ArticleJournal of neurophysiology2019
Coherence: a unifying mechanism of deep brain stimulation.
Article in Journal of neurophysiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Deep Brain Stimulation: Overview and Applications in the Context of Neuropsychiatric Conditions.Cureus · 2025Review
- DBS in the restoration of motor functional recovery following spinal cord injury.Frontiers in neurology · 2024Review
- Efficient suppression of parkinsonian beta oscillations in a closed-loop model of deep brain stimulation with amplitude modulation.Frontiers in human neuroscience · 2022Article
- Simulation of Closed-Loop Deep Brain Stimulation Control Schemes for Suppression of Pathological Beta Oscillations in Parkinson's Disease.Frontiers in neuroscience · 2020Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Deep brain stimulation is a powerful neurostimulation technique that proved its efficacy in treating a group of neurological diseases. Several scientific works tried to understand the mechanism of action of deep brain stimulation. Wang et al. ( J Neurosci 38: 4556-4568, 2018) demonstrated new evidence on the role of interregional neuro-oscillatory coherence as a promising model to explain mechanism the of deep brain stimulation.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.