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Recent VLS Publications

 

Recent Articles and Chapters

 

-2019-2021-

 

Drouin, S., McFall, G.P., & Dixon, R.A. (in press). Subjective memory concerns, poor vascular health, and male sex predict exacerbated memory decline trajectories: An integrative data-driven class and prediction analysis. Neuropsychology. https://doi.org/10.1037/neu0000784

 

Sapkota, S., McFall, G.P., Dixon, R.A., Masellis, M., & Black, S.E. (in press). Differential cognitive decline in Alzheimer’s disease is predicted by changes in ventricular size but moderated by APOE and pulse pressure. Journal of Alzheimer's Disease.

 

Anstey, K.J., & Dixon, R.A. (2021). Resilience in midlife and aging. In K.W. Schaie & S.L. Willis (Eds.), Handbook of the psychology of aging (9th ed., pp. 287-300). Amsterdam: Elsevier. https://doi.org/10.1016/B978-0-12-816094-7.00023-4

 

Anstey, K.J., Peters, R., Mortby, M., Kiely, K.M., Eramudugolla, R., Cherbuin, N., Huque, H., & Dixon, R.A. (2021). Association of sex differences in dementia risk factors with sex differences in memory decline in a population-based cohort spanning 20-76 years. Scientific Reports, 11, Article 7710. https://doi.org/10.1038/s41598-021-86397-7

 

Bohn, L., Zheng, Y., McFall, G.P., & Dixon, R.A. (2021). Portals to frailty? Data-driven analyses detect early frailty profiles. Alzheimer's Research & Therapy, 13, Article 1. https://doi.org/10.1186/s13195-020-00736-w

 

Buzatto, A.Z., Tatlay, J., Bajwa, B., Mung, D., Camicioli, R., Dixon, R.A., & Li, L. (2021). Comprehensive serum lipidomics for detecting incipient dementia in Parkinson's disease. Journal of Proteome Research, 20(8), 4053-4067. https://doi.org/10.1021/acs.jproteome.1c00374

 

Caballero, H.S., McFall, G.P., Wiebe, S., & Dixon, R.A. (2021). Integrating three characteristics of executive function in non-demented aging: Trajectories, classification, and biomarker predictors. Journal of the International Neuropsychological Society, 27(2), 158-171. https://doi.org/10.1017/S1355617720000703

 

Caballero, H.S., McFall, G.P., Zheng, Y., & Dixon, R.A. (2021). Data-driven approaches to executive function performance and structure in aging: Integrating person-centered analyses and machine learning risk prediction. Neuropsychology, 35(8), 889-903. https://doi.org/10.1037/neu0000775

 

Dixon, R.A., & Bellec, P. (2021). CCNA/CCNV Team 9 Bulletin: Biomarkers of aging and neurodegeneration (Issue 1, June). Edmonton/Montréal: Canadian Consortium on Neurodegeneration in Aging (In Partnership with Alberta Innovates and Canadian Institutes of Health Research).

 

Sapkota, S., McFall, G.P., Masellis, M., & Dixon, R.A. (2021). A multimodal risk network predicts executive function trajectories in non-demented aging. Frontiers in Aging Neuroscience, 13, Article 621023. https://doi.org/10.3389/fnagi.2021.621023

 

Anstey, K.J., Peters, R., Zheng, L., Barnes, D.E., Brayne, C., Brodaty, H., Chalmers, J., Clare, L., Dixon, R.A., Dodge, H., Lautenschlager, N., Middleton, L., Qiu, C., Rees, G., Sahar, S., & Yaffe, K. (2020). Future directions for dementia and prevention research: An International Research Network on Dementia Prevention consensus. Journal of Alzheimer's Disease, 78(1), 3-12. https://doi.org/10.3233/JAD-200674

 

Badhwar, A., McFall, G.P., Sapkota, S., Black, S., Chertkow, H., Duchesne, S., Masellis, M., Li, L., Dixon, R.A., & Bellec, P. (2020). A multiomics approach to heterogeneity in Alzheimer's disease: Focused review and roadmap. Brain, 143(5), 1315-1331. https://doi.org/10.1093/brain/awz384

 

Bohn, L., McFall, G.P., Wiebe, S.A., & Dixon, R.A. (2020). Body mass index predicts cognitive aging trajectories selectively for females: Evidence from the Victoria Longitudinal Study. Neuropsychology, 34(4), 388-403. https://doi.org/10.1037/neu0000617

 

Dixon, R.A., & Bellec, P. (2020). CCNA/CCNV Team 9 Bulletin: Biomarkers of aging and neurodegeneration (Issue 1, May). Edmonton/Montréal: Canadian Consortium on Neurodegeneration in Aging (In Partnership with Alberta Innovates and Canadian Institutes of Health Research).

 

Dixon, R.A., & Bellec, P. (2020). CCNA/CCNV Team 9 Bulletin: Biomarkers of aging and neurodegeneration (Issue 2, December). Edmonton/Montréal: Canadian Consortium on Neurodegeneration in Aging (In Partnership with Alberta Innovates and Canadian Institutes of Health Research).

 

Drouin, S.M., McFall, G.P., & Dixon, R.A. (2020). In multiple facets of Subjective Memory Decline sex moderates memory predictions. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 12(1), e12089. https://doi.org/10.1002/dad2.12089

 

Katsumi, Y., Dolcos, S., Dixon, R.A., Fabiani, M., Stine-Morrow, E.A.L., & Dolcos, F. (2020). Immediate and long-term effects of emotional suppression in aging: A functional magnetic resonance imaging investigation. Psychology and Aging, 35(5), 676-696. https://doi.org/10.1037/pag0000437

 

Peters, R., Yasar, S., Anderson, C., Andrews, S.J., ... Dixon, R.A., ... McFall, G.P., ... & Anstey, K.J. (2020). Investigation of antihypertensive class, dementia, and cognitive decline: A meta-analysis. Neurology, 94(3), e267-e281. https://doi.org/10.1212/WNL.0000000000008732

 

Andrews, S.J., McFall, G.P., Booth, A., Dixon, R.A., & Anstey, K.J. (2019). Association of Alzheimer's disease genetic risk loci with cognitive performance and decline: A systematic review. Journal of Alzheimer's Disease, 69, 1109-1136. https://doi.org/10.3233/JAD-190342

 

Andrews, S.J., McFall, G.P., Dixon, R.A., & Anstey, K.J. (2019). Alzheimer's environmental and genetic risk scores are differentially associated with general cognitive ability and dementia severity. Alzheimer Disease & Associated Disorders, 33, 95-103. https://doi.org/10.1097/WAD.0000000000000292

 

Burton, R.L., Lek, I., Dixon, R.A., & Caplan, J.B. (2019). Associative interference in older and younger adults. Psychology and Aging, 34(4), 558-571. https://doi.org/10.1037/pag0000361

 

Chertkow, H., Borrie, M., Whitehead, V., Black, S.E., Feldman, H.H., Gauthier, S., Hogan, D.B., Masellis, M., McGilton, K., Rockwood, K., Tierney, M.C., Andrew, M., Hsiung, G.-Y.R., Camicioli, R., Smith, E.E., Fogarty, J., Lindsay, J., Best, S., Evans, E., Das, S., Mohaddes, Z., Pilon, R., Poirier, J., Phillips, N.A., MacNamara, E., Dixon, R.A., Duchesne, S., MacKenzie, I., & Rylett, R.J. (2019). The Comprehensive Assessment of Neurodegeneration and Dementia: Canadian Cohort Study. The Canadian Journal of Neurological Sciences, 46(5), 499-511. https://doi.org/ 10.1017/cjn.2019.27

 

Dixon, R.A., & Lachman, M.E. (2019). Risk and protective factors in cognitive aging: Advances in assessment, prevention, and promotion of alternative pathways. In G.R. Samanez-Larkin (Ed.), The aging brain: Functional adaptation across adulthood (pp. 217-263). Washington, DC: APA Books. https://doi.org/10.1037/0000143-009

 

Hertzog, C., McFall, G.P., Small, B.J., & Dixon, R.A. (2019). Age, cohort, and period effects on metamemory beliefs. Psychology and Aging, 34(8), 1077-1089. https://doi.org/10.1037/pag0000384

 

McFall, G.P., Bäckman, L., & Dixon, R.A. (2019). Nuances in Alzheimer's genetic risk reveal differential predictions of non-demented memory aging trajectories: Selective patterns by APOE genotype and sex. Current Alzheimer Research, 16(4), 302-315. https://doi.org/10.2174/1567205016666190315094452

 

McFall, G.P., McDermott, K.L., & Dixon, R.A. (2019). Modifiable risk factors discriminate memory trajectories in non-demented aging: Precision factors and targets for promoting healthier brain aging and preventing dementia? Journal of Alzheimer's Disease, 70, S101-S118. https://doi.org/10.3233/JAD-180571

 

Thibeau, S., McDermott, K.L., McFall, G.P., Rockwood, K., & Dixon, R.A. (2019). Frailty effects on non-demented cognitive trajectories are moderated by sex and Alzheimer's genetic risk. Alzheimer's Research & Therapy, 11, 55. https://doi.org/10.1186/s13195-019-0509-9

 

Thibeau, S., McFall, G.P., Camicioli, R., & Dixon, R.A. (2019). Physical activity and mobility differentially predict non-demented executive function trajectories: Do sex and APOE moderate these associations? Gerontology, 65, 640-648. https://doi.org/10.1159/000496442

 

-2018-

 

Dixon, R.A., & Bellec, P. (2018). BioTric/BioEcir CCNA Biomarkers Bulletin (Issue 2, pp. 1-4). Canadian Consortium on Neurodegeneration in Aging.

 

Huan, T., Tran, T., Zheng, J., Sapkota, S., Camicioli, R., Dixon, R.A., & Li, L. (2018). Metabolomics analyses of saliva detect novel biomarkers of Alzheimer's disease. Journal of Alzheimer's Disease, 65(4), 1401-1416. https://doi.org/10.3233/JAD-180711

 

MacDonald, S.W.S., Keller, C.J.C., Brewster, P.W.H., & Dixon, R.A. (2018). Contrasting olfaction, vision, and audition as predictors of cognitive change and impairment in non-demented older adults. Neuropsychology, 32(4), 450-460. https://doi.org/10.1037/neu0000439

 

Sapkota, S., & Dixon, R.A. (2018). A network of genetic effects on non-demented cognitive aging: Alzheimer’s genetic risk (CLU + CR1 + PICALM) intensifies cognitive aging genetic risk (COMT + BDNF) selectively for APOE ε4 carriers. Journal of Alzheimer's Disease, 62(2), 887-900. https://doi.org/10.3233/JAD-170909

 

Sapkota, S., Huan, T., Tran, T., Zheng, J., Camicioli, R., Li, L., & Dixon, R.A. (2018). Alzheimer's biomarkers from multiple modalities selectively discriminate clinical status: Relative importance of salivary metabolomics panels, genetic, lifestyle, cognitive, functional health, and demographic risk markers. Frontiers in Aging Neuroscience, 10, 296. https://doi.org/10.3389/fnagi.2018.00296

 

-2017-

 

Han, W., Sapkota, S., Camicioli, R., Dixon, R.A., & Li, L. (2017). Profiling novel metabolic biomarkers for Parkinson’s disease using in-depth metabolomic analysis. Movement Disorders, 32(12), 1720-1728. https://doi.org/10.1002/mds.27173

 

Harris, C., Barnier, A.J., Sutton, J., Keil, P.G., & Dixon, R.A. (2017). Going episodic: Collaborative inhibition and facilitation when long-married couples remember together. Memory, 25(8), 1148-1159. https://doi.org/10.1080/09658211.2016.1274405

 

MacDonald, S.W.S., Hundza, S., Love, J., Decarlo, C.A., Halliday, D.W., Brewster, P.W., Lukyn, T.V., Camicioli, R., & Dixon, R.A. (2017). Concurrent indicators of gait velocity and variability are associated with 25-year cognitive change: A retrospective longitudinal investigation. Frontiers in Aging Neuroscience, 9, 17. https://doi.org/10.3389/fnagi.2017.00017

 

McDermott, K., McFall, G.P., Andrews, S.J., Anstey, K.J., & Dixon, R.A. (2017). Memory resilience to Alzheimer's genetic risk: Sex effects in predictor profiles. Journal of Gerontology: Psychological Sciences, 72(6), 937-946. https://doi.org/10.1093/geronb/gbw161

 

McFall, G.P., Sapkota, S., Thibeau, S., & Dixon, R.A. (2017). Trajectories and modifiers of executive function: Normal aging to neurodegenerative disease. In S.A. Wiebe & J. Karbach (Eds.), Executive function: Development across the life span (pp. 263-277). Oxford, UK: Taylor & Francis.

 

Sapkota, S., Bäckman, L., & Dixon, R.A. (2017). Executive function performance and change in aging is predicted by apolipoprotein E, intensified by catechol-O-methyltransferase and brain-derived neurotrophic factor, and moderated by age and lifestyle. Neurobiology of Aging, 52, 81-89. https://doi.org/10.1016/j.neurobiolaging.2016.12.022

 

Thibeau, S., McFall, G.P., Camicioli, R., & Dixon, R.A. (2017). Alzheimer's disease biomarkers interactively influence physical activity, mobility, and cognition associations in a non-demented aging population. Journal of Alzheimer's Disease, 60(1), 69-86. https://doi.org/10.3233/JAD-170130

 

-2016-

 

Brown, C.L., Robitaille, A., Zelinski, E.M., Dixon, R.A., Hofer, S.M., & Piccinin, A. (2016). Cognitive activity mediates the association between social activity and cognitive performance: A longitudinal study. Psychology and Aging, 31(8), 831-846. https://doi.org/10.1037/pag000134.

 

DeCarlo, C.A., MacDonald, S.W.S., Vergote, D., Jhamandas, J., Westaway, D., & Dixon, R.A.  (2016). Vascular health, genetic risk and Mild Cognitive Impairment status and four-year stability: Evidence from the Victoria Longitudinal Study. Journal of Gerontology: Psychological Sciences, 71(6), 1004-1014. https://doi.org/10.1093/geronb/gbv043

 

McFall, G.P., Sapkota, S., McDermott, K.L., & Dixon, R.A. (2016). Risk-reducing apolipoprotein E and clusterin genotypes protect against the consequences of poor vascular health on executive function performance and change in non-demented older adults. Neurobiology of Aging, 42, 91-100. https://doi.org/10.1016/j.neurobiolaging.2016.02.032

 

Sapkota, S., Wiebe, S.A., Small, B.J., & Dixon, R.A. (2016). Apolipoprotein E and clusterin can magnify effects of personality vulnerability on declarative memory performance in non-demented older adults. International Journal of Geriatric Psychiatry, 31(5), 502-509. https://doi.org/10.1002/gps.4355

 

Thibeau, S., McFall, G.P., Wiebe, S.A., Anstey, K.J., & Dixon, R.A. (2016). Genetic factors moderate everyday physical activity effects on executive function in aging: Evidence from the Victoria Longitudinal Study. Neuropsychology, 30(1), 6-17. https://doi.org/10.1037/neu0000217

 

-2015-

 

Anstey, K.J., Eramudugolla, R., Hosking, D.E., Lautenschlager, N.T., & Dixon, R.A. (2015). Bridging the translation gap: From dementia risk assessment to advice on risk reduction. The Journal of Prevention of Alzheimer's Disease, 2(3), 189-198. https://doi.org/10.14283/jpad.2015.75

 

Caplan, J., Bottomley, M., Kang, P., & Dixon, R.A. (2015). Distinguishing rhythmic from non-rhythmic brain activity during rest in healthy neurocognitive aging. NeuroImage, 122, 341-352. https://doi.org/10.1016/j.neuroimage.2015.03.001

 

Martin, S., Mazzocco, C., Grosselin, A., Van der Elst, W., Dixon, R.A., Stephan, Y., Brouillet, D., & Maury, P. (2015). Compensating for memory losses throughout adulthood: Validation and normalization of the Memory Compensation Questionnaire for non-clinical French populations. Archives of Gerontology and Geriatrics, 60, 28-38. https://doi.org/10.1016/j.archger.2014.10.013

 

McFall, G.P., Wiebe, S.A., Vergote, D., Anstey, K.J., & Dixon, R.A. (2015). Alzheimer’s genetic risk intensifies neurocognitive slowing associated with diabetes in non-demented older adults. Alzheimer's & Dementia: Diagnosis, Assessment, & Disease Monitoring, 1(4), 395-402. https://doi.org/10.1016/j.dadm.2015.08.002

 

McFall, G.P., Wiebe, S.A., Vergote, D., Westaway, D., Jhamandas, J., Bäckman, L., & Dixon, R.A. (2015). ApoE and pulse pressure interactively influence level and change in the aging of episodic memory: Protective effects among ε2 carriers. Neuropsychology, 29(3), 388-401. https://doi.org/10.1037/neu0000150

 

Sapkota, S., Vergote, D., Westaway, D., Jhamandas, J., & Dixon, R.A. (2015). Synergistic associations of COMT and BDNF with executive function in aging are selective and modified by APOE. Neurobiology of Aging, 36(1), 249-256. https://doi.org/10.1016/j.neurobiolaging.2014.06.020

 

-2014-

 

Anstey, K.J., & Dixon, R.A. (2014). Applying a cumulative deficit model of frailty to dementia: Progress and future challenges. Alzheimer's Research & Therapy, 6(9), 84. https://doi.org/10.1186/s13195-014-0084-z

 

Anstey, K.J., Eramudugolla, R., & Dixon, R.A. (2014). Contributions of a risk assessment approach to the prevention of Alzheimer's disease and dementia. Journal of Alzheimer's Disease, 42, S463-S473. https://doi.org/10.3233/JAD-141248

 

DeCarlo, C.A., Tuokko, H.A., Williams, D., Dixon, R.A., & MacDonald, S.W.S. (2014). BioAge: Toward a multi-determined, mechanistic account of cognitive aging. Ageing Research Reviews, 18, 95-105. https://doi.org/10.1016/j.arr.2014.09.003

 

de Frias, C.M., & Dixon, R.A. (2014). Lifestyle engagement affects cognitive status differences and trajectories on executive functions in older adults. Archives of Clinical Neuropsychology, 29(1), 16-25. https://doi.org/10.1093/arclin/act089

 

Dixon, R.A., DeCarlo, C.A., MacDonald, S.W.S., Vergote, D., Jhamandas, J., & Westaway, D. (2014). APOE and COMT polymorphisms are complementary biomarkers of status, stability, and transitions in normal aging and early mild cognitive impairment. Frontiers in Aging Neuroscience, 6, Article 236. https://doi.org/10.3389/fnagi.2014.00236

 

Dixon, R.A., & de Frias, C.M. (2014). Cognitively elite, cognitively normal, and cognitively impaired aging: Neurocognitive status and stability moderate memory performance. Journal of Clinical and Experimental Neuropsychology, 36(4), 418-430. https://doi.org/10.1080/13803395.2014.903901

 

Dolcos, S., Katsumi, Y., & Dixon, R.A. (2014). The role of arousal in the spontaneous regulation of emotions in healthy aging: An fMRI investigation. Frontiers in Psychology: Emotion Science, 5(681), 1-12. https://doi.org/10.3389/fpsyg.2014.00681

 

McFall, G.P., Wiebe, S.A., Vergote, D., Jhamandas, J., Westaway, D., & Dixon, R.A. (2014). IDE (rs6583817) polymorphism and pulse pressure are independently and interactively associated with level and change in executive function in older adults. Psychology and Aging, 29(2), 418-430. https://doi.org/10.1037/a0034656

 

Runge, S.K., Small, B.J., McFall, G.P., & Dixon R.A. (2014). APOE moderates the association between lifestyle activities and cognitive performance: Evidence of genetic plasticity in aging. Journal of the International Neuropsychological Society, 20(5), 478-486. https://doi.org/10.1093/geronb/gbq093

 

-2013-

 

Dixon, R.A. (2013). Collaborative memory research in aging: Perspectives on application. Journal of Applied Research in Memory and Cognition, 2(2), 128-130. https://doi.org/10.1016/j.jarmac.2013.05.001

 

Dixon, R.A., McFall, G.P., Whitehead, B.P., & Dolcos, S. (2013). Cognitive development in adulthood and aging. In R.M. Lerner, M.A. Easterbrooks, & J. Mistry (Eds.), Handbook of psychology: Vol. 6 Developmental psychology (2nd ed.; pp. 451-474). Editor-in-chief: I.B. Weiner. Hoboken, NJ: Wiley.

 

McFall, G.P., Wiebe, S.A., Vergote, D., Westaway, D., Jhamandas, J., & Dixon, R.A. (2013). IDE (rs6583817) polymorphism and Type 2 diabetes differentially modify executive function in older adults. Neurobiology of Aging, 34, 2208-2216. https://doi.org/10.1016/j.neurobiolaging.2013.03.010

 

-2012-

 

Brown, C.L., Gibbons, L.E., Kennison, R.F., Robitaille, A., Lindwall, M., Mitchell, M.B., Shirk, S.D., Atri, A., Cimino, C.R., Benitez, A., MacDonald, S.W.S., Zelinski, E.M., Willis, S.L., Schaie, K.W., Johansson, B., Dixon, R.A., Mungas, D.M., Hofer, S.M., & Piccinin, A.M. (2012). Social activity and cognitive functioning over time: A coordinated analysis of four longitudinal studies. Journal of Aging Research, 2012, Article 287438. https://doi.org/10.1155/2012/287438

 

de Frias, C.M., Dixon, R.A., & Camicioli, R. (2012). Neurocognitive speed and inconsistency in Parkinson's disease with and without incipient dementia: An 18-month longitudinal study. Journal of the International Neuropsychological Society, 18, 764-772. https://doi.org/10.1017/S1355617712000422

 

Dixon, R.A., Small, B.J., MacDonald, S.W.S., & McArdle, J.J. (2012). Yes, memory declines with aging--but when, how, and why? In M. Naveh-Benjamin & N. Ohta (Eds.), Memory and Aging (pp. 325-347). New York: Psychology Press.

 

Dolcos, S., MacDonald, S.W.S., Braslavsky, A., Camicioli, R., & Dixon, R.A. (2012). Mild cognitive impairment is associated with selected functional markers: Integrating concurrent, longitudinal, and stability effects. Neuropsychology, 26, 209-223. https://doi.org/10.1037/a0026760

 

Lindwall, M., Cimino, C.R., Gibbons, L.E., Mitchell, M.B., Benitez, A., Brown, C.L., Kennison, R.F., Shirk, S.D., Atri, A., Robitaille, A., MacDonald, S.W.S., Zelinski, E.M., Willis, S.L., Schaie, K.W., Johansson, B., Praetorius, M., Dixon, R.A., Mungas, D.M., Hofer, S.M., Piccinin, A.M. (2012). Dynamic associations of change in physical activity and change in cognitive function: Coordinated analyses of four longitudinal studies. Journal of Aging Research, 2012, Article 493598. https://doi.org/10.1155/2012/493598

 

Mitchell, M.B., Cimino, C.R., Benitez, A., Brown, C.L., Gibbons, L.E., Kennison, R.F., Shirk, S.D., Atri, A., Robitaille, A., MacDonald, S.W.S., Lindwall, M., Zelinski, E.M., Willis, S.L., Schaie, K.W., Johansson, B., Dixon, R.A., Mungas, D.M., Hofer, S.M., & Piccinin, A.M. (2012). Cognitively stimulating activities: Effects on cognition across four studies with up to 21 years of longitudinal data. Journal of Aging Research, 2012, Article 461592. https://doi.org/10.1155/2012/461592

 

Seaquist, E.R., Latteman, D.F., & Dixon, R.A. (2012). Diabetes and the brain. Diabetes, 61, 3056-3062. https://doi.org/10.2337/db12-0489

 

Small, B.J., Dixon, R.A., McArdle, J.J., & Grimm, K.J. (2012). Do changes in lifestyle engagement moderate cognitive decline in normal aging? Evidence from the Victoria Longitudinal Study. Neuropsychology, 26, 144-155. https://doi.org/10.1037/a0026579

 

Zheng, J., Dixon, R.A., & Li, L. (2012). Development of isotope labeling LC-MS for human salivary metabolomics and application to profiling metabolome changes associated with mild cognitive impairment. Analytical Chemistry, 84, 10802-10811. https://doi.org/10.1021/ac3028307

 

-2011-

 

Dixon, R.A. (2011). Enduring theoretical themes in psychological aging: Derivation, functions, perspectives, and opportunities. In K.W. Schaie & S.L. Willis (Eds.), Handbook of the psychology of aging (7th ed.; pp. 3-23). San Diego, CA: Academic Press.

 

Dixon, R.A. (2011). Evaluating everyday competence in older adult couples: Epidemiological considerations. Gerontology, 57, 173-179. https://doi.org/10.1159/000320325

 

Dolcos, S., Sung, K., Denkova, E., Dixon, R.A., & Dolcos, F. (2011). Brain imaging investigation of the neural correlates of emotion regulation. Journal of Visualized Experiments, 54, e2430. https://doi.org/10.3791/2430

 

MacDonald, S.W.S., DeCarlo, C.A., & Dixon, R.A. (2011). Linking biological and cognitive aging: Towards improving characterizations of developmental time. Journal of Gerontology: Psychological Sciences, 66B, i59-i70. https://doi.org/10.1093/geronb/gbr039

 

MacDonald, S.W.S., Hultsch, D.F., & Dixon, R.A. (2011). Aging and the shape of cognitive change before death: Terminal decline or terminal drop? Journal of Gerontology: Psychological Sciences, 66B, 292-301. https://doi.org/10.1093/geronb/gbr001

 

Small, B.J., Dixon, R.A., & McArdle, J.J. (2011). Tracking differences in cognition-health changes from 55 to 95 years of age: Findings from the Victoria Longitudinal Study. Journal of Gerontology: Psychological Sciences, 66B, i153-i161. https://doi.org/10.1093/geronb/gbq093

 

Van der Elst, W., Hoogenhout, E.M., Dixon, R.A., De Groot, R.H.M., & Jolles, J. (2011). The Dutch Memory Compensation Questionnaire: Psychometric properties and regression-based norms. Assessment, 18, 517-529. https://doi.org/10.1177/1073191110370116

 

Whitehead, B.P., Dixon, R.A., Hultsch, D.F., & MacDonald, S.W.S. (2011). Are neurocognitive speed and inconsistency similarly affected in Type 2 diabetes? Journal of Clinical and Experimental Neuropsychology, 33, 647-657. https://doi.org/10.1080/13803395.2010.547845

 

Zahodne, L.B., Glymour, M.M., Sparks, C., Bontempo, D., Dixon, R.A., MacDonald, S.W.S., & Manly, J.J. (2011). Education does not slow cognitive decline with aging: 12-year evidence from the Victoria Longitudinal Study. Journal of the International Neuropsychological Society, 17, 1039-1046. https://doi.org/10.1017/S1355617711001044

 

-2010-

 

Dixon, R.A. (2010). An epidemiological approach to cognitive health in aging. In L. Bäckman & L. Nyberg (Eds.), Memory, aging, and the brain (pp. 144-166). London: Psychology Press.

 

McFall, G.P., Geall, B.P., Fischer, A.L., Dolcos, S., & Dixon, R.A. (2010). Testing covariates of Type 2 diabetes-cognition associations in older adults: Moderating or mediating effects? Neuropsychology, 24, 547-562. https://doi.org/10.1037/a0019246

 

-2009-

 

de Frias, C.M., Dixon, R.A., & Strauss, E. (2009). Characterizing executive functioning in older special populations: From cognitively elite to cognitively impaired. Neuropsychology, 23(6), 778-791. https://doi.org/10.1037/a0016743

 

Dixon, R.A., & de Frias, C.M. (2009). Long-term stability and variability in memory compensation among older adults: Evidence from the Victoria Longitudinal Study. Acta Psychologica Sinica, 41, 1091-1101. https://doi.org/10.3724/SP.J.1041.2009.01091

 

Fischer, A.L., de Frias, C.M., Yeung, S.E., & Dixon, R.A. (2009). Short-term longitudinal trends in cognitive performance in older adults with Type 2 diabetes. Journal of Clinical and Experimental Neuropsychology, 31, 809-822. https://doi.org/10.1080/13803390802537636

 

Hultsch, D.F., Bielak, A.A.M., Crow, C.B., & Dixon, R.A. (2009). The way we were: Perceptions of past memory change in older adults. In H.B. Bosworth & C. Hertzog (Eds.), Cognition in aging: Methodologies and applications (pp. 197-216). Washington, DC: American Psychological Association.

 

McFall, G.P., Geall, B., & Dixon, R.A. (2009). Is Type 2 diabetes associated with cognitive deficits in older adults? AAGMag, 26(2), 12-15.

 

Yeung, S.E., Fischer, A.L., & Dixon, R.A. (2009). Exploring effects of Type 2 diabetes on cognitive functioning in older adults. Neuropsychology, 23, 1-9. https://doi.org/10.1037/a0013849

 

-2008-

 

Dixon, R.A., Garrett, D.D., & Bäckman, L. (2008). Principles of compensation in cognitive neuroscience and neurorehabilitation. In D.T. Stuss, G. Winocur, & I.H. Robertson (Eds.), Cognitive neurorehabilitation (2nd ed.; pp. 22-38). Cambridge: Cambridge University Press.

 

Gagnon, L.M., & Dixon, R.A. (2008). Remembering and retelling stories in individual and collaborative contexts. Applied Cognitive Psychology, 22, 1275-1297. https://doi.org/10.1002/acp.1437

 

MacDonald, S.W.S., Hultsch, D.F., & Dixon, R.A. (2008). Predicting impending death: Inconsistency in speed is a selective and early marker. Psychology and Aging, 23, 595-607. https://doi.org/10.1037/0882-7974.23.3.595

 

Mansueti, L., de Frias, C.M., Bub, D., & Dixon, R.A. (2008). Exploring cognitive effects of self-reported mild stroke in older adults: Selective but robust effects on story memory. Aging, Neuropsychology, and Cognition, 15, 545-573. https://doi.org/10.1080/13825580701858216

 

Technical Reports

 

Dixon, R.A., Hertzog, C., & Hultsch, D.F. (2008). Metamemory in Adulthood (MIA) questionnaire. Technical Report (pp. 1-30).  Edmonton, Canada: University of Alberta, Department of Psychology.

 

Dixon, R.A., & Bäckman, L. (2007). Memory Compensation Questionnaire (MCQ). Technical Report (pp. 1-16).  Edmonton, Canada: University of Alberta, Department of Psychology.

 

Dixon, R.A., Hultsch, D.F., & Hertzog, C. (2007). Story recall: Measuring complex episodic memory in aging. Technical Report (pp. 1-58). Edmonton, Canada: University of Alberta, Department of Psychology.

 

Dixon, R.A., Hultsch, D.F., & Hertzog, C. (2007). VLS Personal Data Sheet (PDS). Technical Report (pp. 1-35).  Edmonton, Canada: University of Alberta, Department of Psychology.

 

Dixon, R.A., Hultsch, D.F., & Hertzog, C. (2006). VLS Activity Lifestyle Questionnaire (VLS-ALQ). Technical Report (pp. 1-23).  Edmonton, Canada: University of Alberta, Department of Psychology.

 

Dixon, R.A., Hultsch, D.F., & Hertzog, C. (2006). VLS memory exercises: Word lists. Technical Report (pp. 1-14).  Edmonton, Canada: University of Alberta, Department of Psychology.

Selected Current Research Projects and Interests

 

Much research in the VLS is conducted with teams of collaborators. The teams include students (undergraduate, graduate), post-doctoral associates, and researchers from Canada and other countries. Some topics of current interest are listed below. For information about VLS research and any of these projects, please contact the VLS office (vlslab@ualberta.ca).

 

Longitudinal and Epidemiological Studies in Aging

 

  • Predictors of Healthy and Successful Cognition in Aging
  • Trajectories and Modifiers of Normal Cognitive Aging
  • Precursors and Early Markers of Mild Cognition Impariment (MCI)
  • Protective Factors (e.g., Lifestyle Activities) Normal Aging, MCI, and Alzheimer's Disease
  • Risk Factors (e.g., Biomarkers) in Normal Aging, MCI and Alzheimer's Disease
  • Structure, Latent Change, and Individual Trajectories in Memory Aging
  • Practice and Attrition Effects in Longitudinal Models
  • Dynamic and Latent Change Models in Cognitive Aging

 

Cognitive Neuroscience/Neuropsychology and Aging

 

  • Neurocognitive Speed and Inconsistency in MCI, Alzheimer's, and Parkinson's Disease
  • Memory Compensation in Healthy Aging, MCI, and Alzheimer's Disease
  • Structure and Change of Neuropsychological Indicators in Special Populations
  • Detecting Mild Cognitive Impairment and Preclinical Transitions
  • Identifying Early Biological (Metabolites, Genetic) Markers of Neurogenerative Disease
  • Mild Stroke, Memory, and Cognition
  • Extecutive Functions in Aging Populations
  • Affect, Emotion, and Neurocognitive Aging

 

Biological and Health Factors

 

  • Type 2 Diabetes and Cognitive Neuropsychological Aging
  • Genetic and Epigenetic Correlates of Cognitive Aging, MCI and Alzheimer's Disease
  • Role of "Biological Age" in Cognitive Aging
  • Characteristics and Predictors of Mortality and Terminal Decline
  • Sensory Status (Vision, Audition, Smell) and Cognition
  • Subjective/Objective/Functional Health and Cognitive Change

 

Psychosocial, Lifestyle, and Environmental Aspects

 

  • Emotion-Cognition Relationships in Aging
  • Lifestyle Influences (Cognitive Activities, Social Engagement, Physical Activities)
  • Personality Structure, Change, and Cognitive Correlates
  • Depression in Normal Aging, MCI, and Alzheimer's Disease
  • Well-being: Structural and Longitudinal Studies
  • Dynamic Interactions Among Lifestyle, Health, Cognition

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