The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Dissociating State and Item Components of Recognition Memory Using fMRI
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Citations
Cites
Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.
Kwong, K. K., Belliveau, J. W., Chesler, D. A., Goldberg, I. E., Weisskoff, R. M., Poncelet, B. P., Kennedy, D. N., Hoppel, B. E., Cohen, M. S., & Turner, R. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5675 · Cited by 4,212
Common blood flow changes across visual tasks: II. Decreases in cerebral cortex
Shulman, G. L., Fiez, J. A., Corbetta, M., Buckner, R. L., Miezin, F. M., Raichle, M. E., & Petersen, S. E. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.5.648 · Cited by 1,890
Self-citationTemporal dynamics of brain activation during a working memory task
Cohen, J. D., Perlstein, W. M., Braver, T. S., Nystrom, L. E., Noll, D. C., Jonides, J., & Smith, E. E. (1997) · Nature · doi:10.1038/386604a0 · Cited by 1,876
(2000) · doi:10.1093/oso/9780195122657.001.0001 · Cited by 1,340
Areas Involved in Encoding and Applying Directional Expectations to Moving Objects
Shulman, G. L., Ollinger, J. M., Akbudak, E., Conturo, T. E., Snyder, A. Z., Petersen, S. E., & Corbetta, M. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-21-09480.1999 · Cited by 298
Self-citation
Cited by
The attention system of the human brain: 20 years after
Petersen, S. E., & Posner, M. I. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150525 · Cited by 3,439
Self-citationAnticipation of Increasing Monetary Reward Selectively Recruits Nucleus Accumbens
Knutson, B., Adams, C. M., Fong, G. W., & Hommer, D. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-16-j0002.2001 · Cited by 2,244
A dual-networks architecture of top-down control
Dosenbach, N. U. F., Fair, D. A., Cohen, A. L., Schlaggar, B. L., & Petersen, S. E. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.01.001 · Cited by 1,931
Self-citationA Core System for the Implementation of Task Sets
Dosenbach, N. U. F., Visscher, K. M., Palmer, E. D., Miezin, F. M., Wenger, K. K., Kang, H. C., Burgund, E. D., Grimes, A. L., Schlaggar, B. L., & Petersen, S. E. (2006) · Neuron · doi:10.1016/j.neuron.2006.04.031 · Cited by 1,772
Self-citationFinding the self? An event-related fMRI study
Kelley, W. M., Macrae, C. N., Wyland, C. L., Caglar, S., Inati, S., & Heatherton, T. F. (2002) · Journal of Cognitive Neuroscience · doi:10.1162/08989290260138672 · Cited by 1,606
Metadata
- Authors
- Donaldson, D. I., Petersen, S. E., Ollinger, J. M., & Buckner, R. L.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2001-01
- Volume
- 13
- Issue
- 1
- Pages
- 129-142
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2051285353
- Cited by
- 233
- References
- 5
- FWCI
- 10.86
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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How to cite
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- CoChat. (2026). Citation check: Dissociating State and Item Components of Recognition Memory Using fMRI. https://app.cochat.ai/papers/10.1006/nimg.2000.0664
- The paper
- Donaldson, D. I., Petersen, S. E., Ollinger, J. M., & Buckner, R. L. (2001). Dissociating State and Item Components of Recognition Memory Using fMRI. NeuroImage. https://doi.org/10.1006/nimg.2000.0664
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.
