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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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
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Linking brain maturation and puberty during early adolescence using longitudinal brain age prediction in the ABCD cohort
Preprint
Holm MC. et al, (2022)
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Cognitive and hippocampal changes weeks and years after memory training.
Journal article
Bråthen ACS. et al, (2022), Sci Rep, 12
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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
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Deep neural networks learn general and clinically relevant representations of the ageing brain.
Journal article
Leonardsen EH. et al, (2022), Neuroimage
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Association of cerebral small vessel disease burden with brain structure and cognitive and vascular risk trajectories in mid-to-late life.
Journal article
Jansen MG. et al, (2022), J Cereb Blood Flow Metab, 42, 600 - 612