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Single-Neuron Activity and Tissue Oxygenation in the Cerebral Cortex
Abstract
Blood oxygen level–dependent functional magnetic resonance imaging uses alterations in brain hemodynamics to infer changes in neural activity. Are these hemodynamic changes regulated at a spatial scale capable of resolving functional columns within the cerebral cortex? To address this question, we made simultaneous measurements of tissue oxygenation and single-cell neural activity within the visual cortex. Results showed that increases in neuronal spike rate were accompanied by immediate decreases in tissue oxygenation. We used this decrease in tissue oxygenation to predict the orientation selectivity and ocular dominance of neighboring neurons. Our results establish a coupling between neural activity and oxidative metabolism and suggest that high-resolution functional magnetic resonance imaging may be used to localize neural activity at a columnar level.
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Cites
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Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,551
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Potolicchio, I., Carven, G. J., Xu, X., Stipp, C., Riese, R. J., Stern, L. J., & Santambrogio, L. (2005) · The Journal of Immunology · doi:10.4049/jimmunol.175.4.2237 · Cited by 365
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Aversive Prediction Error Signals in the Amygdala
McHugh, S. B., Barkus, C., Huber, A., Capitao, L., Lima, J., Lowry, J. P., & Bannerman, D. M. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4465-13.2014 · Cited by 68
Febo, M. (2011) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2011.00043 · Cited by 43
Metadata
- Authors
- Thompson, J. K., Peterson, M. R., & Freeman, R. D.
- Venue
- Science
- Published
- 2003-02-14
- Volume
- 299
- Issue
- 5609
- Pages
- 1070-1072
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2025919881
- Cited by
- 362
- References
- 1
- FWCI
- 23.28
- 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.
