Dr. Roger A. Dixon

Featured Recent Publications

 

Selected Alzheimer's Research

 

Articles and Chapters

 

2024 – 2021

 

Sultana, M., Camicioli, R., Dixon, R.A.,  Whitehead, S., Pierucciini-Faria, F., Petrotchenko, E., Speechley, M., Borchers, C.H., & Montero-Odasso, M. (in press). A metabolomics analysis of a novel phenotype of older adults at higher risk of dementia. Journal of Alzheimer's Disease. https://doi.org/10.3233/JAD-230683

 

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

 

Bohn, L., Drouin, S.M., McFall, G.P., Rolfson, D.B., Andrew, M.K., & Dixon, R.A. (2023). Machine learning analyses identify frailty-related morbidities that 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.