Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 465

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Evidence for Multiple, Distinct Representations of the Human Body

Schwoebel, John, Coslett, H. Branch·2005·Journal of Cognitive Neuroscience

Abstract

Previous data from single-case and small group studies have suggested distinctions among structural, conceptual, and online sensorimotor representations of the human body. We developed a battery of tasks to further examine the prevalence and anatomic substrates of these body representations. The battery was administered to 70 stroke patients. Fifty-one percent of the patients were impaired relative to controls on at least one body representation measure. Further, principal components analysis of the patient data as well as direct comparisons of patient and control performance suggested a triple dissociation between measures of the 3 putative body representations. Consistent with previous distinctions between the “what” and “how” pathways, lesions of the left temporal lobe were most consistently associated with impaired performance on tasks assessing knowledge of the shape or lexical-semantic information about the body, whereas lesions of the dorsolateral frontal and parietal regions resulted in impaired performance on tasks requiring on-line coding of body posture.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1162/0898929053467587

Cites

8 of 8 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 8 references

Research works printed but not linked: 40

  1. 10.1080/02643290126172 · doi:10.1080/02643290126172 · Paper page
  2. 10.1006/brcg.2000.1227 · DOI · Paper page
  3. 10.1006/brcg.1998.1011 · DOI · Paper page
  4. 10.1212/WNL.59.3.357 · DOI
  5. 10.1016/0093-934X(76)90013-4 · doi:10.1016/0093-934x(76)90013-4
  6. 10.1038/9219 · DOI · Paper page
  7. Fujimori M., 1993, Japanese Journal of Neuropsychology, 9, 240
  8. 10.1093/brain/119.2.593 · DOI · Paper page
  9. 10.1093/cercor/10.11.1093 · DOI · Paper page
  10. 10.1016/0166-2236(92)90344-8 · DOI · Paper page
  11. 10.1016/0028-3932(88)90031-0 · DOI
  12. 10.1126/science.290.5497.1782 · DOI · Paper page
  13. 10.1002/1097-0193(200101)12:1<1::AID-HBM10>3.0.CO;2-V · doi:10.1002/1097-0193(200101)12:1<1::aid-hbm10>3.0.co;2-v
  14. 10.1093/brain/34.2-3.102 · DOI · Paper page
  15. 10.1093/brain/114.5.2081 · DOI · Paper page
  16. 10.1097/00001756-200003200-00015 · DOI
  17. 10.1136/jnnp.41.6.571 · DOI
  18. 10.1080/02643290143000150 · DOI
  19. 10.1037/0096-3445.116.2.172 · DOI · Paper page
  20. 10.1037/0096-1523.20.4.709 · DOI · Paper page
  21. Parsons L. M., 1998, Cognitive Neuropsychology, 15, 583
  22. 10.1038/375054a0 · DOI · Paper page
  23. 10.1523/JNEUROSCI.18-16-06539.1998 · DOI
  24. 10.1007/BF00410392 · DOI
  25. 10.1016/S0278-2626(02)00005-2 · DOI
  26. 10.1080/02643290342000348 · DOI
  27. 10.1212/WNL.59.5.775 · DOI
  28. 10.1080/02643290042000170 · doi:10.1080/02643290042000170
  29. 10.1093/brain/124.10.2098 · DOI · Paper page
  30. 10.1016/S0010-9452(88)80007-8 · DOI
  31. 10.1080/13554799808410631 · DOI
  32. 10.1097/00001756-199505090-00012 · DOI · Paper page
  33. 10.1093/brain/114.1.629 · DOI · Paper page
  34. 10.1038/29777 · DOI · Paper page
  35. 10.1080/13554799708404054 · DOI
  36. 10.1016/S0278-2626(03)00147-7 · DOI
  37. 10.1093/brain/110.5.1273 · DOI · Paper page
  38. 10.1038/81497 · DOI · Paper page
  39. 10.1126/science.7569931 · DOI · Paper page
  40. 10.1016/S0010-9452(73)80020-6 · DOI

Cited by

See all 465

Metadata

Authors
Schwoebel, J., & Coslett, H. B.
Venue
Journal of Cognitive Neuroscience
Published
2005-04-01
Volume
17
Issue
4
Pages
543-553
ISSN
  • 0898-929X (ISSN-L)
  • 1530-8898
OpenAlex
W2149421438
Cited by
465
References
8
FWCI
5.60
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: Evidence for Multiple, Distinct Representations of the Human Body. https://app.cochat.ai/papers/10.1162/0898929053467587
The paper
Schwoebel, J., & Coslett, H. B. (2005). Evidence for Multiple, Distinct Representations of the Human Body. Journal of Cognitive Neuroscience. https://doi.org/10.1162/0898929053467587

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.