Impressive results from AtaiBeckley re BPL-003 (5-MeO-DMT) in TRD: 76% remission after just 2 doses (8mg+12mg) after 2 mo. in Ph2B...
Impressive results from AtaiBeckley re BPL-003 (5-MeO-DMT) in TRD: 76% remission after just 2 doses (8mg+12mg) after 2 mo. in Ph2B. Higher remission than other interventional psychiatry tx such as accelerated TMS, quicker (and lasting) remission and requiring less time.
Use of 8mg+8mg in prospective Ph3 study (instead of 8+12mg) at odds with data (see figure). Use of 4mg as a control also sounds risky, might lack 'dose-response' effects.
#5-MeO-DMT #Psychedelics
Just out: New Consensus Statement: Maintenance rTMS for Depression (Netherlands & Belgium). Congrats Iris Dalhuisen for leading th...
Just out: New Consensus Statement: Maintenance rTMS for Depression (Netherlands & Belgium). Congrats Iris Dalhuisen for leading this effort.
📄 Full article: https://lnkd.in/eR2GfZKZ
Acute rTMS is now firmly embedded in treatment guidelines for depression.
But what about after response?
In the newly published consensus statement in Transcranial Magnetic Stimulation, we systematically reviewed 22 studies and combined this with expert panel discussions and real-world survey data from Dutch and Belgian centers.
Key insights:
• Clear differentiation between tapering, maintenance rTMS, and retreatment
• Tapering may reduce early relapse risk
• Monthly clustered protocols (5 sessions over 2–5 days) show the most consistent signal of benefit
• Single-session maintenance shows mixed evidence
• Retreatment is effective in the majority of prior responders, often requiring fewer sessions
• Strong emphasis on patient monitoring and shared decision-making
Importantly, evidence remains limited and largely uncontrolled, underscoring the need for properly powered RCTs comparing maintenance strategies.
This paper aims to bring structure to a field where clinical practice has outpaced the evidence.
If you are working with rTMS and struggling with the “what next after remission?” question, this may be relevant to your practice.
Congrats Neumarker Inc. team with the lead for TDBRAIN diagnostic status prediction! Also... an invitation to all 'AI/ML' speciali...
Congrats Neumarker Inc. team with the lead for TDBRAIN diagnostic status prediction! Also... an invitation to all 'AI/ML' specialists, if you can do magic with information rich brain time-series data such as EEG, have a crack at the data!
See here for more information: https://lnkd.in/eseDiM9p
Great to see this out! Congrats Lena Kozyr and Stanford Brain Stimulation Lab!
Great to see this out! Congrats Lena Kozyr and Stanford Brain Stimulation Lab!
Fostering robustness and reproducibility in applied neuroscience and AI/ML!
Fostering robustness and reproducibility in applied neuroscience and AI/ML!
Just came back from Palestine and really enjoyed training the UEF teams from Betlehem and Nablus on the use of TMS in mental healt...
Just came back from Palestine and really enjoyed training the UEF teams from Betlehem and Nablus on the use of TMS in mental health. We also donated two TMS systems for use in Bethlehem and Nablus, which makes it the first TMS available in Palestine!
Big thanks also to Alexander Sack for donating a TMS machine and Trevor Brown, Klaus Schellhorn, DEYMED Diagnostic and others for support.
The initiative was made possible in collaboration with Dr Asad, Daniel Kropf and Education for Life.
Kirby Wraith's method became #1 (by a margin) on the main leader board in benchmarking EEG-analysis algorithms to predict depressi...
Kirby Wraith's method became #1 (by a margin) on the main leader board in benchmarking EEG-analysis algorithms to predict depression status https://lnkd.in/gEaSuk57 . Super proud with Chirath Hettiarachchi as Supervisors at ANU School of Computing, ANU College of Systems & Society, The Australian National University to see our honours student shine!
Congrats Kirby Wraith from The Australian National University with the #1 position at the TDBRAIN Challenge for replicated diagnos...
Congrats Kirby Wraith from The Australian National University with the #1 position at the TDBRAIN Challenge for replicated diagnostic predicton accuracy for Depression using EEG data only at a 62% balanced accuracy!
Many AI and ML studies suggest 'unrealistic' 90+% accuracies, all without proper out-of-sample replications. This was our main driver to release the open-access EEG database TDBRAIN including more then 1200 EEGs and rich phenotype data. Glad to see a first diagnostic replication with a realistic accuracy.
For full details see here: https://lnkd.in/eseDiM9p
A new successful replication in the TDBRAIN challenge by Wei Wu and Yonghao Song in predicting TMS Response from EEG! Some time ag...
A new successful replication in the TDBRAIN challenge by Wei Wu and Yonghao Song in predicting TMS Response from EEG!
Some time ago we released the open-access data repository TDBRAIN containing more than 1200 EEG's and rich phenotype data on ADHD, MDD and OCD, and also include 'blinded' cases for out-of-sample validation. The results show it is not easy to get a succesful out-of-sample replication, but glad to see some groups do!
Let's focus on a future of robustness that can truly benefit patients!
https://lnkd.in/eseDiM9p
