The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Neurophysiological investigation of the basis of the fMRI signal
Abstract
Functional magnetic resonance imaging (fMRI) is widely used to study the operational organization of the human brain, but the exact relationship between the measured fMRI signal and the underlying neural activity is unclear. Here we present simultaneous intracortical recordings of neural signals and fMRI responses. We compared local field potentials (LFPs), single- and multi-unit spiking activity with highly spatio-temporally resolved blood-oxygen-level-dependent (BOLD) fMRI responses from the visual cortex of monkeys. The largest magnitude changes were observed in LFPs, which at recording sites characterized by transient responses were the only signal that significantly correlated with the haemodynamic response. Linear systems analysis on a trial-by-trial basis showed that the impulse response of the neurovascular system is both animal- and site-specific, and that LFPs yield a better estimate of BOLD responses than the multi-unit responses. These findings suggest that the BOLD contrast mechanism reflects the input and intracortical processing of a given area rather than its spiking output.
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In the citing paper
“Importantly, local field potentials and tissue oxygen response, which directly contribute to the generation of the BOLD signals (Logothetis et al., 2001), were preserved at both frequencies.”
From Perception is associated with the brain’s metabolic response to sensory stimulation (2022) · cites this paper as Logothetis et al., 2001
In the citing paper
“Although the electrophysiological activity in V1 could not be directly assessed in our experiment, based on the literature (Logothetis et al., 2001) we can obtain a rough surrogate of V1 output by evaluating fMRI signals in the secondary visual areas, which receive input directly from V1.”
From Perception is associated with the brain’s metabolic response to sensory stimulation (2022) · cites this paper as Logothetis et al., 2001
In the citing paper
“and EEG oscillations are associated with hemodynamic signals (29-32).”
From Coupled electrophysiological, hemodynamic, and cerebrospinal fluid oscillations in human sleep (2019) · cites this paper as [29]
In the citing paper
“When recorded simultaneously during sensory stimulation, the BOLD response is more correlated with LFP than MUA (129, 130).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [129]
In the citing paper
“Increasing evidence suggests that the primary source of fMRI is synaptic activity, rather than spiking activity, in the gray matter (129, 130).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [129]
In the citing paper
“The BOLD response is thought to be generated by local excitatory synaptic activity (Logothetis et al., 2001), leading to precisely localised changes in blood flow in response to the release of glutamate (Attwell and Iadecola, 2002).”
From The social brain in adolescence: evidence from functional magnetic resonance imaging and behavioural studies (2011) · cites this paper as Logothetis et al., 2001
In the citing paper
“Under the view that the fMRI BOLD signal reflects in part the input into an area and intrinsic computations within it (Logothetis et al., 2001)”
From States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning (2010) · cites this paper as Logothetis et al., 2001
In the citing paper
“which was also observed under anesthesia in previous EEG-fMRI and intrinsic optical signal (IOS)-fMRI studies35,36.”
From Local hippocampal fast gamma rhythms precede brain-wide hyperemic patterns during spontaneous rodent REM sleep (2018) · cites this paper as [35]
In the citing paper
“Gradient echo T2*-weighted echo-planar images (EPIs) sensitive to the BOLD contrast were acquired as an index of local increases in synaptic activity (48)”
From Threatening a rubber hand that you feel is yours elicits a cortical anxiety response. (2007) · cites this paper as [48]
In the citing paper
“fMRI is one the most common and reliable methods of measuring brain function at decent spatial and temporal resolutions, but given that it is an indirect measure of brain activity, reflecting a paradigm related change in metabolic consumption (Logothetis, Pauls et al. 2001), interpretation of gene effects is limited.”
From Developmental imaging genetics: Linking dopamine function to adolescent behavior (2014) · cites this paper as Logothetis, Pauls et al. 2001
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
Pellerin, L., & Magistretti, P. J. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.22.10625 · Cited by 2,927
Neuronal Synchrony: A Versatile Code for the Definition of Relations?
Singer, W. (1999) · Neuron · doi:10.1016/s0896-6273(00)80821-1 · Cited by 2,581
Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1
Boynton, G., Engel, S., Glover, G., & Heeger, D. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-13-04207.1996 · Cited by 2,522
Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex
Gray, C. M., & Singer, W. (1989) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.86.5.1698 · Cited by 2,463
Coherent oscillations: A mechanism of feature linking in the visual cortex?
Eckhorn, R., Bauer, R., Jordan, W., Brosch, M., Kruse, W., Munk, M., & Reitboeck, H. J. (1988) · Biological Cybernetics · doi:10.1007/bf00202899 · Cited by 2,329
Time course EPI of human brain function during task activation
Bandettini, P. A., Wong, E. C., Hinks, R. S., Tikofsky, R. S., & Hyde, J. S. (1992) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910250220 · Cited by 1,935
Multi-planar image formation using NMR spin echoes
Mansfield, P. (1977) · Journal of Physics C Solid State Physics · doi:10.1088/0022-3719/10/3/004 · Cited by 1,809
Synchronization of cortical activity and its putative role in information processing and learning
Singer, W. (1993) · Annual Review of Physiology · doi:10.1146/annurev.ph.55.030193.002025 · Cited by 1,685
Dynamics of blood flow and oxygenation changes during brain activation: the Balloon model
Buxton, R. B., Wong, E. C., & Frank, L. R. (1998) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910390602 · Cited by 1,665
Research works printed but not linked: 2
- Juergens, E., Eckhorn, R., Frien, A. & Woelbern, T. Brain and Evolution 418 (Thieme, Berlin, 1996).
- Sokoloff, L. in Basic Neurochemistry (eds Siegel, G., Agranoff, B., Albers, R. W. & Molinoff, P.) 565–590 (Raven, New York, 1989).
Cited by
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Niv, Y., & Schoenbaum, G. M. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.03.006 · Cited by 377
Taylor, J. S. H., Rastle, K., & Davis, M. H. (2012) · Psychological Bulletin · doi:10.1037/a0030266 · Cited by 386
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Logothetis, N. K., Augath, M. A., Murayama, Y., Rauch, A., Sultan, F. R., Goense, J. B. M., Oeltermann, A., & Merkle, H. (2010) · Nature Neuroscience · doi:10.1038/nn.2631 · Cited by 353
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Yuan, H., Zotev, V., Phillips, R., Drevets, W. C., & Bodurka, J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.031 · Cited by 352
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Cabral, J., Kringelbach, M. L., & Deco, G. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.12.005 · Cited by 351
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Floyer-Lea, A., & Matthews, P. M. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01092.2003 · Cited by 349
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Smith, A. J., Blumenfeld, H., Behar, K. L., Rothman, D. L., Shulman, R. G., & Hyder, F. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.132272199 · Cited by 349
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Tallon‐Baudry, C., Bertrand, O., Hénaff, M., Isnard, J., & Fischer, C. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh167 · Cited by 348
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Huber, L., Handwerker, D. A., Jangraw, D. C., Chen, G., Hall, A., Stüber, C., González-Castillo, J., Ivanov, D., Marrett, S., Guidi, M., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.11.005 · Cited by 341
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The disunity of consciousness.
Zeki, S. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(03)00081-0 · Cited by 337
Magri, C., Schridde, U., Murayama, Y., Panzeri, S., & Logothetis, N. K. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.3985-11.2012 · Cited by 356
Self-citationHuman fMRI evidence for the neural correlates of preparatory set
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Sawamura, H., Orban, G. A., & Vogels, R. (2006) · Neuron · doi:10.1016/j.neuron.2005.11.028 · Cited by 338
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Vanduffel, W., Fize, D., Peuskens, H., Denys, K., Sunaert, S. G., Todd, J. T., & Orban, G. A. (2002) · Science · doi:10.1126/science.1073574 · Cited by 330
The role of the striatum in aversive learning and aversive prediction errors
Delgado, M. R., Li, J., Schiller, D., & Phelps, E. A. (2008) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2008.0161 · Cited by 328
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HEGDE, J. (2007) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2007.09.001 · Cited by 348
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Seitzman, B. A., Abell, M., Bartley, S. C., Erickson, M. A., Bolbecker, A. R., & Hetrick, W. P. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.10.002 · Cited by 344
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Henson, R. (2005) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/02724980443000502 · Cited by 327
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Haynes, J., & Rees, G. E. (2005) · Current Biology · doi:10.1016/j.cub.2005.06.026 · Cited by 327
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LIEBERMAN, P. H. (2002) · American Journal of Physical Anthropology · doi:10.1002/ajpa.10171 · Cited by 331
González-Castillo, J., Saad, Z. S., Handwerker, D. A., Inati, S., Brenowitz, N., & Bandettini, P. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121049109 · Cited by 334
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Lachaux, J.-P., Fonlupt, P., Kahane, P., Minotti, L., Hoffmann, D., Bertrand, O., & Baciu, M. (2007) · Human Brain Mapping · doi:10.1002/hbm.20352 · Cited by 326
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He, B. J., & Raichle, M. E. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.04.004 · Cited by 332
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Lachaux, J.-P., Rudrauf, D., & Kahane, P. (2003) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2004.01.018 · Cited by 324
O'Doherty, J. P., Buchanan, T. W., Seymour, B., & Dolan, R. J. (2006) · Neuron · doi:10.1016/j.neuron.2005.11.014 · Cited by 322
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Bihan, D. L. (2007) · Physics in Medicine and Biology · doi:10.1088/0031-9155/52/7/r02 · Cited by 320
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Numerical representation in the parietal lobes: Abstract or not abstract?
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Yoon, J. H., Minzenberg, M., Ursu, S., Walters, R., Wendelken, C., Ragland, J. D., & Carter, C. S. (2008) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2008.07060945 · Cited by 326
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Stark, D. E., Margulies, D. S., Shehzad, Z. E., Reiss, P. T., Kelly, C. A. M., Uddin, L. Q., Gee, D. G., Roy, A. K., Banich, M. T., Castellanos, F. X., et al. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.4544-08.2008 · Cited by 324
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“One potential explanation is that the hemodynamic responses measured by fMRI are actually better correlated with cortical oscillatory activity than with neuronal firing (Mathiesen et al., 1998; Logothetis et al., 2001; Behav Brain Res.”
BackgroundSingh, K. D., & Fawcett, I. P. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.01.051 · Cited by 312
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Murray, M. M., Wylie, G. R., Higgins, B. A., Javitt, D. C., Schroeder, C. E., & Foxe, J. J. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-12-05055.2002 · Cited by 311
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Eichele, T., Specht, K., Moosmann, M., Jongsma, M. L. A., Quiroga, R. Q., Nordby, H., & Hugdahl, K. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0505508102 · Cited by 308
Sheth, S. A., Nemoto, M., Guiou, M., Walker, M., Pouratian, N., & Toga, A. W. (2004) · Neuron · doi:10.1016/s0896-6273(04)00221-1 · Cited by 308
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Cassot, F., Lauwers, F., Fouard, C., Prohaska, S., & Lauwers‐Cancès, V. (2006) · Microcirculation · doi:10.1080/10739680500383407 · Cited by 291
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Metadata
- Authors
- Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A.
- Affiliations
- Max Planck Institute for Biological Cybernetics (DE)
- Max Planck Society (DE)
- Corresponding author
- Logothetis, Nikos K.
- ORCID
- Logothetis, Nikos K.
- Venue
- Nature
- Published
- 2001-07-12
- Volume
- 412
- Issue
- 6843
- Pages
- 150-157
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2114104729
- Cited by
- 6,551
- References
- 50
- Citations by year
- 2026: 182 · 2025: 226 · 2024: 197 · 2023: 209 · 2022: 245 · 2021: 286 · 2020: 244 · 2019: 301 · 2018: 234 · 2017: 311 · 2016: 258 · 2015: 297 · 2014: 288 · 2013: 298 · 2012: 321
- FWCI
- 168.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- Max-Planck-Gesellschaft
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- BOLD signal, local field potentials, intracortical recording, neurovascular coupling, hemodynamic response, visual cortex, linear systems analysis, impulse response, monkeys, neural activity estimation
- MeSH terms
- Action Potentials, Animals, Electrodes, Electrophysiology, Hemodynamics, Macaca mulatta, Magnetic Resonance Imaging, Synaptic Transmission, Neurons, Oxygen, Photic Stimulation, Signal Processing, Computer-Assisted, Visual Cortex, Contrast Sensitivity
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