Roberto Cabeza

Roberto Cabeza

Professor of Psychology and Neuroscience

Education & Training

  • Ph.D., University of Tsukuba (Japan) 1994

Overview

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.

Expertise

Episodic memory, semantic memory, visual memory, attention effects on memory, healthy aging, Alzheimer's Disease, fMRI, TMS, cognitive neuroscience

Beynel, Lysianne, et al. “Effects of Online Repetitive Transcranial Magnetic Stimulation (rTMS) on Cognitive Processing: A Meta-Analysis and Recommendations for Future Studies..” Neurosci Biobehav Rev, Aug. 2019. Pubmed, doi:10.1016/j.neubiorev.2019.08.018. Full Text

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. “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

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

Pages

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

Wang, W. C., et al. “Episodic Memory Decline and Healthy Aging.” Learning and Memory: A Comprehensive Reference, 2017, pp. 475–97. Scopus, doi:10.1016/B978-0-12-809324-5.21093-6. 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. “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

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

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.

Martinikorena, I., et al. “Introducing I2head database.” Proceedings  Petmei 2018: Pervasive Eye Tracking and Mobile Eye Based Interaction, 2018. Scopus, doi:10.1145/3208031.3208033. Full Text

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.

Pages

Selected Grants

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

Behavior and Physiology in Aging awarded by National Institutes of Health (Mentor). 2015 to 2020

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

Pages