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 5,201–5,300 of 6,331
Movement velocity effect on cortical reorganization and finger function in stroke.
Deng, H. (2012) · University of Minnesota Digital Conservancy (University of Minnesota) · Cited by 1
Joint Detection‐Estimation in Functional MRI
Ciuciu, P., Forbes, F., Vincent, T. L., & Chaâri, L. (2015) · Wiley eBooks · doi:10.1002/9781118827253.ch7 · Cited by 1
On the origin of the extracellular potential in the nucleus laminaris of the barn owl
Kuokkanen, P. T. (2012) · edoc Publication server (Humboldt University of Berlin) · doi:10.18452/16574 · Cited by 1
Tactile processing in human somatosensory and auditory cortices
Hlushchuk, Y. (2007) · Työväentutkimus Vuosikirja · Cited by 1
High-level visual object representations in inferior temporal cortex
Mur, M. (2011) · Research Publications (Maastricht University) · doi:10.26481/dis.20111202mm · Cited by 1
Roebroeck, A. F. (2006) · Research Publications (Maastricht University) · doi:10.26481/dis.20061123ar · Cited by 1
Biophysical Models: Neurovascular Coupling, Cortical Microcircuits, and Metabolism
Riera, J. J. (2014) · Springer eBooks · doi:10.1007/978-1-4614-7320-6_522-1 · Cited by 1
Clarifying the neurophysiological basis of the other-race effect
Vizioli, L. (2012) · Enlighten: Theses (The University of Glasgow) · Cited by 1
An information theoretic approach to EEG-fMRI integration
Ostwald, D. (2010) · University of Birmingham Institutional Research Archive (University of Birmingham) · Cited by 1
Schillinger, F. L., de la Rosa, S., Schultz, J., & Uludaǧ, K. (2010) · MPG.PuRe (Max Planck Society) · Cited by 1
Effects of sensorimotor learning on the human mirror neuron system
Catmur, C. (2009) · OpenGrey (Institut de l'Information Scientifique et Technique) · Cited by 1
Vartiainen, N. V. (2009) · Työväentutkimus Vuosikirja · Cited by 1
Comparing the Information Encoded by Different Brain Areas with Functional Imaging Techniques
Nevado, Á., Young, M. P., & Panzeri, S. (2002) · Lecture notes in computer science · doi:10.1007/3-540-46084-5_18 · Cited by 1
Common and distinct neural networks for theory of mind reasoning and inhibitory control
Rothmayr, C. (2009) · Electronic Theses of LMU Munich (Ludwig-Maximilians-Universität München) · doi:10.5282/edoc.12497 · Cited by 1
Macek, C. C. (2005) · PUB – Publications at Bielefeld University (Bielefeld University) · Cited by 1
Soziale Kognition — Bildgebung
Schilbach, L., & Vogeley, K. T. (2007) · Springer eBooks · doi:10.1007/978-3-540-71147-6_28 · Cited by 1
How Safe Is Carotid Angioplasty and Stenting in NASCET-Ineligible Patients?
Nadareishvili, Z., Bowyer, B., Cheung, G., Rowed, D. W., Maggisano, R., & Norris, J. W. (2001) · Stroke · doi:10.1161/str.32.11.2726 · Cited by 1
Etablierung und Anwendung funktioneller Magnetresonanztomographie des visuellen Kortex bei Kindern
Pflugfelder, A. (2007) · Cited by 1
Haux, D. (2007) · Universitätsbibliothek der FU Berlin Hochschulschriftenstelle u. Dokumentenserver · doi:10.17169/refubium-13881 · Cited by 1
High fluid intelligence and analogical reasoning
Preusse, F. (2011) · edoc Publication server (Humboldt University of Berlin) · doi:10.18452/16424 · Cited by 1
Reddy, L. (2005) · CaltechTHESIS (California Institute of Technology) · doi:10.7907/d984-0380 · Cited by 1
Individual differences in excitation and inhibition in visual cortex
Robson, S. E. (2012) · ORCA Online Research @Cardiff (Cardiff University) · Cited by 1
Alonso, N., & Fernando, L. (2012) · UVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid) · Cited by 1
Conscious and unconscious vision
Fahrenfort, J. J. (2002) · UvA-DARE (University of Amsterdam) · Cited by 1
The medial frontal cortex and the subjective control of behaviour
Seitz, R. J. (2011) · e-Neuroforum · doi:10.1007/s13295-011-0022-5 · Cited by 1
Rodríguez‐Rojas, R., Alvarez, L. M., Palmero, R., Álvarez, M., Carballo, M., & Macías, R. J. (2004) · Neurocomputing · doi:10.1016/j.neucom.2004.10.070 · Cited by 1
Computational Neuroscience and Cognitive Brain Functions
Deco, G., & Rolls, E. T. (2007) · Springer eBooks · doi:10.1007/978-1-84628-943-9_8 · Cited by 1
Resting state brain activity and functional brain mapping
Xiaohu, Z., Peijun, W., & Xiaowei, T. (2007) · Progress in Natural Science Materials International · doi:10.1080/10020070708541030 · Cited by 1
Correction: Use of Frontal Lobe Hemodynamics as Reinforcement Signals to an Adaptive Controller
DiStasio, M., & Francis, J. T. (2013) · PLoS ONE · doi:10.1371/annotation/d72e0974-f492-4fa4-a850-6dd0017395b5 · Cited by 1
Cincotti, F., Babiloni, F., Mattiocco, M., Astolfi, L., Bufalari, S., Marciani, M. G., & Mattia, D. (2005) · Cognitive Processing · doi:10.1007/s10339-004-0044-9 · Cited by 1
Kaliukhovich, D. A., & Vogels, R. (2013) · PLoS ONE · doi:10.1371/annotation/411033ae-4884-42db-826f-b9dda6564860 · Cited by 1
Casarotto, S., Bianchi, A. M., Cerutti, S., Vanello, N., Ricciardi, E., Gentili, C., Sani, L., Bonino, D., Guazzelli, M., Pietrini, P., et al. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.259272 · Cited by 1
Advanced Experimental Magnetic Resonance Imaging
Tuor, U. I. (2008) · Springer eBooks · doi:10.1007/978-3-540-68993-5_2 · Cited by 1
Noninvasive brain imaging for experimental medicine in drug discovery
Matthews, P. M., & Wise, R. G. (2006) · Expert Opinion on Drug Discovery · doi:10.1517/17460441.1.2.111 · Cited by 1
Brain Science: From the Very Small to the Very Large
Kreiman, G. (2007) · Current Biology · doi:10.1016/j.cub.2007.06.065 · Cited by 1
András, P. (2009) · Medical Hypotheses · doi:10.1016/j.mehy.2009.06.056 · Cited by 1
A Temporally Constrained Spatial Ica For Separation Of Seizure Bold From Fmri
Jing, M., & Sanei, S. (2008) · doi:10.5281/zenodo.41158 · Cited by 1
Dynamics of contour, object and face processing in the human visual cortex
Tanskanen, T. (2008) · Työväentutkimus Vuosikirja · Cited by 1
A Multi-Modal Approach to Functional Neuroimaging
Brookes, M. J. (2005) · Nottingham ePrints (University of Nottingham) · Cited by 1
ANALYSIS OF FUNCTIONAL NEAR INFRARED SPECTROSCOPY SIGNALS
Akgül, C. B. (2004) · Cited by 1
An Overview of Wavelet-Based Techniques for fMRI Data Analysis
Ville, D. V. D., Blu, T., & Unser, M. A. (2006) · Cited by 1
The Neural Representation of Polysemy: The Case of Dot-objects
Tao, Y. (2015) · Unitn-eprints PhD (University of Trento) · doi:10.15168/11572_367998 · Cited by 1
Imaging the effects of 1 Hz repetitive transcranial magnetic stimulation during motor behaviour
Lee, L. (2004) · OpenGrey (Institut de l'Information Scientifique et Technique) · Cited by 1
Strategic Mortgage Default and the Decision to Follow the Herd: A Neurological ExplanationPreprint
Seiler, M. J., Walden, E. A., & Lane, M. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2194254 · Cited by 1
Palmer, C. R. (2009) · ProQuest Demo Repository · Cited by 1
The neural foundations of financial decision making
Heim, R. (2010) · University of Vienna · doi:10.25365/thesis.8676 · Cited by 1
A rush of blood to the head: The beginnings of brain imaging
Bambah-Mukku, D. (2016) · Studies in History and Philosophy of Science Part C Studies in History and Philosophy of Biological and Biomedical Sciences · doi:10.1016/j.shpsc.2015.12.013 · Cited by 1
Functional MRI at High Field Strength
Salle, F. D., Scarabino, T., Esposito, F., Aragri, A., SANTOPAOLO, O., Elefante, A., Cirillo, M., Cirillo, S., & Elefante, R. (2004) · Rivista di Neuroradiologia · doi:10.1177/197140090401700611 · Cited by 1
Funkciono MR snimanje u detekciji elokventnih mozdanih zona
Šveljo, O., Koprivek, K. M., Lucic, M. A., Markovic, Ž., & Prvulović, M. (2007) · Acta chirurgica iugoslavica · doi:10.2298/aci0703039s · Cited by 1
Development of functional brain imaging modality by using animal 7T-MRI
Sumiyoshi, A., & Kawashima, R. (2015) · Folia Pharmacologica Japonica · doi:10.1254/fpj.146.40 · Cited by 1
Ehrsson, H. H. (2009) · Cambridge University Press eBooks · doi:10.1017/cbo9780511581267.008 · Cited by 1
Using neurophysiological techniques to study auditory hallucinations in schizophrenia
Ford, J. M., & Mathalon, D. H. (2009) · Cambridge University Press eBooks · doi:10.1017/cbo9780511642197.019 · Cited by 1
Application of resting-state fMRI methods to acute ischemic stroke
Lv, Y. (2013) · Qucosa (Saxon State and University Library Dresden) · Cited by 1
Jauhiainen, A. M. (2008) · Cited by 1
Raniga, P., Paton, B. K., & Egan, G. F. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/086058 · Cited by 1
Study of cortical rhythmic activity and connectivity with magnetoencephalography
Kujala, J. (2008) · Aaltodoc (Aalto University) · Cited by 1
The effects of spatial resolution and physiological contrast on fMRI patterns
Gardumi (2017) · doi:10.26481/dis.20170324ag · Cited by 1
Neural representation of social, monetary and chocolate reinforcer processing
Zhu, J. (2016) · Aston Publications Explorer (Aston University) · doi:10.48780/publications.aston.ac.uk.00030063 · Cited by 1
Modelling Strategies for Functional Magnetic Resonance Imaging
Madsen, K. H., Sidaros, K., & Hansen, L. K. (2009) · Cited by 1
Functional Magnetic Resonance Imaging (fMRI)
Burunat, I., & Brattico, E. (2017) · Wiley eBooks · doi:10.1002/9781119102991.ch27 · Cited by 1
Encoding, coordination, and decision making in the primate fronto-parietal grasping network
Dann, B. (2017) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-6497 · Cited by 1
Chaplin, T. A., Allitt, B. J., Hagan, M. A., Rosa, M. G. P., Rajan, R., & Lui, L. L. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/204529 · Cited by 1
Attentional Processing of Visual Sexual Stimuli and the Concordia Sexual Image Dataset
Shilhan, J. G. (2017) · Spectrum Research Repository (Concordia University) · Cited by 1
The timing of hemodynamic changes reliably reflects spiking activityPreprint
Zaidi, A. D., Birbaumer, N., Fetz, E. E., Logothetis, N. K., & Sitaram, R. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/269696 · Cited by 1
Self-citationA neural signature of pattern separation in the monkey hippocampusPreprint
Sakon, J. J., & Suzuki, W. A. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/302505 · Cited by 1
Shafer, A. T. (2015) · ERA: Education and Research Archive (University of Alberta) · doi:10.7939/r3cc0v533 · Cited by 1
Application of fMRI for action representation: decoding, aligning and modulating
Al‐Wasity, S. (2018) · Enlighten: Theses (The University of Glasgow) · Cited by 1
Computational neuroimaging of real-life listening
Angelis, D. (2019) · Research Publications (Maastricht University) · doi:10.26481/dis.20190410vda · Cited by 1
Slow magnetic resonance oscillations diagnose chronic low back pain
Kurata, J. (2019) · British Journal of Anaesthesia · doi:10.1016/j.bja.2019.07.014 · Cited by 1
Investigations on bottom-up and top-down processing in early visual cortex with high-resolution fMRI
Marquardt, I. (2019) · Research Publications (Maastricht University) · doi:10.26481/dis.20190829im · Cited by 1
Disbergen, N. R. (2020) · Research Publications (Maastricht University) · doi:10.26481/dis.20200401nd · Cited by 1
Meet me in the middle: brain-behavior mediation analysis for fMRI experimentsPreprint
Brochard, J., & Jean Daunizeau, A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.17.343798 · Cited by 1
Near-infrared Spectroscopy Signal Classification: Towards a Brain-computer Interface
Tai, K. (2008) · TSpace (University of Toronto) · Cited by 1
van den Boom, M., Miller, K. J., Ramsey, N. F., & Hermes, D. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.27.424363 · Cited by 1
Intracranial Studies of Cognition in Humans
Hesse, E. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819641-0.00075-x · Cited by 1
Contents lists available at ScienceDirect
Olbrich, S., Olbrich, H., Adamaszek, M., Jahn, I., Hegerl, U., & Stengler, K. (2011) · Cited by 1
Li, X., Yuan, L., Zhou, F., Ding, C., Guo, T., Du, W., Jiang, J., Jessen, F., Zang, Y., & Han, Y. (2021) · medRxiv · doi:10.1101/2021.04.14.21255317 · Cited by 1
Towards Achieving a Home-based Brain Stimulation System
Mansouri, F. (2019) · TSpace (University of Toronto) · Cited by 1
The role of the mirror neuron system in bottom-up and top-down perception of human action
McGarry, L. M. (2021) · doi:10.32920/ryerson.14668254.v1 · Cited by 1
Gonzalez-Moreira, E., Paz-Linares, D., Cubero‐Rego, L., Gonzalez, A. A., Valdes-Sosa, P. A., & Harmony, T. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.11.24.469864 · Cited by 1
Somatosensory Activation and Tissue Compartments in the Human Striatum
Brown, L. L., Popper, A. M., Lipton, M. L., Gormley, R. M., & Katz, P. M. (2002) · Advances in behavioral biology · doi:10.1007/978-1-4615-0715-4_38 · Cited by 1
The role of dopamine in learning, movement & motivation
Shiner, T. (2012) · UCL Discovery (University College London) · Cited by 1
Neurobiology of Learning and Valuation
Heilbronner, S. R. (2012) · DukeSpace (Duke University) · Cited by 1
Chaudhary, U. J. (2013) · UCL Discovery (University College London) · Cited by 1
Functional MRI: Cognitive Neuroscience Applications
D’Esposito, M., Kayser, A. S., & Chen, A. J.-W. (2014) · Springer eBooks · doi:10.1007/978-1-4939-1995-6_20 · Cited by 1
(2010) · Elsevier eBooks · doi:10.1016/b978-0-12-375070-9.00021-8 · Cited by 1
Öisjöen, F. (2012) · Springer theses · doi:10.1007/978-3-642-31356-1_4 · Cited by 1
Magnetic Resonance Imaging (Functional)
Harrison, B. J., & Pantelis, C. (2014) · Springer eBooks · doi:10.1007/978-3-642-27772-6_255-2 · Cited by 1
Allgemeine Physiologie der Großhirnrinde
Birbaumer, N., & Schmidt, R. F. (2007) · Springer-Lehrbuch · doi:10.1007/978-3-540-32910-7_8 · Cited by 1
Magnetic Resonance Spectroscopy
Williams, S. R., & Sibson, N. R. (2002) · Frontiers in neuroscience · doi:10.1201/9781420042153.ch8 · Cited by 1
(2017) · Elsevier eBooks · doi:10.1016/b978-0-12-804043-0.00024-6 · Cited by 1
Biophysical Models: Neurovascular Coupling, Cortical Microcircuits, and Metabolism
Riera, J. (2015) · Springer eBooks · doi:10.1007/978-1-4614-6675-8_522 · Cited by 1
Rangaprakash, D., Olivier David, A., Barry, R. L., & Deshpande, G. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.02.27.530359 · Cited by 1
Near-field potentials index local neural computations more accurately than population spikingPreprint
Tovar, D. A., Westerberg, J. A., Cox, M. A., Dougherty, K., Wallace, M. T., Bastos, A. M., & Maier, A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.11.540026 · Cited by 1
Learning Equivariant Object Recognition and its Reverse Application to ImageryPreprint
Klepel, F., & Goebel, R. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.20.541553 · Cited by 1
Sanchez-Rodriguez, L. M., Khan, A. F., Adewale, Q., Bezgin, G., Therriault, J., Arias, J. F., Servaes, S., Rahmouni, N., Tissot, C., Stevenson, J., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.15.557737 · Cited by 2
Nguyen, A., Hartz, J., & Muldoon, S. F. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00039-5 · Cited by 1
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
