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Localization of Cardiac-Induced Signal Change in fMRI
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Thulborn, K. R., Waterton, J. C., Matthews, P. M., & Radda, G. K. (1982) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/0304-4165(82)90333-6 · Cited by 1,134
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Metadata
- Authors
- Dagli, M. S., Ingeholm, J. E., & Haxby, J. V.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 1999-04
- Volume
- 9
- Issue
- 4
- Pages
- 407-415
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2078880430
- Cited by
- 384
- References
- 1
- FWCI
- 3.65
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
