The DOI matches its Crossref record; 130 of the 131 references it cites were found in a registry or an index.
Relationship of Spikes, Synaptic Activity, and Local Changes of Cerebral Blood Flow
Abstract
The coupling of electrical activity in the brain to changes in cerebral blood flow (CBF) is of interest because hemodynamic changes are used to track brain function. Recent studies, especially those investigating the cerebellar cortex, have shown that the spike rate in the principal target cell of a brain region (i.e. the efferent cell) does not affect vascular response amplitude. Subthreshold integrative synaptic processes trigger changes in the local microcirculation and local glucose consumption. The spatial specificity of the vascular response on the brain surface is limited because of the functional anatomy of the pial vessels. Within the cortex there is a characteristic laminar flow distribution, the largest changes of which are observed at the depth of maximal synaptic activity (i.e. layer IV) for an afferent input system. Under most conditions, increases in CBF are explained by activity in postsynaptic neurons, but presynaptic elements can contribute. Neurotransmitters do not mediate increases in CBF that are triggered by the concerted action of several second messenger molecules. It is important to distinguish between effective synaptic inhibition and deactivation that increase and decrease CBF and glucose consumption, respectively. In summary, hemodynamic changes evoked by neuronal activity depend on the afferent input function (i.e. all aspects of presynaptic and postsynaptic processing), but are totally independent of the efferent function (i.e., the spike rate of the same region). Thus, it is not possible to conclude whether the output level of activity of a region is increased based on brain maps that use blood-flow changes as markers.
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“These transactions are dependent on the particular features of different incoming stimuli, thus it is possible that the relevant neurovascular and neurometabolic counterparts are correspondingly distinct (Lauritzen, 2001).”
From Perception is associated with the brain’s metabolic response to sensory stimulation (2022) · cites this paper as Lauritzen, 2001
Citations
Cites
Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,551
The Cerebellum as a Neuronal Machine
Eccles, J. C., Ito, M., & Szentágothai, J. (1967) · Springer eBooks · doi:10.1007/978-3-662-13147-3 · Cited by 3,229
Llinás, R. R. (1988) · Science · doi:10.1126/science.3059497 · Cited by 2,285
Nitric Oxide Signaling in the Central Nervous System
Garthwaite, J., & Boulton, C. L. (1995) · Annual Review of Physiology · doi:10.1146/annurev.ph.57.030195.003343 · Cited by 1,664
Retinotopic organization in human visual cortex and the spatial precision of functional MRI
Engel, S. A. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.2.181 · Cited by 1,606
Magistretti, P. J., Pellerin, L., Rothman, D. L., & Shulman, R. G. (1999) · Science · doi:10.1126/science.283.5401.496 · Cited by 1,170
Pathophysiology of the migraine aura: The spreading depression theory
Lauritzen, M. (1994) · Brain · doi:10.1093/brain/117.1.199 · Cited by 1,151
Self-citationBasic mechanisms of cerebral rhythmic activities
Steriade, M., GLOOR, P., Llinás, R. R., Lopes, F. H. D. S., & Mesulam, M. M. (1990) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(90)90001-z · Cited by 1,131
Malonek, D., & Grinvald, A. (1996) · Science · doi:10.1126/science.272.5261.551 · Cited by 1,109
Recurrent Excitation in Neocortical Circuits
Douglas, R. J., Christof Koch, A., Mahowald, M. A., Martin, K. A. C., & Suarez, H. H. (1995) · Science · doi:10.1126/science.7638624 · Cited by 985
Research works printed but not linked: 12
- Akgoren N, 1997, Am J Physiol, 273, H1166
- Berne RM, 1983, Fed Proc, 42, 3136
- Busija DW, 1989, Am J Physiol, 257, H1200
- Huang QF, 1994, Am J Physiol, 266, R158
- Ko KR, 1990, Am J Physiol, 259, H1703
- Lassen NA, 1991, Brain work and mental activity, 68
- Lindauer U, 1999, Am J Physiol, 277, H799
- Magistretti PJ, 1999, News Physiol Sci, 14, 177
- Phillis JW, 1989, Cerebrovasc Brain Metab Rev, 1, 26
- Roland PE, 1993, Brain activation
- Villringer A, 1995, Cerebrovasc Brain Metab Rev, 7, 240
- Yang G, 1998, Am J Physiol, 274, R529
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Krohne, L. G., Nygaard, S., Ottenheijm, M. E., Liu, M. L., Thielscher, A., Siebner, H. R., & Madsen, K. H. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121533 · Cited by 3
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Zhou, X. A., Jiang, Y., Man, W., & Yu, X. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-91688-2.00007-2 · Cited by 3
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Gopika, M. G., & Saraswathyamma, B. (2025) · Springer eBooks · doi:10.1007/978-981-96-2595-6_17 · Cited by 3
Recent Advances in Functional Magnetic Resonance Imaging
Kim, D. (2008) · WORLD SCIENTIFIC eBooks · doi:10.1142/9789812814807_0011 · Cited by 3
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Brandeis, D., Michel, C. M., Koenig, T. W., & Gianotti, L. R. R. (2009) · Cambridge University Press eBooks · doi:10.1017/cbo9780511596889.011 · Cited by 3
Nuttall, R., Mir, A. E., Jaeger, C., Letz, S., Wohlschläger, A. M., & Schneider, G. H. (2023) · MethodsX · doi:10.1016/j.mex.2023.102376 · Cited by 2
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Yuan, Z., & Jiang, H. (2012) · Springer eBooks · doi:10.1007/978-1-4614-4978-2_4 · Cited by 2
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Jiang, M. S., Jiang, R., Zhou, J., Ji, L., Carney, P. R., & Jiang, H. (2012) · Biomedical Optics and 3-D Imaging · doi:10.1364/biomed.2012.btu3a.45 · Cited by 2
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Wandell, B. A., & Dougherty, R. F. (2006) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.674141 · Cited by 2
Theriot, J. J., Prakash, N., Toga, A. W., & Ju, Y. S. (2006) · doi:10.1115/imece2006-16086 · Cited by 2
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Dussaux, C., Fodor, J., SZABO, V., Chastagnier, Y., Léger, J., Bourdieu, L., Perroy, J., & Ventalon, C. (2018) · Optics in the Life Sciences · doi:10.1364/brain.2018.bth4c.5 · Cited by 2
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Kilner, J. M., & Friston, K. J. (2009) · Springer eBooks · doi:10.1007/978-3-540-87919-0_22 · Cited by 2
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Dienel, G. A. (2006) · Wiley eBooks · doi:10.1002/9783527611225.ch23 · Cited by 2
Uribe‐Querol, E., Martínez‐Martínez, E., Rodríguez, M. T., Hernández, L. R., Toscano‐Márquez, B., Padilla, P., & Gutiérrez‐Ospina, G. (2005) · Neuroscience · doi:10.1016/j.neuroscience.2005.05.059 · Cited by 1
Yuan, Z. (2013) · Journal of Biosensors & Bioelectronics · doi:10.4172/2155-6210.1000135 · Cited by 1
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Mathiesen, C., Thomsen, K., & Lauritzen, M. (2014) · Neuromethods · doi:10.1007/978-1-4939-1059-5_11 · Cited by 1
Self-citationNita, D. A. (2008) · Corpus Université Laval (Université Laval) · Cited by 1
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Schumann, B. (2011)
Kilner, J. M., Olivier David, A., & Friston, K. J. (2007) · Elsevier eBooks · doi:10.1016/b978-012372560-8/50032-2
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Kayser, C. (2004) · Repository for Publications and Research Data (ETH Zurich) · doi:10.3929/ethz-a-004725724
Vogt, J. (2003) · edoc Publication server (Humboldt University of Berlin) · doi:10.18452/14947
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Hermán, P., Wahab, S. A., Eke, A., & Hyder, F. (2005) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9591524.0186
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Chassagnon, S., Armspach, J., Namer, I. J., Kehrli, P., Hirsch, É., & Nehlig, A. (2007) · Revue Neurologique · doi:10.1016/s0035-3787(07)78402-3
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Atabaki, A., Dicke, P. W., Karnath, H. ‐., & Thier, P. (2013) · European Journal of Neuroscience · doi:10.1111/ejn.12139
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Kanno, I. (2003) · International Congress Series · doi:10.1016/s0531-5131(03)00082-7
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Vaishnavi, S. (2010) · Open Scholarship Institutional Repository (Washington University in St. Louis) · doi:10.7936/k7n014jb
Research report Dopaminergic modulation of response inhibition: an fMRI study
Hershey, T. G., BLACK, K. J., Hartlein, J. M., Braver, T. S., Deanna, M., Carl, J. L., & Perlmutter, J. S. (2004)
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Hollender, L. (2010) · Rutgers University Community Repository (Rutgers University) · doi:10.7282/t3st7q0v
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Antenor, J. V., & Perlmutter, J. S. (2005) · Neurological disease and therapy · doi:10.1201/b14115-11
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Lauritzen, M. (2002) · Biomedical Topical Meeting · doi:10.1364/bio.2002.sua3
Self-citationSocial Behavior: Social Neurosciences and Social Behavior: An Introduction
Adolphs, R., & Spezio, M. (2016) · Springer eBooks · doi:10.1007/978-1-4939-3474-4_78
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Goozée, R. (2016) · Research Portal (King's College London)
Kang, H.-H., Kim, Y. S., Jeong, D., Kim, D.-H., Choi, D. S., Yi, J. J., Park, M. W., Park, K. H., Kim, C., Kim, S.-K., et al. (2017) · Journal of the Korean Neurological Association · doi:10.17340/jkna.2017.3.5
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Boyle, D. A. (2012)
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Παπαδάτου-Παστού, Μ. (2018) · University of Crete · doi:10.26248/eleutherna.v6i0.104
Adolphs, R., & Spezio, M. (2012) · Springer eBooks · doi:10.1007/978-1-4614-1997-6_78
Issa, N. P. (2013) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.717977534.793470897
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Nishijima, T., & Soya, H. (2025) · Advances in neurobiology · doi:10.1007/978-981-95-0066-6_2
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Berezhnoy, A. K., & Dunin-Barkowski, W. L. (2026) · International Conference on Neural Networks and Neurotechnologies (NeuroNT) · doi:10.1109/neuront71829.2026.11651379
Zana, L., Lima, M. R. M., Malescot, A., Martineau, É., & Rungta, R. L. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.25.743501
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Metadata
- Authors
- Lauritzen, M.
- Affiliations
- University of Copenhagen (DK)
- Corresponding author
- Lauritzen, Martin
- ORCID
- Lauritzen, Martin
- Venue
- Journal of Cerebral Blood Flow & Metabolism
- Publisher
- SAGE Publications
- Published
- 2001-12
- Volume
- 21
- Issue
- 12
- Pages
- 1367-1383
- ISSN
- 0271-678X (ISSN-L)
- 1559-7016
- OpenAlex
- W2030025902
- Cited by
- 253
- References
- 131
- Citations by year
- 2026: 4 · 2025: 4 · 2023: 4 · 2022: 6 · 2021: 2 · 2020: 4 · 2019: 5 · 2018: 9 · 2017: 4 · 2016: 4 · 2015: 9 · 2014: 7 · 2013: 4 · 2012: 13
- FWCI
- 1.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Cerebral Blood Flow & Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Health Sciences › Medicine › Clinical Neurology › Traumatic Brain Injury and Neurovascular Disturbances
- Keywords
- cerebral blood flow, neuronal activity, synaptic activity, hemodynamic coupling, spike frequency, cerebellar cortex, laminar blood flow, layer 4, postsynaptic neurons, presynaptic inhibition, glucose utilization, pial vessels, functional brain mapping
- MeSH terms
- Action Potentials, Animals, Brain, Cerebrovascular Circulation, Humans, Synaptic Transmission
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