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Christina Stier
@cstier.bsky.social
PostDoc Systems Neuroscience | Studying M/EEG's at IBB Münster | 🧠 Imaging Genetic Epilepsies at UniMedGöttingen & UKTübingen | 🧬⚡️
61 followers104 following7 posts
CScstier.bsky.social

Our studies aimed to understand which functional parameter should be primarily used in future age-related studies.

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CScstier.bsky.social

There is some work done on mainly structural parameters as you pointed out (see the intro of the manuscript), but to my knowledge, nothing on BAG based on structure+function. Having said that, there is some work out on multimodal integration to predict age as accurately as possible.

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CScstier.bsky.social

Hi Artin, thank you for your suggestion! Not sure if I understood your question correctly but will give it a try :) I think you are referring to brain age gaps (BAG) in some way, i.e. "abnormal" aging.

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CScstier.bsky.social

Many thanks to everyone who contributed and made this work happen - @eliobalestrieri.bsky.social@janafehring.bsky.social@jgross.bsky.social

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CScstier.bsky.social

Temporal autocorrelation emerged as the most robust indicator. This feature captures age-related signal changes, including periodic and aperiodic components, while also being sensitive to the regional waveform shape.

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Reposted by Christina Stier
SBsylvainbaillet.bsky.social
Reposted by Christina Stier
EBeliobalestrieri.bsky.social

Excited to share the first preprint of my postdoc! We explored a novel features space to describe M-EEG timeseries. These features are highly informative in differentiating brain states, even more than canonical features like power in predefined frequency bands! :D www.biorxiv.org/content/10.1...

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Reposted by Christina Stier
KRepanlab.bsky.social
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CS
Christina Stier
@cstier.bsky.social
PostDoc Systems Neuroscience | Studying M/EEG's at IBB Münster | 🧠 Imaging Genetic Epilepsies at UniMedGöttingen & UKTübingen | 🧬⚡️
61 followers104 following7 posts