2023
233 citations Research paper

Cingulate dynamics track depression recovery with deep brain stimulation

Sankaraleengam Alagapan, Ki Sueng Choi, Stephen Heisig, Patricio Riva‐Posse, Andrea Crowell, Vineet Tiruvadi,

Summary & key facts

Researchers tested deep brain stimulation (DBS) in a small group of people whose depression did not get better with usual treatments. They used an implanted device that both delivered stimulation to the subcallosal cingulate (a brain area linked to mood) and recorded brain electrical signals. Around 9 out of 10 people showed a strong clinical response after 24 weeks, and about 7 out of 10 went into remission. The team used a transparent computer method to find a brain-signal pattern that tracked each person's recovery, and this pattern matched brain wiring and facial-expression changes. The results suggest these objective brain signals could help guide future, more personalized DBS care, but the findings are from a small group and need more study.

Key facts:
  • Ten people with depression that hadn't improved with usual treatments received DBS to a brain area called the subcallosal cingulate.
  • The study lasted 24 weeks, and about 9 out of 10 people showed a strong clinical improvement by the end.
  • About 7 out of 10 people reached remission, meaning their symptoms fell below a clinical threshold.
  • The implanted device recorded brain electrical activity called local field potentials in 6 people, which are short-range brain voltage signals near the stimulation site.
  • Researchers used an explainable computer algorithm (a method that can show why it makes a decision) to find changes in those brain signals that matched each person's current clinical state.
  • The identified brain-signal biomarker was different from short-lived effects of stimulation and changed when doctors adjusted therapy, suggesting it tracked real recovery rather than momentary mood swings.
  • How quickly and fully people recovered was linked to how much preoperative damage there was to the brain wiring and to how well brain regions were connected before surgery.
  • Objective facial-expression changes, measured by automated video analysis, matched the brain and clinical measures, giving a behavioral sign that agreed with the brain signal.
  • Because the study had a small number of participants and only six provided the detailed brain recordings, the findings are promising but need confirmation in larger studies.

Abstract

Deep brain stimulation (DBS) of the subcallosal cingulate (SCC) can provide long-term symptom relief for treatment-resistant depression (TRD)1. However, achieving stable recovery is unpredictable2, typically requiring trial-and-error stimulation adjustments due to individual recovery trajectories and subjective symptom reporting3. We currently lack objective brain-based biomarkers to guide clinical decisions by distinguishing natural transient mood fluctuations from situations requiring intervention. To address this gap, we used a new device enabling electrophysiology recording to deliver SCC DBS to ten TRD participants (ClinicalTrials.gov identifier NCT01984710). At the study endpoint of 24 weeks, 90% of participants demonstrated robust clinical response, and 70% achieved remission. Using SCC local field potentials available from six participants, we deployed an explainable artificial intelligence approach to identify SCC local field potential changes indicating the patient's current clinical state. This biomarker is distinct from transient stimulation effects, sensitive to therapeutic adjustments and accurate at capturing individual recovery states. Variable recovery trajectories are predicted by the degree of preoperative damage to the structural integrity and functional connectivity within the targeted white matter treatment network, and are matched by objective facial expression changes detected using data-driven video analysis. Our results demonstrate the utility of objective biomarkers in the management of personalized SCC DBS and provide new insight into the relationship between multifaceted (functional, anatomical and behavioural) features of TRD pathology, motivating further research into causes of variability in depression treatment.

Topics

Functional Brain Connectivity Studies Neurological disorders and treatments Transcranial Magnetic Stimulation Studies

Categories

Health Sciences Medicine Neurology

Tags

Biochemistry Biology Biomarker Brain stimulation Clinical trial Deep brain stimulation Depression (economics) Disease Economics Internal medicine Macroeconomics Magnetic resonance imaging Major depressive disorder Medicine Mood Neuroimaging Neuroscience Parkinson's disease Physical medicine and rehabilitation Psychiatry Psychology Radiology Stimulation Treatment-resistant depression White matter

Conditions & symptoms

Depression Lack of energy or motivation Sadness or low mood
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Written by: Clara Bennett