Shammi More

PhD. in Neuroscience

[Eliana Nicolaisen @nicolaisen_eli]

Come to to my poster if you are interested in the link between cardiometabolic health, brain structure, and neurotransmitter systems!
Poster 2086 #OHBM
ePoster: https://t.co/hpQq7oT4fJ
BioRxiv: https://t.co/r6VUIn64zF

[Princeton University Press @PrincetonUPress]

Now available, Data Science for Neuroimaging by @arokem & Tal Yarkoni provides data science methods & tools—including programming, data management, visualization, & machine learning—& their application to neuroimaging research.

Learn more:
https://t.co/ya1MK1E658 #DataScience

[Simon Eickhoff @INM7_ISN]

Shammi More presenting a tour-de-force on evaluating BrainAge approaches @OHBM

From CV performance to generalization, reliability and pathology

Workflow choices have a substantial influence and may impact downstream analyses.

Visit posters 39 & 81 to learn more

[Simon Eickhoff @INM7_ISN]

Differences between women 👩‍💼and men 👨 and how they are they modulated menstrual cycle 📆

Check out poster 738 and talk to Svenja Küchenhoff about the ‚little differences‘

[Simon Eickhoff @INM7_ISN]

Little brain, little critters

If you are interested in the cerebellum, poster 772 is a must-see. Neville Margliese investigated cerebellum vs cerebrum (co-) evolution

[Simon Eickhoff @INM7_ISN]

🔥 Lots of exciting posters by our wonderful students up @OHBM #OHBM2022 today 🔥

Is TFCE thresholding a good alternative to cluster-level inference in meta-analyses? Be sure to meet Lennart at poster 488 and chat with him on new developments in ALE

More posters ⤵️

[Simon Eickhoff @INM7_ISN]

At poster 81 Sami Hamdan presents JuLearn, a user-friendly environment for machine-learning on neuroimaging. Particularly interesting for those getting into the field!

Sami will be a person to discuss confounds in individual prediction, too.

[Simon Eickhoff @INM7_ISN]

Is this right? Find out at poster 697

Patrick Friedrich showing fascinating data on hemispheric asymmetry in humans 🧑‍🦱and chimps 🐒

[Simon Eickhoff @INM7_ISN]

Lots of great work on BrainAge here in Glasgow!

But are these methods actually stable? How much do pipeline parameters matter?

If you dare to find out, visit Shammi More at poster 39

[Sami Hamdan @SaHamPy]

Great opportunity:
I can highly recommend the INM-7 Applied Machine learning group!

[The LAB Lab 🏳️‍🌈🏳️‍⚧️ @thelablab]

Our 'Naturalistic Neuroimaging Database' (NNDb v1) is ready to use. Eighty-six people did a battery of behavioural tests and watched one of 10 full-length #movies during #fMRI. That's 46,249,600,000 voxels or 6.69 days worth of data to play with. 🥳

See: https://t.co/1tMWGT6TfO

[Simon Eickhoff @INM7_ISN]

Annual retreat of the INM-7 @fz_juelich and the Institute of Systems Neuroscience @HHU_de.

Happy and proud to work with such an amazing group of people. The best is yet to come!