Closed-loop Deep Brain Stimulation

Closed-Loop Deep Brain Stimulation is a neuromodulation technique that dynamically adjusts stimulation parameters in real time based on continuous neural feedback, distinguishing it from open-loop systems by its responsive, adaptive control of brain activity.

115

Publications

6.4K

Citations

501

Authors

251

Institutions

Publications per year

2017–2026

77

Variants

Adaptive Deep Brain StimulationAdbs

Authors

501

  1. HB
    Helen Brontë‐Stewart

    Stanford University, United States

    10 publications · 527 citations

    10

    h-index

  2. JA
    Jeffrey A. Herron

    University of Wisconsin–Madison, United States

    8 publications · 365 citations

    8

    h-index

  3. HC
    H.J. Chizeck

    University of Washington, United States

    8 publications · 401 citations

    8

    h-index

  4. PB
    Peter Brown

    University College London, United Kingdom

    7 publications · 317 citations

    7

    h-index

  5. WM
    Warren M. Grill

    Duke University, United States

    7 publications · 244 citations

    7

    h-index

1–5 of 501

Venues

  1. Frontiers in Neuroscience

    12 publications · 671 citations

    12

    h-index

  2. Scientific Reports

    6 publications · 367 citations

    6

    h-index

  3. Journal of Neural Engineering

    6 publications · 238 citations

    6

    h-index

  4. PLoS Computational Biology

    4 publications · 243 citations

    4

    h-index

  5. Frontiers in Human Neuroscience

    4 publications · 116 citations

    4

    h-index

1–5