Ann-Marie de Lange
PhD, cand. psychol.
Senior Research Fellow - PI FemiLab Lausanne
I lead the research group FemiLab at Lausanne University Hospital (CHUV) and University of Lausanne, focusing on using big datasets (e.g the UK Biobank) and machine learning to study brain ageing in large-scale population cohorts, with a particular interest in women's brain health. I work closely with Klaus Ebmeier (Neurobiology of Ageing) and Lars Westlye (multimodal imaging group at NORMENT), using neuroimaging and genetics to study how female-specific factors (pregnancy, childbirth, hormone exposure etc.) relate to women’s brain health in midlife and older age, as well as maternal mental health and brain plasticity during pregnancy and postpartum.
Recent publications
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The link between liver fat and cardiometabolic diseases is highlighted by genome-wide association study of MRI-derived measures of body composition.
Journal article
van der Meer D. et al, (2022), Commun Biol, 5
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Brain-wide associations between white matter and age highlight the role of fornix microstructure in brain age
Preprint
Korbmacher M. et al, (2022)
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Sex- and age-specific associations between cardiometabolic risk and white matter brain age in the UK Biobank cohort.
Journal article
Subramaniapillai S. et al, (2022), Hum Brain Mapp, 43, 3759 - 3774
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Mind the gap: Performance metric evaluation in brain-age prediction.
Journal article
de Lange A-MG. et al, (2022), Hum Brain Mapp, 43, 3113 - 3129
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Female-specific factors are associated with cognition in the UK Biobank cohort
Preprint
Lindseth LRS. et al, (2022)
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Traces of impaired social communication and cognitive performance across diagnostic boundaries in the brain of children and adolescents
Preprint
Voldsbekk I. et al, (2022)
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A Comparison of Brain Age Estimation And Brain Parenchymal Fraction as Imaging Markers in Multiple Sclerosis
Journal article
Høgestøl EA. et al, (2022), SSRN Electronic Journal