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

vlslab@ualberta.ca

VLS News

We are pleased to share a series of interim output lists for members of the VLS and colleagues. We have increasingly collaborated with national and international colleagues in novel and promising research directions. Some of these activities are directly related to VLS data and initiatives while others are aimed at integrating VLS interests and expertise with those of related projects and databases. In this section, we illustrate the expanding scope of VLS research by listing conference presentations that feature VLS members but highlight the synergies we are developing through collaborations that meaningfully extend our plans and projects beyond local horizons.

Selected VLS Conference Activity
The VLS at the 2025 Canadian Consortium on Neurodegeneration in Aging Conference
  • Bohn, L., Vandenberg, P., Rajah, M.N., Einstein, G., & Dixon, R.A. (2025, October). Evaluating sex and gender as independent and interactive predictors of memory aging trajectory classes: An integrative data-driven approach. Talk presented at the Canadian Consortium on Neurodegeneration in Aging Conference, Calgary, AB.
  • Camicioli, R., Zhang, S., Nelles, K., Li, L., & Dixon, R.A. (2025, October). Lipidomic discriminators in the Lewy body disease spectrum in the Comprehensive Assessment of Neurodegeneration and Dementia (COMPASS-ND) cohort. Talk presented at the Canadian Consortium on Neurodegeneration in Aging Conference, Calgary, AB.
  • Treit, S., Bore, A., Bohn, L., Descoteaux, M., Dixon, R.A., & Beaulieu, C. (2025, October). Differential patterns of white matter diffusion MRI abnormalities in nine COMPASS-ND clinical cohorts compared with cognitively unimpaired controls. Talk presented at the Canadian Consortium on Neurodegeneration in Aging Conference, Calgary, AB.
The VLS at the 2025 Alzheimer's Association International Conference
  • Caballero, H.S., Andrews, S.J., Jhamandas, J.H., Camicioli, R., Masellis, M., & Dixon, R.A. (2025, July). Integrating polygenic risk scores, modifiable dementia risk factors, and sex as predictors of cohort membership in the Alzheimer’s and Lewy body disease spectra: A COMPASS-ND study. Poster presented at the Alzheimer's Association International Conference, Toronto, ON.
  • Camicioli, R. Black, S., Borrie, M., ... Smith, E., Dixon, R.A., & Wellington, C. (2025, July). Alzheimer and neurodegeneration biomarkers in mild cognitive impairment with Lewy body disease in COMPASS-ND. Poster presented at the Alzheimer's Association International Conference, Toronto, ON.
  • Dixon, R.A., & Bohn, L. (2025, July). Advancing research on diversity and resilience in aging and dementia: Methodological challenges and roadmap recommendations. In R.A. Dixon & P. Vemuri (Chairs), Featured Research Session on cognitive reserve and brain resilience: The role of lifestyle, diversity, and early-life experiences in aging and dementia. Presented at the Alzheimer's Association International Conference, Toronto, ON.
  • Dixon, R.A., Drouin, S., Bohn, L. Zhao, S., & Li, L. (2025, July). Integrating novel metabolomics biomarkers with multi-modal risk factors in predicting mild cognitive impairment and Alzheimer's disease. Paper presented at the Alzheimer's Association International Conference, Toronto, ON.
The VLS at the 2024 CCNA Partners Forum and Science Days Conference
  • Bohn, L., Zheng, Y., Andrew, M.K., & Dixon, R.A. (2024, March). Detecting and characterizing longitudinal heterogeneity in multi-determined frailty statuses in amnestic mild cognitive impairment and Alzheimer’s disease: A latent transition analysis. Talk presented at the 2024 CCNA Partners Forum and Science Days Conference, Montréal, QC.
  • Caballero, H.S., Vergote, D., Andrews, S.J., Jhamandas, J.H., Chertkow, H., Camicioli, R., Masellis, M., & Dixon, R.A. (2024, March). Do data-driven global or selected mechanism-specific polygenic risk scores predict cohort membership in the Alzheimer's and Lewy body spectra? Initial machine learning classifier analyses in the COMPASS-ND study. Poster presented at the 2024 CCNA Partners Forum and Science Days Conference, Montréal, QC.
  • Dixon, R.A., Rajah, M.N., & Bohn, L. (2024, March). Adventures in data mining and data-driven biomarker studies in COMPASS-ND: A brisk tour of data mining highlights leading to (and now including) CCNA. Invited talk at the 2024 CCNA Partners Forum and Science Days Conference, Montréal, QC.
  • Fah, H., Bohn, L., Greiner, R., & Dixon, R.A. (2024, March). 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. Poster presented at the 2024 CCNA Partners Forum and Science Days Conference, Montréal, QC.
The VLS at the 2022 CCNA Science Days Conference
  • Dixon, R.A., & Reuben, R. (Co-Moderators, 2022, October) for M. Mielke, Keynote Address: What about seXX?: Importance of considering sex and gender in Alzheimer’s and aging research. Presented at the 2022 Virtual CCNA Science Days Conference.
  • McFall, G.P. (2022, October). Methodological approaches to integrating sex and gender analyses in large-scale databases of aging and Alzheimer's disease. Invited address at the 2022 Virtual CCNA Science Days Conference.
  • Bohn, L., Drouin, S.M., McFall, G.P., Rolfson, D., Andrew, M.K., & Dixon, R.A. (2022, October). Machine learning analyses identify multimorbidity features that discriminate four cohorts in the Alzheimer’s disease spectrum: A COMPASS-ND study. Presented at the 2022 Virtual CCNA Science Days Conference.
  • Caballero, H.S., McFall, G.P., Heal, M., Vergote, D., Andrews, S.J., Jhamandas, J.H., Westaway, D., Masellis, M., & Dixon, R.A. (2022, October). Do polygenic risk scores representing Alzheimer's global risk or specific mechanisms predict non-demented memory aging trajectories differently in females and males? Presented at the 2022 Virtual CCNA Science Days Conference.
  • Drouin, S.M., Badhwar, A., McFall, G.P., Bohn, L., Sapkota, S., Lussier, D., Descoteaux, M., Black, S., Chertkow, H., Rajah, M.N., Masellis, M., Greiner, R., Li, L., Iturria-Medina, Y., Duchesne, S., & Dixon, R.A. (2022, October). Integrating neuroinformatics and multiomics biomarker approaches to understanding heterogeneity and precision in Alzheimer’s and related dementias: A COMPASS-ND protocol from CCNA Team 9. Presented at the 2022 Virtual CCNA Science Days Conference.
  • Heal, M., McFall, G.P., Caballero, H.S., Vergote, D., Westaway, D., Jhamandas, J.H., & Dixon, R.A. (2022, October). Integrating Alzheimer's genetic risk, vascular health, and sex in predicting memory aging trajectories: Two replicated multi-step biomarker network analyses. Presented at the 2022 Virtual CCNA Science Days Conference.
  • McFall, G.P., Bohn, L., Gee, M., Drouin, S.M., Han, W., Li, L., Camicioli, R., & Dixon, R.A. (2022, October). Identifying key multi-modal predictors of incipient dementia in Parkinson's disease: A machine learning analysis and Tree SHAP interpretation. Presented at the 2022 Virtual CCNA Science Days Conference.
The VLS at the 2021 Banff (Virtual) Brain Aging and Dementia Conference

The conference was sponsored by Campus Alberta Neuroscience (CAN) and the CAN-based Healthy Brain Aging and Dementia committee.

The full agenda and speaker list can be found here.

  • Dixon, R.A. (2021, May). Moderator: Integrating big data, neuroinformatics, and precision health approaches. Symposium featuring invited talks by David Wishart (Alberta), Aman Badhwar (Montréal), Yasser Iturria-Medina (McGill), Michelle M. Mielke (Mayo Clinic). Presented at the Banff Conference on Promoting Healthy Brain Aging and Preventing Dementia: Research and Translation. Virtual Conference from Alberta Canada.
  • Bohn, L., McFall, G.P., Gee, M., Dixon, R.A., & Camicioli, R. (2021, May). Does the Montreal Parkinson Risk of Dementia Rating Scale predict dementia in a geriatric Parkinson's disease cohort? Paper presented at the Banff Conference on Promoting Healthy Brain Aging and Preventing Dementia: Research and Translation. Virtual Conference from Alberta Canada.
  • Caballero, H.S., McFall, G.P., Zheng, Y., & Dixon, R.A. (2021, May). Data-driven approaches to executive function performance and structure in aging: Integrating person-centered analyses and machine learning risk prediction. Paper presented at the Banff Conference on Promoting Healthy Brain Aging and Preventing Dementia: Research and Translation. Virtual Conference from Alberta Canada.
  • Drouin, S.M., McFall, G.P., Potvin, O., Bellec, P., Masellis, M., Duchesne, S., & Dixon, R.A. (2021, May). Data-driven analyses of longitudinal hippocampal imaging trajectories: Discrimination and biomarker prediction of change classes and clinical outcomes. Paper presented at the Banff Conference on Promoting Healthy Brain Aging and Preventing Dementia: Research and Translation. Virtual Conference from Alberta Canada.
  • Han, Y.W., McFall, G.P., Drouin, S.M., Bohn, L., & Dixon, R.A. (2021, May). Gender mediates the relationship between sex and memory in cognitively normal older adults. Paper presented at the Banff Conference on Promoting Healthy Brain Aging and Preventing Dementia: Research and Translation. Virtual Conference from Alberta Canada.
  • Heal, M., McFall, G.P., Vergote, D., & Dixon, R.A. (2021, May). Bridging Integrator 1 (BIN1, rs6733839) and sex are moderators of vascular health predictions of memory aging trajectories. Paper presented at the Banff Conference on Promoting Healthy Brain Aging and Preventing Dementia: Research and Translation. Virtual Conference from Alberta Canada.
  • McFall, G.P., Bohn, L., Gee, M., Drouin, S.M., Han, W., Li, L., Camicioli, R., & Dixon, R.A. (2021, May). Machine learning analyses identify multi-modal predictors of incipient dementia in Parkinson's disease. Paper presented at the Banff Conference on Promoting Healthy Brain Aging and Preventing Dementia: Research and Translation. Virtual Conference from Alberta Canada.
The VLS at the 2020 Virtual CCNA Science Day
  • Caballero, S., McFall, G.P., Gee, M., Nelles, K., Burt, J., Dixon, R.A., & Camicioli, R. (2020, October). Fluctuating cognition in neurodegenerative disease: Comparing reaction time mean rate and inconsistency. Poster presented at the 2020 Virtual CCNA Science Day Conference.
  • Dixon, R.A. (2020, October). Factoring sex into aging and neurodegeneration research: Examples with large data bases. Presentation in G.E. Einstein (Moderator), Integrating sex and gender in aging and neurodegeneration research: Examples from micro- to macro-data. Symposium presented at the 2020 Virtual CCNA Science Day Conference.
  • Dixon, R.A. (2020, October). Moderator: New directions in biomarker research and application in Alzheimer's disease. Symposium presented at the 2020 Virtual CCNA Science Day Conference. Speakers included: Pedro Rosa-Neto (McGill), Mari de Marco (UBC), Cheryl Wellington (UBC), and Yasser Iturria-Medina (McGill).
The VLS at the Alzheimer's Association 2020 International Conference (Virtual)
  • Dixon, R.A. (2020, July). Machine learning approaches for precision mining of longitudinal data. Presented at the Alzheimer's Association International Conference (Virtual Event).
  • Sapkota, S., McFall, G.P., Dixon, R.A., Masellis, M., & Black, S. (2020, July). Association of ventricular size on executive function and attention is modified by Apolipoprotein E and moderated by pulse pressure in Alzheimer's disease. Presented at the Alzheimer's Association International Conference (Virtual Event).
The VLS at the 2018 Third Annual CCNA Science Day
  • Camicioli, R., Dixon, R.A., Tadley, J., Buzatto, A.Z., Mung, D., Bajwa, B., & Li, L. (2018, October). Lipidomics analyses in Parkinson's disease. Presented at the 2018 Canadian Consortium on Neurodegeneration and Aging Science Day, Montréal, QC.
  • Dixon, R.A., & Bellec, P. (2018, October). CCNA Biomarkers Team: Progress, prospects, and plans. Presented at the 2018 Canadian Consortium on Neurodegeneration and Aging Science Day, Montréal, QC.
  • McFall, G.P., Olivier, P., Dieumegarde, L., Drouin, S., Camicioli, R., Duchesne, S., & Dixon, R.A. (2018, October). Longitudinal analyses of imaging trajectories provide novel insights into the variable dynamics of brain aging and Alzheimer's disease. Presented at the 2018 Canadian Consortium on Neurodegeneration and Aging Science Day, Montréal, QC.
The VLS at the 2018 Banff Brain Aging and Dementia Conference

The VLS presented research at the second international conference sponsored by Campus Alberta Neuroscience and the Alberta Healthy Brain Aging and Dementia community, Promoting Healthy Brain Aging and Preventing Dementia: Research and Translation. It took place June 20-22, 2018 at the Banff Centre for Arts and Creativity in Banff, Alberta, Canada.

This event was a follow-up to a successful conference of the same name held in 2016. That conference brought together people of different fields and backgrounds and allowed for cross-disciplinary connections and innovative conversations. The audience included researchers, physicians, policymakers, trainees and members of the community from Alberta, Canada and around the world. Several new, promising developments resulted from the event, including new funding into Alberta dementia research, greater connection to national initiatives, and new collaborations formed.

This event was a follow-up to a successful conference of the same name held in 2016. Topics of presentation and discussion at the 2018 conference occurred in five sessions:

  • New frontiers of biomarker research, early detection and precision health application
  • Neurodegeneration as a connect-opathy
  • Cutting-edge rodent models and the path to diagnostics/therapeutics
  • Exercise and cognitive interventions for healthy brain aging and prevention of dementia
  • Applied research in dementia

VLS Director, Roger Dixon, co-organized the conference and chaired the first session (biomarkers). VLS Assistant Director, Peggy McFall, presented an invited address at the conference. VLS graduate students, Sebastian Caballero and Sheri Thibeau, received outstanding poster awards for their research presentations.

  • Bohn, L., McFall, G.P., & Dixon, R.A. (2018, June). Less isn’t always better: Weight status differentially impacts semantic related cognition as a function of age and sex. Poster presented at the International Conference on Promoting Healthy Brain Aging and Preventing Dementia: Research and Translation, Banff, AB.
  • Caballero, H.S., McFall, G.P., & Dixon, R.A. (2018, June). Integrating characteristics of executive functions in non-demented aging: Structure, trajectories, classification, and biomarker predictors. Poster presented at the International Conference on Promoting Healthy Brain Aging and Preventing Dementia: Research and Translation, Banff, AB.
  • Drouin, S., McFall, G.P., Fu, S.X., & Dixon, R.A. (2018, June). A four-facet model of subjective memory decline in non-demented aging: Selective prediction sensitivity for women. Poster presented at the International Conference on Promoting Healthy Brain Aging and Preventing Dementia: Research and Translation, Banff, AB.
  • McFall, G.P. (2018, June). Alzheimer’s biomarkers discriminate non-demented cognitive aging trajectories and phenotypes. Invited talk, International Conference on Promoting Healthy Brain Aging and Preventing Dementia: Research and Translation, Banff, AB.
  • Sapkota, S., McFall, G.P., Masellis, M., & Dixon, R.A. (2018, June). Alzheimer's genetic network effects on cognitive trajectories are moderated by modifiable AD risk domains. Poster presented at the International Conference on Promoting Healthy Brain Aging and Preventing Dementia: Research and Translation. Banff, AB.
  • Thibeau, S., McFall, G.P., Rockwood, K., & Dixon, R.A. (2018, June). Decoding interacting trajectories of frailty and memory aging: Patterns of change, prediction, and resilience. Poster presented at the International Conference on Promoting Healthy Brain Aging and Preventing Dementia: Research and Translation, Banff, AB.
The VLS at the 2017 Second Annual CCNA Science Day

Congratulations to Dr. Peggy McFall and Sheri Thibeau who were the recipients of the ASC-CCNA (Alzheimer's Society of Canada - Canadian Consortium on Neurodegeneration in Aging) poster award in the Postdoctoral and PhD categories respectively at the 2017 Second Annual CCNA Science Day Trainee Poster Competition.

  • Badhwar, A., McFall, G.P., Sapkota, S., Duchesne, S., Li, L., Chertkow, H., Dixon, R.A., & Bellec, P. (2017, November). Toward discovery of multi-omic biotypes of Alzheimer's disease in the COMPASS-ND cohort: A focused review and proposed roadmap. Paper presented at the Canadian Consortium on Neurodegeneration in Aging Annual Science Day, Toronto, ON.
  • McFall, G.P., Bellec, P., Deary, I., & Dixon, R.A. (2017, November). Multiple modalities of Alzheimer’s biomarkers discriminate trajectory-based phenotypes in non-demented aging: Machine-learning prediction of sex differences in sustained cognitive health and accelerated decline. Poster presented at the Canadian Consortium on Neurodegeneration in Aging Annual Science Day, Toronto, ON.
  • Thibeau, S., McDermott, K., McFall, G.P., Weibe, S., Rockwood, K., & Dixon, R.A. (2017, November). Frailty effects on cognitive changes in aging are moderated by domain, Alzheimer’s genetic risk, and sex. Poster presented at the Canadian Consortium on Neurodegeneration in Aging Annual Science Day, Toronto, ON.
The VLS at the 2017 Alzheimer's Association International Conference (AAIC)
  • Badhwar, A., McFall, G.P., Sapkota, S., Chertkow, H., Dixon, R.A. & Bellec, P. (2017, July). Toward discovery of multi-omics biotypes of Alzheimer’s disease: A focused review and proposed roadmap. Alzheimer's Association International Conference, London, England.
  • Dixon, R.A., McFall, G.P. & McDermott,K. (2017, July). Discriminating and predicting cognitive exceptionality and resilience: A roadmap for trajectory and interaction analyses with risk and protection factors. Alzheimer's Association International Conference, London, England.
  • McFall, G.P. & Dixon, R.A. (2017, July). Alzheimer’s biomarkers interact dynamically to predict cognitive trajectories differentially for cognitively exceptional, normal, and impaired groups. Alzheimer's Association International Conference, London, England.
The VLS at the 2016 Cognitive Aging Conference
  • McDermott, K.L., McFall, G.P., & Dixon, R.A. (2016, April). Successful memory aging is associated with advantages in other cognitive and risk domains. Cognitive Aging Conference, Atlanta, GA.
  • Sapkota, S., Bäckman, L., & Dixon, R.A. (2016, April). Executive function performance and change is predicted by genetic risk (APOE), intensified by COMT and BDNF, and moderated by lifestyle activities. Cognitive Aging Conference, Atlanta, GA.
  • Thibeau, S., McFall, G.P., & Dixon, R.A. (2016, April). Everyday physical activity and mobility affect executive function level and change for older adults: Age effects within APOE risk-allele status. Cognitive Aging Conference, Atlanta, GA.
The VLS at the 2014 Cognitive Aging Conference
  • Brewster, P.W.H., MacDonald, S.W.S., & Dixon, R.A. (2014, April). Norm-referenced measures of reaction time variability: Sensitivity to cognitive performance and longitudinal change in nondemented older adults. Cognitive Aging Conference, Atlanta, GA.
  • DeCarlo, C., MacDonald, S.W.S., & Dixon, R.A. (2014, April). Vascular and genetic influences moderate MCI status and stability: Evidence from the Victoria Longitudinal Study. Cognitive Aging Conference, Atlanta, GA.
  • Dixon, R.A. (2014, April). On the hunt for biomarkers of cognitive aging: Testing modifiers and identifying mechanisms of cognitive trajectories and transitions. Invited Overview Talk, Cognitive Aging Conference, Atlanta, GA.
  • MacDonald, S.W.S., Brewster, P., Halliday, D., Love, J., Hundza, S., DeCarlo, C., Lukyn, T., & Dixon, R.A. (2014, April). Intraindividual variability in both gait and gait-related cognitive performance are associated with 25-year cognitive decline. Cognitive Aging Conference, Atlanta, GA.
  • McFall, G.P., Wiebe, S.A., Vergote, D., Bäckman, L., & Dixon, R.A. (2014, April). Genetic and vascular health influences on the aging of episodic memory: Interactive effects of ApoE and pulse pressure. Cognitive Aging Conference, Atlanta, GA.
  • Runge, S.K., McFall, G.P., Small, B.J., & Dixon, R.A. (2014, April). Neurodegenerative-related genetic plasticity factors and cognitive aging: Evidence for better or worse. Cognitive Aging Conference, Atlanta, GA.
  • Sapkota, S., Tran, T., Camicioli, C., MacDonald, S.W.S., Li, L., & Dixon, R.A. (2014, April). Global metabolomics analyses discriminate phases of neurodegenerative disease and produce selective candidate biomarkers for cognitive aging. Cognitive Aging Conference, Atlanta, GA.
The VLS at Recent Cognitive Aging Conferences: 2012–2004
  • Alwerdt, J., Small, B.J., & Dixon, R.A. (2012, April). Personality traits and cognitive performance in aging: Level but not slope effects.
  • DeCarlo, C.A., Vergote, D., Whitehead, B.P., MacDonald, S.W.S., Westaway, D., Jhamandas, J., & Dixon, R.A. (2012, April). Testing independent and interactive associations among genetic and other biomarkers of cognitive risk, status, and stability in the Victoria Longitudinal Study.
  • Hendrix-Buxton, S., Small, B.J., McFall, G.P., & Dixon, R.A. (2012, April). Apolipoprotein E genotype moderates the benefits of lifestyle activities on cognitive decline: Evidence from the Victoria Longitudinal Study.
  • MacDonald, S.W.S., Love, J., Quade, T., DeCarlo, C.A., Halliday, D., & Dixon, R.A. (2012, April). Linking variability, gait, and cognition: What sensorimotor indicators can tell us about cognitive aging.
  • McFall, G.P., Wiebe, S.A., & Dixon, R.A. (2012, April). Longitudinal analyses of executive functions in older adults: Modifying role of type 2 diabetes and the IDE polymorphism.
  • Whitehead, B.P., Sapkota, S., McFall, G.P., Vergote, D., Westaway, D., Jhamandas, J., & Dixon, R.A. (2012, April). Testing effects of BDNF and COMT polymorphisms on cognitive functioning in normal aging and type 2 diabetes: Two replication and extension studies.
  • DeCarlo, C.A., MacDonald, S.W.S., & Dixon, R.A. (2010, April). Revisiting Birren’s BioAge: Linking biological and cognitive processes in the Victoria Longitudinal Study.
  • de Frias, C.M., Dixon, R.A., & Camicioli, R. (2010, April). Neurocognitive inconsistency in Parkinson’s disease and normal aging: An 18-month longitudinal study.
  • Dolcos, S., Braslavsky, A., Geall, B.P., MacDonald, S.W.S., & Dixon, R.A. (2010, April). Is mild cognitive impairment associated with markers of biological vitality and lifestyle activity?
  • Geall, B.P., Dixon, R.A., MacDonald, S.W.S., Fischer, A.L., & Hultsch, D.F. (2010, April). Intraindividual variability in neurocognitive speed performance in type 2 diabetes.
  • McFall, G.P., Dolcos, S., MacDonald, S.W.S., & Dixon, R.A. (2010, April). Do biomarkers mediate type 2 diabetes-cognition relationships: Exploring structural models.
  • Small, B.J., Dixon, R.A., & McArdle, J.J. (2010, April). >Tracking cognitive change from 55 to 95 years of age: Findings from the Victoria Longitudinal Study.
  • MacDonald, S.W.S. (2008, April). Overview of intraindividual variability in cognitive and neurocognitive aging. (Invited Overview Paper)
  • de Frias, C., Dixon, R.A., & Strauss, E. (2008, April). Executive functioning in special populations: From cognitively elite to cognitively impaired.
  • Small, B.J., Dixon, R.A., McArdle, J.J., & Grimm, K.J. (2008, April). Changes in lifestyle activities in relation to changes in cognitive abilities: 12-year data from the Victoria Longitudinal Study.
  • Yeung, S.E., Fischer, A.L., & Dixon, R.A. (2008, April). Exploring effects of type 2 diabetes on cognitive performance in older adults.
  • Dixon, R.A. (2007, August). An epidemiological approach to cognitive health in aging: Illustrations from the Victoria Longitudinal Study. (Invited Address)
  • Dixon, R.A., & de Frias, C.M. (2006, April). Mild memory deficits differentially affect six-year changes in compensatory strategy use.
  • Dixon, R.A., Garrett, D.D., Lentz, T., MacDonald, S.W.S., Strauss, E., & Hultsch, D.F. (2006, April). Neurocognitive markers of mild cognitive impairment: Speed and inconsistency.
  • Feltmate, S.E., Gagnon, L.M., Kang, S.J., & Dixon, R.A. (2006, April). Exploring metacognitive characteristics of collaborating dyads.
  • Garrett, D.D., MacDonald, S.W.S., & Dixon, R.A. (2006, April). Characteristics of the cognitive battery affect prevalence and stability of subclinical cognitive impairment.
  • Small, B.J., McArdle, J.J., MacDonald, S.W.S., & Dixon, R.A. (2006, April). Growth-survival models of terminal decline: Effects of initial level and change in cognition.
  • Tippe, S.E., de Frias, C.M., & Dixon, R.A. (2006, April). Do NSAIDs buffer cognitive decline in normal aging? Evidence from the Victoria Longitudinal Study.
  • de Frias, C.M., & Dixon, R.A. (2004, April). Memory compensation: Structure, invariance, variability, and memory correlates.
  • Dixon, R.A., MacDonald, S.W.S., & Hultsch, D.F. (2004, April). Revisiting the terminal decline hypothesis: New evidence for enduring questions.
  • Hertzog, C., Dixon, R.A., Hultsch, D.F., & Maitland, S.B. (2004, April). Does longitudinal memory change correlate with (either) subjective memory change (or) change in subjective memory?
  • Mansueti, L., Westbury, C.F., & Dixon, R.A. (2004, April). Cognitive functioning following mild stroke in older adults: Occupational, lifestyle, and activities effects.
  • Wahlin, Å., MacDonald, S.W.S., de Frias, C.M., & Nilsson, L-G. (2004, April). How health and biological age influence chronological age and sex differences in cognitive aging: Moderating, mediating, or both?
The VLS at the Joseph R. Royce Research Conference: 2012–2007

The VLS has presented several student posters at the 21st (March 2007), 22nd (February 2008), 23rd (March 2009), 24th (March 2010), 25th (March 2011) and 26th (March 2012) Annual Joseph R. Royce Research Conferences held at the University of Alberta. Congratulations to the students who presented their research.

  • McFall, G.P., Wiebe, S.A., & Dixon, R.A. (2012, March). Longitudinal analyses of executive functioning in aging: Modifying roles for Type 2 Diabetes and IDE polymorphism.
  • Sapkota, S., McFall, G.P., Whitehead, B.P., Vergote, D., Westaway, D., Jhamandas, J., & Dixon, R.A. (2012, March). Effects of COMT and BDNF polymorphisms on neurocognitive functioning in normal aging.
  • Whitehead, B.P., Vergote, D., McFall, G.P., MacDonald, S.W.S., Camicioli, R., Lechelt, K., Jhamandas, J., Westaway, D., & Dixon, R.A. (2011, March). Allelic distributions of APOE, BDNF, and COMT: Toward neurogenetic analyses of healthy aging, mild cognitive impairment, and Alzheimer's disease.
  • Demsky, A.N., McFall, G.P., Geall, B.P., & Dixon, R.A. (2010, March). Exploring the effects of obesity on cognition.
  • Dolcos, S., Braslavsky, A., Geall, B.P., MacDonald, S.W.S., & Dixon, R.A. (2010, March). Is mild cognitive impairment associated with markers of biological vitality and lifestyle activity?
  • Geall, B.P., Dixon, R.A., MacDonald, S.W.S., Fischer, A.L., & Hultsch, D.F. (2010, March). Intraindividual variability in neurocognitive speed performance in Type 2 diabetes.
  • McFall, G.P., Dolcos, S., MacDonald, S.W.S., & Dixon, R.A. (2010, March). Do biomarkers mediate Type 2 diabetes-cognition relationships: Exploring structural models.
  • Wang, R., McFall, G.P., & Dixon, R.A. (2010, March). Olfactory identification and cognitive functions in aging.
  • Dolcos, S., & Dixon, R.A. (2009, March). Effects of conscious and nonconscious goal regulation on responses to emotional stimulation: From younger to older adults.
  • McFall, G.P., Geall, B., Fischer, A.L., Dolcos, S., & Dixon, R.A. (2009, March). Role of co-morbidities in moderating and mediating cognitive deficits associated with aging and Type 2 diabetes.
  • Fischer, A.L., Yeung, S.E., & Dixon, R.A. (2008, February). Does Type 2 diabetes affect cognitive performance in older adults?
  • Cochrane, K.M., Frender, R.H., & Dixon, R.A. (2007, March). Autobiographical memory cues support episodic memory in early AD.
  • Feltmate, S.E., & Dixon, R.A. 2007, March). Social engagement and the presence of mild cognitive impairment.
  • Yeung, S., & Dixon, R.A. (2007, March). Effects of Type II diabetes on cognitive functioning in older adults: Data from the Victoria Longitudinal Study.
The VLS at the 2005 Gerontological Society of America (GSA)

The following papers from the VLS are presented at the 58th Annual Meeting of the Gerontological Society of America. In addition to Roger Dixon (Edmonton), the VLS co-authors are from Victoria, Tampa, Stockholm, and Los Angeles. In addition, Brent Small presented his invited address, "Health and Lifestyle Influences on Cognitive Aging", in honour of the 2004 Margret Baltes Award.

  • Brewster, P.W.H., MacDonald, S.W.S., & Dixon, R.A. (2014, April). Norm-referenced measures of reaction time variability: Sensitivity to cognitive performance and longitudinal change in nondemented older adults. Cognitive Aging Conference, Atlanta, GA.
  • DeCarlo, C., MacDonald, S.W.S., & Dixon, R.A. (2014, April). Vascular and genetic influences moderate MCI status and stability: Evidence from the Victoria Longitudinal Study. Cognitive Aging Conference, Atlanta, GA.
  • Dixon, R.A. (2014, April). On the hunt for biomarkers of cognitive aging: Testing modifiers and identifying mechanisms of cognitive trajectories and transitions. Invited Overview Talk, Cognitive Aging Conference, Atlanta, GA.
  • MacDonald, S.W.S., Brewster, P., Halliday, D., Love, J., Hundza, S., DeCarlo, C., Lukyn, T., & Dixon, R.A. (2014, April). Intraindividual variability in both gait and gait-related cognitive performance are associated with 25-year cognitive decline. Cognitive Aging Conference, Atlanta, GA.
VLS Research Growth in the 2020s
1. VLS: Integrating New Features of Aging in Longitudinal Research

VLS Dynamic Multi-Domain Growth: Since its early days as a longitudinal memory aging study, the VLS has advanced dramatically in its (a) coverage of multiple domains of crucial aspects of human aging, (b) methodologically integrative multi-method research approaches, (c) application of technologically advanced computational (AI-related data analytic) tools, (d) attention to within-VLS subgroup differences (especially differences between women and men), and (e) involvement in knowledge synthesis, mobilization and translation activities. Reflecting the overall project goal of advancing our understanding of the many interrelated aspects of human aging, the VLS has launched several specific initiatives. These include (a) a protocol for collecting and coding all medications from VLS participants, (b) an expanded clinical neuropsychological battery (supplementing a strong cognitive and memory battery), (c) a coordinated set of physiological and sensory measures, (d) comprehensive measurement of lifetime exposures to risk and protection factors (eg., lifestyle, social, cognitive, physical, activities), (e) new longitudinal-epidemiological research emphases linking biological, health, and neurocognitive aging, and (f) collaborative augmentation of VLS research through comparative studies with related databases.

Goal: The overall goal is to enhance our ability to examine potential markers (and their interactions) of cognitively healthy-exceptional aging, cognitively unimpaired (typical) aging, cognitively accelerated decline, and transitions into neurodegenerative impairment (including conditions such as Alzheimer’s disease).

2. Update: VLS “Omics” Biomarker Initiative

Genetics and Cognitive Aging: The emergence of biological markers of differential trajectories and outcomes in cognitive aging has influenced nearly all longitudinal studies of cognitive aging. The VLS is no exception, as it began its “Genetics Initiative” in the early 2000s. The purpose was to explore newly identified linkages among various genetic factors and the variety of trajectory patterns and outcomes of cognitive aging, including Alzheimer’s disease. With its powerful longitudinal database already established, the VLS was well-positioned to integrate genetic information. The first initiative was funded by a 3-year grant to three Co-Principal Investigators at the University of Alberta: Roger Dixon (Psychology), Jack Jhamandas (Neurology), and David Westaway (Centre for Prions and Protein Folding Diseases). Other Investigators on the project include personnel from various departments (Neurology, Psychiatry, Geriatrics, Campus Saint-Jean) and colleagues from UVic (Psychology, VLS Lab). We used non-invasive salivary biofluid for the DNA analyses.

Details: We are pleased to acknowledge the grant funding from a partnership grant with the Alberta Heritage Foundation for Medical Research (AHFMR). A list of VLS genetics publications is presented below.

Integrating Omics Data in the VLS: The successful integration of genetics data in the VLS inspired us to expand our purview to include other “omics” data. Biomarkers of neurocognitive aging can be studied selectively (such as hypothesis-guided specific gene-cognition associations) or comprehensively (such as data-driven analyses of the totality of genes in association with neurocognitive outcomes). The latter approach, referred to as an omics analysis, investigates the entire collection of genes (genomics), proteins (proteomics), metabolites (metabolomics), lipids (lipidomics) and their associations with clinical and cognitive outcomes in aging. In the VLS, we began our omics studies by focusing on metabolomics, given the crucial role that these molecules play in influencing neurocognitive and neuroclinical patterns and changes. Recently, we have also begun investigating lipidomics, for similar reasons. This work has opened a new window into the underlying aspects of aging that influence the direction, rate and outcomes of brain and cognitive changes.

Details: We are pleased to acknowledge funding associated with the Canadian Consortium on Neurodegeneration in Aging (including Canadian Institutes of Health Research and Alberta Innovates). A list of VLS metabolomics and lipidomics outputs is provided below.

3. Update: VLS Integration with International Databases

Synergies in International Collaboration: VLS researchers have supplemented their investigations by accessing or collaborating with related studies of brain/cognitive aging, mild cognitive impairment and neurodegenerative disease (Alzheimer’s, Lewy Body, Parkinson’s). Collaborating with these international databases serve many fundamental VLS goals, including (a) data sharing obligations and opportunities, (b) comparisons across designs and nations, (c) advancing trainee engagement and visibility, (d) AI analytics testing and implementation, and (e) discovery and validation of new knowledge regarding pathways and predictors of healthier versus impairment directions and outcomes in cognitive aging. As additional longitudinal datasets are being developed, the more opportunities for synergistic collaborations are available.

Examples of Big Databases with VLS Collaborators:

(a) Alberta: BioCog Parkinson’s Disease;

(b) Canada: Comprehensive Assessment of Neurodegeneration and Dementia (COMPASS-ND)

(c) Canada: Brain Health at Midlife and Menopause (BHAMM; Montreal/Toronto)

(d) Canada: Ontario Neurodegenerative Disease Research Initiative (ONDRI)

(e) Canada: Sunnybrook Dementia Study (Toronto)

(f) Australia: PATH Through Life Study (Sydney)

(g) Sweden: Gothenburg H70 Birth Cohort Study

(h) Sweden: Kungsholmen Study (Stockholm)

(i) UK: UK Biobank

(j) USA: Alzheimer’s Disease Neuroimaging Initiative (ADNI)

(k) USA: National Alzheimer’s Coordinating Centre (NACC)

(l) USA: Religious Orders Study—Memory Aging Project (ROS-MAP; Chicago)

4. Recent VLS Publications in Genetics and OMICS

Active Research
  • Caballero, H.S., Andrews, S.J., Masellis, M., & Dixon, R.A. (2026). Identifying key sex-specific polygenic risk scores and multi-modal predictors discriminating four cohorts in the Alzheimer’s disease spectrum: A comparative study using machine learning technology. (Manuscript)
  • Caballero, H.S., Bohn, L., Vergote, D., Andrews, S.J., Jhamandas, J.H., & Dixon, R.A. (2026). Polygenic risk scores, vascular health and sex interactively predict memory aging trajectories: A dynamic Alzheimer's disease biomarker network approach. (Submitted for Publication)
  • Camicioli, R., Zhang, S., Nelles, K., Li, L., & Dixon, R.A. (2026). Lipidomic discriminators in the Lewy body disease spectrum in the Comprehensive Assessment of Neurodegeneration and Dementia (COMPASS-ND) cohort. (Manuscript)
  • Drouin, S.M., Bohn, L., Zhao, S., Li, L., & Dixon, R.A. (2026). Integrating novel metabolomics biomarkers with multi-modal risk factors in predicting mild cognitive impairment and Alzheimer’s disease: A data-driven COMPASS-ND study. (Manuscript)
  • Heal, M., Caballero, H.S., Bohn, L., Vergote, D., Jhamandas, J.H., & Dixon, R.A. (2026). Inflammation-related genetic risk and sex are moderators of vascular health predictions of asymptomatic memory aging trajectories: The role of Triggering Receptor Expressed on Myeloid cells-1 (TREM1). (Manuscript)
  • McFall, G.P., Drouin, S.M., Potvin, O., Dieumegarde, L., Rajah, M.N., Collins, L.D., Duchesne, S., & Dixon, R.A. (2026). Longitudinal trajectories of left and right hippocampal volume are moderated by APOE and sex in cognitively normal older adults. (Submitted for Publication)
  • Zhao, S., Zwiers, A., Sekhon, R., Charlton, A., Dixon, R.A., Smith, E.E., & Li, L. (2026). Metabolomic differences in cerebral amyloid angiopathy and Alzheimer's disease. (Manuscript)

2026 – 2024
  • Caballero, H.S., Andrews, S.J., Jhamandas, J.H., Camicioli, R., Masellis, M., & Dixon, R.A. (2025). Integrating polygenic risk scores, modifiable dementia risk factors, and sex as predictors of cohort membership in the Alzheimer’s and Lewy body disease spectra: A COMPASS-ND study. Alzheimer’s & Dementia, 21(S7), e108960 (Abstract). https://doi.org/10.1002/alz70861_108960
  • Dixon, R.A., Drouin, S., Bohn, L. Zhao, S., & Li, L. (2025). Integrating novel metabolomics biomarkers with multi-modal risk factors in predicting mild cognitive impairment and Alzheimer's disease. Alzheimer’s & Dementia, 21(S2), e104500 (Abstract). https://doi.org/10.1002/alz70856_104500
  • Lin, W.Z., Yu, D., Xiong, L.Y., ... Dixon, R.A., ... & Swardfager, W. (2025). Homocysteine, neurodegenerative biomarkers, and APOE ε4 in neurodegenerative diseases. Alzheimer's & Dementia, 21, Article e14376. https://doi.org/10.1002/alz.14376
  • Caballero. H.S., Vergote, D., Andrews, S.J., Jhamandas, J.H., Chertkow, H., Camicioli, R., Masellis, M., & Dixon, R.A. (2024). Integrating data-driven polygenic risk scores, vascular health, and sex in dynamic Alzheimer’s and Lewy body biomarker networks: Precision prediction of cognitive change and clinical status in the Victoria Longitudinal and COMPASS-ND studies. Canadian Geriatrics Journal, 27(3), 351 (Abstract). https://doi.org/10.5770/cgj.27.782
  • 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

2023 – 2021
  • 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
  • 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
  • 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
  • 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

2020 – 2018
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
VLS Centenarian

We are very proud of our first centenarian. A member of VLS Sample 1, Mr. Allan Trueman, completed the sixth wave in Spring 2003. Click here to view a picture of Mr. Trueman relaxing after a hard day's work in the lab.