The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Visual pathways for object-oriented action and object recognition: functional anatomy with PET
Abstract
The purpose of this study was to identify the functional anatomy of the mechanisms involved in visually guided prehension and in object recognition in humans. The cerebral blood flow of seven subjects was investigated by positron emission tomography. Three conditions were performed using the same set of stimuli. In the 'grasping' condition, subjects were instructed to accurately grasp the objects. In the 'matching' condition, subjects were requested to compare the shape of the presented object with that of the previous one. In the 'pointing' condition (control), subjects pointed towards the objects. The comparison between grasping and pointing showed a regional cerebral blood flow (rCBF) increase in the anterior part of the inferior parietal cortex and part of the posterior parietal cortex. The comparison between grasping and matching showed an rCBF increase in the cerebellum, the left frontal cortex around the central sulcus, the mesial frontal cortex and the left inferior parietal cortex. Finally, the comparison between matching and pointing showed an rCBF increase in the right temporal cortex and the right posterior parietal cortex. Thus object-oriented action and object recognition activate a common posterior parietal area, suggesting that some kind of within-object spatial analysis was processed by this area whatever the goal of the task.
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
Object vision and spatial vision: Two cortical pathways
Mishkin, M., Ungerleider, L. G., & Macko, K. A. (1983) · Trends in Neurosciences · doi:10.1016/0166-2236(83)90190-x · Cited by 2,947 · cited 2×
“…the parietal activation discussed below) were obtained in previous studies dealing with visual processing of objects or faces both in humans (Haxby et al., 1991; Sergent et al., 1992; Kosslyn et al., 1994) and non-human primates (Mishkin et al., 1983; Bachevalier and Mishkin, 1986; Tanaka, 1993).”
Mapping motor representations with positron emission tomography
Decety, J., Perani, D., Jeannerod, M., Bettinardi, V., Tadary, B., Woods, R., Mazziotta, J. C., & Fazio, F. (1994) · Nature · doi:10.1038/371600a0 · Cited by 976
Boussaoud, D., Ungerleider, L. G., & Desimone, R. (1990) · Journal of Comparative Neurology · doi:10.1002/cne.902960311 · Cited by 634 · cited 1×
“Both streams originate from the primary visual areas: the dorsal stream goes through extrastriate visual areas and reaches the associative parietal areas, whereas the ventral stream reaches the inferotemporal cortex (Mishkin et al., 1983; Boussaoud et al., 1990).”
BackgroundRegional distribution of functions in parietal association area 7 of the monkey
Hyva¨rinen, J. (1981) · Brain Research · doi:10.1016/0006-8993(81)90533-3 · Cited by 292
Grafton, S. T., Woods, R. P., & Tyszka, M. (1994) · Human Brain Mapping · doi:10.1002/hbm.460010307 · Cited by 214
Cited by
Neural simulation of action: a unifying mechanism for motor cognition.
Jeannerod, M. (2001) · NeuroImage · doi:10.1006/nimg.2001.0832 · Cited by 2,563
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
Brain activity during observation of actions. Influence of action content and subject's strategy
Decety, J. (1997) · Brain · doi:10.1093/brain/120.10.1763 · Cited by 942
Murata, A., Gallese, V., Luppino, G., Kaseda, M., & Sakata, H. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.83.5.2580 · Cited by 841
Simon, O., Mangin, J.-F., Cohen, L., Le Bihan, D., & Dehaene, S. (2002) · Neuron · doi:10.1016/s0896-6273(02)00575-5 · Cited by 769
Metadata
- Authors
- Faillenot, I.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 1997-01-01
- Volume
- 7
- Issue
- 1
- Pages
- 77-85
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2071448417
- Cited by
- 223
- References
- 5
- FWCI
- 9.38
- 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: Visual pathways for object-oriented action and object recognition: functional anatomy with PET. https://app.cochat.ai/papers/10.1093/cercor/7.1.77
- The paper
- Faillenot, I. (1997). Visual pathways for object-oriented action and object recognition: functional anatomy with PET. Cerebral Cortex. https://doi.org/10.1093/cercor/7.1.77
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.