Evidence map›Paper›PMID 37285747›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2023

Clinical neurophysiological interrogation of motor slowing: A critical step towards tuning adaptive deep brain stimulation.

Laura Alva, Elena Bernasconi, Flavie Torrecillos, Petra Fischer, Alberto Averna, Manuel Bange, Abteen Mostofi, Alek Pogosyan, Keyoumars Ashkan, Muthuraman Muthuraman and 4 more

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Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Advanced Therapeutics in Parkinson's Disease: What's New?Current neurology and neuroscience reports · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Finely Tuned γ Tracks Medication Cycles in Parkinson's Disease: An Ambulatory Brain-Sense Study.Movement disorders : official journal of the Movement Disorder Society · 2025
    Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Laura AlvaDepartment of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland.
Elena BernasconiDepartment of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland.
Flavie TorrecillosMRC Brain Network Dynamics Unit, University of Oxford, Oxford, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Petra FischerSchool of Physiology, Pharmacology & Neuroscience, University of Bristol, University Walk, BS8 1TD Bristol, United Kingdom.
Alberto AvernaDepartment of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland.
Manuel BangeMovement Disorders and Neurostimulation, Department of Neurology, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Abteen MostofiNeurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George's, University of London, London SW17 0RE, United Kingdom.
Alek PogosyanMRC Brain Network Dynamics Unit, University of Oxford, Oxford, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Keyoumars AshkanDepartment of Neurosurgery, King's College Hospital, King's College London, SE59RS, United Kingdom.
Muthuraman MuthuramanMovement Disorders and Neurostimulation, Department of Neurology, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Sergiu GroppaMovement Disorders and Neurostimulation, Department of Neurology, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Erlick A PereiraNeurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George's, University of London, London SW17 0RE, United Kingdom.
Huiling TanMRC Brain Network Dynamics Unit, University of Oxford, Oxford, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Gerd TinkhauserDepartment of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland. Electronic address: gerd.tinkhauser@insel.ch.

Funding

Department of HealthMedical Research Council MC_UU_00003/2Medical Research Council MR/P012272/1Medical Research Council MR/V00655X/1
6 · The paper itself

Abstract

objectiveSubthalamic nucleus (STN) beta activity (13-30 Hz) is the most accepted biomarker for adaptive deep brain stimulation (aDBS) for Parkinson's disease (PD). We hypothesize that different frequencies within the beta range may exhibit distinct temporal dynamics and, as a consequence, different relationships to motor slowing and adaptive stimulation patterns. We aim to highlight the need for an objective method to determine the aDBS feedback signal.

methodsSTN LFPs were recorded in 15 PD patients at rest and while performing a cued motor task. The impact of beta bursts on motor performance was assessed for different beta candidate frequencies: the individual frequency strongest associated with motor slowing, the individual beta peak frequency, the frequency most modulated by movement execution, as well as the entire-, low- and high beta band. How these candidate frequencies differed in their bursting dynamics and theoretical aDBS stimulation patterns was further investigated.

resultsThe individual motor slowing frequency often differs from the individual beta peak or beta-related movement-modulation frequency. Minimal deviations from a selected target frequency as feedback signal for aDBS leads to a substantial drop in the burst overlapping and in the alignment of the theoretical onset of stimulation triggers (to ∼ 75% for 1 Hz, to ∼ 40% for 3 Hz deviation).

conclusionsClinical-temporal dynamics within the beta frequency range are highly diverse and deviating from a reference biomarker frequency can result in altered adaptive stimulation patterns. SIGNIFICANCE: A clinical-neurophysiological interrogation could be helpful to determine the patient-specific feedback signal for aDBS.

Indexed as

Deep Brain StimulationParkinson DiseaseSubthalamic NucleusCuesHumansMovementAdaptive deep brain stimulationBasal GangliaClosed-loop DBSDBS programmingLocal field potentialsParkinson’s disease

Identifiers

PMID37285747
PMCPMC7615935

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Registered trials

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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.