The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Motor sequence learning and movement disorders
Abstract
PURPOSE OF REVIEW: New insights into the psychophysiological determinants of performance changes and brain plasticity associated with motor sequence learning have recently been gained through behavioral and imaging studies in healthy individuals. In addition, using a variety of motor sequential paradigms in groups of patients affected by a movement disorder, major advances have been achieved in our understanding of the pathophysiological mechanisms underlying Parkinson's and Huntington's diseases, as well as primary forms of dystonia. RECENT FINDINGS: This review begins by describing the latest findings in normal participants with regards to the dynamic alterations in neural networks observed across the different phases of motor sequence learning. It then focuses on the hotly debated issue of motor memory consolidation, highlighting the results of novel studies that investigated the role of both day and night sleep, the neural substrates and the developmental evolution mediating this process. Finally, this paper addresses current work looking at motor sequence learning in movement disorders that helps to better comprehend the functional contribution of basal ganglia structures to this type of memory, to assess the impact of such diseases on related patterns of brain activation, as well as to identify the neuronal compensatory mechanisms educed by these basal ganglia disorders. SUMMARY: Such advances have major implications, not only for optimizing ways to learn new skilled behaviors in real-life situations, but also for guiding therapeutic approaches in patients with movement disorders.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Practice with Sleep Makes Perfect
Walker, M. P., Brakefield, T., Morgan, A., Hobson, J. A., & Stickgold, R. (2002) · Neuron · doi:10.1016/s0896-6273(02)00746-8 · Cited by 1,307
Walker, M. P., & Stickgold, R. (2006) · Annual Review of Psychology · doi:10.1146/annurev.psych.56.091103.070307 · Cited by 1,075
Reorganization and plasticity in the adult brain during learning of motor skills
Doyon, J., & Benali, H. (2005) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2005.03.004 · Cited by 1,028
Self-citationDistinct basal ganglia territories are engaged in early and advanced motor sequence learning
Lehéricy, S., Benali, H., Van de Moortele, P.-F., Pélégrini-Issac, M., Waechter, T., Ugurbil, K., & Doyon, J. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0502762102 · Cited by 634
Self-citationSleep forms memory for finger skills
Fischer, S., Hallschmid, M., Elsner, A. L., & Born, J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.182178199 · Cited by 589
Distinguishable brain activation networks for short- and long-term motor skill learning
Floyer-Lea, A., & Matthews, P. M. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00717.2004 · Cited by 422
Motor Memory Consolidation in Sleep Shapes More Effective Neuronal Representations
Fischer, S., Nitschke, M. F., Melchert, U. H., Erdmann, C., & Born, J. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.1743-05.2005 · Cited by 255
Age-related decline of sleep-dependent consolidation
Spencer, R. M. C., Gouw, A. M., & Ivry, R. B. (2007) · Learning & Memory · doi:10.1101/lm.569407 · Cited by 201
Sleep Does Not Benefit Probabilistic Motor Sequence Learning
Song, S., Howard, J. H., & Howard, D. V. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2062-07.2007 · Cited by 195
Early boost and slow consolidation in motor skill learning
Hotermans, C., Peigneux, P., Maertens de Noordhout, A., Moonen, G., & Maquet, P. (2006) · Learning & Memory · doi:10.1101/lm.239406 · Cited by 115
Cited by
Goal-directed and habitual control in the basal ganglia: implications for Parkinson's disease
Redgrave, P., Rodriguez, M., Smith, Y., Rodriguez-Oroz, M. C., Lehericy, S., Bergman, H., Agid, Y., DeLong, M. R., & Obeso, J. A. (2010) · Nature reviews. Neuroscience · doi:10.1038/nrn2915 · Cited by 1,134
“Therefore, if our proposal that patients with Parkinson's disease increasingly have to operate in goal-directed control mode is correct, this could explain why they have particular problems with the automatic components of action sequence”
Contributions of the basal ganglia and functionally related brain structures to motor learning
Doyon, J., Bellec, P., Amsel, R., Penhune, V., Monchi, O., Carrier, J., Lehéricy, S., & Benali, H. (2009) · Behavioural Brain Research · doi:10.1016/j.bbr.2008.11.012 · Cited by 783
Self-citationMirelman, A., Maidan, I., Herman, T., Deutsch, J. E., Giladi, N., & Hausdorff, J. M. (2011) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glq201 · Cited by 418
Magrinelli, F., Picelli, A., Tocco, P., Federico, A., Roncari, L., Smania, N., Zanette, G., & Tamburin, S. (2016) · Parkinson's Disease · doi:10.1155/2016/9832839 · Cited by 369
Motor learning in Parkinson's disease: limitations and potential for rehabilitation
Nieuwboer, A., Rochester, L., Müncks, L., & Swinnen, S. P. (2009) · Parkinsonism & Related Disorders · doi:10.1016/s1353-8020(09)70781-3 · Cited by 317
Metadata
- Authors
- Doyon, J.
- Venue
- Current Opinion in Neurology
- Published
- 2008-08
- Volume
- 21
- Issue
- 4
- Pages
- 478-483
- ISSN
- 1350-7540 (ISSN-L)
- OpenAlex
- W1988491410
- Cited by
- 192
- References
- 11
- FWCI
- 9.42
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Motor sequence learning and movement disorders. https://app.cochat.ai/papers/10.1097/wco.0b013e328304b6a3
- The paper
- Doyon, J. (2008). Motor sequence learning and movement disorders. Current Opinion in Neurology. https://doi.org/10.1097/wco.0b013e328304b6a3
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.