Title

Dr. Roger A. Dixon

RAD, Photo by GED
Contact Information:
Mailing Address
Department of Psychology
P-217 Biological Sciences Bldg
University of Alberta
Edmonton, AB
Canada T6G 2E9
Email

rdixon@ualberta.ca

Recent Publications

This page lists three sets of research papers and publications. First, the top box shows active manuscripts, including those under editorial review. The second box shows a selected set of featured articles, each of which is linked by an asterisk to the full reference below. Third, a list of recent published articles and chapters, all in reverse chronological order. For reprints or earlier publication information please contact us via email (vlslab@ualberta.ca).

Active Research, Submitted Papers

  • Bohn, L., Han, A.Y., McFall, G.P., Drouin, S.M., Pettersen, J.A., Einstein, G., Rajah, M.N., Anstey, K.J., & Dixon, R.A. (2023). Gender mediates the association between sex and memory in cognitively normal older adults. (Submitted for Publication)
  • Bohn, L., Zheng, Y., McFall, G.P., Andrew, M.K., & Dixon, R.A. (2024). Frailty in motion: Heterogeneity in classification and longitudinal transitions in persons with amnestic Mild Cognitive Impairment or Alzheimer’s disease. (Manuscript)
  • Chertkow, H. et al. (2023). Impact of a national dementia research consortium: The Canadian Consortium on Neurodegeneration in Aging. (Submitted for Publication)
  • Fah, H., Bohn, L., Greiner, R., & Dixon, R.A. (2023). Comparing machine learning classifier models in discriminating cognitively unimpaired older adults from three clinical cohorts in the Alzheimer’s disease spectrum: Demonstration analyses in the COMPASS-ND study. (Manuscript)
  • Lin, W.Z., ... & Swardfager, W. (2023). Homocysteine, neurodegenerative biomarkers, and APOE ε4 across cerebrovascular and neurodegenerative diseases. (Submitted for Publication)
  • McFall, G.P., Drouin, S.M., Potvin, O., Dieumegarde, L., Rajah, M.N., Collins, L.D., Duchesne, S., & Dixon, R.A. (2023). Longitudinal trajectories of left and right hippocampal volume are moderated by APOE and sex in cognitively normal older adults. (Submitted for Publication)
  • Reuben, R., Calvo, N., McFall, G.P., Ramana, S., Fuller-Thomsen, E., Dixon, R.A., & Einstein, G.E. (2023). Predictors of Alzheimer’s disease risk in women with early life bilateral oophorectomy: Data from the UK Biobank. (Submitted for Publication)
  • Sumra, V., ... & Tartaglia, M.C. (2023). Regional freewater diffusion predicts neuroinflammatory processes more effectively than neurodegeneration: Insights from the Ontario Neurodegenerative Disease Research Initiative (ONDRI). (Submitted for Publication)
  • Xu, Y., McFall, G.P., Rydén, L., Skoog, J., Chang, E., Cysique, L.A., Harris, K., Kedwell, S., Lim, M.L., Anstey, K.J., Anderson, C.S., Dixon, R.A., Skoog, I., Tully, P.J., & Peters, R. (2024). Cumulative blood pressure load and cognitive decline in older adults: An observational analysis of two large cohorts. (Submitted for Publication)
  • Zhao, S., Zwiers, A., Sekhon, R., Charlton, A., Dixon, R.A., Smith, E.E., & Li, L. (2020). Metabolomic differences in cerebral amyloid angiopathy and Alzheimer's disease. (Manuscript)

Featured Recent Publications

*Badhwar et al 2020

PMID: 31891371

*Drouin et al 2020

PMID: 32875056

*Caballero et al 2021

PMID: 32772936

*McFall et al 2019

PMID: 30775975

*Peters et al 2020

PMID: 31827004

*McFall et al 2023

PMID: 37455938

*Bohn et al 2023

PMID: 36865405

*Zheng et al 2023

PMID: 37198167

*Buzzato et al 2021

PMID: 342512085

*Drouin et al 2022

PMID: 34793183

Selected Alzheimer's Research

*Bohn et al 2021

PMID: 33397495

*Heal et al 2022

PMID: 35871342

*Drouin et al 2022

PMID: 35570482

*Sapkota et al 2022

PMID: 34864669

*Andrews et al 2019

PMID: 30681434

Articles and Chapters

2024 – 2021

  • Caballero, H.S., McFall, G.P., Gee, M., MacDonald, S., Phillips, N., Fogarty, J., Montero-Odasso, M., Camicioli, R., & Dixon, R.A. (in press). Cognitive speed in neurodegenerative disease: Comparing mean rate and inconsistency across and within the Alzheimer's and Lewy Body Spectra in the COMPASS-ND study. Journal of Alzheimer's Disease.
  • Kapustin, D., Tumati, S., Wong, M., Herrmann, N., Dixon, R.A., Seitz, D., Rapoport, M.J., & Lanctôt, K.L. (2024). Sex-specific neuropsychological correlates of apathy and depression across neurodegenerative disorders. International Journal of Geriatric Psychiatry, 39(3), e6080. https://doi.org/10.1002/gps.6080
  • Robillard, J.M., Masellis, M., Martin, S.E., Khachaturian, A.S., & Dixon, R.A. (2024). The return of biomarker results in research: Balancing complexity, precision, and ethical responsibility. Journal of Alzheimer's Disease, 97(3), 1083–1090. https://doi.org/10.3233/JAD-230359
  • Sanchez, E., ... Black, S.E., Borrie, M., Dilliott, A.A., Dixon, R.A., ... Kvartsberg, H., Zetterberg, H., Munoz, D.P., the ONDRI Investigators, & Masellis, M. (2024). Association of plasma biomarkers with cognition, cognitive decline, and daily function across and within neurodegenerative diseases: Results from the Ontario Neurodegenerative Disease Research Initiative. Alzheimer's & Dementia, 20(3), 1753–1770. https://doi.org/10.1002/alz.13560.
  • Sultana, M., Camicioli, R., Dixon, R.A., Whitehead, S., Pierucciini-Faria, F., Petrotchenko, E., Speechley, M., Borchers, C.H., & Montero-Odasso, M. (2024). A metabolomics analysis of a novel phenotype of older adults at higher risk of dementia. Journal of Alzheimer's Disease, 99(S2), S317 – S325. https://doi.org/10.3233/JAD-230683
  • Bohn, L., Drouin, S.M., McFall, G.P., Rolfson, D.B., Andrew, M.K., & Dixon, R.A. (2023). Machine learning analyses identify multi-modal frailty factors that selectively discriminate four cohorts in the Alzheimer’s disease spectrum: a COMPASS-ND study. BMC Geriatrics, 23, Article 837. https://doi.org/10.1186/s12877-023-04546-1
  • *Bohn, L., McFall, G.P., Gee, M., Postuma, R.B., Dixon, R.A., & Camicioli, R. (2023). Dementia risk prediction in a longitudinal geriatric Parkinson’s disease cohort: Evaluation and application of the Montréal Parkinson Risk of Dementia Scale. Canadian Geriatrics Journal, 26(1), 176-186. https://doi.org/10.5770/cgj.26.617
  • Dixon, R.A., & Rajah, M.N. (2023). CCNA/CCNV Team 9 Bulletin: Biomarkers of aging and neurodegeneration (Issue 1, January). Edmonton/Montréal: Canadian Consortium on Neurodegeneration in Aging (In Partnership with Alberta Innovates and Canadian Institutes of Health Research).
  • *McFall, G.P., Bohn, L., Drouin, S.M., Gee, M., Fah, H., Han, W., Li, L., Camicioli, R., & Dixon, R.A. (2023). Identifying key multi-modal predictors of incipient dementia in Parkinson's disease: A machine learning analysis and Tree SHAP interpretation. Frontiers in Aging Neuroscience, 15, Article 1124232. https://doi.org/10.3389/fnagi.2023.1124232
  • Song, Y., Liu, Y., Talarico, F., Zhang, Y., Hayward, J., Wang, M., Stroulia, E., Dixon, R.A., Greiner, R., Li, X., Greenshaw, A., Jie, S., & Cao, B. (2023). Associations between differential aging and lifestyle, environment, current, and future health conditions: Findings from Canadian Longitudinal Study on Aging. Gerontology, 69(12), 1394–1403. https://doi.org/10.1159/000534015
  • *Zheng, L., Eramudugolla, R., Cherbuin, N., Drouin, S.M., Dixon, R.A., & Anstey, K.J. (2023). Gender specific factors contributing to cognitive resilience in APOE ɛ4 positive older adults in a population-based sample. Scientific Reports, 13, 8037. https://doi.org/10.1038/s41598-023-34485-1
  • *Drouin, S.M., McFall, G.P., & Dixon, R.A. (2022). Subjective memory concerns, poor vascular health, and male sex predict exacerbated memory decline trajectories: An integrative data-driven class and prediction analysis. Neuropsychology, 36(2), 128-139. https://doi.org/10.1037/neu0000784
  • *Drouin, S.M., McFall, G.P., Potvin, O., Bellec, P., Masellis, M., Duchesne, S., & Dixon, R.A. for the Alzheimer’s Disease Neuroimaging Initiative (2022). Data-driven analyses of longitudinal hippocampal imaging trajectories: Discrimination and biomarker prediction of change classes. Journal of Alzheimer's Disease, 88, 97-115. https://doi.org/10.3233/JAD-215289
  • Harris, C.B., Sutton, J., Keil, P.G., McIlwain, N., Harris, S.A., Barnier, A.J., Savage, G., & Dixon, R.A. (2022). Ageing together: Interdependence in the memory compensation strategies of long-married older couples. Frontiers in Psychology, 13, Article 854051. https://doi.org/10.3389/fpsyg.2022.854051
  • *Heal, M., McFall, G.P., Vergote, D., Jhamandas, J.H., Westaway, D., & Dixon, R.A. (2022). Bridging Integrator 1 (BIN1, rs6733839) and sex are moderators of vascular health predictions of memory aging trajectories. Journal of Alzheimer's Disease, 89, 265-281. https://doi.org/10.3233/JAD-220334
  • *Sapkota, S., McFall, G.P., Masellis, M., Dixon, R.A., & Black, S.E. (2022). Differential cognitive decline in Alzheimer’s disease is predicted by changes in ventricular size but moderated by Apolipoprotein E and pulse pressure. Journal of Alzheimer's Disease, 85(2), 545-560. https://doi.org/10.3233/JAD-215068
  • 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

Bohn, L., Drouin, S.M., McFall, G.P., Rolfson, D.B., Andrew, M.K., & Dixon, R.A. (2023). Machine learning analyses identify multi-morbidity features that discriminate four cohorts in the Alzheimer’s disease spectrum: A COMPASS-ND study. Canadian Geriatrics Journal, 26(1), 205 (Abstract). https://doi.org/10.5770/cgj.26.659

Caballero, S., McFall, G.P., Heal, M., Vergote, D., Andrews, S., Jhamandas, J., Westaway, D., Masellis, M., & Dixon, R.A. (2023). Do polygenic risk scores representing Alzheimer’s disease global risk or specific mechanisms predict non-demented memory aging trajectories differentially in females and males? Canadian Geriatrics Journal, 26(1), 206 (Abstract). https://doi.org/10.5770/cgj.26.659

McFall, G.P., Bohn, L., Gee, M., Drouin, S.M., Han, W., Li, L., Camicioli, R., & Dixon, R.A. (2023). Identifying key multi-modal predictors of incipient dementia in Parkinson’s disease: Machine learning analyses and Tree SHAP interpretation. Canadian Geriatrics Journal, 26(1), 220 (Abstract). https://doi.org/10.5770/cgj.26.659

Drouin, S.M., McFall, G.P., Potvin, O., Zheng, L., Anstey, K.J., Masellis, M., Bellec, P., Duchesne, S., & Dixon, R.A. (2022). Memory resilience in cognitively normal older adults with advanced hippocampal atrophy: Data-driven approaches to detection and prediction. Canadian Geriatrics Journal, 25(1), 116 (Abstract). https://doi.org/10.5770/cgj.25.596

2020 – 2018

  • 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., Beaulieu, C., Bellec, P., Beg, F., Boré, A., Chakravarti, M., Collins, D.L., Descoteaux, M., Dixon, R.A., Duchesne, S., Lussier, D., Smith, E.E., & Tetrel, L. (2020). CCNA Team 9 imaging derivatives. https://ccna-biomarkers.readthedocs.io/en/latest/index.html
  • *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
  • 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 – 2015

  • 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. https://doi.org/10.4324/9781315160719-18
  • 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
  • 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.
  • Dixon, R.A., & Bellec, P. (2016). BioTric/BioEcir CCNA Biomarkers Bulletin (Issue 1, pp. 1-4). Canadian Consortium on Neurodegeneration in Aging.
  • 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
  • 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, 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, 249-256. https://doi.org/10.1016/j.neurobiolaging.2014.06.020

2014 – 2012

  • 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, 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/10.1017/S1355617714000356
  • 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/10.1037/a0034656
  • 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. https://doi.org/10.4324/9780203156513-22
  • 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 – 2009

  • Cohen, A.-L., Kantner, J., Dixon, R.A., & Lindsay, D.S. (2011). The intention interference effect: The difficulty of ignoring what you intend to do. Experimental Psychology, 58, 425-433. https://doi.org/10.1027/1618-3169/a000110
  • 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. https://doi.org/10.1016/b978-0-12-380882-0.00001-2
  • 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
  • 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
  • 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, 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. https://doi.org/10.1037/11882-010
  • 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 – 2003

  • 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. https://doi.org/10.1017/cbo9781316529898.004
  • 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
  • Bielak, A.A.M., Hughes, T.F., Small, B.J., & Dixon, R.A. (2007). It's never too late to engage in lifestyle activities: Significant concurrent but not change relationships between lifestyle activities and cognitive speed. Journal of Gerontology: Psychological Sciences, 62B, 331-339. https://doi.org/10.1093/geronb/62.6.P331
  • de Frias, C.M., Dixon, R.A., Fisher, N., & Camicioli, R. (2007). Intraindividual variability in neurocognitive speed: A comparison of Parkinson's disease and normal older adults. Neuropsychologia, 45, 2499-2507. https://doi.org/10.1016/j.neuropsychologia.2007.03.022
  • Dixon, R.A., & de Frias, C.M. (2007). Mild memory deficits differentially affect six-year changes in compensatory strategy use. Psychology and Aging, 22, 632-638. https://doi.org/10.1037/0882-7974.22.3.632
  • Dixon, R.A., Garrett, D.D., Lentz, T.L., MacDonald, S.W.S., Strauss, E., & Hultsch, D.F. (2007). Neurocognitive markers of cognitive impairment: Exploring the roles of speed and inconsistency. Neuropsychology, 21, 381-399. https://doi.org/10.1037/0894-4105.21.3.381
  • Dixon, R.A., Rust, T.B., Feltmate, S.E., & Kwong See, S. (2007). Memory and aging: Selected research directions and application issues. Canadian Psychology, 48, 67-76. https://doi.org/10.1037/cp2007008
  • Bielak, A.A.M., Mansueti, L., Strauss, E., & Dixon, R.A. (2006). Performance on the Hayling and Brixton tests in older adults: Norms and correlates. Archives of Clinical Neuropsychology, 21, 141-149. https://doi.org/10.1016/j.acn.2005.08.006
  • de Frias, C.M., Dixon, R.A., & Strauss, E. (2006). Structure of four executive functioning tests in healthy older adults. Neuropsychology, 20, 206-214. https://doi.org/10.1037/0894-4105.20.2.206
  • Dixon, R.A. (2006). Metamemory. In R. Schulz (Ed.), Encyclopedia of aging (4th ed.; pp. 772-776). New York: Springer.
  • Small, B.J., Hughes, T.F., Hultsch, D.F., & Dixon, R.A. (2006). Lifestyle activities and late-life changes in cognitive performance. In Y. Stern (Ed.), Cognitive reserve (pp. 173-186). New York, NY: Psychology Press. https://doi.org/10.4324/9780203783047-19
  • Wahlin, Å., MacDonald, S.W.S., de Frias, C.M., Nilsson, L.-G., & Dixon, R.A. (2006). How do health and biological age influence chronological age and sex differences in cognitive aging: Moderating, mediating, or both? Psychology and Aging, 21, 318-332. https://doi.org/10.1037/0882-7974.21.2.318
  • Bielak, A.A.M., Mansueti, L., Strauss, E., & Dixon, R.A. (2006). Performance on the Hayling and Brixton tests in older adults: Norms and correlates. Archives of Clinical Neuropsychology, 21, 141-149. https://doi.org/10.1016/j.acn.2005.08.006
  • Cohen, A.-L., Dixon, R.A., & Lindsay, D.S. (2005). The intention interference effect and aging: Similar magnitude of effects for young and old adults. Applied Cognitive Psychology, 19, 1177-1197. https://doi.org/10.1002/acp.1154
  • de Frias, C.M, & Dixon, R.A. (2005). Confirmatory factor structure and measurement invariance of the Memory Compensation Questionnaire. Psychological Assessment, 17, 168-178. https://doi.org/10.1037/1040-3590.17.2.168
  • Hertzog, C., & Dixon, R.A. (2005). Metacognition in midlife. In S.L. Willis & M. Marting (Eds.), Middle adulthood: A lifespan perspective (pp. 355-379). Thousand Oaks, CA: SAGE. https://doi.org/10.4135/9781452225999.n11
  • Dixon, R.A., & de Frias, C.M. (2004). The Victoria Longitudinal Study: From characterizing cognitive aging to illustrating changes in memory compensation. Aging, Neuropsychology, and Cognition, 11, 346-376. https://doi.org/10.1080/13825580490511161
  • Dixon, R.A., & Nilsson, L.-G. (2004). Don’t fence us in: Probing the frontiers of cognitive aging. In R.A. Dixon, L. Backman, & L.-G. Nilsson (Eds), New frontiers in cognitive aging (pp. 3-15). Oxford: Oxford University Press. https://doi.org/10.1093/acprof:oso/9780198525691.003.0001
  • Dixon, R.A., Wahlin, Å., Maitland, S.B., Hultsch, D.F., Hertzog, C., & Bäckman, L. (2004). Episodic memory change in late adulthood: Generalizability across samples and performance indices. Memory & Cognition, 32, 768-778. https://doi.org/10.3758/BF03195867
  • MacDonald, S.W.S., Dixon, R.A., Cohen, A.-L., & Hazlitt, J.E. (2004). Biological age and 12-year cognitive change in older adults: Findings from the Victoria Longitudinal Study. Gerontology, 50, 64-81. https://doi.org/10.1159/000075557
  • Cohen, A.-L., Dixon, R.A., Lindsay, D.S., & Masson, M.E.J. (2003). The effect of perceptual distinctiveness on the prospective and retrospective components of prospective memory in young and old adults. Canadian Journal of Experimental Psychology, 57, 274-289. https://doi.org/10.1037/h0087431
  • de Frias, C.M., Dixon, R.A., & Bäckman, L. (2003). Older adults' use of memory compensation strategies is related to psychosocial and health indicators. Journal of Gerontology: Psychological Sciences, 58, 12-22. https://doi.org/10.1093/geronb/58.1.P12
  • Dixon, R.A. (2003). Themes in the aging of intelligence: Robust decline with intriguing possibilities. In R.J. Sternberg, J. Lautrey, & T. Lubart (Eds.), Models of intelligence (pp. 151-167). Washington, DC: American Psychological Association.
  • Dixon, R.A., & Cohen, A.-L. (2003). Cognitive development in adulthood. In R.M. Lerner, M.A. Easterbrooks, & J. Mistry (Eds.), Comprehensive handbook of psychology, Vol. 6: Developmental psychology (pp. 443-461). New York: John Wiley. https://doi.org/10.1002/0471264385.wei0618
  • Dixon, R.A., Hopp, G.A., Cohen, A.-L., de Frias, C.M., & Bäckman, L. (2003). Self-reported memory compensation: Similar patterns in Alzheimer's disease and very old adult samples. Journal of Clinical and Experimental Neuropsychology, 25, 382-390. https://doi.org/10.1076/jcen.25.3.382.13801
  • Hertzog, C., Dixon, R.A., Hultsch, D.F., & MacDonald, S.W.S. (2003). Latent change models of adult cognition: Are changes in processing speed and working memory associated with changes in episodic memory? Psychology and Aging, 18, 755-770. https://doi.org/10.1037/0882-7974.18.4.755
  • MacDonald, S.W.S., Hultsch, D.F., & Dixon, R.A. (2003). Age-related slowing of digit symbol substitution revisited: What do longitudinal age changes reflect? Journal of Gerontology: Psychological Sciences, 58, 187-194. https://doi.org/10.1093/geronb/58.3.P187
  • MacDonald, S.W.S., Hultsch, D.F., & Dixon, R.A. (2003). Performance variability is related to change in cognition: Evidence from the Victoria Longitudinal Study. Psychology and Aging, 18, 510-523. https://doi.org/10.1037/0882-7974.18.3.510
  • Nyberg, L., Maitland, S.B., Rönnlund, M., Bäckman, L., Dixon, R.A., Wahlin, Å., & Nilsson, L.-G. (2003). Selective adult age differences in an age-invariant multi-factor model of declarative memory. Psychology and Aging, 18, 149-160. https://doi.org/10.1037/0882-7974.18.1.149
  • Small, B.J., Hertzog, C., Hultsch, D.F., & Dixon, R.A. (2003). Stability and change in adult personality over 6 years: Findings from the Victoria Longitudinal Study. Journal of Gerontology: Psychological Sciences, 58B, 166-176. https://doi.org/10.1093/geronb/58.3.P166
  • Wahlin, Å., Maitland, S.B., Bäckman, L., & Dixon, R.A. (2003). Interrelations between subjective health and episodic memory change in Swedish and Canadian samples of older adults. International Journal of Aging and Human Development, 57, 21-36. https://doi.org/10.2190/9VAA-KMYV-U2HU-PVAW

Pre-2003

RAD publications before 2003 are listed elsewhere in this website. These include articles, chapters, and books.