🎉🎉🎉🎉 congratulations!!!!!!
20.02.2026 14:31
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🎉🎉🎉🎉 congratulations!!!!!!
This was a huge team effort - many many thanks to Roberta Passiatore, @giuliopergola.bsky.social, Annchen Knodt, @maxwellelliott.bsky.social, and lots of others from @lieberinstitute.bsky.social, University of Bari, and Duke !
We hope that future work will tease apart which factors cause this association. We suspect that poor health behaviors, chronic stress, and genetics could each play a role - but we need experimental and longitudinal research to know for sure.
Crucially, the effects for DunedinPACNI were largely non-overlapping with brain age gap, suggesting that these measures capture unique aspects of aging in schizophrenia
We found consistently accelerated DunedinPACNI in schizophrenia, but not among people at clinical high-risk for psychosis
This pattern was robust to familial risk, smoking, and antipsychotic medication side effects
We recently introduced such a measure - DunedinPACNI. This measure leverages longitudinal measurement of aging from the Dunedin Study, a birth cohort now in midlife, to enhance the measurement of aging
www.nature.com/articles/s43...
Neuroimaging research on this question largely uses aging measures trained on chronological age (eg brain age gap)
What about a neuroimaging measure trained on physiological decline?
Epigenetic research has found some evidence for this hypothesis. However, there are big differences between aging measures trained on chronological age and those trained on physiological decline
www.sciencedirect.com/science/arti...
People with schizophrenia are more likely to get age-related diseases and tend to get them earlier in life. Some people hypothesize that this is due to accelerated aging in schizophrenia
Is schizophrenia associated with accelerated aging?
In our new paper, we find evidence for consistently faster aging in schizophrenia, though not among unaffected siblings nor clinical high-risk youth
doi.org/10.1017/S003...
#PenNLINC is recruiting a clinical coordinator / lab manager!!! Looking for someone who is good with both people + code, wants to learn to acquire + analyze imaging data. Alumni in this role have written 1st author papers + gone to top grad programs.
Website: www.pennlinc.io
Job: bit.ly/4ojvCir
🔥🔥🧠PhD positions are open in my lab, studying brain development and neurodevelopmental disorders based on neuroimaging MRI scans. Due: Dec 1, 2025. If you are interested, please DM me.
My second first author paper of graduate school - Sex differences in response to violence: role of salience network expansion and connectivity on depression - is now published in Translational Psychiatry! rdcu.be/eLYg6
Official job ad is up! careers.peopleclick.com/careerscp/cl...
yes definitely!!
Congrats, Armin!!!
Our new paper is out now in Neuron! 🎉 With @vaibhavtripathi.bsky.social @maxwellelliott.bsky.social Joanna Ladopoulou, Wendy Sun, Mark Eldaief, and Randy Buckner
Paper link: www.sciencedirect.com/science/arti...
Delighted to see the paper describing the Reproducible Brain Charts open data resource now out in @cp-neuron.bsky.social. Paper + link to data below; huge congrats to @goliashf.bsky.social @milhammichael.bsky.social and the whole RBC team. Lots of people (>2,500 downloads) are already using RBC!
1/11 Excited to share our @Naturestudy led by @leonooi.bsky.social @csabaorban.bsky.social @shaoshiz.bsky.social
AI performance is known to scale with logarithm of sample size (Kaplan 2020), but in many domains, sample size can be # participants or # measurements...
doi.org/10.1038/s415...
thanks ted!!!
Network analysis offers new insights into psychiatric symptoms. How can we use these tools to compare symptom patterns across groups?
⬇️🧵Thread below 🧵⬇️
doi.org/10.1017/s003...
Do you want to estimate brain aging from a single MRI scan?
Check out our latest work in Nature Aging
"DunedinPACNI estimates the longitudinal Pace of Aging from a single brain image to track health and disease"
Sex chromosome aneuploidies (varying X/Y-chrom dosage) can increase risk for psychopathology, but do these risks vary with age ? This matters for both clinical and mechanistic understanding.
A fab recent trainee - Melissa Roybal - asked these questions in a new paper. This is what she found ... ⬇️
Telltale features visible in standard brain images can reveal how quickly a person is ageing
https://go.nature.com/4kiNEPF
Many thanks to my co-first author @maxwellelliott.bsky.social, Annchen Knodt, our awesome team at Duke and Otago, and my advisors Av Caspi, Terrie Moffitt, and Ahmad Hariri!
We want this measure to be available to the scientific community to help uncover how aging is related to disease, exposure, and interventions.
The algorithm to estimate DunedinPACNI is publicly available at github.com/etw11/Dunedi...
DunedinPACNI is a novel, distinct approach to measuring aging from neuroimaging that can be easily estimated from simple measures from T1 MRI data.
DunedinPACNI tended to explain a bit more variance in clinical outcomes. Notably, this variance did not overlap with brain age gap very much and DunedinPACNI and brain age gap were not very correlated.
Lastly, we wanted to test whether DunedinPACNI was distinct from brain age gap, a neuroimaging biomarker trained on chronological age.
DunedinPACNI’s association with cognitive impairment in BrainLat was similar to that in ADNI, an initial indication of good generalization among people from Latin America.