[HTML][HTML] Opportunities of connectomic neuromodulation

A Horn, MD Fox - Neuroimage, 2020 - Elsevier
The process of altering neural activity–neuromodulation–has long been used to treat
patients with brain disorders and answer scientific questions. Deep brain stimulation in …

Advances in technical aspects of deep brain stimulation surgery

M Schulder, A Mishra, A Mammis, A Horn… - Stereotactic and …, 2023 - karger.com
Background: Deep brain stimulation has become an established technology for the
treatment of patients with a wide variety of conditions, including movement disorders …

Therapies to restore consciousness in patients with severe brain injuries: a gap analysis and future directions

BL Edlow, LRD Sanz, L Polizzotto, N Pouratian… - Neurocritical care, 2021 - Springer
Abstract Background/Objective For patients with disorders of consciousness (DoC) and their
families, the search for new therapies has been a source of hope and frustration. Almost all …

Evaluation of methodologies for computing the deep brain stimulation volume of tissue activated

G Duffley, DN Anderson, J Vorwerk… - Journal of neural …, 2019 - iopscience.iop.org
Objective. Computational models are a popular tool for predicting the effects of deep brain
stimulation (DBS) on neural tissue. One commonly used model, the volume of tissue …

Structural connectivity predicts clinical outcomes of deep brain stimulation for Tourette syndrome

KA Johnson, G Duffley, DN Anderson, JL Ostrem… - Brain, 2020 - academic.oup.com
Deep brain stimulation may be an effective therapy for select cases of severe, treatment-
refractory Tourette syndrome; however, patient responses are variable, and there are no …

StimFit—a data‐driven algorithm for automated deep brain stimulation programming

J Roediger, TA Dembek, G Wenzel… - Movement …, 2022 - Wiley Online Library
Background Finding the optimal deep brain stimulation (DBS) parameters from a multitude
of possible combinations by trial and error is time consuming and requires highly trained …

[HTML][HTML] Neural selectivity, efficiency, and dose equivalence in deep brain stimulation through pulse width tuning and segmented electrodes

CJ Anderson, DN Anderson, SM Pulst, CR Butson… - Brain stimulation, 2020 - Elsevier
Background Achieving deep brain stimulation (DBS) dose equivalence is challenging,
especially with pulse width tuning and directional contacts. Further, the precise effects of …

[HTML][HTML] FastField: An open-source toolbox for efficient approximation of deep brain stimulation electric fields

M Baniasadi, D Proverbio, J Gonçalves, F Hertel… - Neuroimage, 2020 - Elsevier
Deep brain stimulation (DBS) is a surgical therapy to alleviate symptoms of certain brain
disorders by electrically modulating neural tissues. Computational models predicting electric …

Automated optimization of deep brain stimulation parameters for modulating neuroimaging-based targets

M Malekmohammadi, R Mustakos… - Journal of neural …, 2022 - iopscience.iop.org
Objective. Therapeutic efficacy of deep brain stimulation (DBS) in both established and
emerging indications, is highly dependent on accurate lead placement and optimized …

Home health management of Parkinson disease deep brain stimulation: a randomized clinical trial

G Duffley, BJ Lutz, A Szabo, A Wright, CW Hess… - JAMA …, 2021 - jamanetwork.com
Importance The travel required to receive deep brain stimulation (DBS) programming
causes substantial burden on patients and limits who can access DBS therapy. Objective To …