Ann-Marie de Lange
PhD, cand. psychol.
Senior Research Fellow
I am a neuroscientist and clinical psychologist specialising in population neuroscience and applied machine learning. My research combines neuroimaging (MRI), clinical, genetic, and psychosocial data to study brain health and disease risk, with a particular focus on women’s brain and mental health across the lifespan.
In my research group FemiLab, we use computational modelling in clinical and population-based cohorts to study sex-specific patterns in brain structure, cognition, and health outcomes. Our research interests include female transition phases; adolescence, pregnancy, menopause, and ageing, as well as sex differences in risk factors and disease trajectories. We are actively engaged in science communication and advocacy for inclusive, data-driven approaches to brain health research. Our work has been supported by competitive grants from funders such as the Swiss National Science Foundation and the Research Council of Norway.
My background includes a professional degree in clinical psychology and a PhD in neuroimaging and brain plasticity from the University of Oslo. Following a postdoctoral fellowship at the University of Oxford, I established FemiLab, formerly based at Lausanne University Hospital (CHUV) in Switzerland. I currently hold a Lecturer position (Teaching & Research) at Queen Mary University of London, with honorary affiliations at the Department of Psychiatry, University of Oxford, and the Department of Psychology, University of Oslo.
Recent publications
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Author Response: Sex-Dependent Effects of Cardiometabolic Health and APOE4 on Brain Age: A Longitudinal Cohort Study
Journal article
Subramaniapillai S. et al, (2025), Neurology, 105
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Investigating Shared Cardiovascular Factors and Genetic Overlap of Pregnancy-Related Disorders, Major Depressive Disorder, and Alzheimer’s Disease
Journal article
Oppenheimer H. et al, (2025), Biological Psychiatry
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Genetic risk for Alzheimer’s disease, and differential trajectories in circulating blood biomarkers in UK Biobank (n=17,817)
Preprint
Lyall D. et al, (2025)
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A Bayesian analysis of diagnostic timelines across Alzheimer's disease, frontotemporal dementia, and other neurodegenerative conditions
Journal article
Ambikairajah A. et al, (2025), Alzheimer S and Dementia Diagnosis Assessment and Disease Monitoring, 17
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Mediation Analyses Link Cardiometabolic Factors and Liver Fat With White Matter Hyperintensities and Cognitive Performance: A UK Biobank Study
Journal article
Askeland-Gjerde DE. et al, (2025), Biological Psychiatry Global Open Science, 5
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Cardiometabolic health across menopausal years is linked to white matter hyperintensities up to a decade later
Chapter
Schindler LS. et al, (2025), Women’s Brain Health and Aging through the Lifespan, 14 - 26
