Maximilian Friedrich, vertigologist

A generalized epilepsy network derived from brain abnormalities and deep brain stimulation - Nature Communications Ji et al. identify an idiopathic generalised epilepsy network that links heterogeneously distributed brain abnormalities to a common brain network and deep brain stimulation sites which reduce general...

Is generalized epilepsy a seizure of the whole brain or a specific brain network?

In our new paper out now in @naturecomms.bsky.social, we investigate this by combining brain abnormalities and DBS with the human connectome.

Paper: nature.com/articles/s41...

A 🧵 below:

Best of luck- we’re cheering for ya!

About 12,000 people globally have signed up and the United States and Canada are lagging behind. It is mostly video content and enjoyable. The course closes for feedback analysis and development at the end of March so I challenge you to jump on board.
mooc.utas.edu.au/course/20278...

Computer Vision in Clinical Neurology and AI Augmentation of the Neurological Examination This narrative review outlines recent advances and challenges in technologies arising from computer vision, a branch of artificial intelligence (AI), which has the potential to improve clinical neurol...

Neurologists use videos to augment the clinical examination, and new AI methods promise to transform these videos into granular biomarkers. Here, we review the fascinating past, present and future of AI-powered video analyses in clinical neurology. Enjoy!

jamanetwork.com/journals/jam...

Pretty sure I don‘t have to introduce Andy, so to make it very short: interested in DBS and brain networks? Check out this super exciting new institute in Cologne!

What brain regions are involved in causing psychotic symptoms?

Take a moment away from the existential dread about the future of science, and join me in this summary of some incredibly cool stuff that could help patients!
1/n🧵

Do lesions that cause psychosis fall into a common brain network?

Exciting new work by @andrewpines.bsky.social, @shansiddiqi.bsky.social and colleagues – tweetorial below by the first author, paper here:
jamanetwork.com/journals/jam...

New Center paper out at JAMA psychiatry: jamanetwork.com/journals/jam...

Awesome thread by @andreashorn.org on his recent paper on STN DBS for dystonia. Details a great collaboration and his thought process as the study evolved. @braincircuits.bsky.social

Great thread and interesting work which further supports the idea that axial dystonic symptoms map closer to cerebellar networks. Nicely aligns with old (and some new) lesion and experimental midbrain stim studies

What an impressive list of achievements! Congrats Doug!

How Rare ‘Alice in Wonderland Syndrome’ Warps Reality Researchers are learning what causes Alice in Wonderland syndrome, a rare neurological condition that can appear to warp bodies, time and reality itself

Cool to see our work from @braincircuits.bsky.social featured in @sciam.bsky.social today. Great read on an interesting and bizarre neurological condition.
www.scientificamerican.com/article/how-...

How Rare ‘Alice in Wonderland Syndrome’ Warps Reality Researchers are learning what causes Alice in Wonderland syndrome, a rare neurological condition that can appear to warp bodies, time and reality itself

Wonderful christmas read featuring our network mapping work on Alice in Wonderland syndrome- a bizarre and fascinating perceptual disorder. Kudos @sciam.bsky.social @foxmdphd.bsky.social @braincircuits.bsky.social
www.scientificamerican.com/article/how-...

Spanning spatial scales with functional imaging in the human brain; initial experiences at 10.5 Tesla https://www.biorxiv.org/content/10.1101/2024.12.20.629800v1

I have one of these and can confirm they induce a cathartic experience. Great for grants and life!

Great take. It‘s sometimes bewildering to me just how advanced imaging pipelines are, while at the same time, behavioral assessments are very rudimentary and crude.

I think a fun teaching exercise for medical students would be to each take a common clinical pearl and trace the citations until you find the primary data it's based on.

Showed a glimpse of a new atlas that we're building in Paris yesterday. Pretty excited about it and implications for network modeling.

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It‘s a wrap! Do you have a video database you‘d like to analyze? Feel free to reach out, or DIY as our code is #opensource. Enjoy the read!

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This machine learning framework uncovers latent, but relevant pathosignatures of dystonia. We envision its integration into the modern canon of neuromodulation, neurotechnology and neuroimaging (did I hear dysfunctome?), powering translational & precision Neurology

Finally, data driven analyses of head/neck movements converge on an almost identical feature set across different types of dystonia, supporting the idea that dystonia subtype and severity map onto a "kinematic continuum"

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We also find that phasic (tremulous) and tonic (fixed deviations) dystonia components may map to different circuits. Movement disorders aficionados had this gut feeling for quite a while

We identified a set of clinically-inspired features from full video assessments that provide additional insights into disease severity, subtype & brain stim effects. We found: tremor matters! (but hasn't even been quantified in scores for a long time...)

We develop a visual computer vision framework which extracts a rich, yet intuitively interpretable set of kinematic features of head movement dynamics- from videos taken several years (or decades) ago in 7 different academic centers!

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Paying homage to "medical cinematography", we develop a deep learning framework to evaluate dystonia severity & characterize effects of brain stimulation, using only standard clinical videos! How?!

🧐 Dystonia is a neurological movement disorder characterized by complex, twisting and tremulous movement abnormalities. Clinical scores are simple and easy to administer, but fail to capture the true complexity of the dystonic phenotype.

Head movement dynamics in dystonia: a multi-centre retrospective study using visual perceptive deep learning - npj Digital Medicine npj Digital Medicine - Head movement dynamics in dystonia: a multi-centre retrospective study using visual perceptive deep learning

Can computer vision help us turn clinical videos into quantifiable digital biomarkers of Dystonia? Our recent paper suggests yes! Let‘s recap first.
www.nature.com/articles/s41...

Hypothalamic deep brain stimulation augments walking after spinal cord injury - Nature Medicine Whole-brain anatomical and activity surveys identify the lateral hypothalamus as a key driver of recovery from spinal cord injury, leading to a deep brain stimulation therapy that augments the recover...

Hypothalamic deep brain stimulation augments walking after spinal cord injury (SCI). #NatureMedicine #medsky #scisky

"Targeting specific brain regions to maximize the engagement of spinal cord-projecting neurons in the recovery of neurological functions after SCI."

www.nature.com/articles/s41...

Brain Activity: Unifying networks of a rhythm Combining electrophysiological, anatomical and functional brain maps reveals networks of beta neural activity that align with dopamine uptake.

Combining electrophysiological, anatomical and functional brain maps reveals networks of beta neural activity that align with dopamine uptake.
https://buff.ly/4eQnzET