Precision Neurotherapeutics Lab @ Stanford
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stanfordpntlab.bsky.social
Precision Neurotherapeutics Lab @ Stanford
@stanfordpntlab.bsky.social
380 followers 570 following 53 posts
Deconstructing brain stimulation tools to build personalized treatments for mental health disorders. precisionneuro.stanford.edu
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Hello BlueSky community! 🦋👋 We're the Stanford Precision Neurotherapeutics Lab 🧠

Dedicated to advancing neuroscience by deconstructing brain stimulation to build personalized treatments for mental health disorders 🚀

Check out our work and learn more about us!
🔗 precisionneuro.stanford.edu (1/2)
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Explore Precision Neurotherapeutics Lab at Stanford, dedicated to advancing neurotechnology and computational methods for precision health. Discover our interdisciplinary research and collaborations a...
precisionneuro.stanford.edu
Reposted by Precision Neurotherapeutics Lab @ Stanford
🧠 We are #hiring! Postdoc @stanfordmedicine.bsky.social: help us develop closed-loop EEG platforms to improve TMS treatment for depression! Coding and neuroscience / engineering backgrounds required. Join our team! precisionneuro.stanford.edu email: ckeller1@stanford.edu
Reposted by Precision Neurotherapeutics Lab @ Stanford
Reposted by Precision Neurotherapeutics Lab @ Stanford
🧠 NEW PAPER: How do we capture excitability noninvasively in mood and emotion networks in the human brain? Here, we used real-time optimization to improve these measures!
@sparmi.bsky.social @stanfordpntlab.bsky.social @clinicalneuroph.bsky.social doi.org/10.1016/j.clinph.2025.02.261 1/7
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Interested in learning more? Read the full paper in Clinical Neurophysiology! doi.org/10.1016/j.cl... 5/7
doi.org
Key findings: Optimization reduced artifacts by 63% and increased early local TMS-evoked potentials (EL-TEPs), a measure of prefrontal excitability, by 75%! #EEG #TMS #TMSEEG 4/7
We introduce a novel method for optimizing TMS parameters in the dlPFC. Based on EEG responses, this closed-loop procedure optimizes TMS coil angle, location, and intensity in real time. 3/7
Why is this important? The dlPFC is a depression treatment target, but we need clinic-ready ways to measure stimulation effects. TMS-EEG can help, but artifacts obscure responses. 2/7
🧠 NEW PAPER: How do we capture excitability noninvasively in mood and emotion networks in the human brain? Here, we used real-time optimization to improve these measures!
@sparmi.bsky.social @stanfordpntlab.bsky.social @clinicalneuroph.bsky.social doi.org/10.1016/j.clinph.2025.02.261 1/7
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This builds on influential work by
@foxmdphd.bsky.social
@shansiddiqi.bsky.social
@desmondoathes.bsky.social and many others. It would not have been possible without the support of UIowa, Stanford, and generous funding from the NIH/NIMH.

reposted from @esolomon.bsky.social
Bluesky
es.bsky.social
It’s important to be clear that we only had two neurosurgical patients to test these effects, so these findings need replication. But these data so far seem to align with a major hypothesis in the field: DLPFC TMS specifically alters population-level neural activity in the sgACC. 5/
We were surprised to find that, despite anticorrelated HFA signals, TMS seemed to increase phase-locking in lower frequencies (alpha and theta) between sgACC-DLPFC. Could this be a mechanism by which the DLPFC influences sgACC activity? 4/
HFA signal in the sgACC was inversely correlated with HFA signal in the DLPFC, meaning that as DLPFC activity increased following TMS, sgACC activity decreased. This mirrors what we’ve known from fMRI for a long time, but now shown with direct in-vivo measures of neural activity. 3/
Stimulation to the DLPFC may tamp down an overactive sgACC and relieve symptoms of depression. By stimulating the DLPFC with TMS in two neurosurgical patients with electrodes implanted within the sgACC, we found a reduction in high-frequency neural activity – a correlate of population spiking. 2/
🚨 New paper alert! Congratulations to the team on getting their paper accepted to @clinicalneuroph.bsky.social 🥳👏

@sparmi.bsky.social @chrisclineneuro.bsky.social @juhagogulski.bsky.social @jessicamross8.bsky.social @coreykeller.bsky.social

Read more below 👇 @stanfordbrain.bsky.social
🧠 NEW PAPER: How do we capture excitability noninvasively in mood and emotion networks in the human brain? Here, we used real-time optimization to improve these measures!
@saraparmi @KellerStanfordU @ClinicalNeuroph doi.org/10.1016/j.clinph.2025.02.261 1/7
Reposted by Precision Neurotherapeutics Lab @ Stanford
Congrats to our 2025 Neuroscience:Translate awardees! Their projects support brain imaging and stimulation technologies to improve depression treatment, broaden access to TMS therapy, and advance methods for imaging inflammation in the brain.

Learn more: neuroscience.stanford.edu/news/brain-i...
🚀 Exciting week at #BrainStimConf in Japan 🇯🇵!

@coreykeller.bsky.social @juhagogulski.bsky.social & @chrisclineneuro.bsky.social are presenting on #TMSEEG, plasticity & precision neuromodulation 🧠⚡

See the full lineup below! 📸✨ @stanfordmedicine.bsky.social #neuroscience
🧠 We are #hiring! Postdoc @stanfordmedicine.bsky.social: help us develop closed-loop EEG platforms to improve TMS treatment for depression! Coding and neuroscience / engineering backgrounds required. Join our team! precisionneuro.stanford.edu email: ckeller1@stanford.edu
Reposted by Precision Neurotherapeutics Lab @ Stanford
1/10 🧠 We need better ways to measure brain excitability in psychiatric disorders. The prefrontal cortex—key target for brain stimulation treatments—is particularly hard to assess. Our new studies tackle this with systematic mapping! bit.ly/4cjHknX & bit.ly/3PW8RCx
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8/9 🔑 Key takeaways:
• Careful target selection boosts early TMS-evoked signals in dlPFC
• Most dlPFC areas can produce reliable TMS-evoked signals with optimized analysis

This work advances early TMS-evoked EEG signal as a potential biomarker for depression! #depression