuo-Attentional Processes to Successful Memory Encoding.” Cereb Cortex, vol. 31, no. 4, Mar. 2021, pp. 1861–72. Pubmed, doi:10.1093/cercor/bhaa295. Full Text
Deng, Lifu, et al. “Age-Related Compensatory Reconfiguration of PFC Connections during Episodic Memory Retrieval.” Cereb Cortex, vol. 31, no. 2, Jan. 2021, pp. 717–30. Pubmed, doi:10.1093/cercor/bhaa192. Full Text
Davis, Simon W., et al. “Visual and Semantic Representations Predict Subsequent Memory in Perceptual and Conceptual Memory Tests.” Cerebral Cortex (New York, N.Y. : 1991), vol. 31, no. 2, Jan. 2021, pp. 974–92. Epmc, doi:10.1093/cercor/bhaa269. Full Text
Garde, G., et al. “Synthetic Gaze Data Augmentation for Improved User Calibration.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12663 LNCS, 2021, pp. 377–89. Scopus, doi:10.1007/978-3-030-68796-0_27. Full Text
Beynel, Lysianne, et al. “Online Repetitive Transcranial Magnetic Stimulation Enhances Working Memory Performance in Younger and Older Adults.” Neuropsychopharmacology, vol. 43, NATURE PUBLISHING GROUP, 2018, pp. S78–S78.
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
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.
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
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.
Dew, Ilana, and Roberto Cabeza. “EFFECTS OF FLUENCY ON RECOGNITION MEMORY DECISIONS IN YOUNG AND OLDER ADULTS: AN FMRI STUDY.” Journal of Cognitive Neuroscience, MIT PRESS, 2013, pp. 167–167.
Madden, David, et al. “AGE-RELATED DIFFERENCES IN THE FUNCTIONAL NEUROANATOMY OF TOP-DOWN ATTENTIONAL CONTROL DURING VISUAL SEARCH.” Journal of Cognitive Neuroscience, MIT PRESS, 2013, pp. 62–63.
Brashier, Nadia, et al. “PERCEPTUAL PROCESSING ENHANCES THE EFFECT OF EMOTION ON RETRIEVAL: AN FMRI STUDY.” Journal of Cognitive Neuroscience, MIT PRESS, 2013, pp. 37–38.