The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Transition of Brain Activation from Frontal to Parietal Areas in Visuomotor Sequence Learning
Open accessAbstract
We studied the neural correlates of visuomotor sequence learning using functional magnetic resonance imaging (fMRI). In the test condition, subjects learned, by trial and error, the correct order of pressing two buttons consecutively for 10 pairs of buttons (2 × 10 task); in the control condition, they pressed buttons in any order. Comparison between the test condition and the control condition revealed four brain areas specifically related to learning: the dorsolateral prefrontal cortex (DLPFC), the presupplementary motor area (pre-SMA), the precuneus, and the intraparietal sulcus (IPS). We found that the time course of activation during learning was different between these areas. To normalize the individual differences in the speed of learning, we classified the performance of each subject into three learning stages: early, intermediate, and advanced stages. Both the relative increase of signal intensity and the number of activated pixels within the four areas showed significant changes across the learning stages, with different time courses. The two frontal areas, DLPFC and pre-SMA, were activated in the earlier stages of learning, whereas the two parietal areas, precuneus and IPS, were activated in the later stages. Specifically, DLPFC, pre-SMA, precuneus, and IPS were most highly activated in the early stage, in both the early and intermediate stages, in the intermediate stage, and in both the intermediate and advanced stages, respectively. The results suggest that the acquisition of visuomotor sequences requires frontal activation, whereas the retrieval of visuomotor sequences requires parietal activation, which might reflect the transition from the declarative stage to the procedural stage.
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
Controlled and automatic human information processing: I. Detection, search, and attention.
Schneider, W., & Shiffrin, R. M. (1977) · Psychological Review · doi:10.1037/0033-295x.84.1.1 · Cited by 5,902
Acquisition of cognitive skill
Anderson, J. R. (1982) · Psychological Review · doi:10.1037/0033-295x.89.4.369 · Cited by 3,663
Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex
Funahashi, S., Bruce, C. J., & Goldman-Rakic, P. S. (1989) · Journal of Neurophysiology · doi:10.1152/jn.1989.61.2.331 · Cited by 2,685
The neural correlates of the verbal component of working memory
Paulesu, E., Frith, C. D., & Frackowiak, R. S. J. (1993) · Nature · doi:10.1038/362342a0 · Cited by 2,230 · cited 2×
“, 1997), working memory (Paulesu et al., 1993; Buckner et al., 1996), and sequential saccades (Petit et al.”
BackgroundCircuitry of Primate Prefrontal Cortex and Regulation of Behavior by Representational Memory
Goldman‐Rakic, P. S. (1987) · Comprehensive Physiology · doi:10.1002/cphy.cp010509 · Cited by 1,960
Time course EPI of human brain function during task activation
Bandettini, P. A., Wong, E. C., Hinks, R. S., Tikofsky, R. S., & Hyde, J. S. (1992) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910250220 · Cited by 1,935
Functional MRI evidence for adult motor cortex plasticity during motor skill learning
Kami, A., Meyer, G., Jezzard, P., Adams, M. M., Turner, R., & Ungerleider, L. G. (1995) · Nature · doi:10.1038/377155a0 · Cited by 1,883
Motor Areas of the Medial Wall: A Review of Their Location and Functional Activation
Picard, N., & Strick, P. L. (1996) · Cerebral Cortex · doi:10.1093/cercor/6.3.342 · Cited by 1,712
Coding of intention in the posterior parietal cortex
Snyder, L. H., Batista, A. P., & Andersen, R. A. (1997) · Nature · doi:10.1038/386167a0 · Cited by 1,103
Neural Correlates of Motor Memory Consolidation
Shadmehr, R., & Holcomb, H. H. (1997) · Science · doi:10.1126/science.277.5327.821 · Cited by 1,022
Cited by
Cerebellar Projections to the Prefrontal Cortex of the Primate
Middleton, F. A., & Strick, P. L. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-02-00700.2001 · Cited by 1,034
Central mechanisms of motor skill learning
Hikosaka, O., Nakamura, K., Sakai, K., & Nakahara, H. (2002) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(02)00307-0 · Cited by 1,023
Self-citationFunctional brain development in humans
Johnson, M. H. (2001) · Nature Reviews Neuroscience · doi:10.1038/35081509 · Cited by 980
Building neural representations of habits.
Jog, M. S., Kubota, Y., Connolly, C. I., Hillegaart, V., & Graybiel, A. M. (1999) · Science · doi:10.1126/science.286.5445.1745 · Cited by 834
Parallel neural networks for learning sequential procedures
Hikosaka, O., Nakahara, H., Rand, M. K., Sakai, K., Lu, X., Nakamura, K., Miyachi, S., & Doya, K. (1999) · Trends in Neurosciences · doi:10.1016/s0166-2236(99)01439-3 · Cited by 799
Self-citation
Metadata
- Authors
- Sakai, K., Hikosaka, O., Miyauchi, S., Takino, R., Sasaki, Y., & Pütz, B.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 1998-03-01
- Volume
- 18
- Issue
- 5
- Pages
- 1827-1840
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2165426881
- Cited by
- 468
- References
- 19
- FWCI
- 12.43
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Transition of Brain Activation from Frontal to Parietal Areas in Visuomotor Sequence Learning. https://app.cochat.ai/papers/10.1523/jneurosci.18-05-01827.1998
- The paper
- Sakai, K., Hikosaka, O., Miyauchi, S., Takino, R., Sasaki, Y., & Pütz, B. (1998). Transition of Brain Activation from Frontal to Parietal Areas in Visuomotor Sequence Learning. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.18-05-01827.1998
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.