Permanent biostatistician role with Lund University's Clinical Memory Research group (BioFINDER) on an NIH-funded blood biomarker project. Closes 3 Nov 2026.

Accedeix a dades especialitzades sobre molècules, biomarcadors, proteïnes i assaigs clínics, i utilitza eines d’anàlisi per explorar la bioactivitat, els mecanismes de les malalties i les possibles ap...

Aging and Alzheimer's disease (AD) are accompanied by alterations to large-scale communication patterns in the brain, which can be tracked in vivo using functional connectivity. The location, direction and relevance of these changes remain widely debated, although they are rarely studied in the context of whole-cortex communication dynamics. Here, in two independent cohorts (BioFINDER-2, N = 973; Alzheimer's Disease Neuroimaging Initiative, N = 129), we show that functional connectivity changes...

We analyzed resting-state functional magnetic resonance imaging (fMRI) data from the BioFINDER-2 cohort (973 participants) with complete data (cerebrospinal fluid (CSF) Aβ42/40, tau PET and fMRI scans; see Table 1 for participant characteristics). After parcellating the cortex into 1,000 regions33, FC was quantified using nodal affinity, the parcel-wise average of connectivity similarity to all other parcels. Henceforth, we focus on this FCS as our central FC measure of interest (Fig. 1a and Methods). Nodal affinity was used as the outcome in parcel-wise regression models (Methods), with the t-values of the terms of interest mapped onto the cortical surface, resulting in ‘t-maps’ (Fig. 1a,c). Our goal was to assess the degree to which these t-maps aligned with the principal axes (that is, gradients) of functional organization (Fig. 1c). The gradients of interest were defined as the first three principal components of the averaged connectomes from healthy controls (Fig. 1b; see Extended Data Fig. 10 for comparisons of different methods to derive gradients, and explained variance of the derived components). Supplementary analyses (Supplementary Table 1) with gradients derived using several methods (including the traditional diffusion map embedding from Margulies and colleagues20) confirmed that this methodological choice did not substantially impact the results...

The AD-RIDDLE project is pleased to announce the soft launch of three Digital Engagement Platform (DEP) sites in Sweden for the FINGERS Brain Health Institute (FBHI), the Swedish BioFINDER study (BioFINDER) and the REAL-AD study (REAL AD). The DEP platforms have been developed by Gates Ventures in collaboration with leading Alzheimer’s and brain health research

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New publication in Nature Medicine!   In this study, led by PhD students Pontus Tideman and Linda Karlsson, we demonstrate that a brief, self-administered cognitive test battery can reliably identify ...

🚨New preprint out! https://t.co/LdvG7rxl8s Tau-PET is the best prognostic AD biomarker, but is expensive and inaccessible. Can we use machine learning to get the same information from low-cost clinical variables? A thread on our new study led by PhD student @karlssonlinda1 👇

Cicognola et al. investigate the relationship between the APOE4 gene—the strongest genetic risk factor for Alzheimer’s disease—and tau. They find that the

Contribute to DeMONLab-BioFINDER/fc_changes_follow_gradients development by creating an account on GitHub.