Jacob Vogel

DDLS Fellow, Lund University

Key publications

Vogel, J.W., Young, A.L., Oxtoby, N.P. et al. Four distinct trajectories of tau deposition identified in Alzheimer’s disease. Nat Med 27, 871–881 (2021). https://doi.org/10.1038/s41591-021-01309-6

Vogel, J.W., La Joie, R., Grothe, M.J. et al. A molecular gradient along the longitudinal axis of the human hippocampus informs large-scale behavioral systems. Nat Commun 11, 960 (2020). https://doi.org/10.1038/s41467-020-14518-3

Vogel, J.W., Iturria-Medina, Y., Strandberg, O.T. et al. Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease. Nat Commun 11, 2612 (2020). https://doi.org/10.1038/s41467-020-15701-2

Bethlehem, R.A.I., Seidlitz, J., White, S.R., Vogel, J.W. et al. Brain charts for the human lifespan. Nature 604, 525–533 (2022). https://doi.org/10.1038/s41586-022-04554-y

Vogel, J.W., Vachon-Presseau E., Pichet Binette A., et al. Brain properties predict proximity to symptom onset in sporadic Alzheimer’s disease. Brain 141(6), 1871-1883 (2018). doi:10.1093/brain/awy093

Elman, J.A.*, Vogel, J.W.*, Bocancea, D.I. et al. Issues and recommendations for the residual approach to quantifying cognitive resilience and reserve. Alz Res Therapy 14, 102 (2022). https://doi.org/10.1186/s13195-022-01049-w

My lab’s main focus is in aging and neurodegenerative disease research, where we take advantage of large data resources to model disease progression and discover contributions to disease pathogenesis. Some of my lab’s principal research avenues include characterizing individual difference in disease progression, predicting the neurobiological progression of neurodegenerative diseases, and modeling the earliest biological changes that lead to neurodegenerative syndromes. Our work achieves these goals by blending large neuroimaging and multi-omic datasets, and applying to these datasets supervised and unsupervised methods in statistical learning and disease progression modeling.

My lab is part of the Swedish BioFINDER study (https://biofinder.se/), which is one of the premier neurodegenerative datasets in the world. Our research group is also privileged with a large network of collaborators that help push forward the lab’s research goals by providing both expert domain knowledge and rare datasets. The group boasts a sophistication in many statistical approaches and an expertise in many types of datasets. We also have a commitment to open science, FAIR principals and contributing to the greater research community.

Last updated: 2023-03-14

Content Responsible: Hampus Persson(hampus.persson@scilifelab.uu.se)