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
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 3,301–3,400 of 6,331
Tschacher, W., Schildt, M., & Sander, K. (2010) · Psychotherapy Research · doi:10.1080/10503307.2010.493538 · Cited by 18
Williams, N. (2014) · World Journal of Radiology · doi:10.4329/wjr.v6.i10.756 · Cited by 20
Altered Spontaneous Brain Activity in Cortical and Subcortical Regions in Parkinson’s Disease
Xiang, J., Jia, X., Li, H., Qin, J., Liang, P., & Li, K. (2016) · Parkinson s Disease · doi:10.1155/2016/5246021 · Cited by 18
From Structure to Circuits: The Contribution of MEG Connectivity Studies to Functional Neurosurgery
Pang, E. W., & Snead, O. C. (2016) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2016.00067 · Cited by 18
Emotion and Gender-Specific Neural Processing in Men and Women
Whittle, S., Simmons, J. G., & Allen, N. B. (2017) · Principles of Gender-Specific Medicine · doi:10.1016/b978-0-12-803506-1.00013-9 · Cited by 18
Cortical Statistical Correlation Tomography of EEG Resting State Networks
Li, C., Yuan, H., Shou, G., Cha, Y., Sunderam, S., Besio, W. G., & Ding, L. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00365 · Cited by 18
Developmental Changes in Task‐Induced Brain Deactivation in Humans Revealed by a Motor Task
Morita, T., Asada, M., & Naito, E. (2019) · Developmental Neurobiology · doi:10.1002/dneu.22701 · Cited by 18
Shi, Z., Wilkes, D. M., Yang, P., Wang, F., Wu, R., Wu, T.-L., Chen, L. M., & Gore, J. C. (2019) · Scientific Reports · doi:10.1038/s41598-019-45404-8 · Cited by 18
Effect of small-world connectivity on fast sparsely synchronized cortical rhythms
Kim, S.-Y., & Lim, W. (2014) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2014.10.019 · Cited by 19
Stability Analysis of fMRI BOLD Signals for Disease Diagnosis
Ingabire, H. N., Qu, H., Li, M., He, S., Amos, T. J., Cui, Y., Wang, Q., Yao, D., Ma, D., & Ren, P. (2022) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2022.3164074 · Cited by 18
Leonardelli, E., & Fairhall, S. L. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119405 · Cited by 18
Magis, D., Bendtsen, L., Goadsby, P., May, A., del Río, M. S., Sándor, P., Kaube, H., Sandrini, G., Schoonman, G., & Schoenen, J. (2007) · Cephalalgia · doi:10.1111/j.1468-2982.2007.01435.x · Cited by 18
Wang, Z., Qi, H., Kaas, J. H., Roe, A. W., & Chen, L. M. (2013) · Experimental Neurology · doi:10.1016/j.expneurol.2013.08.013 · Cited by 18
Predicting Spike Occurrence and Neuronal Responsiveness from LFPs in Primary Somatosensory Cortex
Storchi, R., Zippo, A. G., Caramenti, G. C., Valente, M., & Biella, G. E. M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035850 · Cited by 18
Endpoints in pediatric pain studies
van Dijk, M., Ceelie, I., & Tibboel, D. (2010) · European Journal of Clinical Pharmacology · doi:10.1007/s00228-010-0947-6 · Cited by 18
Yang, J., & Shen, J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.010 · Cited by 18
Distinct spatial patterns of brain activity associated with memory storage and search
Zarahn, E., Rakitin, B. C., Abela, D., Flynn, J., & Stern, Y. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.07.020 · Cited by 18
Genetic effects on the cerebellar role in working memory: Same brain, different genes?
Blokland, G. A. M., McMahon, K. L., Thompson, P. M., Hickie, I. B., Martin, N. G., de Zubicaray, G. I., & Wright, M. J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.006 · Cited by 18
Implantable RF-coil with multiple electrodes for long-term EEG-fMRI monitoring in rodents
Pirttimäki, T., Salo, R. A., Shatillo, A., Kettunen, M. I., Paasonen, J., Sierra, A., Jokivarsi, K. T., Leinonen, V., Andrade, P., Quittek, S., et al. (2016) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.10.014 · Cited by 18
Liu, X., Jiang, W., & Yuan, Y. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00310 · Cited by 19
Hofmann, D., & Straube, T. (2019) · Human Brain Mapping · doi:10.1002/hbm.24555 · Cited by 19
Goelman, G. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.050 · Cited by 18
Suárez, S., Amadon, A., Giacomini, E., Wiklund, A.-K., Changeux, J., Bihan, D. L., & Granon, S. (2008) · Psychopharmacology · doi:10.1007/s00213-008-1338-x · Cited by 19
Testing methodologies for the nonlinear analysis of causal relationships in neurovascular coupling
Lüdtke, N., Logothetis, N. K., & Panzeri, S. (2010) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2010.03.028 · Cited by 18
Self-citationNegative BOLD effect on somato-motor inhibitory processing: An fMRI study
Nakata, H., Sakamoto, K., Ferretti, A., Perrucci, M. G., Gratta, C. D., Kakigi, R., & Romani, G. L. (2009) · Neuroscience Letters · doi:10.1016/j.neulet.2009.06.088 · Cited by 19
Neuroscientific Methods With Children
de Haan, M. D. H. (2015) · Wiley eBooks · doi:10.1002/9781118963418.childpsy118 · Cited by 18
Learning and memory in the human brain
Petersson, K. M. (2005) · Figshare · Cited by 18
Correspondence between fMRI and electrophysiology during visual motion processing in human MT+
Gaglianese, A., Vansteensel, M. J., Harvey, B. M., Dumoulin, S. O., Petridou, N., & Ramsey, N. F. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.04.007 · Cited by 18
Challenges and opportunities in the network medicine of complex diseases
d’Andrea, V., Loscalzo, J., & Domenico, M. D. (2025) · Med · doi:10.1016/j.medj.2025.100920 · Cited by 19
fMRI Localization of Spinal Cord Processing Underlying Female Sexual Arousal
Alexander, M. S., Kozyrev, N., Bosma, R. L., Figley, C. R., Richards, J. S., & Stroman, P. W. (2015) · Journal of Sex & Marital Therapy · doi:10.1080/0092623x.2015.1010674 · Cited by 17
Sun, J., Zhuang, K., Li, H., Wei, D., Zhang, Q., & Qiu, J. (2017) · Social Neuroscience · doi:10.1080/17470919.2017.1340335 · Cited by 18
Sobczak, F., He, Y., B, T. J. S. A., & Yu, X. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa260 · Cited by 18
Domenico, C. M., Haggerty, D. C., Mou, X., & Ji, D. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109714 · Cited by 19
Wang, J., Yang, C., Wei, X., Zhang, M., Dai, M., Huang, G., Huang, W., Wen, H., & Dou, Z. (2022) · Dysphagia · doi:10.1007/s00455-022-10460-2 · Cited by 17
Boorman, L. W., Harris, S., Shabir, O., Lee, L., Eyre, B., Howarth, C., & Berwick, J. (2023) · Communications Biology · doi:10.1038/s42003-023-04542-6 · Cited by 18
Advances in fetal and neonatal neuroimaging and everyday exposures
Lautarescu, A., Bonthrone, A., Bos, B., Barratt, B., & Counsell, S. (2024) · Pediatric Research · doi:10.1038/s41390-024-03294-1 · Cited by 16
Mechanisms of brain self-regulation: psychological factors, mechanistic models and neural substrates
Sitaram, R., Sánchez‐Corzo, A., Vargas, G. S., Cortese, A., El‐Deredy, W., Jackson, A., & Fetz, E. E. (2024) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2023.0093 · Cited by 20
Reed, M. B., Cocchi, L., Sander, C. Y. M., Chen, J. E., Matheson, G. J., Fisher, P. M., Volpi, T., Khattar, N., DeLorenzo, C., Gryglewski, G., et al. (2025) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-025-07357-1 · Cited by 17
Chapter 4 Functional neuroimaging of cognition
Perani, D. (2008) · Handbook of clinical neurology · doi:10.1016/s0072-9752(07)88004-3 · Cited by 17
Xu, J. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.08.018 · Cited by 17
EEG Current Source Density and the Phenomenology of the Default Network
Cannon, R. L., & Baldwin, D. R. (2012) · Clinical EEG and Neuroscience · doi:10.1177/1550059412449780 · Cited by 17
Nasrallah, F. A., Low, S.-M. A., Lew, S. K., Chen, K., & Chuang, K. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.004 · Cited by 17
Photons Do Collapse In the Retina Not in the Brain Cortex: Evidence from Visual Illusions
Georgiev, D. (2011) · NeuroQuantology · doi:10.14704/nq.2011.9.2.403 · Cited by 17
Brain functional modeling, what do we measure with fMRI data?
de Marco, G., Devauchelle, B., & Berquin, P. C. (2009) · Neuroscience Research · doi:10.1016/j.neures.2009.01.015 · Cited by 17
Cortical Neurovascular Coupling Driven by Stimulation of Channelrhodopsin-2
Ji, L., Zhou, J., Zafar, R., Kantorovich, S., Jiang, R., Carney, P. R., & Jiang, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046607 · Cited by 18
Perry, G., Randle, J. M., Koelewijn, L., Routley, B. C., & Singh, K. D. (2015) · PLoS ONE · doi:10.1371/journal.pone.0124798 · Cited by 17
Caramia, F., Francia, A., Mainero, C., Tinelli, E., Palmieri, M. G., Colonnese, C., Bozzao, L., & Caramia, M. D. (2009) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2009.05.029 · Cited by 17
Baseler, H. A., Gouws, A. D., & Morland, A. B. (2009) · Neuro-Ophthalmology · doi:10.1080/01658100903050053 · Cited by 19
Functional MRI Limitations and Aspirations
Bandettini, P. A. (2008) · On thinking · doi:10.1007/978-3-540-68044-4_2 · Cited by 17
Language and reading development in the brain today: neuromarkers and the case for prediction
Buchweitz, A. (2016) · Jornal de Pediatria · doi:10.1016/j.jped.2016.01.005 · Cited by 17
Encoding of graded changes in spatial specificity of prior cues in human visual cortex
Hara, Y., & Gardner, J. L. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00729.2013 · Cited by 18
Yang, P., Fan, C., Wang, M., Fogelson, N., & Li, L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.06.031 · Cited by 17
Review of Artifact Rejection Methods for Electroencephalographic Systems
Kanoga, S., & Mitsukura, Y. (2017) · InTech eBooks · doi:10.5772/68023 · Cited by 20
Spatially selective responses to Kanizsa and occlusion stimuli in human visual cortex
de Haas, B., & Schwarzkopf, D. S. (2018) · Scientific Reports · doi:10.1038/s41598-017-19121-z · Cited by 17
Functional MRI registration with tissue‐specific patch‐based functional correlation tensors
Zhou, Y., Zhang, H., Zhang, L., Cao, X., Yang, R., Feng, Q., Yap, P., & Shen, D. G. (2018) · Human Brain Mapping · doi:10.1002/hbm.24021 · Cited by 17
Carbon monofilament electrodes for unit recording and functional MRI in same subjects
Chuapoco, M. R., Choy, M., Schmid, F., Duffy, B. A., Lee, H. J., & Lee, J. H. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.082 · Cited by 17
Liu, X., Pu, Y., Wu, D., Zhang, Z., Hu, X., & Liu, L. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00194 · Cited by 17
Glutamatergic facilitation of neural responses in MT enhances motion perception in humans
Schallmo, M., Millin, R., Kale, A. M., Kolodny, T., Edden, R. A. E., Bernier, R., & Murray, S. O. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.001 · Cited by 17
Whole-brain electrophysiological functional connectivity dynamics in resting-state EEG
Shou, G., Yuan, H., Li, C., Chen, Y., Chen, Y., & Ding, L. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab7ad3 · Cited by 17
Gambino, G., Gambino, T., & Angelovski, G. (2020) · Chemical Communications · doi:10.1039/d0cc04416d · Cited by 17
Kern, M., Schulze‐Bonhage, A., & Ball, T. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117788 · Cited by 17
The Cerebellum Links to Positive Symptoms of Psychosis: A Systematic Review and Meta-analysis
Pinheiro, A. P., Johnson, J. F., Amorim, M., Roberto, M. S., Schwartze, M., Kotz, S. A., & Shenton, M. E. (2021) · Schizophrenia Bulletin Open · doi:10.1093/schizbullopen/sgab039 · Cited by 17
Walton, L. R., Verber, M., Lee, S.-H., Chao, T.-H. H., Wightman, R. M., & Shih, Y. I. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118634 · Cited by 18
The Association Between Lentiform Nucleus Function and Cognitive Impairments in Schizophrenia
Li, P., Zhao, S., Wu, X., Zhang, Y.-J., Song, L., Wu, L., Liu, X., Fu, Y., Wu, D., Wu, W.-J., et al. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.777043 · Cited by 17
Autism spectrum disorder diagnosis support model using Inception V3
Herath, L., Meedeniya, D., Marasingha, M. A. J. C., & Weerasinghe, V. S. (2021) · International Research Conference on Smart Computing and Systems Engineering (SCSE) · doi:10.1109/scse53661.2021.9568314 · Cited by 17
Song, X., Roy, B., Vacas, S., Woo, M. A., Kang, D. W., Aysola, R., & Kumar, R. (2022) · Sleep Medicine · doi:10.1016/j.sleep.2022.02.005 · Cited by 17
Zuleger, T. M., Slutsky‐Ganesh, A. B., Anand, M., Kim, H., Warren, S. M., Grooms, D. R., Foss, K. D. B., Riley, M. A., Yuan, W., Gore, R. K., et al. (2023) · Psychophysiology · doi:10.1111/psyp.14314 · Cited by 17
Functional MRI during Hippocampal Deep Brain Stimulation in the Healthy Rat Brain
Berge, N. V. D., Vanhove, C., Descamps, B., Dauwe, I., van Mierlo, P., Vonck, K. E. J., Keereman, V., Raedt, R., Boon, P., & Holen, R. V. (2015) · PLoS ONE · doi:10.1371/journal.pone.0133245 · Cited by 17
Advances in neuroimaging of the visual pathways and their use in glaucoma
Garaci, F. G., Cozzolino, V., Nucci, C., Gaudiello, F., Ludovici, A., Lupattelli, T., Floris, R., & Simonetti, G. (2008) · Progress in brain research · doi:10.1016/s0079-6123(08)01112-6 · Cited by 17
Eye movement dynamics and cognitive self-organization in typical and atypical development
Mirman, D., IRWIN, J. R., & Kelty‐Stephen, D. G. (2011) · Cognitive Neurodynamics · doi:10.1007/s11571-011-9180-y · Cited by 17
On the Similarity of Functional Connectivity between Neurons Estimated across Timescales
Stevenson, I. H., & Kording, K. P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009206 · Cited by 17
Modelling the interaction of attention and emotion
Fragopanagos, N., & Taylor, J. G. (2006) · Neurocomputing · doi:10.1016/j.neucom.2005.11.016 · Cited by 17
Musso, F., Konrad, A., Vučurević, G., Schäffner, C., Friedrich, B., Frech, P., Stoeter, P., & Winterer, G. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.07.059 · Cited by 17
Dien, J., & O’Hare, A. J. (2008) · Brain Research · doi:10.1016/j.brainres.2008.09.045 · Cited by 17
Liberg, B., Klauser, P., Harding, I. H., Adler, M., Rahm, C., Lundberg, J., Masterman, T., Wachtler, C., Jonsson, T., Wiberg, M. K., et al. (2014) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2014.00176 · Cited by 17
Ruff, D. A., Marrett, S., Heekeren, H. R., Bandettini, P. A., & Ungerleider, L. G. (2010) · Frontiers in Neuroscience · doi:10.3389/fnins.2010.00190 · Cited by 17
Oscillatory correlates of memory in non-human primates
Jutras, M. J., & Buffalo, E. A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.011 · Cited by 19
On the use of α-chloralose for repeated BOLD fMRI measurements in rats
Alonso, B. D. C., Makarova, T., & Heß, A. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.12.010 · Cited by 17
Northoff, G. (2008) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-007-0783-6 · Cited by 17
The effect of isocapnic hyperoxia on neurophysiology as measured with MRI and MEG
Croal, P. L., Hall, E. L., Driver, I. D., Brookes, M. J., Gowland, P. A., & Francis, S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.036 · Cited by 17
Frequency-based approach to the study of semantic brain networks connectivity
Bianchi, A. M., Marchetta, E., Tana, M. G., Tettamanti, M., & Rizzo, G. (2012) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2012.10.005 · Cited by 17
Poeppel, T. D., & Krause, B. J. (2008) · Methods · doi:10.1016/j.ymeth.2007.02.017 · Cited by 17
Diffusion tensor and perfusion MRI of non-human primates
Duong, T. Q. (2009) · Methods · doi:10.1016/j.ymeth.2009.08.001 · Cited by 17
Rosenberg‐Katz, K., Jamshy, S., Singer, N., Podlipsky, I., Kipervasser, S., Andelman, F., Neufeld, M. Y., Intrator, N., Fried, I., & Hendler, T. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00079 · Cited by 17
The specific contribution of neuroimaging versus neurophysiological data to understanding cognition
Axmacher, N., Elger, C. E., & Fell, J. (2009) · Behavioural Brain Research · doi:10.1016/j.bbr.2009.01.028 · Cited by 19
Energetic Constraints Produce Self-sustained Oscillatory Dynamics in Neuronal Networks
Burroni, J., Taylor, P., Corey, C., Vachnadze, T., & Siegelmann, H. T. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00080 · Cited by 17
Alahmadi, A. A. S., Pardini, M., Samson, R. S., Friston, K. J., Toosy, A., D'Angelo, E. U., & Wheeler‐Kingshott, C. A. M. G. (2017) · Human Brain Mapping · doi:10.1002/hbm.23541 · Cited by 17
Kuokkanen, P. T., Ashida, G., Kraemer, A., McColgan, T., Funabiki, K., Wagner, H., Köppl, C., Carr, C. E., & Kempter, R. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00175.2017 · Cited by 19
Neural phase locking predicts BOLD response in human auditory cortex
Oya, H., Gander, P. E., Petkov, C. I., Adolphs, R., Nourski, K. V., Kawasaki, H., Howard, M. A., & Griffiths, T. D. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.051 · Cited by 17
Spatial-temporal-spectral EEG patterns of BOLD functional network connectivity dynamics
Lamoš, M., Mareček, R., Slavicek, T., Mikl, M., Rektor, I., & Jan, J. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aab66b · Cited by 17
Caplan, D. N. (2007) · Language and Linguistics Compass · doi:10.1111/j.1749-818x.2007.00005.x · Cited by 17
Extrauterine environment affects the cortical responses to verbal stimulation in preterm infants
Nishida, T., Kusaka, T., Isobe, K., Ijichi, S., Okubo, K., Iwase, T., Kawada, K., Namba, M., Imai, T., & Itoh, S. (2008) · Neuroscience Letters · doi:10.1016/j.neulet.2008.07.035 · Cited by 17
Metabolic correlatives of brain activity in a FOS epilepsy patient
Peca, S., Carnì, M., Bonaventura, C. D., Aprile, T., Hagberg, G. E., Giallonardo, A. T., Manfredi, M., Mangia, S., Garreffa, G., Maraviglia, B., et al. (2009) · NMR in Biomedicine · doi:10.1002/nbm.1439 · Cited by 17
Wiener Filter-Magnetoencephalography of Visual Cortical Activity
Kajihara, S., Ohtani, Y., Goda, N., Tanigawa, M., Ejima, Y., & Toyama, K. (2004) · Brain Topography · doi:10.1023/b:brat.0000047333.10619.eb · Cited by 17
Sharma, R. D., & Sharma, A. K. (2004) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-3-13 · Cited by 17
Retracted4.1 Linking Band-Limited Cortical Activity to fMRI and Behavior
Siegel, M., & Donner, T. H. (2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195372731.003.0017 · Cited by 19
Nangini, C., Tam, F., & Graham, S. J. (2007) · Human Brain Mapping · doi:10.1002/hbm.20361 · Cited by 17
Investigating static nonlinearities in neurovascular coupling
Magri, C., Logothetis, N. K., & Panzeri, S. (2011) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2011.04.017 · Cited by 17
Self-citationReal-time functional magnetic resonance imaging in obsessive-compulsive disorder
Gonçalves, Ó. F., Batistuzzo, M. C., & Sato, J. R. (2017) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s121139 · Cited by 17
Hubbard, N. A., Turner, M. P., Ouyang, M., Himes, L. M., Thomas, B. P., Hutchison, J. L., Faghihahmadabadi, S., Davis, S. L., Strain, J. F., Spence, J. S., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23727 · Cited by 17
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
