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Newsroom

  • The Center mourns the loss of a dear friend and tireless CVL supporter. click here

  • CVL councilmember and benefactor’s life remembered in the Dallas Morning News.click here

  • Aging-themed issue of Nautilus Magazine explores cognitive benefits of learning a new game such as chess, cites CVL.click here

  • ‘Fitizen’ group at the Jewish Community Center of Dallas learns about research at CVL. click here

  • CVL research published in JoN finds that some memories persist in the face of strong interference. click here

  • Dr. Sara Festini’s research probes busyness levels and cognitive performance.click here

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CVl Annual Review


CVl Annual Review

Charting Our Progress is CVL’s annual review, with archives available

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RESEARCH LABS

Aging Mind Laboratory – PARK LAB

Led by Denise Park, the lab studies the same participants over many years as part its Dallas Lifespan Brain Study (DLBS), a large-scale longitudinal research project designed to characterize neural and cognitive aging across the entire adult lifespan from age 20 to 90. The DLBS focuses on predicting the cognitive future of healthy adults by imaging amyloid plaques associated with Alzheimer’s Disease that many healthy people carry. Supported by an NIH MERIT award, as well as funding from Avid Radiopharmaceuticals, the lab images amyloid deposits using florbetapir in healthy adults. Findings were featured at the 2014 International Alzheimer’s Association Conference held in Copenhagen A second major study, The Synapse Project, has found that engaging in mentally demanding leisure activities like quilting, photography, or learning iPad apps, supports memory function in older adults. Both the DLBS and The Synapse Project are funded by the National Institute on Aging and involve collaboration with other CVL faculty. Park participates extensively in NIH review panels and has chaired for nine years the International Scientific Review Committee (Beirat) for the Max Planck Institute for Human Development in Berlin, Germany. Another area of recent inquiry for the lab is a research program that examines cultural differences in cognitive and neural aging, specifically, how immersing in a cultural context could influence both structural and functional circuits of the brain.

Washington University Neuroscientist Delivers Colloquium at CVL

DALLAS – March 7, 2016 – Dr. Denise Head, an associate professor of psychology from Washington University in St. Louis, delivered a CVL science colloquium about the neural correlates of spatial navigation and the role that measuring navigation ability in new and familiar places could play in diagnosing pre-clinical Alzheimer’s.

CVL Researchers Attend International Meeting on Behavioral Neuroscience

DUBROVNIK, Croatia, July 8, 2016 – At the 24th annual meeting of the International Society for Behavioural Neuroscience, Dr. Kristen Kennedy, with co-author Dr. Karen Rodrigue gave a talk on how the brain adapts to handle working memory tasks as we age.

Scientists from CVL Present Memory Research in Budapest

BUDAPEST, Hungary – July 18, 2016 – Center for Vital Longevity researchers Drs. Michael Rugg and Josh Koen attended the 6th International Conference on Memory (ICOM)

Study Probes Corpus Callosum Connectivity and Visual Working Memory

DALLAS – August 11, 2016 – A paper published in the most recent edition of Psychophysiology explores how differing levels of corpus callosum connectivity among individuals can affect visual working memory.

Scientific Publications

A list of scientific publications featuring Center for Vital Longevity research, by year:

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2018

Basak, C., Qin, S., Nashiro, K., & O’Connell, M.A. (In press). Functional magnetic neuroimaging data on age-related differences in task switching accuracy and reverse brain-behavior relationships. Data in Brief.

Basak, C. & Qin, S. (2018). Virtual tools for cognitive training in healthy aging and mild cognitive impairment. In R. Pak & A.C. Mclaughlin (Eds.). Aging, Technology, And Health (pp. 215-235). New York: Elsevier.

Chan, M.Y., Na, J., Agres, P., Savalia, N.K., Park, D.C., Wig, G.S. (2018) Socioeconomic status moderates age-related differences in functional network organization and brain anatomy across the adult lifespan. Proceedings of the National Academy of Sciences., 115, 5144-5153.

Foster, C.M., Kennedy, K.M., Hoagey, D.A., Horn, M. M., Rodrigue, K. M. (2018) Both hyper- and hypo-activation to cognitive challenge are associated with increased beta-amyloid deposition in healthy aging: A nonlinear effect. NeuroImage. 166, 285-292.

Foster, C.M., Kennedy, K. M., Horn, M. M., Hoagey, D. A., Rodrigue, K. M. (2018). Aβ predicts nonlinear change in BOLD activation in cognitively normal and preclinical AD adults. NeuroImage.

Horn, M.M., Kennedy, K.M., Rodrigue, K.M. (2018). Association between subjective memory assessment and associative memory performance: Role of AD risk factors. Psychology and Aging, 33(1), 109-118.

Koen, J.D., Thakral, P.P., Rugg, M.D. (In press). Transcranial magnetic stimulation of the left angular gyrus during encoding does not impair associative memory performance. Cognitive Neuroscience.

Nashiro, K., Qin, S., O’Connell, M.A., & Basak, C. (2018). Age-related Differences in BOLD Modulation to Cognitive Control Costs in a Multitasking Paradigm: Global Switch, Local Switch, and Compatibility-Switch Costs. NeuroImage. 172, 146-161.

O’Connell M.A., Basak C. Effects of Task Complexity and Age-Differences on Task-Related Functional Connectivity of Attentional Networks. Neuropsychologia 114, 50-64.

Peng, S.; Chen, Xi; Yang, L; Rodrigue, K.; Park, D.C. (In press). Age-related changes in cerebrovascular reactivity and their relationship to cognition: a four-year longitudinal study. NeuroImage.

Song, Z., Farrell, M., Chen, X., Park, D. (In press). Longitudinal Accrual of Neocortical Amyloid Burden Is Associated with Microstructural Changes of the Fornix in Cognitively Normal Adults. Neurobiology of Aging.

Weintraub, S.; Carrillo, M.C.; Tomaszewski, S.; Goldberg, T.E.; Hendrix, J.A.; Jaeger, J; Knopman, D.;Langbaum, J.B.; Park, D.C.; Ropacki, M.T.; Budur, K.; Graf, A.; Martenyi, F.; Segardahl Storck, M.; Randolph, C. (2018). Measuring cognition and function in the preclinical stage of Alzheimer’s disease. Alzheimer’s and Dementia: Translational Research and Clinical Interventions, p. 1-12.

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2017

Chan, M.Y., Alhazmi, F., Park, D.C., Savalia, N.K., Wig, G.S. (2017). Resting-state network topology differentiates task signals across the adult lifespan. The Journal of Neuroscience, 37, 2734-2745. PubMed.

Chen X., Hertzog C., & Park D.C. (2017). Cognitive Predictors of Everyday Problem Solving across the Lifespan. Gerontology, 63, 372-384. PubMed.

de Chastelaine M., Mattson J.T., Wang T.H., Donley B.E., Rugg M.D. (2017) Independent contributions of fMRI familiarity and novelty effects to recognition memory and their stability across the adult lifespan. Neuroimage. PubMed.

Farrell, M.E., Kennedy, K.M., Rodrigue, K.M., Wig, G.S., Bischof, G.N., Rieck, J.R., Chen, X., Festini, S.B., Devous, M.D. Sr, Park, D.C. (2017). Association of Longitudinal Cognitive Decline with Amyloid Burden in Middle-Aged and Older Adults: Evidence for a Dose-Response Relationship. JAMA Neurolology. PubMed.

Gerstenecker, A., Hoagey, D.A., Marson, D. C.,Kennedy, K.M. (In press). White Matter Degradation is Associated with Reduced Financial Capacity in Mild Cognitive Impairment and Alzheimer’s Disease. Journal of Alzheimer’s Disease.

Kennedy, K. M., Rieck, J. R., Boylan, M. A., Rodrigue, K. M. (2017). Functional magnetic resonance imaging data of incremental increases in visuo-spatial difficulty in a large adult lifespan sample. Data in Brief, 11, 54-60.

Kennedy K.M., Boylan M.A., Rieck, J.R., Foster C.M., & Rodrigue K. M. (In press). Dynamic range in BOLD modulation: Lifespan aging trajectories and association with performance. Neurobiology of Aging.

King D.R., Chastelaine M., Elward R.L., Wang T.H., Rugg M.D. (In press). Dissociation between the neural correlates of recollection and familiarity in the striatum and hippocampus: Across-study convergence. Behavioral Brain Research. PubMed.

King, D.R., de Chastelaine, M., Rugg M.D. (2017). Recollection-related increases in functional connectivity across the healthy adult lifespan. Neurobiology of Aging.

Lega B., Germi J., Rugg M. (2017). Modulation of Oscillatory Power and Connectivity in the Human Posterior Cingulate Cortex Supports the Encoding and Retrieval of Episodic Memories. Journal of Cognitive Neuroscience, 7, 1-18. PubMed.

Lin J.J., Rugg M.D., Das S., Stein J., Rizzuto D.S., Kahana M.J., Lega B.C. (2017) Theta band power increases in the posterior hippocampus predict successful episodic memory encoding in humans. Hippocampus. PubMed.

Lu, Peiying, Y. Li; M. Pinho; D. C Park; B.G. Welch; H. Lu (In press). Cerebrovascular reactivity mapping without gas challenges. Neuroimage, 146, 320-326. PubMed.

Miller, K.J., Hermes, D., Pestilli, F., Wig, G.S., Ojemann, JG. (In press). Face percept formation in human ventral temporal cortex. Journal of Neurophysiology. PubMed.

Na, Jinkyung, Huang, C.M., & Park, D.C. (In press). When age and culture interact in an easy and yet cognitively-demanding task: older adults, but not younger adults show the expected cultural difference. Frontiers in Psychology.

Park, D.C. & Festini (In press). Cognitive health. To appear in Bornstein, R.H., (Ed.) The SAGE Encyclopedia of Lifespan Human Development.

*Rast, P., *Kennedy, K. M., Rodrigue, K. M., Robinson, P.R.A.W., Gross, A.L., McClaren, D.G., Grabowski, T., Schaie, K.W., & Willis, S. L. (2017). APOEε4 Genotype and Hypertension Modify 8-year Cortical Thinning: Five Occasion Evidence from the Seattle Longitudinal Study. Cerebral Cortex. *Shared first authorship.

Ray, N.R.R., O’Connell, M.A., Nashiro, K., Smith, E.T., Qin, S., & Basak, C. Evaluating the relationship between white matter integrity, cognition and varieties of video game learning. Restorative Neurology and Neuroscience.

Rieck, J.R., Rodrigue, K.M., Boylan, M.A., Kennedy, K.M. (2017). Age-related Reduction of BOLD Modulation to Cognitive Difficulty Predicts Poorer Task Accuracy and Poorer Fluid Reasoning Ability. NeuroImage, 147, 262-271. PubMed.

Rugg, M.D., King D.R. (2017) Ventral lateral parietal cortex and episodic memory retrieval. Cortex. Pubmed.

Savalia, N.K., Agres, P.F., Chan, M.Y., Feczko, E.J., Kennedy, K.M., Wig, G.S. (2017). Motion-related artifacts in structural brain images revealed with independent estimates of in-scanner head motion. Human Brain Mapping, 38, 472–492. PubMed.

Sweeney-Reed C.M., Zaehle T., Voges J., Schmitt F.C., Buentjen L., Borchardt V., Walter M., Hinrichs H., Heinze H.J., Rugg M.D., Knight R.T. (2017) Anterior Thalamic High Frequency Band Activity Is Coupled with Theta Oscillations at Rest. Frontiers in Human Neuroscience. PubMed.

Thakral P.P., Wang T.H., Rugg M.D. (2017). Decoding the content of recollection within the core recollection network and beyond. Cortex, 91, 101-113. PubMed.

Wig, G. Segregated systems of human brain networks. (In press). Trends in Cognitive Sciences.

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2016

Band, G. P. H., Basak, C., Slagter, H. A., Voss, M. W. (2016). Editorial: Effects of Game and Game-Like Training on Neurocognitive Plasticity. Frontiers in Human Neuroscience, 10, 123. PubMed.

Basak, C., O’Connell, M.A. (2016). To Switch or not to switch: Role of cognitive control in working memory training in older adults. Special issue on The Temporal Dynamics of Cognitive Processing, Frontiers in Psychology, 7, 1-18. PubMed.

Bischof, G.N., Rodrigue, K.M., Kennedy, K.M., Devous, Park, D.C. (2016). Amyloid deposition in younger adults is linked to episodic memory performance. Neurology, 87, 562-2566.

Cabeza, R., Nyberg, L., Park, D. C. (2016). Cognitive neuroscience of aging: Linking cognitive and cerebral aging 2nd Edition. New York, New York: Oxford University Press.

de Chastelaine, M., Mattson, J.T., Wang, T.H., Donley, B.E., & Rugg, M.D. (2016). The neural correlates of recollection and retrieval monitoring: Relationships with age and recollection performance. Neuroimage, 138, 164-75. PubMed.

de Chastelaine, M., Mattson, J.T., Wang, T.H., Donley, B.E., & Rugg, M.D. (2016). The relationships between age, associative memory performance, and the neural correlates of successful associative memory encoding. Neurobiology of Aging, 42, 163-76. PubMed.

Festini, S. B., McDonough, I. M., Park, D. C. (2016). The busier the better: Greater busyness is associated with better cognition. Frontiers in Aging Neuroscience, 8. PubMed.

Koen J.D., & Rugg M.D. (2016). Memory reactivation predicts resistance to retroactive interference: evidence from multivariate classification and pattern similarity analyses. Journal of Neuroscience, 36, 4389-99. PubMed.

McDonough, I. M., Bischof, G. N., Kennedy, K. M., Rodrigue, K. M., Farrell, M. E., Park, D. C. (2016). Discrepancies between Fluid and Crystallized Ability in Healthy Adults: A Behavioral Marker of Preclinical Alzheimer’s Disease. Neurobiology of Aging, 46, 69-75.

Na, J. Chan, M., Lodi-Smith, J., and Park, D.C. (2016). Social-class differences in self-concept clarity and the implications for well-being. Journal of Health Psychology. PubMed.

Na, J., McDonough, I., Chan, M., and Park, D. C. (2016). Social-class differences in consumer choices: Working-class individuals are more sensitive to choices of others than middle-class individuals. Personality and Social Psychology Bulletin, 42, 430-43. PubMed.

Park, D.C. & Festini, S.B. (2016). Theories of memory and aging: A look at the past and a glimpse of the future. Journal of Gerontology: Psychological Sciences. PubMed

Park, D.C. & Festini, S. (2016). The middle-aged brain: A cognitive neuroscience perspective. To appear in Cabeza, R., Nyberg, L., and Park, D.C. The Cognitive Neuroscience of Aging: Linking Cognitive and Cerebral Aging. 2nd Edition. New York: Oxford University Press. pp. 363-388.

Qin, S., Ray, N. R., Ramakrishnan, N., Nashiro, K., O’Connell, M. A. & Basak, C. (2016). Illusory conjunctions in visual short-term memory: Individual differences in corpus callosum connectivity and splitting attention between the two hemifields. Psychophysiology, 53, 1639–1650.

Song, Z., McDonough, I., Liu, P., Lu, H., Park, D.C. (2016) Cortical Amyloid Burden and Age Moderate Hippocampal Activity in Cognitively-Normal Adults. NeuroImage:Clinical. PubMed.

Sweeney-Reed C.M, Zaehle T., Voges J., Schmitt F.C., Buentjen L., Kopitzki K., Richardson-Klavehn A., Hinrichs H, Heinze H.J., Knight R.T., Rugg M.D.. (2016). Clinical, neuropsychological, and pre-stimulus dorsomedial thalamic nucleus electrophysiological data in deep brain stimulation patients. Data in Brief, 8, 557-61. PubMed.

Sweeney-Reed C.M., Zaehle T., Voges J., Schmitt F.C., Buentjen L., Kopitzki K., Richardson-Klavehn A., Hinrichs H., Heinze H.J., Knight R.T., & Rugg, M.D. (2016). Pre-stimulus thalamic theta power predicts human memory formation. Neuroimage, 138, 100-8. PubMed.

Wang, T.H., Johnson, J.D., de Chastelaine, M., Donley, B.E., & Rugg, M.D. (2016). The effects of age on the neural correlates of recollection success, recollection-related cortical reinstatement, and post-retrieval monitoring. Cerebral Cortex, 26, 1698-714. PubMed.

Wisse, L. E. M., Daugherty, A. M., Olsen, R. K., Berron, D., Carr, V. A., Stark, C. E. L., Amaral, R. S. C., Amunts, K., Augustinack, J. C., Bender, A. R., Bernstein, J. D., Boccardi, M., Bocchetta, M., Burggren, A., Chakravarty, M. M., Chupin, M., Ekstrom, A., de Flores, R., Insausti, R., Kanel, P., Kedo, O., Kennedy, K. M., Kerchner, G. A., LaRocque, K., Liu, X., Maass, A., Malykhin, N., Mueller, S. G., Ofen, N., Palombo, D. J., Parekh, M. B., Pluta, J. B., Pruessner, J. C., Raz, N., Rodrigue, K. M., Schoemaker, D., Shafer, A.T., Steve, T. A., Suthana, N., Wang, L., Winterburn, J. L., Yassa, M. A., Yushkevich, P. A., la Joie, R., for the Hippocampal Subfields Group (2016). A harmonized segmentation protocol for hippocampal and parahippocampal subregions: Why do we need one and what are the key goals? Hippocampus, 27, 3-11. PubMed.

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2015

Addante, R.J., de Chastelaine, M., & Rugg, M.D. (2015). Pre-stimulus neural activity predicts successful encoding of inter-item associations. Neuroimage, 105, 21-31. PubMed.

Bischof, G.N. & Park, D.C. (2015). Obesity and Aging: Consequences for Cognition, Brain Structure, and Brain Function. Psychosomatic Medicine 77, 697-709. PubMed

Curtis, L.M.; Revelle, W.; Waite, K.; Wilson, E.A.; Condon, D.M.; Bojarski, E.; Park, D.C.; Baker, D.W.; Wolf, M.S.. (2015). Development and validation of the Comprehensive Health Activities Scale: A new approach to health literacy measurement. Journal of Health Communications, 20, 157-64. PubMed

de Chastelaine, M., & Rugg, M.D. (2015). The effects of study task on prestimulus subsequent memory effects in the hippocampus. Hippocampus, 25, 1217-23. PubMed.

de Chastelaine, M., Mattson, J.T., Wang, T.H., Donley, B.E., & Rugg, M.D. (2015). Sensitivity of negative subsequent memory and task-negative effects to age and associative memory performance. Brain Research, 1612, 16-29. PubMed.

Elward, R.L., & Rugg, M.D. (2015). Retrieval Goal Modulates Memory for Context. Journal of Cognitive Neuroscience, 27, 2529-40. PubMed.

Elward, R. L., Vilberg, K. L., & Rugg, M. D. (2015). Motivated memories: Effects of reward and recollection in the core recollection network and beyond. Cerebral Cortex, 25, 3159-66. PubMed.

Kennedy, K.M; Rodrigue, K.M.; Bischof, G.M; Hebrank, A.C.; Reuter-Lorenz, P.A.; Park, D.C. (2015). Age trajectories of functional activation under conditions of low and high processing demands: An adult lifespan fMRI study of the aging brain. Neuroimage, 104, 21-34. PubMed

Kennedy, K. M., Reese, E., Horn, M., Sizemore, A., Unni, A., Meerbrey, M., Kalich, A., Rodrigue, K. M. (2015). BDNF val66met Polymorphism Affects Aging of Multiple Types of Memory. Brain Research, 1612, 104-117. PubMed.

King, D.R., de Chastelaine, M., Elward, R.L., Wang, T.H., & Rugg, M.D. (2015). Recollection-related increases in functional connectivity predict individual differences in memory accuracy. Journal of Neuroscience, 35, 1763-72. PubMed.

Kobayashi, L.C.; Smith, S.G.; O’Conor, R.; Curtis, L.M.; Park, D.C.; von Wagner, C.; Deary, I.J.; Wolf, M.S.. (2015). The role of cognitive function in the relationship between age and health literacy: a cross-sectional analysis of older adults in Chicago, USA. BMJ Open, 5, 1-8. PubMed

McDonough, IM; Haber, S; Bischof, GN; Park, DC. (2015). The synapse project: Engagement in mentally challenging activities enhances neural efficiency. Restorative neurology and neuroscience, 33, 865-82. PubMed

Park, D.C., & Farrell, M. (2015). Amyloid deposition and progression toward Alzheimer’s disease. In Schaie, W.K. and Willis, S. (Eds.) Handbook of the Psychology of Aging: Eighth Edition. New York: Elsevier.

Rieck, JR; Rodrigue, KM; Kennedy, KM; Devous, MD; Park, DC. (2015). The effect of beta-amyloid on face processing in young and old adults: A multivariate analysis of the BOLD signal. Human brain Mapping. PubMed

Sweeney-Reed C.M., Zaehle T., Voges J., Schmitt F.C., Buentjen L., Kopitzki K., Hinrichs H., Heinze H.J., Rugg M.D., Knight R.T., Richardson-Klavehn A. (2015). Thalamic theta phase alignment predicts human memory formation and anterior thalamic cross-frequency coupling. Elife. PubMed.

Thakral, P. P., Wang, T. H., & Rugg, M. D. (2015). Cortical reinstatement and the confidence and accuracy of source memory. Neuroimage, 109, 118-29. PubMed.

Thakral, P. P., Yu, S. S., & Rugg, M. D. (2015). The hippocampus is sensitive to the mismatch in novelty between items and their contexts. Brain Research, 1602, 144-52. PubMed.

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2014

Chan, M.Y., Park, D.C., Savalia, N.K., Petersen, S.E., Wig, G.S. (2014). Decreased segregation of brain systems across the healthy adult lifespan. Proceedings of the National Academy of Sciences. 111: 4997-5006. PubMed.

Chan, M.Y., Haber, S., Drew, L.M., & Park, D.C. (2014). Training older adults to use tablet computers: Does it enhance cognitive function. The Gerontologist. PubMed.

Curtis, L.M., Revelle, W., Waite, K., Wilson, E.A., Condon, D.M., Bojarski, E., Park, D.C., Baker, D.W. and Wolf, M.S. (2014). Development and validation of the Comprehensive Health Activities Scale: A new approach to health literacy measurement. Journal of Health Communications, 1-8. PubMed.

de Chastelaine, M. & Rugg, M.D. (2014). The relationship between task-related and subsequent memory effects. Human Brain Mapping, 35, 3687-700. PubMed.

Mattson, J.T., Wang, T.H., de Chastelaine, M., & Rugg, M.D. (2014). Effects of age on negative subsequent memory effects associated with the encoding of item and item-context information. Cerebral Cortex, 24, 3322-33. PubMed..

Reuter-Lorenz, P.A., Park, D.C., (2014). How does it STAC Up? Revisiting the Scaffolding Theory of Aging and Cognition. Neuropsychology Review. 24(3) 355-370. PMCID: PMC4150993. PubMed

K.M. Kennedy, K.M. Rodrigue, G.M. Bischof, A.C. Hebrank, P.A. Reuter-Lorenz, & D.C. Park. (2014). Age trajectories of functional activation under conditions of low and high processing demands: An adult lifespan fMRI study of the aging brain. Neuroimage,13. PubMed.

Peng, S.-L., Dumas, J.A., Park, D.C., Liu, P., Filbey, F.M., McAdams, C.J., Pinkham, A.E., Adinoff, B., Zhang, R., & Lu, H. (2014). Age-related increase of resting metabolic rate in the human brain. Neuroimage. 98, 176-83. PubMed.

Thomas, B.P., Liu, P., Park, D.C., van Osch, M.J., Lu, H. (2014). Cerebrovascular reactivity in the brain white matter: magnitude, temporal characteristics, and age effects. Journal of Cerebral Blood Flow Metabolism. 34(2), 242-247. PMID: 24192640. PubMed.

Vilberg, K. L., Rugg, M. D. (2014). Temporal dissociations within the core recollection network. Cognitive Neuroscience, 5, 77-84. PubMed.

Wig, G.S., Laumann, T. O., Petersen, S.E. (2014). An approach for parcellating human cortical areas using resting-state correlations. Neuroimage. 93: 276-291.

Wig, G. S., Laumann, T. O., Cohen, A., Power, J. D., Nelson, S. M., Glasser, M. F., Miezin, F. S., Snyder, A. Z., Schlaggar, B. L., Petersen, S.E. (2014). Parcellating an individual subject’s cortical and subcortical structures using snowball sampling of resting-state correlations. Cerebral Cortex. 24: 2036-2054. PubMed.

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2013

Wong, J.X., de Chastelaine, M., & Rugg, M.D. (2013). Comparison of the neural correlates of encoding item-item and item-context associations. Frontiers in Human Neuroscience, 7, 436. PubMed.

Rugg, M.D. & Vilberg, K.L. (2013). Brain networks underlying episodic memory retrieval. Current Opinion in Neurobiology, 23, 255-60. PubMed.

Johnson, J.D., Suzuki, M., & Rugg, M.D. (2013). Recollection, familiarity, and context-sensitivity in lateral parietal cortex: a high-resolution fMRI study. Frontiers in Human Neuroscience, 7, 219. PubMed.

Rugg, M.D., Thompson-Schill, S.L. (2013). Moving Forward with fMRI Data. Perspectives on Psychological Science, 8, 84-7. PubMed.

Constantinidis, C., Bucci, D.J., & Rugg, M.D. (2013). Cognitive functions of the posterior parietal cortex. Frontiers in Integrative Neuroscience, 7, 35. PubMed.

Van Paasschen, J., Clare, L., Yuen, K.S.L., Woods, R.T., Evans, S.J., Parkinson, C.H., Rugg, M.D., & Linden, D.E.J. (2013). Cognitive rehabilitation changes memory-related brain activity in people with Alzheimer disease. Neurorehabilitation and Neural Repair, 27, 448-59. PubMed.

Whalley, M.G., Kroes, M.C.W., Huntley, Z., Rugg, M.D., Davis, S.W., & Brewin, C.R. (2013). An fMRI investigation of posttraumatic flashbacks. Brain and Cognition, 81, 151-9. PubMed.

Reuter-Lorenz, P.A., Park, D.C., (2014). How does it STAC Up? Revisiting the Scaffolding Theory of Aging and Cognition. Neuropsychology Review. 24(3) 355-370. PubMed.

Chan, M.Y., Park, D.C., Savalia, N.K., Peterson, S.E., Wig, G.S. (2014). Decreased segregation of brain systems across the healthy lifespan. Proceedings of the National Academy of Sciences, U.S.A. 111(46). PubMed.

K.M. Kennedy, K.M. Rodrigue, G.M. Bischof, A.C. Hebrank, P.A. Reuter-Lorenz, & D.C. Park. (2014). Age trajectories of functional activation under conditions of low and high processing demands: An adult lifespan fMRI study of the aging brain. Neuroimage,13. PubMed.

Peng, S.L., Dumas, J.A., Park, D.C., Liu, P., Filbey, F.M., McAdams, C.J., Pinkham, A.E., Adinoff, B., Zhang, R., & Lu, H. (2014). Age-related increase of resting metabolic rate in the human brain. Neuroimage. 98, 176-83. PubMed.

Thomas, B.P., Liu, P., Park, D.C., van Osch, M.J., Lu, H. (2014). Cerebrovascular reactivity in the brain white matter: magnitude, temporal characteristics, and age effects. Journal of Cerebral Blood Flow Metabolism. 34(2), 242-247. PMID: 24192640. PubMed.

Rodrigue, K.M. (2013). Contribution of Cerebrovascular Health to the Diagnosis of Alzheimer Disease. JAMA Neurology, 70(4),438-439. PubMed.

Liu, P., Hebrank, A. C., Rodrigue, K. M., Kennedy, K. M., Section, J., Park, D. C., Lu, H. (2013). Age-related differences in memory-encoding fMRI responses after accounting for decline in vascular reactivity. NeuroImage, 78, 415-425. PubMed.

Liu, P., Hebrank, A. C., Rodrigue, K. M., Kennedy, K. M., Park. D. C., & Lu, H. (2013). A comparison of physiologic modulators of fMRI signals. Human Brain Mapping, 34(9), 2078-2088. PubMed.

Raz, N., Schmiedek, F., Rodrigue, K. M., Kennedy, K. M., Lindenberger, U., & Lövdén, M. (2013). Differential Brain Shrinkage Over Six Months Shows Limited Association with Cognitive Practice. Brain and Cognition, 82, 171-180. PubMed.

Park, H., Kennedy, K. M., Rodrigue, K. M., Hebrank, A. C., & Park, D. C. (2013). An fMRI study of episodic encoding across the lifespan: Changes in subsequent memory effects are evident by middle-age. Neuropsychologia, 51, 448-456. PubMed.

Rodrigue, K. M., Rieck, J. R., Kennedy, K. M., Devous, M. D., Diaz-Arrastia, R., Park, D. C.(2013). Risk Factors for Amyloid Deposition in Healthy Aging: Interactive Effects of Vascular and Genetic Risk. JAMA Neurology, 70(5), 600-6. PubMed.

Rodrigue, K.M., Daughtery, A., Haacke, E. M., & Raz, N. (2013). The role of hippocampal iron concentration and hippocampal volume in age-related differences in memory.Cerebral Cortex, 23(7),1533-1541.

Nelson, S.M., McDermott, K., Wig, G.S., Schlaggar, B.L., Petersen. S.E. (2013). The critical roles of localization and physiology for understanding parietal contributions to memory retrieval. The Neuroscientist. PubMed.

Szpuner, K.K., St. Jacques, P.L., Robbins, C.A., Wig, G.S., Schacter, D.L. (2013). Repetition-related reductions in neural activity reveal component processes of mental simulation. Social Cognitive and Affective Neuroscience. PubMed.

Somerville, L.H., Wagner, D.D., Wig, G.S., Moran, J.M., Whalen, P.J., Kelley, W.M. (2013). Interactions between tonic and phasic neural signals support the generation and regulation of anxious emotion. Cerebral Cortex. 23(1): 49-60. PubMed.

Liu, P., Hebrank, A. C., Rodrigue, K. M., Kennedy, K. M., Section, J., Park, D. C., Lu, H. (2013). Age-related differences in memory-encoding fMRI responses after accounting for decline in vascular reactivity. NeuroImage, 78, 415-425. PubMed.

Liu, P., Hebrank, A. C., Rodrigue, K. M., Kennedy, K. M., Park. D. C., & Lu, H. (2013). A comparison of physiologic modulators of fMRI signals. Human Brain Mapping, 34(9), 2078-2088. PubMed.

Raz, N., Schmiedek, F., Rodrigue, K. M., Kennedy, K. M., Lindenberger, U., & Lövdén, M. (2013). Differential Brain Shrinkage Over Six Months Shows Limited Association with Cognitive Practice. Brain and Cognition, 82, 171-180. PubMed.

Park, H., Kennedy, K. M., Rodrigue, K. M., Hebrank, A. C., & Park, D. C. (2013). An fMRI study of episodic encoding across the lifespan: Changes in subsequent memory effects are evident by middle-age. Neuropsychologia, 51, 448-456. PubMed.

Nelson, S.M., McDermott, K., Wig, G.S., Schlaggar, B.L., Petersen. S.E. (2013). The critical roles of localization and physiology for understanding parietal contributions to memory retrieval. The Neuroscientist.

Park, D.C. (2013). Kudos and cautions for advances in cultural neuroscience: A response to Chiao et al. Psychological Inquiry. 24(1), 58-60.

Ballesteros, S., Bischof, G.N., Goh, J.O., & Park, D.C. (2013). Neural correlates of conceptual object priming in young and older adults: An event-related fMRI study. Neurobiology of Aging. 34(4), 1254-1264. PubMed.

Goh, J.O., Hebrank, A.C., Sutton, B.P., Chee, M.W., Sim, S.K., & Park, D.C. (2013). Culture-related differences in default network activity during visuo-spatial judgments. Social Cognitive and Affective Neuroscience. PubMed.

Park, H., Kennedy, K. M., Rodrigue, K. M., Hebrank, A., & Park, D. C. (2013). An fMRI study of episodic encoding across the lifespan: changes in subsequent memory effects are evident by middle-age. Neuropsychologia, 51(3), 448-456. PubMed.

Park, J., Park, D.C., & Polk, T.A. (2013). Parietal functional connectivity in numerical cognition. Cerebral Cortex, 50(1), 55-66. PubMed.

Park, D.C. & McDonough, I. (2013). The dynamic aging mind: Revelations from functional neuroimaging research. Perspectives in Psychological Science, 8, 62-67.

Liu, P., Hebrank, A.C., Rodrigue, K.M., Kennedy, K.M., Section, J., & Park, D.C., Lu, H. (2013). Age-related differences in memory-encoding fMRI responses after accounting for decline in vascular reactivity. NeuroImage. 78, 415-425. PubMed.

Rodrigue, K.M., Rieck, J.R., Kennedy, K.M., Devous, M.D., Diaz-Arrastia, R., & Park, D.C. (2013). Risk factors for beta-amyloid deposition in healthy aging: Vascular and genetic effects. JAMA: Archives of Neurology. 70(5), 600-606. PubMed.

Park, D.C., & Bischof, G.N. (2013). The aging mind: Neuroplasticity in response to cognitive training. Dialogues in Clinical Neuroscience.. PubMed.

Park, D.C., Lodi-Smith, J., Drew, L.M., Haber, S.H., Hebrank, A.C., Bischof, G.N., & Aamodt, W. (2013). The impact of sustained engagement on cognitive function in older adults: The Synapse Project. Psychological Science. 25(1), 103-112.. PubMed.

Park, D.C. (2013). Interdisciplinary and inter-institutional collaboration on research grants: Hard but fun! In Sternberg, R. et al., Building Successful Grant Proposals from the Top Down and Bottom Up. Washington, DC: Federation of Associations of Brain and Behavioral Sciences.

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2012

Vilberg, K.L. & Rugg, M.D. (2012). The neural correlates of recollection: transient versus sustained fMRI effects. Journal of Neuroscience, 42, 15679-87. PubMed.

Rugg, M.D., Vilberg, K.L., Mattson, J.T., Yu, S.S., Johnson, J.D., & Suzuki, M. (2012). Item memory, context memory and the hippocampus: fMRI evidence. Neuropsychologia, 50, 3070-9. PubMed.

Jaeger, A., & Rugg, M.D. (2012). Implicit effects of emotional contexts: An ERP study. Cognitive Affective and Behavioral Neuroscience, 12, 748-60. PubMed.

Gottlieb, L.J., Wong, J., de Chastelaine, M., & Rugg, M.D. (2012). Neural correlates of the encoding of multimodal contextual features. Learning & Memory, 19, 605-14. PubMed.

Morcom, A.M., & Rugg, M.D. (2012). Retrieval orientation and the control of recollection: an fMRI study. Journal of Cognitive Neuroscience, 24, 2372-84. PubMed.

Yu, S.S., Johnson, J.D., & Rugg, M.D. (2012). Dissociation of recollection-related neural activity in ventral lateral parietal cortex. Cognitive Neuroscience, 3, 142-9. PubMed.

Yu, S.S., Johnson, J.D., & Rugg, M.D. (2012). Hippocampal activity during recognition memory co-varies with the accuracy and confidence of source memory judgments. Hippocampus, 22, 1429-37. PubMed.

Hayama, H.R., Vilberg, K.L., & Rugg, M.D. (2012). Overlap between the neural correlates of cued recall and source memory: evidence for a generic recollection network? Journal of Cognitive Neuroscience, 24, 1127-37. PubMed.

Okada, K., Vilberg, K.L., & Rugg, M.D. (2012). Comparison of the neural correlates of retrieval success in tests of cued recall and recognition memory. Human Brain Mapping, 33, 523-33. PubMed.

Whalley, M.G., Rugg, M.D., and Brewin, C.R. (2012). Autobiographical memory in depression: An fMRI study. Psychiatry Research, 201, 98-106. PubMed.

Wang, T.H., de Chastelaine, M., Minton, B., & Rugg, M.D. (2012). Effects of age on the neural correlates of familiarity as indexed by ERPs. Journal of Cognitive Neuroscience, 24, 1055-68. PubMed.

Lövdén, M., Schmiedek, F., Kennedy, K. M., Rodrigue, K.M., Raz, N., & Lindenberger, U. (2012). Does Variability in Cognitive Performance Correlate with Frontal Brain Volume? NeuroImage, 64(1), 209-215. PubMed.

Kennedy, K. M., Rodrigue, K.M., Devous, M. D., Sr., Hebrank, A. C., Bischof, G. N., & Park, D. C. (2012). Beta-Amyloid Burden is Associated with Altered Functional Activation During Encoding Across the Adult Lifespan. NeuroImage, 62 (1), 1-8.

Park, J., Carp, J., Kennedy, K. M., Rodrigue, K. M., Bischof, G. N., Huang, C. M., Rieck, J. R., Polk, T., & Park, D. C. (2012). Neural broadening or neural attenuation? Age-related dedifferentiation in the face network in a large lifespan sample. Journal of Neuroscience, 32, 2154-2158. PubMed.

Rodrigue, K. M., Kennedy, K. M., Devous, M. D., Sr., Rieck, J. R., Hebrank, A. C., Diaz-Arrastia, R., Mathews, D., & Park, D. C. (2012). β-Amyloid Burden in Healthy Aging: Regional Distribution and Cognitive Consequences. Neurology, 78, 387-395. PubMed.

Raz, N., Yang, Y., Rodrigue, K. M., Kennedy, K. M., Lindenberger, U., & Ghisletta, P. (2012). White Matter Deterioration in 15 months: Latent Growth Curve Models in Healthy Adults. Neurobiology of Aging, 33(2), 429.e1–429.e5. PubMed.

Rodrigue, K. M., Kennedy, K. M., Devous, M. D., Sr., Rieck, J. R., Hebrank, A. C., Diaz-Arrastia, R., Mathews, D., & Park, D. C. (2012). β-Amyloid Deposition in Healthy Aging: Regional Deposition and Cognitive Consequences. Neurology, 78, 387-395.

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2011

Kroes, M.C.W., Whalley, M.G., Rugg, M.D., and Brewin, C.R. (2011). Association between flashbacks and structural brain abnormalities in posttraumatic stress disorder. European Psychiatry, 26, 8, 525-31. PubMed.

de Chastelaine, M., Wang, T.H., Minton, B., Muftuler, L.T., and Rugg, M.D. (2011). The effects of age, memory performance and callosal integrity on the neural correlates of successful associative encoding. Cerebral Cortex, 21, 2166-76. PubMed.

Gottlieb, L., and Rugg, M.D. (2011). Effects of modality on the neural correlates of encoding processes supporting recollection and familiarity. Learning & Memory, 18, 565-73. PubMed.

Park, H., and Rugg, M.D. (2011). Neural correlates of encoding within- and across-domain inter-item associations. Journal of Cognitive Neuroscience, 9, 2533-43. PubMed.

Suzuki, M., Johnson, J.D., and Rugg, M.D. (2011). Decrements in hippocampal activity with item repetition during continuous recognition: an fMRI study. Journal of Cognitive Neuroscience, 23, 1522-32. PubMed.

Suzuki, M., Johnson, J.D., and Rugg, M.D. (2011). Recollection-related hippocampal activity during continuous recognition: a high-resolution fMRI study. Hippocampus, 21, 575-83. PubMed.

Kroes, M.C., Rugg, M.D., Whalley, M.G., & Brewin, C.R. (2011). Structural brain abnormalities common to posttraumatic stress disorder and depression. Journal of Psychiatry and Neuroscience, 36, 256-65. PubMed.

Park, D.C. & Bischof, G.N. (2011). Neuroplasticity, aging, and cognitive function. In K.W. Schaie & S.L. Willis (Eds.), Handbook of the psychology of aging. San Diego, CA: Academic Press.

Carp, J., Park, J., Hebrank, A., Park, D.C., & Polk, T.A. (2011). Age-related neural dedifferentiation in the motor system. PloS one, 6: e29411. PMCID: PMC3245287. PubMed.

Huang, H., Prince, J.L., Mishra, V., Carass, A., Landman, B., Park, D.C.,Tamminga, C., King, R., Miller, M., van Zijl, P.C., & Mori, S. (2011). A framework on surface-based connectivity quantification for the human brain. Journal of Neuroscience Methods, 197(2), 324-32. PMCID: PMC3081907. PubMed.

Sperling, R.A., Aisen, P.S., Beckett, L.A., Bennett, D.A., Craft, S., Fagan, A.M., Iwatsubo, T., Jack, C.R., Kaye, J., Montine, T.J., Park, D.C., Reiman, E.M., Rowe, C.C., Siemers, E., Stern, Y. et al. (2011). Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s & Dementia: the Journal of the Alzheimer’s Association, 7: 280-92. PubMed.

Lodi-Smith, J., & Park, D.C. (2011). Synapse: A clinical trial examining the impact of actively engaging the aging mind. In P.E. Hartman-Stein and A. La Rue (Eds.), Enhancing cognitive fitness in adults: A guide to the use and development of community-based programs (pp. 67-83). New York, N.Y.: Springer.

Rodrigue, K. M. & Kennedy, K. M. (2011). The cognitive consequences of structural changes to the aging brain. In K. W. Schaie, S. L. Willis (Eds.) Handbook of the Psychology of Aging, 7th ed., Ch 5, 73-92, New York:Elsevier.

Shing, Y. L., Rodrigue, K. M., Kennedy, K. M., Fandakova, Y., Bodammer, N., Werkle-Bergner, M., Lindenberger, U., Raz, N. (2011). Hippocampal subfield volumes: Age, vascular risk, and correlation with associative memory. Frontiers in Aging Neuroscience, Feb 4;3:2. PubMed.

Lu, H., Xu, F., Rodrigue, K. M., Kennedy, K. M., Cheng, Y., Flicker, B., Hebrank, A. C., Uh, J., & Park, D. C. (2011). Alterations in cerebral metabolic rate and vascular function across the adult lifespan. Cerebral Cortex, 21, 1426-1434. PubMed.

Raz, N., Dahle, C. L., Rodrigue, K. M., Kennedy, K. M., & Land, S. (2011). Effects of age, genes, and pulse pressure on executive functions in healthy adults. Neurobiology of Aging, 32, 1124–1137. PubMed.

Rodrigue, K. M., Haacke, E. M., Raz, N. (2011). Differential effects of age and history of hypertension on regional brain volumes and iron. NeuroImage, 54(2), 750-759.

Functional Neuroimaging of Memory Laboratory – RUGG LAB


Led by Center Director Michael D. Rugg, this lab focuses on understanding the neural circuits that support the encoding and retrieval of memories, and how these circuits vary in their function across the adult lifespan. With funding from the National Institute of Mental Health and the National Institute on Aging, Rugg and his laboratory employ the methods of functional and structural MRI, electroencephalography and transcranial magnetic stimulation. The lab’s research addresses several of questions, including whether brain regions involved in successful retrieval differ in the time-courses of retrieval-related neural activity they manifest, and how neural activity linked to successful memory encoding varies with age. Rugg is editor-in-chief of the international journal Neuropsychologia, and was appointed in 2014 as a standing member of the Neurobiology of Learning and Memory Study Section of the National Institutes of Health. He is the former chair of the Cognition and Perception Study Section

Lifespan Neuroscience and Cognition Laboratory – BASAK LAB

Led by Chandramallika Basak, the Lifespan Neuroscience and Cognition Laboratory focuses on the interplay between attention and memory, and the effects of cognitive training, including video games and memory exercises, in young and older adults. In particular, she and her team are currently testing a new model of working memory that emphasizes the role of attentional control and long-term memory. The lab is also determining specific conditions under which the processing capacity can be expanded (e.g., probe predictability, illusory conjunctions and inter-hemispheric connections, hours of practice), while exploring the biomarkers and neural correlates of complex skill learning and working memory. The goal is to determine the best strategies to improve cognition through working memory or game training. In 2014, her lab received a Darrell K. Royal Research Fund for Alzheimer’s Disease award, a three year-grant totaling $165,000 to support research into mild cognitive impairment (MCI) and how acquiring skills with video games can be associated with improved cognitive performance. The funds extend her cognition work into new populations of older adults. Dr. Basak’s proposal was one of five research proposals recommended in Texas for the grant by an outside panel of peers led by Ronald C. Petersen, M.D., Ph.D., director of the Mayo Clinic’s Alzheimer’s Disease Research Center.

Neuroimaging of Aging and Cognition Laboratory – KENNEDY LAB


Led by Dr. Kristen Kennedy, the lab investigates how the structure and the function of the normal aging brain intersect to affect how we age cognitively. The lab also investigates genetic factors that influence these relationships with the aim of determining who ages with minimal cognitive decline versus those who have a more pathological outcome. The laboratory studies use neuroimaging techniques such as functional and structural MRI to investigate properties of grey matter (e.g., cortical thickness measures) and white matter (e.g., white matter connectivity) structure and brain function as well as neuropsychological and cognitive performance tests. The laboratory’s research is funded through a National Institute on Aging grant, and supplemented by foundation grants and private gifts.

Human Aging Laboratory – RODRIGUE LAB


Led by Dr. Karen Rodrigue, the Human Aging laboratory studies the role of vascular risk in neural and cognitive aging. She currently serves as the primary investigator for a National Institutes of Health Pathway to Independence grant awarded to top junior scientists in the United States. Her work also focuses on health factors such as hypertension and how high blood pressure can influence aging and the deposition of beta amyloid in the brain, a protein associated with the development of Alzheimer’s Disease. Supported by funding from UT Dallas, and the provision of the imaging agent florbetapir from Eli Lilly, Inc., her laboratory studies the relationship between brain iron accumulation and cognitive decline in older adult. Her lab is also investigating links to brain iron accumulation and the accumulation of beta amyloid. The Human Aging Laboratory uses a variety of methods to assess brain and cognitive aging, including structural and functional MRI and PET imaging. In 2014, Dr. Rodrigue was named a “Rising Star” by the American Psychological Society.

Cognitive Neuroimaging Laboratory – WIG LAB


Led by Dr. Gagan Wig, the Cognitive Neuroimaging Laboratory uses a combination of structural and functional brain imaging measurements to understand the organization of large-scale human brain connectivity networks, and determine how these networks change over the adult lifespan. The laboratory’s research program utilizes complex network science to further understand the brain basis of healthy and pathological aging. A number of inter-institutional research collaborations allow the researchers to focus on questions related to both aging and psychiatric disorders in large samples of participants (e.g., Alzheimer’s Disease and Major Depressive Disorder). A 2014 paper published by the group in the Proceedings of the National Academy of Sciences revealed novel observations related to how the brain operates on a network level, and of understanding the brain basis of individual differences in memory function among individuals aged 20 to 89. In addition to giving a number of invited lectures to both the general public and scientific audiences, Wig serves on the editorial board of the scientific journal NeuroImage. Dr. Wig joined the CVL in 2013 from Washington University in St. Louis, where he completed a post-doctoral fellowship working with the Human Connectome Project.