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Related Concept Videos

Electroconvulsive Therapy01:30

Electroconvulsive Therapy

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Electroconvulsive therapy (ECT), or shock therapy, remains a critical biomedical intervention for severe, treatment-resistant depression. While its origins can be traced back to Hippocrates' observations that malaria-induced convulsions alleviated mental illness, modern ECT has evolved significantly from its earlier, more primitive applications. First introduced in 1938 by Ugo Cerletti and his colleagues, ECT involves inducing controlled seizures using electrical currents. In its early...
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Brain Imaging01:14

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
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Updated: Sep 5, 2025

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
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Deep Brain Stimulation for Depression.

Martijn Figee1, Patricio Riva-Posse2, Ki Sueng Choi3

  • 1Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, USA. martijn.figee@mssm.edu.

Neurotherapeutics : the Journal of the American Society for Experimental Neurotherapeutics
|July 11, 2022
PubMed
Summary
This summary is machine-generated.

Deep brain stimulation (DBS) shows promise for treatment-resistant depression (TRD), but outcomes vary. Targeting white matter tracts, not just brain regions, may improve patient response and optimize DBS therapy.

Keywords:
Deep brain stimulationDepressionNeuromodulationNeurostimulationTreatment-resistant depression

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Neuromodulation

Background:

  • Deep brain stimulation (DBS) is a therapeutic option for treatment-resistant depression (TRD).
  • Current DBS approaches for TRD yield variable response rates (average 60%) and necessitate extensive parameter optimization.
  • Tractography suggests that targeting white matter tracts, rather than specific grey matter regions, is crucial for antidepressant effects.

Approach:

  • Reviewing the efficacy of various DBS targets for TRD.
  • Investigating the neural networks involved in the therapeutic effects of DBS.
  • Proposing methods to personalize DBS targeting and programming using network insights.

Key Points:

  • DBS efficacy for TRD varies significantly among patients and studies.
  • White matter tract targeting shows potential for improved antidepressant response.
  • Understanding network involvement is key to optimizing DBS parameters.

Conclusions:

  • Personalized DBS targeting based on network connectivity can enhance treatment outcomes for TRD.
  • Integrating network findings into adaptive stimulation and trial designs is essential for future progress.
  • Further research is needed to refine DBS strategies for TRD.