Evidence map›Paper›PMID 25505327›Full record

Trial reportThe Journal of neuroscience : the official journal of the Society for Neuroscience2014

Human subthalamic nucleus in movement error detection and its evaluation during visuomotor adaptation.

Huiling Tan, Baltazar Zavala, Alek Pogosyan, Keyoumars Ashkan, Ludvic Zrinzo, Thomas Foltynie, Patricia Limousin, Peter Brown

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Differential Beta and Gamma Activity Modulation during Unimanual and Bimanual Motor Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Debugging Adaptive Deep Brain Stimulation for Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

Huiling TanExperimental Neurology Group, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom, Huiling.tan@ndcn.ox.ac.uk.
Baltazar ZavalaExperimental Neurology Group, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom.ORCID http://orcid.org/0000-0002-7284-7994
Alek PogosyanExperimental Neurology Group, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom.
Keyoumars AshkanDepartment of Neurosurgery, King's College Hospital, Kings College, London, SE5 9RS, United Kingdom, and.
Ludvic ZrinzoSobell Department of Motor Neuroscience and Movement Disorders, University College London Institute of Neurology, London, WC1 3BG, United Kingdom.
Thomas FoltynieSobell Department of Motor Neuroscience and Movement Disorders, University College London Institute of Neurology, London, WC1 3BG, United Kingdom.
Patricia LimousinSobell Department of Motor Neuroscience and Movement Disorders, University College London Institute of Neurology, London, WC1 3BG, United Kingdom.
Peter BrownExperimental Neurology Group, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom.

Funding

Medical Research Council G0901503
6 · The paper itself

Abstract

Monitoring and evaluating movement errors to guide subsequent movements is a critical feature of normal motor control. Previously, we showed that the postmovement increase in electroencephalographic (EEG) beta power over the sensorimotor cortex reflects neural processes that evaluate motor errors consistent with Bayesian inference (Tan et al., 2014). Whether such neural processes are limited to this cortical region or involve the basal ganglia is unclear. Here, we recorded EEG over the cortex and local field potential (LFP) activity in the subthalamic nucleus (STN) from electrodes implanted in patients with Parkinson's disease, while they moved a joystick-controlled cursor to visual targets displayed on a computer screen. After movement offsets, we found increased beta activity in both local STN LFP and sensorimotor cortical EEG and in the coupling between the two, which was affected by both error magnitude and its contextual saliency. The postmovement increase in the coupling between STN and cortex was dominated by information flow from sensorimotor cortex to STN. However, an information drive appeared from STN to sensorimotor cortex in the first phase of the adaptation, when a constant rotation was applied between joystick inputs and cursor outputs. The strength of the STN to cortex drive correlated with the degree of adaption achieved across subjects. These results suggest that oscillatory activity in the beta band may dynamically couple the sensorimotor cortex and basal ganglia after movements. In particular, beta activity driven from the STN to cortex indicates task-relevant movement errors, information that may be important in modifying subsequent motor responses.

Indexed as

Adaptation, PhysiologicalAgedDeep Brain StimulationFemaleHumansMaleMiddle AgedMotion PerceptionMovementPhotic StimulationPsychomotor PerformanceSubthalamic Nucleusadaptationeffective connectivityinformation flowmovement errorsensorimotor cortexsubthalamic nucleus

Identifiers

PMID25505327
PMCPMC4261099

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.