Cited by 68Neurological disorders and treatmentsMotor Control and AdaptationParkinson's Disease Mechanisms and Treatments

A Common Optimization Principle for Motor Execution in Healthy Subjects and Parkinsonian Patients

Open access
Baraduc, Pierre, Thobois, Stéphane, Gan, Jing, Broussolle, Emmanuel, Desmurget, Michel·2013·The Journal of Neuroscience

Abstract

Recent research on Parkinson's disease (PD) has emphasized that parkinsonian movement, although bradykinetic, shares many attributes with healthy behavior. This observation led to the suggestion that bradykinesia in PD could be due to a reduction in motor motivation. This hypothesis can be tested in the framework of optimal control theory, which accounts for many characteristics of healthy human movement while providing a link between the motor behavior and a cost/benefit trade-off. This approach offers the opportunity to interpret movement deficits of PD patients in the light of a computational theory of normal motor control. We studied 14 PD patients with bilateral subthalamic nucleus (STN) stimulation and 16 age-matched healthy controls, and tested whether reaching movements were governed by similar rules in these two groups. A single optimal control model accounted for the reaching movements of healthy subjects and PD patients, whatever the condition of STN stimulation (on or off). The choice of movement speed was explained in all subjects by the existence of a preset dynamic range for the motor signals. This range was idiosyncratic and applied to all movements regardless of their amplitude. In PD patients this dynamic range was abnormally narrow and correlated with bradykinesia. STN stimulation reduced bradykinesia and widened this range in all patients, but did not restore it to a normal value. These results, consistent with the motor motivation hypothesis, suggest that constrained optimization of motor effort is the main determinant of movement planning (choice of speed) and movement production, in both healthy and PD subjects.

Integrity signals

Registry

Crossref · 10.1523/jneurosci.1482-12.2013

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Baraduc, P., Thobois, S., Gan, J., Broussolle, E., & Desmurget, M.
Affiliations
  • Centre National de la Recherche Scientifique (FR)
  • Université de Lyon (FR)
Venue
The Journal of Neuroscience
Published
2013-01-09
Volume
33
Issue
2
Pages
665-677
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W2069060695
Cited by
68
References
2
Citations by year
2026: 1 · 2025: 5 · 2024: 3 · 2023: 6 · 2022: 6 · 2021: 7 · 2020: 7 · 2019: 6 · 2018: 5 · 2017: 2 · 2016: 6 · 2015: 8 · 2014: 3 · 2013: 3
FWCI
4.23
Type
journal article
Language
en
Open access
Locations
  • Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
Agence Nationale de la Recherche
Topics
  • Health Sciences › Medicine › Neurology › Neurological disorders and treatments
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
  • Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
Keywords
Parkinson's disease, bradykinesia, optimal control, motor design optimization, subthalamic nucleus deep brain stimulation, reaching movements, cost-benefit trade-off, motor planning
MeSH terms
Acceleration, Aged, Algorithms, Antiparkinson Agents, Biomechanical Phenomena, Data Interpretation, Statistical, Female, Humans, Individuality, Isotonic Contraction, Levodopa, Male, Middle Aged, Models, Neurological, Motor Skills, Reaction Time, Hypokinesia, Parkinsonian Disorders, Deep Brain Stimulation, Executive Function

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review