Lukas Goede
@lukasgoede.bsky.social
710 followers 400 following 44 posts
Neuroscientist @ Brigham & Women's Hospital, Harvard Medical School | @netstim.org | Neurology resident | Interested in deep brain stimulation, non-invasive brain stimulation and movement disorders
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lukasgoede.bsky.social
What might the future of deep brain stimulation look like?

Not just continuous stimulation, but decoding symptoms in real time and directing stimulation to the right brain circuits.

Fascinating perspective article by @andreashorn.org & @julianneumann.bsky.social in @natrevneurol.nature.com:
andreashorn.org
In #DeepBrainStimulation

the two major developments across the last decade have been

1. Adaptive DBS and
2. Connectomic DBS

In a @natrevneurol.nature.com article with @julianneumann.bsky.social, we ask:

Could the two be united into a common framework?

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

A 🧵
Reposted by Lukas Goede
foxmdphd.bsky.social
Is there a shared brain circuit target for tremor that transcends diagnosis and DBS site? New work by @lukasgoede.bsky.social @andreashorn.org @braincircuits.bsky.social says YES
lukasgoede.bsky.social
Tremor is a common symptom across many neurological disorders.

But is there a shared tremor circuit across disorders - one that could guide treatment, regardless of diagnosis?

We think: yes.

Our study is out now in @natcomms.nature.com:

🔗 www.nature.com/articles/s41...

🧵 A thread.
lukasgoede.bsky.social
And of course, institutions like Brigham and Women’s Hospital, Boston, and Charité - Universitätsmedizin Berlin, providing the environment that made this work possible.
lukasgoede.bsky.social
Projects like this are only possible thanks to strong research support.

Grateful for funding from the Thiemann Parkinson Foundation, @dfg.de, and many others who made this work possible - not just for the project, but personally for me as well.
lukasgoede.bsky.social
Special thanks to @andreashorn.org and @foxmdphd.bsky.social for their mentorship at the @braincircuits.bsky.social, BWH.

This was a long-term project developed under @andreashorn.org's guidance, and I couldn’t be more grateful that it marks the conclusion of my time in Boston.
lukasgoede.bsky.social
Thank you to patients, collaborators and coauthors who made this project possible!

To mention just a few colleagues who are here on BlueSky:
@patriciazvarova.bsky.social @bahnebahners.bsky.social @emiddlebrooksmd.bsky.social @jjoutsa.bsky.social @foxmdphd.bsky.social @andreashorn.org

@netstim.org
lukasgoede.bsky.social
We also provide a literature overview of a key structure consistently associated with tremor improvement:
👉 the dentato-rubro-thalamic tract (DRT).

The best DBS outcomes align closely with its trajectory - regardless of target or disorder.
lukasgoede.bsky.social
We added extensive supplementary material, including a review on:
👉 What influences outcomes after DBS?
lukasgoede.bsky.social
Of course, there are limitations.

We combined diverse datasets and methods - adding variability.
But this heterogeneity was deliberate, to build a more robust and generalizable network.

And while correlational analysis, the convergence of lesions, DBS, and EMG-fMRI supports causal insight.
lukasgoede.bsky.social
So what do we take away from all this?

✅ Different forms of tremor share a common brain network
✅ DBS likely works by modulating this circuit
✅ STN, VIM, GPi may all be access points to the same network
✅ This opens the door to symptom-specific neuromodulation - both invasive and noninvasive
lukasgoede.bsky.social
And yes - indeed.

Connectivity between GPi-DBS electrodes and the convergent tremor map explained significant variance in clinical outcomes.
lukasgoede.bsky.social
We then integrated all maps - lesions, atrophy, fMRI, and DBS - into a multimodal tremor network map.

The key test:
Could this convergent map explain tremor outcomes in a new, independent cohort: Parkinson's disease patients with GPi-DBS?
lukasgoede.bsky.social
To power these analyses, we created a new, high-resolution normative connectome:
🧠 Based on resting-state fMRI from 1,087 healthy subjects (HCP), 2 mm isotropic voxels

We also replicated results using a Parkinson’s disease-specific connectome from the PPMI cohort. Findings held up across datasets.
lukasgoede.bsky.social
Building on these data, we analyzed two different DBS patient cohorts:

• Parkinson’s disease patients with subthalamic DBS
• Essential tremor patients with thalamic DBS

Outcome maps from each group could explain outcomes in the other.

Disorder-independent. Target-independent.
lukasgoede.bsky.social
Another key step was to collaborate with Rick Helmich.

We incorporated a map from the well-known dimmer-switch model of tremor, based on EMG-fMRI:
🔗 academic.oup.com/brain/articl...

Once again, the same core regions emerged:
- Motor cortex
- Motor cerebellum

Three paths. One destination.
lukasgoede.bsky.social
We found: the stronger the connection between a DBS site and this lesion-derived network, the better the tremor relief - even across different disorders.
lukasgoede.bsky.social
We asked a simple question:

Does a shared tremor treatment network exist across diseases and deep brain stimulation (DBS) targets?

To find out, we combined four independent modalities:
🧠 Lesions
🧠 Atrophy
🧠 EMG-fMRI
🧠 DBS outcomes
lukasgoede.bsky.social
Tremor is a common symptom across many neurological disorders.

But is there a shared tremor circuit across disorders - one that could guide treatment, regardless of diagnosis?

We think: yes.

Our study is out now in @natcomms.nature.com:

🔗 www.nature.com/articles/s41...

🧵 A thread.
lukasgoede.bsky.social
Of course: this is a small sample and an exploratory analysis.

But this cohort is rare: patients who received all three interventions: tDCS, levodopa challenge, and DBS.

That makes these findings hypothesis-generating and worth building on.
lukasgoede.bsky.social
Here’s the interesting part:

When we combined both tDCS and levodopa responses in a linear model, they jointly explained a significant amount of the variance in DBS outcomes.
lukasgoede.bsky.social
So we asked, in our cohort:
(i) Does the levodopa response predict DBS outcome?
(ii) Does it correlate with the tDCS response?

The trends were there - but in this small sample (N = 10), neither reached significance on its own.