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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
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
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
Items 1,001–1,100 of 6,331
Inter-ocular contrast normalization in human visual cortex
Moradi, F., & Heeger, D. J. (2009) · Journal of Vision · doi:10.1167/9.3.13 · Cited by 122
COMT genotype predicts BOLD signal and noise characteristics in prefrontal circuits
Winterer, G., Musso, F., Vučurević, G., Stoeter, P., Konrad, A., Seker, B., Gallinat, J., Dahmen, N., & Weinberger, D. R. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.058 · Cited by 123
Li, X., Lu, Z., Tjan, B. S., Dosher, B. A., & Chu, W. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801390105 · Cited by 128
Responses to Natural Scenes in Cat V1
Kayser, C., Salazar, R. F., & Peter König, B. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00195.2003 · Cited by 122
Behavioral correlates of negative BOLD signal changes in the primary somatosensory cortex
Kastrup, A., Baudewig, J., Schnaudigel, S., Huonker, R., Becker, L., Sohns, J. M. S., Dechent, P., Klingner, C. M., & Witte, O. W. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.049 · Cited by 122
Consumer neuroscience: an overview of an emerging discipline with implications for consumer policy
Kenning, P. H., & Linzmajer, M. (2010) · Journal of Consumer Protection and Food Safety · doi:10.1007/s00003-010-0652-5 · Cited by 129
Dynamics of networks during absence seizure's on- and offset in rodents and man
Lüttjohann, A., & van Luijtelaar, G. (2015) · Frontiers in Physiology · doi:10.3389/fphys.2015.00016 · Cited by 121
Energy‐efficient neural information processing in individual neurons and neuronal networks
Yu, L., & Yu, Y. (2017) · Journal of Neuroscience Research · doi:10.1002/jnr.24131 · Cited by 125
Cerebral oxygenation during locomotion is modulated by respiration
Zhang, Q., Roche, M., Gheres, K. W., Chaigneau, E. M., Kedarasetti, R. T., Haselden, W. D., Charpak, S., & Drew, P. J. (2019) · Nature Communications · doi:10.1038/s41467-019-13523-5 · Cited by 125
Mapping and correction of vascular hemodynamic latency in the BOLD signal
Chang, C., Thomason, M. E., & Glover, G. H. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.06.030 · Cited by 121
Huttunen, J. K., Gröhn, O. H. J., & Penttonen, M. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.06.042 · Cited by 121
The Cortical Control of Visually Guided Grasping
Castiello, U., & Begliomini, C. (2007) · The Neuroscientist · doi:10.1177/1073858407312080 · Cited by 121
van der Werf, J., Jensen, O. B., Fries, P., & Medendorp, W. P. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.0630-08.2008 · Cited by 121
Mishra, A. M., Ellens, D. J., Schridde, U., Motelow, J. E., Purcaro, M. J., Desalvo, M. N., Enev, M., Sanganahalli, B. G., Hyder, F., & Blumenfeld, H. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.0101-11.2011 · Cited by 120
The Energy Use Associated with Neural Computation in the Cerebellum
Howarth, C., Peppiatt‐Wildman, C. M., & Attwell, D. (2009) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2009.231 · Cited by 124
Binding of What and Where During Working Memory Maintenance
Sala, J. B., & Courtney, S. M. (2007) · Cortex · doi:10.1016/s0010-9452(08)70442-8 · Cited by 120
The power of using functional fMRI on small rodents to study brain pharmacology and disease
Jonckers, E., Shah, D., Hamaide, J., Verhoye, M., & der Linden, A. V. (2015) · Frontiers in Pharmacology · doi:10.3389/fphar.2015.00231 · Cited by 130
Metabolic connectivity mapping reveals effective connectivity in the resting human brain
Riedl, V., Utz, L., Castrillón, G., Grimmer, T., Rauschecker, J. P., Ploner, M., Friston, K. J., Drzezga, A. E., & Sorg, C. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1513752113 · Cited by 121
The impact of ultra-high field MRI on cognitive and computational neuroimaging
Martino, F. D., Yacoub, E. S., Kemper, V. G., Moerel, M., Uludaǧ, K., Weerd, P. D., Uǧurbil, K., Goebel, R., & Formisano, E. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.060 · Cited by 125
Temporal dynamics of the BOLD fMRI impulse response
de Zwart, J. A., Silva, A. C., van Gelderen, P., Kellman, P., Fukunaga, M., Chu, R., Koretsky, A. P., Frank, J. A., & Duyn, J. H. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.09.013 · Cited by 120
Phonological decoding involves left posterior fusiform gyrus
Dietz, N. A. E., Jones, K. M., Gareau, L., Zeffiro, T. A., & Eden, G. F. (2005) · Human Brain Mapping · doi:10.1002/hbm.20122 · Cited by 124
Dien, J. (2008) · Biological Psychology · doi:10.1016/j.biopsycho.2008.04.013 · Cited by 119
Edin, F., Macoveanu, J., Olesen, P., Tegner, J. N., & Klingberg, T. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.5.750 · Cited by 125
General mechanisms for making decisions?
Rushworth, M. F. S., Mars, R. B., & Summerfield, C. (2009) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2009.02.005 · Cited by 124
Minati, L., Grisoli, M., & Bruzzone, M. G. (2007) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988706297089 · Cited by 121
Emotional Automaticity Is a Matter of Timing
Luo, Q., Holroyd, T., Majestic, C., Cheng, X., Schechter, J., & Blair, R. J. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.bc-5668-09.2010 · Cited by 118
van Pelt, S., Boomsma, D. I., & Fries, P. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5592-11.2012 · Cited by 123
Tal, N., & Amedi, A. (2009) · Experimental Brain Research · doi:10.1007/s00221-009-1949-4 · Cited by 120
The spatio-temporal mapping of epileptic networks: Combination of EEG–fMRI and EEG source imaging
Vulliémoz, S., Thornton, R., Rodionov, R., Carmichael, D. W., Guye, M., Lhatoo, S. D., McEvoy, A. W., Spinelli, L., Michel, C. M., Duncan, J. S., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.070 · Cited by 118
The Brain's Intention to Imitate: The Neurobiology of Intentional versus Automatic Imitation
Bien, N., Roebroeck, A. F., Goebel, R., & Sack, A. T. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn251 · Cited by 125
A comprehensive assessment of Brain Computer Interfaces: Recent trends and challenges
Yadav, D., Yadav, S., & Veer, K. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108918 · Cited by 118
Cortical/subcortical BOLD changes associated with epileptic discharges
Federico, P., Archer, J. S., Abbott, D. F., & Jackson, G. D. (2005) · Neurology · doi:10.1212/01.wnl.0000156358.72670.ad · Cited by 118
Wager, T. D., Vazquez, A. L., Hernández, L., & Noll, D. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.11.008 · Cited by 118
Brain signals for spatial attention predict performance in a motion discrimination task
Sapir, A., d’Avossa, G., McAvoy, M. P., Shulman, G. L., & Corbetta, M. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504678102 · Cited by 129
Foltys, H., Krings, T., Meister, I. G., Sparing, R., Boroojerdi, B., Thron, A. K., & Töpper, R. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(03)00263-3 · Cited by 118
A simultaneous ERP/fMRI investigation of the P300 aging effect
O’Connell, R. G., Balsters, J. H., Kilcullen, S. M., Campbell, W., Bokde, A. L. W., Lai, R. Y. K., Upton, N., & Robertson, I. H. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.12.021 · Cited by 131
Glabus, M. F. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg082 · Cited by 121
Pedersen, J. L., Lillesø, J., Hammer, N. A., Werner, M. U., Holte, K., Lacouture, P. G., & Kehlet, H. (2004) · Anesthesia & Analgesia · doi:10.1213/01.ane.0000131971.92180.df · Cited by 118
Bergel, A., Deffieux, T., Demené, C., Tanter, M., & Cohen, I. (2018) · Nature Communications · doi:10.1038/s41467-018-07752-3 · Cited by 117
The brain’s voices: comparing nonclinical auditory hallucinations and imagery
Linden, D. E. J., Thornton, K., Kuswanto, C. N., Johnston, S. J., van de Ven, V., & Jackson, M. C. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq097 · Cited by 117
Gao, G., Lee, J. W., Nguyen, M. K., Im, G. H., Yang, J., Heo, H., Jeon, P., Park, T. G., Lee, D. S., & Lee, D. S. (2010) · Journal of Controlled Release · doi:10.1016/j.jconrel.2010.09.012 · Cited by 117
Lecrux, C., & Hamel, É. (2016) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0350 · Cited by 126
Laminar imaging of positive and negative BOLD in human visual cortex at 7 T
Fracasso, A., Luijten, P. R., Dumoulin, S. O., & Petridou, N. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.038 · Cited by 117
He, Y., Wang, M., Chen, X., Pohmann, R., Polimeni, J. R., Scheffler, K., Rosen, B. R., Kleinfeld, D., & Yu, X. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.025 · Cited by 122
Hemodynamic response function (HRF) variability confounds resting‐state fMRI functional connectivity
Rangaprakash, D., Wu, G., Marinazzo, D., Hu, X. P., & Deshpande, G. (2018) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27146 · Cited by 128
Sensor Modalities for Brain-Computer Interface Technology: A Comprehensive Literature Review
Martini, M. L., Oermann, E. K., Opie, N. L., Panov, F. E., Oxley, T. J., & Yaeger, K. (2019) · Neurosurgery · doi:10.1093/neuros/nyz286 · Cited by 120
How not to study spontaneous activity
Logothetis, N. K., Murayama, Y., Augath, M. A., Steffen, T., Werner, J., & Oeltermann, A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.010 · Cited by 118
Self-citationFawcett, I. P., Barnes, G. R., Hillebrand, A., & Singh, K. D. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.10.045 · Cited by 117
Category-Selective Background Connectivity in Ventral Visual Cortex
Norman-Haignere, S., McCarthy, G., Chun, M. M., & Turk‐Browne, N. B. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr118 · Cited by 122
Motion Processing in the Macaque: Revisited with Functional Magnetic Resonance Imaging
Tolias, A. S., Smirnakis, S. M., Augath, M. A., Trinath, T., & Logothetis, N. K. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-21-08594.2001 · Cited by 117
Self-citationImplantable microelectrode arrays for simultaneous electrophysiological and neurochemical recordings
Johnson, M. D., Franklin, R. K., Gibson, M. D., Brown, R. B., & Kipke, D. R. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2008.06.036 · Cited by 118
Sylvester, R. J., Haynes, J., & Rees, G. E. (2005) · Current Biology · doi:10.1016/j.cub.2004.12.061 · Cited by 117
Being a self: considerations from functional imaging
Gusnard, D. A. (2005) · Consciousness and Cognition · doi:10.1016/j.concog.2005.04.004 · Cited by 116
Anenberg, E., Chan, A. W., Xie, Y., LeDue, J. M., & Murphy, T. H. (2015) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2015.140 · Cited by 122
Pan, W., Thompson, G. J., Magnuson, M. E., Majeed, W., Jaeger, D., & Keilholz, S. D. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0014 · Cited by 119
Yang, T., Magee, K. L., Colón-Pérez, L. M., Larkin, R. M., Liao, Y.-S. J., Balazic, E., Cowart, J. R., Arocha, R., Redler, T., Febo, M., et al. (2019) · Acta Physiologica · doi:10.1111/apha.13256 · Cited by 116
Reward networks in the brain as captured by connectivity measures
Càmara, E. (2009) · Frontiers in Neuroscience · doi:10.3389/neuro.01.034.2009 · Cited by 120
Spinks, R. L., Kraskov, A., Brochier, T. G., Umiltà, M. A., & Lemon, R. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1956-08.2008 · Cited by 126
Harper, R. M., Macey, P. M., Woo, M. A., Macey, K. E., Keens, T. G., Gozal, D., & Alger, J. R. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00863.2004 · Cited by 116
Activity patterns in human motion-sensitive areas depend on the interpretation of global motion
Castelo-Branco, M. S., Formisano, E., Backes, W. H., Zanella, F. E., Neuenschwander, S., Singer, W., & Goebel, R. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.202049999 · Cited by 116
The peri-ictal state: cortical excitability changes within 24 h of a seizure
Badawy, R. A. B., Macdonell, R. A. L., Jackson, G. D., & Berkovic, S. F. (2009) · Brain · doi:10.1093/brain/awp017 · Cited by 116
Huijbers, W., Vannini, P., Sperling, R. A., Pennartz, C. M. A., Cabeza, R. E. L., & Daselaar, S. M. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.08.021 · Cited by 118
Rosazza, C., Minati, L., Ghielmetti, F., Mandelli, M. L., & Bruzzone, M. G. (2011) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2733 · Cited by 128
Functional MRI of sleep spindles and K-complexes
Caporro, M., Haneef, Z., Yeh, H. J., Lenartowicz, A., Buttinelli, C., Parvizi, J., & Stern, J. M. (2011) · Clinical Neurophysiology · doi:10.1016/j.clinph.2011.06.018 · Cited by 115
Swettenham, J. B., Muthukumaraswamy, S. D., & Singh, K. D. (2009) · Journal of Neurophysiology · doi:10.1152/jn.91044.2008 · Cited by 115
Mu, Z., Hu, J., & Min, J. (2017) · Applied Sciences · doi:10.3390/app7020150 · Cited by 115
Brain activity, underlying mood and the environment: A systematic review
Norwood, M. F., Lakhani, A., Maujean, A., Zeeman, H., Creux, O., & Kendall, E. A. (2019) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2019.101321 · Cited by 115
Herff, C., Krusienski, D. J., & Kubben, P. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00123 · Cited by 123
Hemodynamic and metabolic responses to activation, deactivation and epileptic discharges
Stefanovic, B., Warnking, J. M., Kobayashi, E., Bagshaw, A. P., Hawco, C. S., Dubeau, F., Gotman, J., & Pike, G. B. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.05.038 · Cited by 115
Usefulness of simultaneous EEG–NIRS recording in language studies
Wallois, F., Mahmoudzadeh, M., Patil, A., & Grebe, R. (2011) · Brain and Language · doi:10.1016/j.bandl.2011.03.010 · Cited by 115
EEG theta synchronization conjoined with alpha desynchronization indicate intentional encoding
Mölle, M., Marshall, L., Fehm, H. L., & Born, J. (2002) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2002.01921.x · Cited by 114
Functional MRI evidence for LTP-induced neural network reorganization
Canals, S., Beyerlein, M., Merkle, H., & Logothetis, N. K. (2009) · Current Biology · doi:10.1016/j.cub.2009.01.037 · Cited by 114
Self-citationSuccessful Decoding of Famous Faces in the Fusiform Face Area
Axelrod, V., & Yovel, G. (2015) · PLoS ONE · doi:10.1371/journal.pone.0117126 · Cited by 114
Neggers, S. F. W., Hermans, E. J., & Ramsey, N. F. (2008) · NMR in Biomedicine · doi:10.1002/nbm.1235 · Cited by 114
Frontostriatal Dysfunction During Response Inhibition in Williams Syndrome
Mobbs, D., Eckert, M. A., Mills, D. L., Korenberg, J. R., Bellugi, U., Galaburda, A. M., & Reiss, A. L. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.05.041 · Cited by 116
EEG-fMRI INTEGRATION: A CRITICAL REVIEW OF BIOPHYSICAL MODELING AND DATA ANALYSIS APPROACHES
Rosa, M. J., Jean Daunizeau, A., & Friston, K. J. (2010) · Journal of Integrative Neuroscience · doi:10.1142/s0219635210002512 · Cited by 116
Functional Magnetic Resonance Imaging
Fink, G. R. (2007) · Elsevier eBooks · doi:10.1016/b978-012088592-3/50079-7 · Cited by 114
Caldwell, M., Scholkmann, F., Wolf, U., Wolf, M., Elwell, C. E., & Tachtsidis, I. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.058 · Cited by 114
Widespread temporal coding of cognitive control in the human prefrontal cortex
Smith, E. H., Horga, G., Yates, M. J., Mikell, C. B., Banks, G. P., Pathak, Y. J., Schevon, C. A., McKhann, G. M., Hayden, B. Y., Botvinick, M., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0494-0 · Cited by 117
Corresponding ECoG and fMRI category-selective signals in human ventral temporal cortex
Jacques, C., Witthoft, N., Weiner, K. S., Foster, B. L., Rangarajan, V., Hermes, D., Miller, K. J., Parvizi, J., & Kalanit Grill-spector, A. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.07.024 · Cited by 117
Lu, H., Xi, Z., Gitajn, L., Rea, W. P., Yang, Y., & Stein, E. A. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0606983104 · Cited by 114
Dynamic physiological modeling for functional diffuse optical tomography
Diamond, S. G., Huppert, T. J., Kolehmainen, V., Franceschini, M. A., Kaipio, J. P., Arridge, S., & Boas, D. A. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.016 · Cited by 114
Functional connectivity structure of cortical calcium dynamics in anesthetized and awake mice
Wright, P. W., Brier, L. M., Bauer, A. Q., Baxter, G. A., Kraft, A. W., Reisman, M. D., Bice, A. R., Snyder, A. Z., Lee, J., & Culver, J. P. (2017) · PLoS ONE · doi:10.1371/journal.pone.0185759 · Cited by 121
In memory of consolidationPreprint
Sara, S. J., & Hars, B. (2006) · Learning & Memory · doi:10.1101/lm.338406 · Cited by 116
Interactions between thalamic and cortical rhythms during semantic memory recall in human
Slotnick, S. D., Moo, L. R., Kraut, M. A., Lesser, R. P., & Hart, J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.092514899 · Cited by 113
Insights into Cortical Oscillations Arising from Optogenetic Studies
Sohal, V. S. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.01.024 · Cited by 118
Human premotor areas parse sequences into their spatial and temporal features
Kornysheva, K., & Diedrichsen, J. (2014) · eLife · doi:10.7554/elife.03043 · Cited by 113
Electrical Stimulation Mapping of the Brain: Basic Principles and Emerging Alternatives
Ritaccio, A. L., Brunner, P., & Schalk, G. (2018) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000000440 · Cited by 113
Heinzel, A., Bermpohl, F., Niese, R., Pfennig, A., Pascual‐Leone, Á., Schlaug, G., & Northoff, G. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.06.009 · Cited by 116
A Parametric Empirical Bayesian framework for fMRI‐constrained MEG/EEG source reconstruction
Henson, R. N., Flandin, G., Friston, K. J., & Mattout, J. (2010) · Human Brain Mapping · doi:10.1002/hbm.20956 · Cited by 113
Representation of Sound Categories in Auditory Cortical Maps
Guenther, F. H., Nieto-Castañón, A., Ghosh, S., & Tourville, J. A. (2004) · Journal of Speech Language and Hearing Research · doi:10.1044/1092-4388(2004/005 · Cited by 113
Right lateral fusiform gyrus dysfunction during facial information processing in schizophrenia
Quintana, J., Wong, T., Ortiz-Portillo, E., Marder, S. R., & Mazziotta, J. C. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01784-5 · Cited by 113
Predicting Functional Gains in a Stroke Trial
Cramer, S. C., Parrish, T. B., Levy, R. M., Stebbins, G. T., Ruland, S. D., Lowry, D. W., Trouard, T. P., Squire, S. W., Weinand, M. E., Savage, C. R., et al. (2007) · Stroke · doi:10.1161/strokeaha.107.485631 · Cited by 115
Raichle, M. E. (2001) · Nature · doi:10.1038/35084300 · Cited by 113
Current perspectives and methods in studying neural mechanisms of multisensory interactions
Klemen, J., & Chambers, C. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.04.015 · Cited by 120
Brain-Machine Interface (BMI) in paralysis
Chaudhary, U., Birbaumer, N., & Curado, M. R. (2015) · Annals of Physical and Rehabilitation Medicine · doi:10.1016/j.rehab.2014.11.002 · Cited by 113
Electroencephalography/functional MRI in human epilepsy: what it currently can and cannot do
Laufs, H., & Duncan, J. S. (2007) · Current Opinion in Neurology · doi:10.1097/wco.0b013e3282202b92 · Cited by 112
Peng, J., Dong, M., Ran, B., Li, W., Hao, Y., Yang, Q., Tan, L., Shi, K., & Qian, Z. (2017) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b01365 · Cited by 112
Singh, M., Kim, S., & Kim, T. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10335 · Cited by 112
Johnson, K. A., Hartwell, K. J., LeMatty, T., Borckardt, J. J., Morgan, P. S., Govindarajan, K. A., Brady, K. T., & George, M. S. (2010) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2010.00529.x · Cited by 112
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
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
