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Christine Ahrends

@cahrends.bsky.social

Neuroscientist, Junior Research Fellow at Linacre College/FMRIB, University of Oxford Interested in human neuroimaging, brain dynamics, ML & biobanks

8 Posts108 Follower139 Folgt
Christine Ahrends@cahrends.bsky.social · last yr.

I've had a chat with Chris from #TheNakedScientists for the @elife.bsky.social podcast about our new paper "Predicting individual traits from models of brain dynamics accurately and reliably using the Fisher kernel": elifesciences.org/podcast/epis... #neuroskyence

Episode 97: February 2025

In this episode we hear about opioid overdoses, a new technique for studying teamwork in animals, making the most of fMRI data, how childhood adversity blunts the fear response in later life, and the ...

elifesciences.org

eLife@elife.bsky.social · last yr.

🎧 We’re getting pretty neurosciencey with the latest episode of the eLife Podcast. Tune in for a new way to reverse opioid overdose, how to probe team working in animals, predicting behaviours from brain scans, and what our thoughts actually look like…

Christine Ahrends@cahrends.bsky.social · last yr.

Read the short and sweet version of our new paper about predicting from brain dynamics, featured in elife digests magazine: elifesciences.org/digests/9512... #neuroskyence The intuition is that our approach uses a useful projection - like shining a light on an object and looking at its shadow

Predicting individual traits from dynamic brain activity

A combination of machine-learning techniques and more traditional modeling approaches can use the unique patterns of brain activity that evolve over time to predict traits such as age and cognitive ab...

elifesciences.org

Christine Ahrends@cahrends.bsky.social · last yr.

Predicting individual traits from models of brain dynamics: In our new paper with Mark Woolrich & Diego Vidaurre in @elife.bsky.social, we combine a generative model of brain dynamics, here the Hidden Markov Model, with the Fisher kernel to predict individual traits elifesciences.org/articles/95125

Predicting individual traits from models of brain dynamics accurately and reliably using the Fisher kernel

The HMM-Fisher kernel approach leverages individual signatures of brain dynamics for prediction, which can be used, for example, to search for brain dynamics-informed biomarkers of neuropsychiatric di...

elifesciences.org