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Spontaneous local variations in ongoing neural activity bias perceptual decisions
Open accessAbstract
Neural variability in responding to identical repeated stimuli has been related to trial-by-trial fluctuations in ongoing activity, yet the neural and perceptual consequences of these fluctuations remain poorly understood. Using functional neuroimaging, we recorded brain activity in subjects who reported perceptual decisions on an ambiguous figure, Rubin's vase-faces picture, which was briefly presented at variable intervals of ≥20 s. Prestimulus activity in the fusiform face area, a cortical region preferentially responding to faces, was higher when subjects subsequently perceived faces instead of the vase. This finding suggests that endogenous variations in prestimulus neuronal activity biased subsequent perceptual inference. Furnishing evidence that evoked sensory responses, we then went on to show that the pre- and poststimulus activity interact in a nonlinear way and the ensuing perceptual decisions depend upon the prestimulus context in which they occur.
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Cites
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326
Wandering minds: the default network and stimulus-independent thought
Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., & Macrae, C. N. (2007) · Science · doi:10.1126/science.1131295 · Cited by 2,792
Intrinsic functional architecture in the anaesthetized monkey brain
Vincent, J. L., Patel, G. H., Fox, M. D., Snyder, A. Z., Baker, J. T., Van Essen, D. C., Zempel, J. M., Snyder, L. H., Corbetta, M., & Raichle, M. E. (2007) · Nature · doi:10.1038/nature05758 · Cited by 1,786
Neural Basis of a Perceptual Decision in the Parietal Cortex (Area LIP) of the Rhesus Monkey
Shadlen, M. N., & Newsome, W. T. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.86.4.1916 · Cited by 1,755
Neural correlates of a decision in the dorsolateral prefrontal cortex of the macaque
Kim, J.-N., & Shadlen, M. N. (1999) · Nature Neuroscience · doi:10.1038/5739 · Cited by 950
A general mechanism for perceptual decision-making in the human brain
Heekeren, H. R., Marrett, S., Bandettini, P. A., & Ungerleider, L. G. (2004) · Nature · doi:10.1038/nature02966 · Cited by 741
Fox, M. D., Snyder, A. Z., Zacks, J. M., & Raichle, M. E. (2006) · Nature Neuroscience · doi:10.1038/nn1616 · Cited by 660
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Dynamic functional connectivity: Promise, issues, and interpretations
Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., Gonzalez-Castillo, J., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.079 · Cited by 2,962
Neurodegenerative Diseases Target Large-Scale Human Brain Networks
Seeley, W. W., Crawford, R. K., Zhou, J., Miller, B. L., & Greicius, M. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.024 · Cited by 2,350
Expectation in perceptual decision making: neural and computational mechanisms
Summerfield, C., & de Lange, F. P. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3838 · Cited by 832
Waking state: rapid variations modulate neural and behavioral responses
McGinley, M. J., Vinck, M., Reimer, J., Batista-Brito, R., Zagha, E., Cadwell, C. R., Tolias, A. S., Cardin, J. A., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.012 · Cited by 801
“…the marked impact of apparent spontaneous variations in the human waking state on both cortical responses and perceptual abilities has begun to be more widely appreciated (Boly et al., 2007; Fox and Raichle, 2007; He, 2013; Hesselmann et al., 2008a; Hesselmann et al., 2008b; Palva and Palva, 2011).”
Graph-based network analysis of resting-state functional MRI
Wang, J. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00016 · Cited by 614
Kucyi, A., & Davis, K. D. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2014.11.006 · Cited by 587
Sadaghiani, S., Scheeringa, R., Lehongre, K., Morillon, B., Giraud, A.-L., & Kleinschmidt, A. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.1004-10.2010 · Cited by 504
Self-citationAnterior insula integrates information about salience into perceptual decisions about pain
Wiech, K., Lin, C.-S., Brodersen, K. H., Bingel, U., Ploner, M., & Tracey, I. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.2087-10.2010 · Cited by 470
Network-level structural covariance in the developing brain
Zielinski, B. A., Gennatas, E. D., Zhou, J., & Seeley, W. W. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1003109107 · Cited by 405
Krienen, F. M., Yeo, B. T. T., & Buckner, R. L. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0526 · Cited by 372
Yuan, H., Zotev, V., Phillips, R., Drevets, W. C., & Bodurka, J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.031 · Cited by 352
Neuromodulation of brain state and behavior
McCormick, D. A., Nestvogel, D. B., & He, B. J. (2020) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-100219-105424 · Cited by 303
Sadaghiani, S., Hesselmann, G., & Kleinschmidt, A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.2592-09.2009 · Cited by 325
Self-citationMechanisms underlying gain modulation in the cortex
Ferguson, K. A., & Cardin, J. A. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0253-y · Cited by 327
Threat and the body: how the heart supports fear processing
Garfinkel, S. N., & Critchley, H. D. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.10.005 · Cited by 298
The “correlates” in neural correlates of consciousness
de Graaf, T. A., Hsieh, P.-J., & Sack, A. T. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.05.012 · Cited by 268
Spontaneous and Task-Evoked Brain Activity Negatively Interact
He, B. J. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.2922-12.2013 · Cited by 272
Northoff, G., & Lamme, V. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.07.019 · Cited by 247
Perceptual restoration of masked speech in human cortex
Leonard, M. K., Baud, M. O., Sjerps, M. J., & Chang, E. F. (2016) · Nature Communications · doi:10.1038/ncomms13619 · Cited by 170
Anterior insula activations in perceptual paradigms: often observed but barely understood
Sterzer, P., & Kleinschmidt, A. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0252-2 · Cited by 183
Self-citationCortical activity is more stable when sensory stimuli are consciously perceived
Schurger, A., Sarigiannidis, I., Naccache, L., Sitt, J. D., & Dehaene, S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418730112 · Cited by 155
Functional interactions between intrinsic brain activity and behavior
Sadaghiani, S., & Kleinschmidt, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.100 · Cited by 147
Self-citationPredictive Coding or Evidence Accumulation? False Inference and Neuronal Fluctuations
Hesselmann, G., Sadaghiani, S., Friston, K. J., & Kleinschmidt, A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009926 · Cited by 117
Self-citationPalva, J. M., & Palva, S. (2011) · Progress in Brain Research · doi:10.1016/b978-0-444-53839-0.00022-3 · Cited by 63
Douglas, Z. H., Maniscalco, B., Hallett, M., Wassermann, E. M., & He, B. J. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.4894-14.2015 · Cited by 51
On time and space in the brain: A relativistic pseudo-diffusion framework
Le Bihan, D. (2020) · Brain Multiphysics · doi:10.1016/j.brain.2020.100016 · Cited by 30
Spontaneous Infraslow Fluctuations Modulate Hippocampal EPSP-PS Coupling
Dash, M. B., Ajayi, S., Folsom, L., Gold, P. E., & Korol, D. L. (2018) · eneuro · doi:10.1523/eneuro.0403-17.2017 · Cited by 14
Context-sensitive conscious interpretation and layer-5 pyramidal neurons in multistable perception
Bachmann, T. (2025) · Brain and Behavior · doi:10.1002/brb3.70393 · Cited by 3
Metadata
- Authors
- Hesselmann, G., Kell, C. A., Eger, E., & Kleinschmidt, A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2008-08-05
- Volume
- 105
- Issue
- 31
- Pages
- 10984-10989
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2063993331
- Cited by
- 323
- References
- 16
- FWCI
- 9.42
- Type
- journal article
- Language
- en
- Open access
- green
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