ReviewSurgical neurology international2026
Local field potential biomarkers for adaptive deep brain stimulation in Parkinson's disease: A scoping review.
Review in Surgical neurology international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Parkinson's disease (PD) is the second most common neurodegenerative disorder in the elderly. Conventionally, to combat the symptoms, drugs such as Levodopa and conventional deep brain stimulation (DBS) are routinely used. However, with time, the efficiency of both treatment modalities wears off and accompany side effects. Advocating for the need to explore subsequent management options such as adaptive DBS (aDBS) - a tailor-made DBS promising more personalized and favorable outcomes. The main objective of this review was to explore local field potentials (LFPs) as biomarkers for aDBS in PD. In addition, to investigate any correlations between the LFPs biomarkers, their physiology, and how they affect the quality of aDBS. Methods: A literature search was conducted using two primary electronic databases, PubMed and Scopus, which were examined from 2005 to April 2026. The inclusion criteria were set as LFPs within the DBS framework, focusing on biomarkers such as beta, gamma, phase-amplitude coupling (PAC), or oscillatory activity in PD. A narrative data synthesis was conducted to chart and summarize the main findings from the included studies. Results: A total of 73 articles were included in this review. Suppression of exaggerated beta-band oscillations (13- 35 Hz) consistently correlated with improved motor performance and emerged as the most validated feedback signal for adaptive stimulation. Gamma oscillations demonstrated an emerging role in differentiating motor states, while PAC and other low-frequency oscillations remain exploratory, showing promise for integration with multimodal systems. Based on accumulated evidence, biomarkers were categorized into three tiers: Established (beta-band activity), emerging (gamma oscillations), and exploratory (PAC and others). Conclusion: Although DBS has shown marked improvement in symptoms, LFP-based aDBS represents a future toward personalized, precise, and adaptive treatment for PD; clinical usage of aDBS requires standardization and broader validation.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.