Shannon M. Drouin

ORCID: 0000-0001-8767-5884
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About
Contact & Profiles
Research Areas
  • Dementia and Cognitive Impairment Research
  • Health, Environment, Cognitive Aging
  • Neuropeptides and Animal Physiology
  • Frailty in Older Adults
  • Pain Mechanisms and Treatments
  • Cancer, Stress, Anesthesia, and Immune Response
  • Memory and Neural Mechanisms
  • Alzheimer's disease research and treatments
  • Stress Responses and Cortisol
  • Ginkgo biloba and Cashew Applications
  • Lipoproteins and Cardiovascular Health
  • Blood Pressure and Hypertension Studies
  • Neuroendocrine regulation and behavior
  • Psychosocial Factors Impacting Youth
  • Neurological Disease Mechanisms and Treatments
  • Parkinson's Disease Mechanisms and Treatments
  • Early Childhood Education and Development
  • Renal Transplantation Outcomes and Treatments
  • Hepatitis C virus research
  • Healthcare Systems and Public Health
  • Stroke Rehabilitation and Recovery
  • Transplantation: Methods and Outcomes
  • Aging and Gerontology Research
  • Nutrition and Health in Aging
  • Clusterin in disease pathology

University of Alberta
2019-2024

National Institute on Aging
2024

Pitié-Salpêtrière Hospital
2024

Sorbonne Université
2024

Women and Children’s Health Research Institute
2023-2024

McGill University
2017

It has been reported consistently that many female chronic pain sufferers have an attenuation of symptoms during pregnancy. Rats display increased tolerance pregnancy due to increase in opioid receptors the spinal cord. Past studies did not consider role non-neuronal cells, which are now known play important processing. Using inflammatory (complete Freund's adjuvant) or neuropathic (spared nerve injury) model persistent pain, we observed young adult mice early switch from a...

10.1523/jneurosci.2053-17.2017 article EN cc-by-nc-sa Journal of Neuroscience 2017-09-06

Background Persons with Parkinson’s disease (PD) differentially progress to cognitive impairment and dementia. With a 3-year longitudinal sample of initially non-demented PD patients measured on multiple dementia risk factors, we demonstrate that machine learning classifier algorithms can be combined explainable artificial intelligence methods identify interpret leading predictors discriminate those who later converted from did not. Method Participants were 48 well-characterized ( M baseline...

10.3389/fnagi.2023.1124232 article EN cc-by Frontiers in Aging Neuroscience 2023-06-30

Although APOE ɛ4 has been identified as the strongest genetic risk factor for Alzheimer's Disease, there are some carriers who do not go on to develop disease or cognitive impairment. This study aims investigate factors contributing this "resilience" separately by gender. Data were drawn from positive participants aged 60 + at baseline in Personality and Total Health Through Life (PATH) Study (N = 341, Women 46.3%). Participants categorised into "resilient" "non-resilient" groups using...

10.1038/s41598-023-34485-1 article EN cc-by Scientific Reports 2023-05-17

Abstract Background Frailty indicators can operate in dynamic amalgamations of disease conditions, clinical symptoms, biomarkers, medical signals, cognitive characteristics, and even health beliefs practices. This study is the first to evaluate which, among these multiple frailty-related indicators, are important differential predictors cohorts that represent progression along an Alzheimer’s (AD) spectrum. We applied machine-learning technology such order identify leading three AD spectrum...

10.1186/s12877-023-04546-1 article EN cc-by BMC Geriatrics 2023-12-11

Apolipoprotein E (APOE) ε4 allele is the strongest genetic risk factor for late onset Alzheimer's disease (AD). This case-cohort study used targeted plasma biomarkers and large-scale proteomics to examine biological mechanisms that allow some APOEε4 carriers maintain normal cognitive functioning in older adulthood.

10.1186/s13024-024-00772-2 article EN cc-by Molecular Neurodegeneration 2024-10-31

Subjective memory decline (SMD) has been identified as a potential early marker of nonnormal and accelerated cognitive decline. We performed data-driven analyses that integrated trajectory classification with prediction modeling to test declining class by SMD facets, pulse pressure (PP; i.e., robust proxy for vascular health), sex.

10.1037/neu0000784 article EN Neuropsychology 2021-11-18

Two established subjective memory decline facets (SMD; complaints, concerns) are early indicators of and Alzheimer's disease. We report (1) a four-facet SMD inventory (memory concerns, compensation, self-efficacy) (2) prediction change moderation by sex. The longitudinal design featured 40 years (53 to 97) non-demented aging (n = 580) from the Victoria Longitudinal Study. Statistical analyses included confirmatory factor conditional latent growth modeling. Inventory was psychometrically...

10.1002/dad2.12089 article EN cc-by-nc-nd Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring 2020-01-01

Abstract Background There is currently no specific consensus regarding the screening strategy for CAD in renal transplant candidates. Purposes To describe candidates 1/ Strategies and results of 2/ cardiovascular outcomes this population Methods All patients registered on kidney waiting list our tertiary centre were classified into (unscreened), screened, or with prior CAD. Unscreened was defined as ischemia anatomic testing while within year to listing. Screening considered "positive" when...

10.1093/eurheartj/ehae666.3262 article EN European Heart Journal 2024-10-01

Abstract Background and Objectives Sex gender are important topics of increasing interest in aging dementia research. Few studies have jointly examined sex (as a biological attribute) sociocultural behavioral characteristic) within single study. We explored novel data mining approach to include both as potentially related influences memory Research Design Methods Participants were 746 cognitively normal older adults from the Victoria Longitudinal Study. First, we adapted Gender Outcomes...

10.1093/geroni/igae094 article EN cc-by-nc-nd Innovation in Aging 2024-01-01

Background: Hippocampal atrophy is a well-known biomarker of neurodegeneration, such as that observed in Alzheimer’s disease (AD). Although distributions hippocampal volume trajectories for asymptomatic individuals often reveal substantial heterogeneity, it unclear whether interpretable trajectory classes can be objectively detected and used prediction analyses. Objective: To detect predict computationally competitive context using established AD-related risk factors/biomarkers. Methods: We...

10.3233/jad-215289 article EN other-oa Journal of Alzheimer s Disease 2022-05-10

Theory of Mind (ToM), defined as the ability to infer a range internal mental states (beliefs, intentions, desire, and emotions) others’, is central development appropriate social emotional processing skills. Children with poor ToM have been shown difficulty interpreting situations requiring complex reasoning greater risk peer rejection. Although sleep has implicated factor for functioning in children, date, role successful specifically not studied. The goal this pilot study was determine...

10.1093/sleepj/zsx050.053 article EN SLEEP 2017-04-28

Longitudinal models of non-pathological aging are required to achieve a better understanding specific change characteristics (level and slope) prediction interactions (precision moderators) associated with exacerbated decline transitions cognitive impairment Alzheimer's disease (AD). We used sequence dynamic quantitative trajectory modeling methods analyze multi-wave longitudinal magnetic resonance imaging (MRI) data. replicated these analyses across four morphometric measures (left/right...

10.1016/j.jalz.2019.06.936 article EN Alzheimer s & Dementia 2019-07-01
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