Brain simulation could provide personalised treatment for major depression

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Major depressive disorder could potentially be treated with a brain implant, according to a proof-of-concept study which revealed how brain activity could be used to deliver personalised treatment for neuropsychiatric disorders. The team personalised brain simulation in a 36-year-old woman with a form of treatment-resistant depression by identifying brain activity that correlated with severe depressive symptoms. Using a commercially available brain implant, they delivered simulation only when this brain activity was detected, and noticed a rapid and sustained improvement in her depression. While further research is required to see if this treatment is applicable to the population, researchers say this is a promising step towards personalised psychiatric treatments.

Media release

From: Springer Nature

1.  Neuroscience: Brain stimulation for treatment-resistant depression *PRESS BRIEFING*

The treatment of severe depression in a single individual using a surgically implanted device that automatically triggers brain electrical stimulation in states of high depression severity is presented in a paper published in Nature Medicine. This proof-of-concept study reveals how brain activity may be used to deliver personalized treatment for neuropsychiatric disorders.

Major depressive disorder is a neuropsychiatric disorder with high rates of treatment resistance. Deep brain stimulation (DBS) — a medical procedure in which implanted electrodes deliver electrical impulses to targeted structures in the brain — is a promising therapy for treatment-resistant depression. However, variability between people in their responses to DBS has contributed to inconsistent findings in clinical trials. Current DBS approaches deliver fixed and constant electrical stimulation to a single brain structure and thus is incapable of responding to variability in a patient’s symptoms. Recent work, however, has shown that the effects of DBS are dependent on the emotional state of the patient.

Katherine Scangos and colleagues demonstrate the feasibility of long-term, personalized brain simulation in a 36-year-old woman with childhood-onset, severe, treatment-resistant depression. The authors first identified specific brain-activity patterns in the patient that closely correlated with the severity of their depressive symptoms. A commercially available implanted neural interface — capable of both sensing brain activity and providing electrical stimulation — was then used to deliver stimulation only when states of high depression severity were detected. This therapy resulted in a rapid and sustained improvement in depression.

Although further research will be needed to determine if these results are generalizable to a broader population, if successful, this approach may be applied to other brain-network disorders to advance personalized treatment for neuropsychiatric conditions.

**Please note that an online press briefing for the paper below will take place UNDER STRICT EMBARGO on Thursday 30  September at 1600 London time (BST) / 1100 US Eastern Time**

Authors Katherine Scangos and Edward Chang will discuss the research. This will be followed by a Q&A session. The participant in this study will also be available to answer questions.

To attend this briefing you will need to pre-register by following the link here. Once you are registered, you will receive an email containing the details for the briefing. You will also be provided with the option to save the details of the briefing to your calendar.

Journal/
conference:
Nature Medicine
Research:Paper
Organisation/s: University of California, USA
Funder: This work was supported by a National Institutes of Health award no. K23NS110962 (K.W.S.), NARSAD Young Investigator grant from the Brain & Behavior Research Foundation (K.W.S.), 1907 Trailblazer Award (K.W.S.) and a Ray and Dagmar Dolby Family Fund through the Department of Psychiatry at UCSF (K.W.S., A.D.K., E.F.C., L.P.S., A.N.K., P.M.S., G.S.M., H.Z., T.X.L., V.R.R., K.K.S. and H.E.D.).
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