Anders M Fjell

Interested in functional neuroimaging and looking for a PhD in a collaborative environment? We have a new position at LCBC on a projhect using longutidinal fMRI to track memory changes in development and aging. @lcbc-uio.bsky.social www.jobbnorge.no/en/available...

New in @natneuro.nature.com : Cortical thickness changes precede PET Abeta positivity with several years @lcbc-uio.bsky.social @jamesmroe.bsky.social www.nature.com/articles/s41...

New in @pnas.org When did the Flynn effect reverse? Earlier than we thought, but rising high-school completion among lower-SES children temporarily masked the decline. Reversal: highest SES ~1969; lowest SES ~1978. @lcbc-uio.bsky.social @olerogeberg.bsky.social www.pnas.org/doi/10.1073/...

How long can humans live? "If anti-ageing research worked, even a little, it would be obvious. An eight-year reduction in biological age would halve the risk of death. It would not need marketing." www.nature.com/articles/d41...

Interesting result

Using a stochastic dynamical model, Grodem et al show that, before age 60, inter-individual differences in neuroanatomical volumes almost exclusively reflect stable differences between individuals, rather than systematic differences in rate-of-change: doi.org/10.1162/IMAG.a.1242

New paper in Imaging Neuroscience by Edvard O.S. Grødem, Anders M. Fjell, et al: Stable individual differences dominate adult brain volume variation until later life doi.org/10.1162/IMAG...

Paper out now involving LIP colleagues @brandmaier.bsky.social and Ulman Lindenberger!

Cognitive function at age 13 predicts dementia 60 years later, even controlling for cardiovascular and cardiometabolic risk. @KWalhovd www.medrxiv.org/content/10.6...

Interested in neuroimaging and cognition in aging and want to work with us? We have an open position @KWalhovd @LCBC_UiO 2411.webcruiter.no/Main2/Recrui...

Use of brain age models frequently lead to wrong conclusions - unfortunately it is not easy to fix. Fortunately, there are better alternatives. @edvardg.bsky.social @fmrib-steve.bsky.social @didacvp.bsky.social @maxwellelliott.bsky.social @k.b.walhovd www.medrxiv.org/content/10.6...

Reconsidering Brain Age: Why Age-Prediction Models Fail as Measures of Brain Aging #NeuroDegeneration 🧪🧠 https://www.medrxiv.org/content/10.64898/2026.05.07.26352620v1

New Cochrane review on effects of the anti-amyloid drugs: "Successful removal of amyloid from the brain does not seem to be associated with clinically meaningful effects ... research should focus on other mechanisms of action." www.cochranelibrary.com/cdsr/doi/10....

Dementia incidence declines - we find generational improvements in level and age-change in episodic memory combined account for the full effect. Effects strongest with most decline, supported by hippocampal atrophy. ~783,000 memory assessments www.medrxiv.org/content/10.6...

Great work @drmowinckels.io !!

An international research effort combining brain imaging and memory testing from thousands of adults is offering a clearer picture of how age-related brain changes affect memory. @andersfjell.bsky.social Learn More in Nature Communications @natureportfolio.nature.com 👉 www.nature.com/articles/s41...

Why do some people lose memory faster with age? A mega-analysis of 13 longitudinal datasets (3,700+ adults, 10,000+ MRIs) shows that memory decline tracks brain atrophy, especially in the hippocampus, and that these links strengthen with age, but not APOE status: www.nature.com/articles/s41...

Vulnerability to memory decline in aging revealed by a mega-analysis of structural brain change www.nature.com/articles/s41...

" Our mega-analysis reveals a nonlinear relationship between memory decline and brain atrophy, primarily affecting individuals with above-average brain structural decline. "

Very impressed with @didacvp.bsky.social's work in @natcomms.nature.com, the most thorough mapping of longitudinal memory-atrophy relationships in normal aging, showing both global and memory-specific associations, which grow stronger with age. Early accsess here: www.nature.com/articles/s41...

Impressive MEGA-analysis: Vulnerability to memory decline in aging revealed by a mega-analysis of structural brain change www.nature.com/articles/s41...

Thanks for the fun and interesting discussions @kathrynbates.bsky.social and Chloe Carrick

Over 12,500 brain scans from cognitively healthy adults reveal that sex differences in age-related brain atrophy can’t explain why women have higher rates of Alzheimer's disease. The authors call for research into alternative explanations. In PNAS: https://ow.ly/hIYj50XgiCn

It is this type of sky over the university. Morning office window view.

@nature.com made a news piece on our new @pnas.org paper. Good job Anne Ravndal! Men’s brains shrink faster than women’s: what that means for Alzheimer’s. www.nature.com/articles/d41...

Another interesting paper from LifeBrain consortium suggesting that sex differences in healthy brain aging are unlikely to explain higher prevalence of Alzheimer’s disease in women www.pnas.org/doi/10.1073/...

🧠 Education boosts memory levels but not brain aging resistance A new study across 33 countries found more education links to better memory and larger brain volume, but not slower cognitive or brain decline. 🔗 www.nature.com/articles/s41... #SciComm 🧪

@natmed.nature.com made a nice Research Briefing about our paper. Highglights with less details, the main conclusion is the same: Education does not affect memory decline or brain aging @LCBC_UiO @LifebrainEU www.nature.com/articles/s41...

🧠💡 CAN YOU SAVE YOUR FUTURE BRAIN BY GETTING A DEGREE? A new Nature Medicine paper—led by @andersfjell.bsky.social—analyzed 407,000 memory tests and 15,000 brain scans across 33 countries to find out whether education protect you from cognitive decline at older ages. The answer: not really. [1/5]

New paper by @njudd.com shows that an additional year of education doesn't causally affect telomere length in old age, despite many (theory) accounts arguing otherwise. It's been desk rejected by 13 journals happy to publish small 'positive' telomere studies. Sigh. www.biorxiv.org/content/10.1...

This is a really interesting paper - showing what you can and cannot infer about individual differences in change from x-sect data. A take-home-message is that typical brain age models cannot be used to measure differences in brain aging - deviations reflect stable differences between people.

Very nice in @pnas.org - people who slept closer to their own culture's norms for sleep duration had better overall health. Sleep duration is more complex than often considered in a strict neuroscientific or biomedical sense. @ChristineOuBC @stevenheine.bsky.social www.pnas.org/doi/10.1073/...