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The Variability of Human, BOLD Hemodynamic Responses
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Cerebral hemodynamic responses to brief periods of neural activity are delayed and dispersed in time. The specific shape of these responses is of some importance to the design and analysis of blood oxygenation level-dependent (BOLD), functional magnetic resonance imaging (fMRI) experiments. Using fMRI scanning, we examine here the characteristics and variability of hemodynamic responses from the central sulcus in human subjects during an event-related, simple reaction time task. Specifically, we determine the contribution of subject, day, and scanning session (within a day) to variability in the shape of evoked hemodynamic response. We find that while there is significant and substantial variability in the shape of responses collected across subjects, responses collected during multiple scans within a single subject are less variable. The results are discussed in terms of the impact of response variability upon sensitivity and specificity of analyses of event-related fMRI designs.
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Cites
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Murphy, K., Birn, R. M., Handwerker, D. A., Jones, T. B., & Bandettini, P. A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.036 · Cited by 2,387
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Carr, L., Iacoboni, M., Dubeau, M.-C., Mazziotta, J. C., & Lenzi, G. L. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0935845100 · Cited by 1,978
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Downar, J., Crawley, A. P., Mikulis, D. J., & Davis, K. D. (2000) · Nature Neuroscience · doi:10.1038/72991 · Cited by 947
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Huppert, T. J., Hoge, R. D., Diamond, S. G., Franceschini, M. A., & Boas, D. A. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.065 · Cited by 846
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Ranganath, C., Yonelinas, A. P., Cohen, M. X., Dy, C. J., Tom, S. M., & D’Esposito, M. (2004) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2003.07.006 · Cited by 689
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Lurie, D. J., Kessler, D., Bassett, D. S., Betzel, R. F., Breakspear, M., Kheilholz, S., Kucyi, A., Liégeois, R., Lindquist, M. A., McIntosh, A. R., et al. (2020) · Network Neuroscience · doi:10.1162/netn_a_00116 · Cited by 648
Autism as a neural systems disorder: A theory of frontal-posterior underconnectivity
Just, M. A., Keller, T. A., Malave, V. L., Kana, R. K., & Varma, S. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.02.007 · Cited by 578
Identifying neural drivers with functional MRI: an electrophysiological validation
David, O., Guillemain, I., Saillet, S., Reyt, S., Deransart, C., Segebarth, C., & Depaulis, A. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060315 · Cited by 533
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Wager, T. D., & Nichols, T. E. (2003) · NeuroImage · doi:10.1016/s1053-8119(02)00046-0 · Cited by 458
Brain mediators of cardiovascular responses to social threat
Wager, T. D., Waugh, C. E., Lindquist, M., Noll, D. C., Fredrickson, B. L., & Taylor, S. F. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.043 · Cited by 402
Dorsal striatum responses to reward and punishment: effects of valence and magnitude manipulations
DELGADO, M. R., LOCKE, H. M., STENGER, V. A., & FIEZ, J. A. (2003) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.3.1.27 · Cited by 431
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Garrett, D. D., Kovacevic, N., McIntosh, A. R., & Grady, C. L. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.5166-09.2010 · Cited by 396
Event-related functional magnetic resonance imaging: modelling, inference and optimization
Josephs, O., & Henson, R. N. A. (1999) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.1999.0475 · Cited by 425
Prefrontal activity associated with working memory and episodic long-term memory.
Ranganath, C., Johnson, M. K., & D’Esposito, M. (2003) · Neuropsychologia · doi:10.1016/s0028-3932(02)00169-0 · Cited by 406
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Aguirre, G. K., Detre, J. A., Zarahn, E., & Alsop, D. C. (2002) · NeuroImage · doi:10.1006/nimg.2001.0990 · Cited by 403
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Knutson, B., & Gibbs, S. E. B. (2007) · Psychopharmacology · doi:10.1007/s00213-006-0686-7 · Cited by 337
D’Esposito, M., Postle, B. R., Jonides, J., & Smith, E. E. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.13.7514 · Cited by 329
Self-citationThe frontal aging hypothesis evaluated.
GREENWOOD, P. M. (2000) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617700666092 · Cited by 311
Functionally dissociable influences on learning rate in a dynamic environment
McGuire, J. T., Nassar, M. R., Gold, J. I., & Kable, J. W. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.013 · Cited by 299
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Schaefer, S. M., Jackson, D. C., Davidson, R. J., Aguirre, G. K., Kimberg, D. Y., & Thompson-Schill, S. L. (2002) · Journal of Cognitive Neuroscience · doi:10.1162/089892902760191135 · Cited by 306
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Detre, J. A., & Wang, J. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00038-x · Cited by 291
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Benson, N. C., Butt, O. H., Datta, R., Radoeva, P. D., Brainard, D. H., & Aguirre, G. K. (2012) · Current Biology · doi:10.1016/j.cub.2012.09.014 · Cited by 227
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Engels, A. S., Heller, W., Spielberg, J. M., Warren, S. L., Sutton, B. P., Banich, M. T., & Miller, G. A. (2010) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.10.1.141 · Cited by 133
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Metadata
- Authors
- Aguirre, G. K., Zarahn, E., & D'Esposito, M.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 1998-11
- Volume
- 8
- Issue
- 4
- Pages
- 360-369
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2139376466
- Cited by
- 1,215
- References
- 1
- FWCI
- 27.27
- Type
- journal article
- Language
- en
- Open access
- hybrid
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