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.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Local field potentials and tissue oxygen response, which directly contribute to the generation of the BOLD signals, were preserved at both low and high frequencies.
“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
fMRI signals in secondary visual areas can serve as a rough surrogate of V1 output.
“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
During simultaneous recordings with sensory stimulation, the BOLD response correlates more with LFP than MUA.
“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]
The fMRI signal primarily originates from synaptic activity in gray matter rather than from spiking activity.
“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]
The BOLD response is thought to be generated by local excitatory synaptic activity, leading to precisely localised changes in blood flow in response to the release of glutamate.
“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
The fMRI BOLD signal reflects in part the input into an area and intrinsic computations within it.
“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
The association between fast gamma oscillations and whole-brain vascular hyperactivity has also been observed under anesthesia in previous EEG-fMRI and intrinsic optical signal (IOS)-fMRI studies.
“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]
Gradient echo T2*-weighted echo-planar images sensitive to the BOLD contrast were acquired as an index of local increases in synaptic activity.
“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]
fMRI is one of the most common and reliable methods of measuring brain function at decent spatial and temporal resolutions, but because it is an indirect measure of brain activity, interpretation of gene effects is limited.
“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
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 · see citing works
Pellerin, L., & Magistretti, P. J. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.22.10625 · Cited by 2,927 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Mass Action in the Nervous System
Freeman, W. J. (1975) · Elsevier eBooks · doi:10.1016/c2009-0-03145-6 · Cited by 1,579 · see citing works
Mass action in the nervous system
Freeman, W. J. (1975) · Cited by 1,480 · see citing works
Magistretti, P. J., Pellerin, L., Rothman, D. L., & Shulman, R. G. (1999) · Science · doi:10.1126/science.283.5401.496 · Cited by 1,170 · see citing works
FLASH imaging: Rapid NMR imaging using low flip-angle pulses
Haase, A., Frahm, J., Matthaei, D., Hänicke, W., & Merboldt, K. D. (2011) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2011.09.021 · Cited by 1,153 · see citing works
Malonek, D., & Grinvald, A. (1996) · Science · doi:10.1126/science.272.5261.551 · Cited by 1,095 · see citing works
Coherent 25- to 35-Hz oscillations in the sensorimotor cortex of awake behaving monkeys.
Murthy, V. N., & Fetz, E. E. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5670 · Cited by 996 · see citing works
Linearity and Normalization in Simple Cells of the Macaque Primary Visual Cortex
Carandini, M., Heeger, D. J., & Movshon, J. A. (1997) · Journal of Neuroscience · doi:10.1523/jneurosci.17-21-08621.1997 · Cited by 926 · see citing works
Stoichiometric coupling of brain glucose metabolism and glutamatergic neuronal activity.
Sibson, N. R., Dhankhar, A., Mason, G. F., Rothman, D. L., Behar, K. L., & Shulman, R. G. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.1.316 · Cited by 897 · see citing works
Automatic, localized in Vivo adjustment of all first‐and second‐order shim coils
Gruetter, R. (1993) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910290613 · Cited by 875 · see citing works
FLASH imaging. Rapid NMR imaging using low flip-angle pulses
Haase, A., Frahm, J., Matthaei, D., Hänicke, W., & Merboldt, K. D. (1986) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(86)90433-6 · Cited by 826 · see citing works
(2002) · Elsevier eBooks · doi:10.1016/b978-0-12-693019-1.x5000-x · Cited by 713 · see citing works
Coding of image contrast in central visual pathways of the macaque monkey
Sclar, G., Maunsell, J. H. R., & Lennie, P. (1990) · Vision Research · doi:10.1016/0042-6989(90)90123-3 · Cited by 663 · see citing works
A direct quantitative relationship between the functional properties of human and macaque V5
Rees, G. E., Friston, K. J., & Koch, C. (2000) · Nature Neuroscience · doi:10.1038/76673 · Cited by 650 · see citing works
Shadlen, M. N., & Movshon, J. A. (1999) · Neuron · doi:10.1016/s0896-6273(00)80822-3 · Cited by 606 · see citing works
Ogawa, S., & Lee, T. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910160103 · Cited by 565 · see citing works
Human oscillatory brain activity near 40 Hz coexists with cognitive temporal binding.
Joliot, M., Ribary, U., & Llinas, R. H. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.24.11748 · Cited by 543 · see citing works
Functional imaging of the monkey brain
Logothetis, N. K., GUGGENBERGER, H., Peled, S., & Pauls, J. (1999) · Nature Neuroscience · doi:10.1038/9210 · Cited by 539 · see citing works
Self-citationNeuronal basis of contrast discrimination
Boynton, G. M., Demb, J. B., Glover, G. H., & Heeger, D. J. (1999) · Vision Research · doi:10.1016/s0042-6989(98)00113-8 · Cited by 391 · see citing works
Dynamic MR imaging of human brain oxygenation during rest and photic stimulation
Frahm, J., Bruhn, H., Merboldt, K., & Hänicke, W. (1992) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880020505 · Cited by 385 · see citing works
Mass action in the nervous system
Walter, D. O. (1976) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(76)90110-3 · Cited by 377 · see citing works
Menon, V., Ford, J. M., Lim, K. O., Glover, G. H., & Adolf Pfefferbaum, A. (1997) · Neuroreport · doi:10.1097/00001756-199709290-00007 · Cited by 358 · see citing works
Frahm, J., Krüger, G., Merboldt, K., & Kleinschmidt, A. K. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910350202 · Cited by 327 · see citing works
EEG-triggered functional MRI of interictal epileptiform activity in patients with partial seizures
Krakow, K., Woermann, F. G., Symms, M. R., Allen, P. J., Lemieux, L., Barker, G. J., Duncan, J. S., & Fish, D. R. (1999) · Brain · doi:10.1093/brain/122.9.1679 · Cited by 305 · see citing works
Brain activation in the processing of Chinese characters and words: A functional MRI study
Tan, L., Spinks, J. A., Gao, J., Liu, H., Perfetti, C. A., Xiong, J., Stofer, K. A., Pu, Y., Liu, Y., & Fox, P. T. (2000) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(200005)10:1 · Cited by 304 · see citing works
Imaging at high magnetic fields: initial experiences at 4 T.
Uǧurbil, K., Garwood, M., Ellermann, J., Hendrich, K. S., Hinke, R. M., Hu, X. P., Kim, S. G., Menon, R. S., Merkle, H., & Ogawa, S. (1993) · PubMed · Cited by 282 · see citing works
Mitzdorf, U. (1987) · International Journal of Neuroscience · doi:10.3109/00207458708985928 · Cited by 280 · see citing works
Evaluation of the early response in fMRI in individual subjects using short stimulus duration
Hu, X. P., Le, T. H., & Uǧurbil, K. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910370612 · Cited by 255 · see citing works
Rothman, D. L., Sibson, N. R., Hyder, F., Shen, J., Behar, K. L., & Shulman, R. G. (1999) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.1999.0472 · Cited by 225 · see citing works
Legatt, A. D., Arezzo, J. C., & Vaughan, H. G. (1980) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(80)90061-8 · Cited by 193 · see citing works
Role of sodium and potassium ions in regulation of glucose metabolism in cultured astroglia.
Takahashi, S., Driscoll, B. F., Law, M. J., & Sokoloff, L. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.10.4616 · Cited by 184 · see citing works
Echo-Planar Imaging: Theory, Technique and Application
Schmitt, F., Stehling, M. K., Turner, R., & Bandettini, P. A. (2012) · Medical Entomology and Zoology · Cited by 170 · see citing works
Jürgens, E., Guettler, A., & Eckhorn, R. (1999) · Experimental Brain Research · doi:10.1007/s002210050895 · Cited by 154 · see citing works
Interpreting functional imaging studies in terms of neurotransmitter cycling
Shulman, R. G., & Rothman, D. L. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.20.11993 · Cited by 149 · see citing works
Eckhorn, R., & Thomas, U. (1993) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(93)90121-7 · Cited by 141 · see citing works
Visual evoked potential (VEP) measured by simultaneous 64-channel EEG and 3T fMRI
Bonmassar, G., Anami, K., Ives, J. R., & Belliveau, J. W. (1999) · Neuroreport · doi:10.1097/00001756-199906230-00018 · Cited by 140 · see citing works
Schmitt, F., Stehling, M. K., & Turner, R. (1998) · Springer eBooks · doi:10.1007/978-3-642-80443-4 · Cited by 136 · see citing works
Menon, R. S., Ogawa, S., Kim, S., Ellermann, J., Merkle, H., Tank, D. W., & Uǧurbil, K. (1992) · Investigative Radiology · doi:10.1097/00004424-199212002-00009 · Cited by 123 · see citing works
Combined EEG and MEG recordings of visual 40 Hz responses to illusory triangles in human
Tallon‐Baudry, C., Bertrand, O., Wienbruch, C., Roß, B., & Pantev, C. (1997) · Neuroreport · doi:10.1097/00001756-199703240-00008 · Cited by 116 · see citing works
Heß, A., Stiller, D., Kaulisch, T., Heil, P. F., & Scheich, H. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-09-03328.2000 · Cited by 102 · see citing works
Rainer, G., Augath, M. A., Trinath, T., & Logothetis, N. K. (2001) · Current Biology · doi:10.1016/s0960-9822(01)00242-1 · Cited by 95 · see citing works
Self-citationKrüger, G., Kleinschmidt, A. K., & Frahm, J. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910350602 · Cited by 94 · see citing works
Freeman, W. (1975) · Elsevier eBooks · doi:10.1016/b978-0-12-267150-0.50007-3 · Cited by 2 · see citing works
Wheeler-Kingshott (2000) · doi:10.1002/1522-2594(200011)44:5
Flagged first, then by citations
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
Sorted by citations
Complex networks: structure and dynamics
BOCCALETTI, S., LATORA, V, MORENO, Y., CHAVEZ, M., & HWANG, D. (2006) · Physics Reports · doi:10.1016/j.physrep.2005.10.009 · Cited by 11,010 · see citing works
A mechanism for cognitive dynamics: neuronal communication through neuronal coherence.
Fries, P. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.08.011 · Cited by 4,284 · see citing works
EEG alpha oscillations: The inhibition–timing hypothesis
Klimesch, W., Sauseng, P., & Hanslmayr, S. (2006) · Brain Research Reviews · doi:10.1016/j.brainresrev.2006.06.003 · Cited by 3,890 · see citing works
What we can do and what we cannot do with fMRI
Logothetis, N. K. (2008) · Nature · doi:10.1038/nature06976 · Cited by 3,612 · see citing works
Self-citationSearching for a baseline: Functional imaging and the resting human brain
Gusnard, D. A., & Raichle, M. E. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094500 · Cited by 3,371 · see citing works
Representational similarity analysis-connecting the branches of systems neuroscience
Kriegeskorte, N. (2008) · Frontiers in Systems Neuroscience · doi:10.3389/neuro.06.004.2008 · Cited by 3,355 · see citing works
Shaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition
Jensen, O., & Mazaheri, A. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00186 · Cited by 3,237 · see citing works
Why do many psychiatric disorders emerge during adolescence?
Paus, T., Keshavan, M., & Giedd, J. N. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2513 · Cited by 3,123 · see citing works
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 · see citing works
Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI
Yu-Feng, Z., Yong, H., Chao-Zhe, Z., Qing-Jiu, C., Man-Qiu, S., Meng, L., Li-Xia, T., Tian-Zi, J., & Yu-Feng, W. (2007) · Brain and Development · doi:10.1016/j.braindev.2006.07.002 · Cited by 2,660 · see citing works
High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex
Canolty, R. T., Edwards, E., Dalal, S. S., Soltani, M., Nagarajan, S. S., Kirsch, H. E., Berger, M. S., Barbaro, N. M., & Knight, R. T. (2006) · Science · doi:10.1126/science.1128115 · Cited by 2,650 · see citing works
Glial and neuronal control of brain blood flow
Attwell, D., Buchan, A. M., Charpak, S., Lauritzen, M., MacVicar, B. A., & Newman, E. A. (2010) · Nature · doi:10.1038/nature09613 · Cited by 2,511 · see citing works
Visual attention: The past 25 years
Carrasco, M. (2011) · Vision Research · doi:10.1016/j.visres.2011.04.012 · Cited by 2,462 · see citing works
Serotonin transporter genetic variation and the response of the human amygdala.
Hariri, A. R., Mattay, V. S., Tessitore, A., Kolachana, B., Fera, F., Goldman, D., Egan, M. F., & Weinberger, D. R. (2002) · Science · doi:10.1126/science.1071829 · Cited by 2,340 · see citing works
The brain basis of emotion: a meta-analytic review
Lindquist, K. A., Wager, T. D., Kober, H., Bliss-Moreau, E., & Barrett, L. F. (2012) · Behavioral and Brain Sciences · doi:10.1017/s0140525x11000446 · Cited by 2,320 · see citing works
“…signals during fMRI do, in fact, match measures of integrated synaptic activity in the vast majority of cases, as evidenced by both direct studies (e.g., Logothetis et al. 2001) and convergence between animal studies and human meta-analyses across many fields (see Van Snellenberg & Wager 2009).”
Repetition and the brain: neural models of stimulus-specific effects
Grill-Spector, K., Henson, R., & Martin, A. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.11.006 · Cited by 2,256 · see citing works
Neurovascular regulation in the normal brain and in Alzheimer's disease
Iadecola, C. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1387 · Cited by 2,213 · see citing works
A default mode of brain function: a brief history of an evolving idea
Raichle, M. E., & Snyder, A. Z. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.041 · Cited by 2,173 · see citing works
Zou, Q., Zhu, C.-Z., Yang, Y., Zuo, X., Long, X., Cao, Q., Wang, Y., & Zang, Y. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2008.04.012 · Cited by 2,169 · see citing works
Neuroeconomics: How Neuroscience Can Inform Economics
Camerer, C. F., Loewenstein, G. F., & Prelec, D. (2005) · Journal of Economic Literature · doi:10.1257/0022051053737843 · Cited by 2,146 · see citing works
Brain Computer Interfaces, a Review
Nicolas-Alonso, L. F., & Gomez-Gil, J. (2012) · Sensors · doi:10.3390/s120201211 · Cited by 2,143 · see citing works
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939 · see citing works
Electrophysiological signatures of resting state networks in the human brain
Mantini, D., Perrucci, M. G., Del Gratta, C., Romani, G. L., & Corbetta, M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0700668104 · Cited by 1,938 · see citing works
REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing
Song, X., Dong, Z.-Y., Long, X., Li, S., Zuo, X., Zhu, C.-Z., Yong He, A., Yan, C., & Zang, Y. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025031 · Cited by 1,864 · see citing works
Nichols, D. E. (2016) · Pharmacological Reviews · doi:10.1124/pr.115.011478 · Cited by 1,762 · see citing works
Michel, C. M., Murray, M. M., Lantz, G., Gonzalez, S., Spinelli, L., & de Peralta, R. G. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.06.001 · Cited by 1,663 · see citing works
The Influences of Emotion on Learning and Memory
Chai, M. T., Amin, H. U., Saad, M. N. M., & Malik, A. S. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01454 · Cited by 1,652 · see citing works
Dynamic Brain Sources of Visual Evoked Responses
Makeig, S., Westerfield, M., Jung, T.-P., Enghoff, S., Townsend, J., Courchesne, E., & Sejnowski, T. J. (2002) · Science · doi:10.1126/science.1066168 · Cited by 1,630 · see citing works
Raichle, M. E., & Mintun, M. A. (2006) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.112819 · Cited by 1,630 · see citing works
Imitation, empathy, and mirror neurons
Iacoboni, M. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.60.110707.163604 · Cited by 1,606 · see citing works
Logothetis, N. K., & Wandell, B. A. (2004) · Annual Review of Physiology · doi:10.1146/annurev.physiol.66.082602.092845 · Cited by 1,568 · see citing works
Self-citationImaging the developing brain: what have we learned about cognitive development?
CASEY, B., TOTTENHAM, N., LISTON, C., & DURSTON, S. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.01.011 · Cited by 1,556 · see citing works
Neuron-to-astrocyte signaling is central to the dynamic control of brain microcirculation
Zonta, M., Angulo, M. C., Gobbo, S., Rosengarten, B., Hossmann, K.-A., Pozzan, T., & Carmignoto, G. (2002) · Nature Neuroscience · doi:10.1038/nn980 · Cited by 1,446 · see citing works
On the interpretation of weight vectors of linear models in multivariate neuroimaging
Haufe, S., Meinecke, F. C., Görgen, K., Dähne, S., Haynes, J., Blankertz, B., & Bießmann, F. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.067 · Cited by 1,367 · see citing works
Mapping brain maturation and cognitive development during adolescence
Paus, T. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.12.008 · Cited by 1,348 · see citing works
Decoding reveals the contents of visual working memory in early visual areas
Harrison, S. A., & Tong, F. (2009) · Nature · doi:10.1038/nature07832 · Cited by 1,347 · see citing works
Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey
Kriegeskorte, N., Mur, M., Ruff, D. A., Kiani, R., Bodurka, J., Esteky, H., Tanaka, K., & Bandettini, P. A. (2008) · Neuron · doi:10.1016/j.neuron.2008.10.043 · Cited by 1,334 · see citing works
Closed-loop brain training: the science of neurofeedback
Sitaram, R., Ros, T., Stoeckel, L., Haller, S., Scharnowski, F., Lewis-Peacock, J., Weiskopf, N., Blefari, M. L., Rana, M., Oblak, E., et al. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.164 · Cited by 1,306 · see citing works
The cognitive neuroscience of ageing
Grady, C. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3256 · Cited by 1,286 · see citing works
A Cellular Perspective on Brain Energy Metabolism and Functional Imaging
Magistretti, P. J., & Allaman, I. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.035 · Cited by 1,285 · see citing works
Interactions between number and space in parietal cortex
Hubbard, E. M., Manuela Piazza, A., Pinel, P., & Dehaene, S. (2005) · Nature reviews. Neuroscience · doi:10.1038/nrn1684 · Cited by 1,263 · see citing works
Normal and pathological oscillatory communication in the brain
Schnitzler, A., & Groß, J. (2005) · Nature reviews. Neuroscience · doi:10.1038/nrn1650 · Cited by 1,229 · see citing works
Modeling the hemodynamic response to brain activation
Buxton, R. B., Uludaǧ, K., Dubowitz, D. J., & Liu, T. T. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.013 · Cited by 1,222 · see citing works
Neural reuse: A fundamental organizational principle of the brain
Anderson, M. L. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x10000853 · Cited by 1,212 · see citing works
Coupled electrophysiological, hemodynamic, and cerebrospinal fluid oscillations in human sleep
Fultz, N. E., Bonmassar, G., Setsompop, K., Stickgold, R. A., Rosen, B. R., Polimeni, J. R., & Lewis, L. D. (2019) · Science · doi:10.1126/science.aax5440 · Cited by 1,197 · see citing works
Population receptive field estimates in human visual cortex
Dumoulin, S. O., & Wandell, B. A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.034 · Cited by 1,183 · see citing works
Gläscher, J., Daw, N., Dayan, P., & O'Doherty, J. P. (2010) · Neuron · doi:10.1016/j.neuron.2010.04.016 · Cited by 1,166 · see citing works
A Cortical Region Consisting Entirely of Face-Selective Cells
Tsao, D. Y., Freiwald, W. A., Tootell, R. B. H., & Livingstone, M. S. (2006) · Science · doi:10.1126/science.1119983 · Cited by 1,131 · see citing works
Neuronal Reward and Decision Signals: From Theories to Data
Schultz, W. (2015) · Physiological Reviews · doi:10.1152/physrev.00023.2014 · Cited by 1,126 · see citing works
Large-scale cortical correlation structure of spontaneous oscillatory activity
Hipp, J. F., Hawellek, D. J., Corbetta, M., Siegel, M., & Engel, A. K. (2012) · Nature Neuroscience · doi:10.1038/nn.3101 · Cited by 1,113 · see citing works
What does fMRI tell us about neuronal activity?
Heeger, D. J., & Ress, D. B. (2002) · Nature reviews. Neuroscience · doi:10.1038/nrn730 · Cited by 1,078 · see citing works
Neural responses during anticipation of a primary taste reward
O'Doherty, J. P., Deichmann, R., Critchley, H. D., & Dolan, R. J. (2002) · Neuron · doi:10.1016/s0896-6273(02)00603-7 · Cited by 1,076 · see citing works
Blake, R., & Logothetis, N. K. (2002) · Nature reviews. Neuroscience · doi:10.1038/nrn701 · Cited by 1,073 · see citing works
Self-citationPerlmutter, J. S., & Mink, J. W. (2006) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.112824 · Cited by 1,073 · see citing works
BOLD correlates of EEG topography reveal rapid resting-state network dynamics
Britz, J., Van De Ville, D., & Michel, C. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.052 · Cited by 1,070 · see citing works
Imaging structural co-variance between human brain regions
Alexander-Bloch, A., Giedd, J. N., & Bullmore, E. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3465 · Cited by 1,064 · see citing works
The structural basis of inter-individual differences in human behaviour and cognition
Kanai, R., & Rees, G. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3000 · Cited by 1,055 · see citing works
Debener, S., Ullsperger, M., Siegel, M., Fiehler, K., von Cramon, D. Y., & Engel, A. K. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.3286-05.2005 · Cited by 1,055 · see citing works
Laufs, H., Krakow, K., Sterzer, P., Eger, E., Beyerle, A., Salek-Haddadi, A., & Kleinschmidt, A. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1831638100 · Cited by 1,028 · see citing works
EEG-correlated fMRI of human alpha activity
Laufs, H., Kleinschmidt, A., Beyerle, A., Eger, E., Salek-Haddadi, A., Preibisch, C., & Krakow, K. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00286-6 · Cited by 1,025 · see citing works
The anatomical basis of functional localization in the cortex
Passingham, R. E., Stephan, K. E., & Kötter, R. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn893 · Cited by 1,024 · see citing works
The Underpinnings of the BOLD Functional Magnetic Resonance Imaging Signal
Logothetis, N. K. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-10-03963.2003 · Cited by 1,024 · see citing works
Self-citationCoupling Between Neuronal Firing, Field Potentials, and fMRI in Human Auditory Cortex
Mukamel, R., Gelbard, H., Arieli, A., Hasson, U., Fried, I., & Malach, R. (2005) · Science · doi:10.1126/science.1110913 · Cited by 1,023 · see citing works
Network abnormalities and interneuron dysfunction in Alzheimer disease
Palop, J. J., & Mucke, L. (2016) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.141 · Cited by 1,022 · see citing works
Mapping directed influence over the brain using Granger causality and fMRI
Roebroeck, A. F., Formisano, E., & Goebel, R. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.11.017 · Cited by 1,012 · see citing works
Neural correlates of motor recovery after stroke: a longitudinal fMRI study
Ward, N. (2003) · Brain · doi:10.1093/brain/awg245 · Cited by 1,003 · see citing works
Magnetoencephalography for Brain Electrophysiology and Imaging
Baillet, S. (2017) · Nature Neuroscience · doi:10.1038/nn.4504 · Cited by 992 · see citing works
Phase Patterns of Neuronal Responses Reliably Discriminate Speech in Human Auditory Cortex
Luo, H., & Poeppel, D. (2007) · Neuron · doi:10.1016/j.neuron.2007.06.004 · Cited by 976 · see citing works
Reward, Motivation, and Emotion Systems Associated With Early-Stage Intense Romantic Love
Aron, A., Fisher, H., Mashek, D. J., Strong, G., Li, H., & Brown, L. L. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00838.2004 · Cited by 963 · see citing works
The neural basis of functional brain imaging signals
Attwell, D., & Iadecola, C. (2002) · Trends in Neurosciences · doi:10.1016/s0166-2236(02)02264-6 · Cited by 957 · see citing works
Neural mechanisms for the recognition of biological movements
Giese, M. A., & Poggio, T. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1057 · Cited by 955 · see citing works
The neural basis of the blood–oxygen–level–dependent functional magnetic resonance imaging signal
Logothetis, N. K. (2002) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2002.1114 · Cited by 952 · see citing works
Self-citationAdvances and pitfalls in the analysis and interpretation of resting-state FMRI data
Cole, D. M. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00008 · Cited by 950 · see citing works
New Insights into Neuron-Glia Communication
Fields, R. D., & Stevens, B. (2002) · Science · doi:10.1126/science.298.5593.556 · Cited by 947 · see citing works
Neural basis of global resting-state fMRI activity
Schölvinck, M. L., Maier, A., Ye, F. Q., Duyn, J. H., & Leopold, D. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913110107 · Cited by 939 · see citing works
The Nucleus Accumbens: An Interface Between Cognition, Emotion, and Action
Floresco, S. B. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010213-115159 · Cited by 938 · see citing works
The default mode network in cognition: a topographical perspective
Smallwood, J., Bernhardt, B. C., Leech, R., Bzdok, D., Jefferies, E., & Margulies, D. S. (2021) · Nature Reviews Neuroscience · doi:10.1038/s41583-021-00474-4 · Cited by 935 · see citing works
Brain–computer interfaces for communication and rehabilitation
Chaudhary, U., Birbaumer, N., & Ramos-Murguialday, A. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2016.113 · Cited by 928 · see citing works
van Kerkoerle, T., Self, M. W., Dagnino, B., Gariel-Mathis, M.-A., Poort, J., van der Togt, C., & Roelfsema, P. R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1402773111 · Cited by 918 · see citing works
Shmuel, A., Augath, M., Oeltermann, A., & Logothetis, N. K. (2006) · Nature Neuroscience · doi:10.1038/nn1675 · Cited by 898 · see citing works
Self-citationBeyond the Visible???Imaging the Human Brain With Light
Obrig, H., & Villringer, A. (2003) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/01.wcb.0000043472.45775.29 · Cited by 894 · see citing works
Mattay, V. S., Goldberg, T. E., Fera, F., Hariri, A. R., Tessitore, A., Egan, M. F., Kolachana, B., Callicott, J. H., & Weinberger, D. R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0931309100 · Cited by 893 · see citing works
Appraising the brain's energy budget
Raichle, M. E., & Gusnard, D. A. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.172399499 · Cited by 888 · see citing works
Competition among multiple memory systems: converging evidence from animal and human brain studies
Poldrack, R. A., & Packard, M. G. (2003) · Neuropsychologia · doi:10.1016/s0028-3932(02)00157-4 · Cited by 880 · see citing works
The neural systems that mediate human perceptual decision making
Heekeren, H. R., Marrett, S., & Ungerleider, L. G. (2008) · Nature reviews. Neuroscience · doi:10.1038/nrn2374 · Cited by 877 · see citing works
Brain Imaging in Alzheimer Disease
Johnson, K. A., Fox, N. C., Sperling, R. A., & Klunk, W. E. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006213 · Cited by 875 · see citing works
Multiple neural spike train data analysis: state-of-the-art and future challenges
Brown, E. N., Kass, R. E., & Mitra, P. P. (2004) · Nature Neuroscience · doi:10.1038/nn1228 · Cited by 857 · see citing works
Brunel, N., & Wang, X. (2003) · Journal of Neurophysiology · doi:10.1152/jn.01095.2002 · Cited by 854 · see citing works
Alterations in the BOLD fMRI signal with ageing and disease: a challenge for neuroimaging
D’Esposito, M., Deouell, L. Y., & Gazzaley, A. H. (2003) · Nature reviews. Neuroscience · doi:10.1038/nrn1246 · Cited by 852 · see citing works
Visual speech speeds up the neural processing of auditory speech
van Wassenhove, V., Grant, K. W., & Poeppel, D. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0408949102 · Cited by 843 · see citing works
Stimulus-Specific Delay Activity in Human Primary Visual Cortex
Serences, J. T., Ester, E. F., Vogel, E. K., & Awh, E. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02276.x · Cited by 833 · see citing works
Hemodynamic Signals Correlate Tightly with Synchronized Gamma Oscillations
Niessing, J., Ebisch, B., Schmidt, K. E., Niessing, M., Singer, W., & Galuske, R. A. W. (2005) · Science · doi:10.1126/science.1110948 · Cited by 806 · see citing works
Analyzing and modeling real-world phenomena with complex networks: a survey of applications
Costa, L. D. F., Oliveira, O. N., Travieso, G., Rodrigues, F. A., Villas-Boas, P. R., Antiqueira, L., Viana, M. P., & Rocha, L. E. C. (2011) · Advances In Physics · doi:10.1080/00018732.2011.572452 · Cited by 804 · see citing works
Ehrsson, H. H., Holmes, N. P., & Passingham, R. E. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.0800-05.2005 · Cited by 784 · see citing works
Neural mechanisms for detecting and remembering novel events
Ranganath, C., & Rainer, G. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1052 · Cited by 779 · see citing works
Lang, N., Siebner, H. R., Ward, N., Lee, L., Nitsche, M. A., Paulus, W., Rothwell, J. C., Lemon, R., & Frackowiak, R. S. J. (2005) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.04233.x · Cited by 767 · see citing works
Are spatial memories strengthened in the human hippocampus during slow wave sleep?
Peigneux, P., Laureys, S., Fuchs, S., Collette, F., Perrin, F., Reggers, J., Phillips, C., Degueldre, C., Del Fiore, G., Aerts, J., et al. (2004) · Neuron · doi:10.1016/j.neuron.2004.10.007 · Cited by 766 · see citing works
Carter, A. R., Astafiev, S. V., Lang, C. E., Connor, L. T., Rengachary, J., Strube, M., Pope, D. L. W., Shulman, G. L., & Corbetta, M. (2009) · Annals of Neurology · doi:10.1002/ana.21905 · Cited by 763 · see citing works
The correlative triad among aging, dopamine, and cognition: Current status and future prospects
Bäckman, L., Nyberg, L. H., Lindenberger, U., Li, S., & Farde, L. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.005 · Cited by 761 · see citing works
Functional imaging with low-resolution brain electromagnetic tomography (LORETA): a review.
Pascual-Marqui, R. D., Esslen, M., Kochi, K., & Lehmann, D. (2002) · PubMed · Cited by 756 · see citing works
- 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
- 6,542
- References
- 50
- Citations by year
- 2026: 126 · 2025: 211 · 2024: 193 · 2023: 198 · 2022: 237 · 2021: 281 · 2020: 239 · 2019: 292 · 2018: 227 · 2017: 295 · 2016: 240 · 2015: 282 · 2014: 288 · 2013: 287 · 2012: 318
- FWCI
- 179.95
- 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)
- 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
- MeSH terms
- Action Potentials, Animals, Electrodes, Electrophysiology, Hemodynamics, Macaca mulatta, Magnetic Resonance Imaging, Synaptic Transmission, Neurons
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review