The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Family resemblance: Ten family members with prosopagnosia and within-class object agnosia
Abstract
We report on neuropsychological testing done with a family in which many members reported severe face recognition impairments. These 10 individuals were high functioning in everyday life and performed normally on tests of low-level vision and high-level cognition. In contrast, they showed clear deficits with tests requiring face memory and judgements of facial similarity. They did not show deficits with all aspects of higher level visual processing as all tested performed normally on a challenging facial emotion recognition task and on a global-local letter identification task. On object memory tasks requiring recognition of particular cars and guns, they showed significant deficits so their recognition impairments were not restricted to facial identity. These results strongly suggest the existence of a genetic condition leading to a selective deficit of visual recognition.
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
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. (2013) · Encyclopedia of Social Work · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,519
The fusiform face area: a module in human extrastriate cortex specialized for face perception
Kanwisher, N., McDermott, J., & Chun, M. M. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-11-04302.1997 · Cited by 7,738
The distributed human neural system for face perception
Haxby, J. V., Hoffman, E. A., & Gobbini, M. I. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01482-0 · Cited by 4,891
Baron‐Cohen, S., Wheelwright, S., Hill, J., Raste, Y., & Plumb, I. (2001) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00715 · Cited by 4,555
Baron‐Cohen, S., Wheelwright, S. J., Hill, J., Raste, Y., & Plumb, I. (2001) · PubMed · Cited by 4,313
Forest before trees: The precedence of global features in visual perception
Navon, D. (1977) · Cognitive Psychology · doi:10.1016/0010-0285(77)90012-3 · Cited by 4,005
Understanding face recognition
Bruce, V., & Young, A. (1986) · British Journal of Psychology · doi:10.1111/j.2044-8295.1986.tb02199.x · Cited by 3,912
A forkhead-domain gene is mutated in a severe speech and language disorder
Lai, C. S. L., Fisher, S. E., Hurst, J. A., Vargha-Khadem, F., & Monaco, A. P. (2001) · Nature · doi:10.1038/35097076 · Cited by 2,054
Visual neurones responsive to faces in the monkey temporal cortex
Perrett, D. I., Rolls, E. T., & Caan, W. (1982) · Experimental Brain Research · doi:10.1007/bf00239352 · Cited by 1,385
THE DESIGN OF A NEW LETTER CHART FOR MEASURING CONTRAST SENSITIVITY
Pelli, D. G., Robson, J. G., & Wilkins, A. J. (1988) · Cited by 1,308
Cited by
Functional specificity in the human brain: a window into the functional architecture of the mind
Kanwisher, N. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005062107 · Cited by 929
Germine, L., Nakayama, K., Duchaine, B. C., Chabris, C. F., Chatterjee, G., & Wilmer, J. B. (2012) · Psychonomic Bulletin & Review · doi:10.3758/s13423-012-0296-9 · Cited by 669
Self-citationSuper-recognizers: People with extraordinary face recognition ability
Russell, R., Duchaine, B., & Nakayama, K. (2009) · Psychonomic Bulletin & Review · doi:10.3758/pbr.16.2.252 · Cited by 429
Self-citationHuman face recognition ability is specific and highly heritable
Wilmer, J. B., Germine, L., Chabris, C. F., Chatterjee, G., Williams, M., Loken, E., Nakayama, K., & Duchaine, B. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913053107 · Cited by 396
Self-citationFysh, M. C., & Bindemann, M. (2018) · British Journal of Psychology · doi:10.1111/bjop.12260 · Cited by 118
Metadata
- Authors
- Duchaine, B., Germine, L., & Nakayama, K.
- Venue
- Cognitive Neuropsychology
- Publisher
- Informa UK Limited
- Published
- 2007-06
- Volume
- 24
- Issue
- 4
- Pages
- 419-430
- ISSN
- 0264-3294 (ISSN-L)
- 1464-0627
- OpenAlex
- W2154220172
- Cited by
- 409
- References
- 43
- FWCI
- 4.64
- 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: Family resemblance: Ten family members with prosopagnosia and within-class object agnosia. https://app.cochat.ai/papers/10.1080/02643290701380491
- The paper
- Duchaine, B., Germine, L., & Nakayama, K. (2007). Family resemblance: Ten family members with prosopagnosia and within-class object agnosia. Cognitive Neuropsychology. https://doi.org/10.1080/02643290701380491
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.