Proud to say my second PhD paper is out today in @NatureComms!.Forever thankful to all who made it possible @LCBC_UiO @RenWesterhause1 @VidalDidac @LifebrainEU (1/8).👇

Out now in @NatureComms Detecting Alzheimer's risk in adult lifespan MRI samples of healthy people tracked across their lives and the continuum of neurodegeneration

RT @Magnus_Nordmo: 🧵 Is there a genuine adolescent mental health crisis or are we just more sensitive to mental health problems? What did w….

RT @VidalDidac: Check our latest work where we assess the reliability of longitudinal MRI based data and the effect of follow-up time, numb….

RT @KorbmacherMax: I'm very proud to share our recent paper, mapping brain asymmetries from mid- to late life using multimodal MRI @NatureC….

RT @MrBeast: I’m gonna give 10 random people that repost this and follow me $25,000 for fun (the $250,000 my X video made). I’ll pick the w….

Thank you to all coauthors and everyone involved in the amazing datasets @LCBC_UiO @LifebrainEU @VidalDidac @estenhl @DrMowinckels @KWalhovd @AndersFjell & Yunpeng Wang [10/10].

Our results support a dimensional account linking normal brain ageing with AD, suggesting AD risk genes speed up the shared pattern of ageing- and AD-related neurodegeneration that starts early, occurs along a continuum, and tracks memory change in healthy adults. [9/10].

Finally, individuals high on both risk markers - PRS-AD and faster-than-expected brain change (in pink) - exhibited more memory decline across their healthy adult life, compared to those with only the genetic risk but less brain change 👇 [8/10]

Using the list of AD-accelerated features in multivariate analyses, we found change across many of these related to PRS-AD in healthy adults. And that most individuals above 50 years of age are on an accelerated change trajectory in AD-vulnerable regions [7/10]

We estimated age-relative change in AD-control data, and ran ML classification on the subject-specific slopes. The model both predicted 100% of independent AD cases (AUC=.95), and when applied to healthy adult lifespan change estimates, related to PRS-AD [6/10]

Given the univariate results, we expected that multivariate markers of change would better detect AD risk in healthy adults. So, we turned to AD patient-control data, to get a data-driven list of features with accelerated change in AD, and use these in healthy adults [5/10].

(entorhinal, amygdala, meta-temporal 👇 [note only R ent and amygdala survived FDR in univariate analyses, see preprint]) [4/10]

We first show more brain loss than expected given age in early Braak stage regions relates to polygenic scores for AD (PRS-AD) in healthy adults, and find evidence this extends beyond APOE .(hippocampus 👇) [3/10]

We hypothesized atrophy patterns in ageing and AD are largely shared, but that changes are accelerated in AD. And used the @LCBC_UiO healthy adult lifespan dataset (2-7 timepoints) to estimate individual-specific brain and memory change in healthy adults aged 30-89 [2/10].

New preprint! Tracking brain and memory change in adult lifespan samples that are known to be high-performing, we find individuals losing brain faster than expected for their age have higher genetic Alzheimer's risk, faster memory decline📉, and aging and AD may be on a continuum.

RT @irenevoldsbekk: Today at #Flux2023 poster session 1, come chat about replicability and generalisability of brain-behaviour associations….

RT @AndersFjell: Is change a weak source of individual differences in brain & cognition in aging? Too much weight on late-life modifiable f….

RT @KWalhovd: Check our @TrendsCognSci paper-differences in brain and cognition in aging do not necessarily reflect age changes! Greater e….

RT @AndersFjell: Do we really need 7-9h sleep? Many sleep much less, feeling fine. No obviously deviant features of the brain structure of….