The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Interval and Ordinal Properties of Sequences Are Associated with Distinct Premotor Areas
Abstract
Lesion and imaging studies have suggested that the premotor cortex (PMC) is a crucial component in the neural network underlying the processing of sequential information. However, whether different aspects of sequential information like interval and ordinal properties are supported by different anatomical regions, and whether the representation of sequential information within the PMC is necessarily related to motor requirements, remain open questions. Brain activations were investigated during a sequence encoding paradigm in 12 healthy subjects using functional magnetic resonance imaging. Subjects had to attend either to the interval or to the ordinal information of a sequence of visually presented stimuli and had to encode the relevant information either before motor reproduction or before perceptual monitoring. Although interval and ordinal information led to activations within the same neural network, direct comparisons revealed significant differences. The pre-supplementary motor area (preSMA), the lateral PMC, the frontal opercular cortex as well as basal ganglia and the left lateral cerebellar cortex (CE) were activated significantly more strongly by interval information, whereas the SMA, the frontal eye field, the primary motor cortex (MI), the primary somatosensory cortex, the cuneus as well as the medial CE and the thalamus were activated more strongly by ordinal information. In addition, serial encoding before reproduction led to higher activations than serial encoding before monitoring in the preSMA, SMA, MI and medial CE. Our findings suggest overlapping but different kinds of sequential representation, depending on both the ordinal and interval aspects as well as motor requirements.
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Anterior Cingulate Cortex, Error Detection, and the Online Monitoring of Performance
Carter, C. S., Braver, T. S., Barch, D. M., Botvinick, M. M., Noll, D., & Cohen, J. D. (1998) · Science · doi:10.1126/science.280.5364.747 · Cited by 3,273
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
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
Porro, C. A., Francescato, M. P., Cettolo, V., Diamond, M. E., Baraldi, P., Zuiani, C., Bazzocchi, M., & di Prampero, P. E. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-23-07688.1996 · Cited by 924
RIZZOLATTI, G., MATELLI, M., & PAVESI, G. (1983) · Brain · doi:10.1093/brain/106.3.655 · Cited by 505
Matsuzaka, Y., Aizawa, H., & Tanji, J. (1992) · Journal of Neurophysiology · doi:10.1152/jn.1992.68.3.653 · Cited by 500
Dynamic cortical involvement in implicit and explicit motor sequence learning. A PET study
Honda, M. (1998) · Brain · doi:10.1093/brain/121.11.2159 · Cited by 370
Doyon, J., Owen, A. M., Petrides, M., Sziklas, V., & Evans, A. C. (1996) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.1996.tb01249.x · Cited by 326
Shima, K., & Tanji, J. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.6.3247 · Cited by 272
Cited by
Towards a neural basis of auditory sentence processing
Friederici, A. D. (2002) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01839-8 · Cited by 2,231
Contributions of memory circuits to language: the declarative/procedural model
Ullman, M. T. (2004) · Cognition · doi:10.1016/j.cognition.2003.10.008 · Cited by 1,893
Rhythm and Beat Perception in Motor Areas of the Brain
Grahn, J. A., & Brett, M. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.5.893 · Cited by 1,050
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
Lewis, P. A., & Miall, R. C. (2003) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(03)00036-9 · Cited by 836
Metadata
- Authors
- Schubotz, R. I.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-03-01
- Volume
- 11
- Issue
- 3
- Pages
- 210-222
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2095651702
- Cited by
- 211
- References
- 9
- FWCI
- 7.52
- Type
- journal article
- Language
- en
- Open access
- closed
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