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Functional mapping of single spines in cortical neurons in vivo.
Abstract
The individual functional properties and spatial arrangement of afferent synaptic inputs on dendrites have a critical role in the processing of information by neurons in the mammalian brain. Although recent work has identified visually-evoked local dendritic calcium signals in the rodent visual cortex, sensory-evoked signalling on the level of dendritic spines, corresponding to individual afferent excitatory synapses, remains unexplored. Here we used a new variant of high-resolution two-photon imaging to detect sensory-evoked calcium transients in single dendritic spines of mouse cortical neurons in vivo. Calcium signals evoked by sound stimulation required the activation of NMDA (N-methyl-D-aspartate) receptors. Active spines are widely distributed on basal and apical dendrites and pure-tone stimulation at different frequencies revealed both narrowly and widely tuned spines. Notably, spines tuned for different frequencies were highly interspersed on the same dendrites: even neighbouring spines were mostly tuned to different frequencies. Thus, our results demonstrate that NMDA-receptor-dependent single-spine synaptic inputs to the same dendrite are highly heterogeneous. Furthermore, our study opens the way for in vivo mapping of functionally defined afferent sensory inputs with single-synapse resolution.
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“Combining in vivo whole-cell patch recording and single spine calcium imaging, a recent work has shown that spines tuned for different peak frequencies are interspersed along dendrites of pyramidal neurons in the mouse auditory cortex (Chen et al., 2011).”
From Spatiotemporal dynamics of dendritic spines in the living brain (2014) · cites this paper as Chen et al., 2011
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Cites
The Mouse Brain in Stereotaxic Coordinates
Paxinos, G. (2001) · Cited by 12,859
Two-photon laser scanning fluorescence microscopy
Denk, W., Strickler, J. H., & Webb, W. W. (1990) · Science · doi:10.1126/science.2321027 · Cited by 9,488
The anticonvulsant MK-801 is a potent N-methyl-D-aspartate antagonist.
Wong, E. H. F., Kemp, J. A., Priestley, T., Knight, A. R., Woodruff, G. N., & Iversen, L. L. (1986) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.83.18.7104 · Cited by 1,820
In vivo two-photon calcium imaging of neuronal networks
Stosiek, C., Garaschuk, O., Holthoff, K., & Konnerth, A. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1232232100 · Cited by 1,341
Self-citationLondon, M., & Häusser, M. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135703 · Cited by 1,149
Transient and persistent dendritic spines in the neocortex in vivo
Holtmaat, A. J. G. D., Trachtenberg, J. T., Wilbrecht, L., Shepherd, G. M., Zhang, X., Knott, G. W., & Svoboda, K. (2005) · Neuron · doi:10.1016/j.neuron.2005.01.003 · Cited by 1,131
Clusters of Hyperactive Neurons Near Amyloid Plaques in a Mouse Model of Alzheimer’s Disease
Busche, M. A., Eichhoff, G., Adelsberger, H., Abramowski, D., Wiederhold, K.-H., Haass, C., Staufenbiel, M., Konnerth, A., & Garaschuk, O. (2008) · Science · doi:10.1126/science.1162844 · Cited by 1,125
Self-citationDendritic spines as basic functional units of neuronal integration
Yuste, R., & Denk, W. (1995) · Nature · doi:10.1038/375682a0 · Cited by 950
Computational subunits in thin dendrites of pyramidal cells
Polsky, A., Mel, B. W., & Schiller, J. (2004) · Nature Neuroscience · doi:10.1038/nn1253 · Cited by 817
NMDA spikes in basal dendrites of cortical pyramidal neurons
Schiller, J., Major, G., Koester, H. J., & Schiller, Y. (2000) · Nature · doi:10.1038/35005094 · Cited by 720
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Research works printed but not linked: 1
- Peters, A. & Jones, E. G. in Cerebral Cortex: Cellular Components of the Cerebral Cortex Vol. 1 (eds Peters, A. & Jones, E. G.) 107–121 (Plenum, 1984)
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Ultrasensitive fluorescent proteins for imaging neuronal activity
Chen, T.-W., Wardill, T. J., Sun, Y., Pulver, S. R., Renninger, S. L., Baohan, A., Schreiter, E. R., Kerr, R. A., Orger, M. B., Jayaraman, V., et al. (2013) · Nature · doi:10.1038/nature12354 · Cited by 6,474
Grienberger, C., & Konnerth, A. (2012) · Neuron · doi:10.1016/j.neuron.2012.02.011 · Cited by 1,459
Self-citationNonlinear dendritic integration of sensory and motor input during an active sensing task
Xu, N.-L., Harnett, M. T., Williams, S. R., Huber, D., O’Connor, D. H., Svoboda, K., & Magee, J. C. (2012) · Nature · doi:10.1038/nature11601 · Cited by 561
Fast high-resolution miniature two-photon microscopy for brain imaging in freely behaving mice
Zong, W., Wu, R., Li, M., Hu, Y., Li, Y., Li, J., Rong, H., Wu, H., Xu, Y., Lu, Y. M., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4305 · Cited by 516
Structural plasticity upon learning: regulation and functions
Caroni, P., Donato, F., & Muller, D. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3258 · Cited by 491
Dendritic integration: 60 years of progress
Stuart, G. J., & Spruston, N. (2015) · Nature Neuroscience · doi:10.1038/nn.4157 · Cited by 516
Repetitive motor learning induces coordinated formation of clustered dendritic spines in vivo
Fu, M., Yu, X., Lu, J., & Zuo, Y. (2012) · Nature · doi:10.1038/nature10844 · Cited by 493
Active properties of neocortical pyramidal neuron dendrites
Major, G., Larkum, M. E., & Schiller, J. (2013) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150343 · Cited by 443
Zhang, J., He, Y., Liang, S., Liao, X., Li, T., Qiao, Z., Chang, C., Jia, H., & Chen, X. (2021) · Nature Communications · doi:10.1038/s41467-021-23025-y · Cited by 374
Self-citationAuditory dysfunction in schizophrenia: integrating clinical and basic features
Javitt, D. C., & Sweet, R. A. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn4002 · Cited by 377
Locally synchronized synaptic inputs
Takahashi, N., Kitamura, K., Matsuo, N., Mayford, M., Kano, M., Matsuki, N., & Ikegaya, Y. (2012) · Science · doi:10.1126/science.1210362 · Cited by 352
Zhang, K., Förster, R., He, W., Liao, X., Li, J., Yang, C., Qin, H., Wang, M., Ding, R., Li, R., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00949-8 · Cited by 328
Self-citationNMDA spikes enhance action potential generation during sensory input
Palmer, L. M., Shai, A. S., Reeve, J. E., Anderson, H. L., Paulsen, O., & Larkum, M. E. (2014) · Nature Neuroscience · doi:10.1038/nn.3646 · Cited by 333
The effects of aerobic activity on brain structure.
Thomas, A. G., Dennis, A., Bandettini, P. A., & Johansen-Berg, H. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00086 · Cited by 303
Dendritic spines: from structure to in vivo function
Rochefort, N. L., & Konnerth, A. (2012) · The EMBO Reports · doi:10.1038/embor.2012.102 · Cited by 299
Self-citationDendritic spines and distributed circuits
Yuste, R. (2011) · Neuron · doi:10.1016/j.neuron.2011.07.024 · Cited by 298
Central Gain Restores Auditory Processing following Near-Complete Cochlear Denervation
Chambers, A. R., Resnik, J., Yuan, Y.-S., Whitton, J. P., Edge, A. S. B., Liberman, M. C., & Polley, D. B. (2016) · Neuron · doi:10.1016/j.neuron.2015.12.041 · Cited by 297
Mohan, H., Verhoog, M. B., Doreswamy, K. K., Eyal, G., Aardse, R., Lodder, B. N., Goriounova, N. A., Asamoah, B., B. Brakspear, A. B. C., Groot, C., et al. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv188 · Cited by 280
Video-rate volumetric functional imaging of the brain at synaptic resolution
Lu, R., Sun, W., Liang, Y., Kerlin, A., Bierfeld, J., Seelig, J. D., Wilson, D. E., Scholl, B., Mohar, B., Tanimoto, M., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4516 · Cited by 277
Technologies for imaging neural activity in large volumes
Ji, N., Freeman, J., & Smith, S. L. (2016) · Nature Neuroscience · doi:10.1038/nn.4358 · Cited by 277
Ohkura, M., Sasaki, T., Sadakari, J., Gengyo‐Ando, K., Kagawa‐Nagamura, Y., Kobayashi, C., Ikegaya, Y., & Nakai, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051286 · Cited by 267
Orientation selectivity and the functional clustering of synaptic inputs in primary visual cortex
Wilson, D. E., Whitney, D. E., Scholl, B., & Fitzpatrick, D. (2016) · Nature Neuroscience · doi:10.1038/nn.4323 · Cited by 271
Calcium transient prevalence across the dendritic arbour predicts place field properties
Sheffield, M. E. J., & Dombeck, D. A. (2014) · Nature · doi:10.1038/nature13871 · Cited by 257
Activity-Dependent Clustering of Functional Synaptic Inputs on Developing Hippocampal Dendrites
Kleindienst, T., Winnubst, J., Roth-Alpermann, C., Bonhoeffer, T., & Löhmann, C. (2011) · Neuron · doi:10.1016/j.neuron.2011.10.015 · Cited by 257
Synaptic organization of visual space in primary visual cortex
Iacaruso, M. F., Gasler, I. T., & Hofer, S. B. (2017) · Nature · doi:10.1038/nature23019 · Cited by 249
Synaptic Computation and Sensory Processing in Neocortical Layer 2/3
Petersen, C. C. H., & Crochet, S. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.020 · Cited by 249
Guo, W., Chambers, A. R., Darrow, K. N., Hancock, K. E., Shinn‐Cunningham, B. G., & Polley, D. B. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0065-12.2012 · Cited by 226
Compartmentalized versus Global Synaptic Plasticity on Dendrites Controlled by Experience
Makino, H., & Malinow, R. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.036 · Cited by 228
Imaging Neural Activity Using Thy1-GCaMP Transgenic Mice
Chen, Q., Cichon, J., Wang, W., Qiu, L., Lee, S.-J. R., Campbell, N. R., DeStefino, N. R., Goard, M. J., Fu, Z., Yasuda, R., et al. (2012) · Neuron · doi:10.1016/j.neuron.2012.07.011 · Cited by 222
Local translation in neuronal compartments: how local is local?
Rangaraju, V., Dieck, S. T., & Schuman, E. M. (2017) · EMBO Reports · doi:10.15252/embr.201744045 · Cited by 203
Synaptic clustering within dendrites: An emerging theory of memory formation
Kastellakis, G., Cai, D. J., Mednick, S. C., Silva, A. J., & Poirazi, P. (2015) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2014.12.002 · Cited by 198
Synaptic diversity enables temporal coding of coincident multisensory inputs in single neurons
Chabrol, F. P., Arenz, A., Wiechert, M. T., Margrie, T. W., & DiGregorio, D. A. (2015) · Nature Neuroscience · doi:10.1038/nn.3974 · Cited by 230
Multiscale optical Ca2+ imaging of tonal organization in mouse auditory cortex
Issa, J. B., Haeffele, B. D., Agarwal, A., Bergles, D. E., Young, E. D., & Yue, D. T. (2014) · Neuron · doi:10.1016/j.neuron.2014.07.009 · Cited by 188
NMDA Receptor-Dependent Multidendrite Ca 2+ Spikes Required for Hippocampal Burst Firing In Vivo
Grienberger, C., Chen, X., & Konnerth, A. (2014) · Neuron · doi:10.1016/j.neuron.2014.01.014 · Cited by 185
Self-citationFunctional clustering of dendritic activity during decision-making
Kerlin, A., Mohar, B., Flickinger, D., MacLennan, B. J., Dean, M. B., Davis, C., Spruston, N., & Svoboda, K. (2019) · eLife · doi:10.7554/elife.46966 · Cited by 186
Spontaneous Activity Drives Local Synaptic Plasticity In Vivo
Winnubst, J., Cheyne, J. E., Niculescu, D., & Lohmann, C. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.029 · Cited by 180
Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory
Frank, A. C., Huang, S., Zhou, M., Gdalyahu, A., Kastellakis, G., Silva, T. K., Lu, E. D., Wen, X., Poirazi, P., Trachtenberg, J. T., et al. (2018) · Nature Communications · doi:10.1038/s41467-017-02751-2 · Cited by 187
Little, J. P., & Carter, A. G. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2385-13.2013 · Cited by 187
Multiphoton fluorescence microscopy for in vivo imaging
Xu, C., Nedergaard, M., Fowell, D. J., Friedl, P., & Ji, N. (2024) · Cell · doi:10.1016/j.cell.2024.07.036 · Cited by 182
Contribution of sublinear and supralinear dendritic integration to neuronal computations
Tran-Van-Minh, A., Cazé, R. D., Abrahamsson, T., Cathala, L., Gutkin, B. S., & DiGregorio, D. A. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00067 · Cited by 171
Kilohertz frame-rate two-photon tomography
Kazemipour, A., Novák, O., Flickinger, D., Marvin, J. S., Abdelfattah, A. S., King, J., Borden, P. M., Kim, J. J., Al-Abdullatif, S. H., Deal, P. E., et al. (2019) · Nature Methods · doi:10.1038/s41592-019-0493-9 · Cited by 169
The next generation of approaches to investigate the link between synaptic plasticity and learning
Humeau, Y., & Choquet, D. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0480-6 · Cited by 158
Two-photon calcium imaging of neuronal activity
Grienberger, C., Giovannucci, A., Zeiger, W., & Portera‐Cailliau, C. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-022-00147-1 · Cited by 159
The Mechanism of Orientation Selectivity in Primary Visual Cortex without a Functional Map
Hansel, D., & van Vreeswijk, C. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.6284-11.2012 · Cited by 147
Modern Laser Scanning Confocal Microscopy
Bayguinov, P. O., Oakley, D. M., Shih, C., Geanon, D. J., Joens, M. S., & Fitzpatrick, J. A. J. (2018) · Current Protocols in Cytometry · doi:10.1002/cpcy.39 · Cited by 145
Dendritic coding of multiple sensory inputs in single cortical neurons in vivo
Varga, Z., Jia, H., Sakmann, B. J., & Konnerth, A. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112355108 · Cited by 152
Self-citationInterpreting in vivo calcium signals from neuronal cell bodies, axons, and dendrites: a review
Ali, F., & Kwan, A. C. (2019) · Neurophotonics · doi:10.1117/1.nph.7.1.011402 · Cited by 149
Tada, M., Takeuchi, A., Hashizume, M., Kitamura, K., & Kano, M. (2014) · European Journal of Neuroscience · doi:10.1111/ejn.12476 · Cited by 148
Microscopy in 3D: a biologist's toolbox
Fischer, R. S., Wu, Y., Kanchanawong, P., Shroff, H., & Waterman, C. M. (2011) · Trends in Cell Biology · doi:10.1016/j.tcb.2011.09.008 · Cited by 135
Selective Loss of Smaller Spines in Schizophrenia
MacDonald, M. L., Alhassan, J., Newman, J. T., Richard, M. D., Gu, H., Kelly, R. M., Sampson, A. R., Fish, K. N., Penzes, P., Wills, Z. P., et al. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.16070814 · Cited by 134
Laminar Transformation of Frequency Organization in Auditory Cortex
Winkowski, D. E., & Kanold, P. O. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3101-12.2013 · Cited by 129
Subcellular Synaptic Connectivity of Layer 2 Pyramidal Neurons in the Medial Prefrontal Cortex
Little, J. P., & Carter, A. G. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1616-12.2012 · Cited by 128
Single excitatory axons form clustered synapses onto CA1 pyramidal cell dendrites
Bloss, E. B., Cembrowski, M. S., Karsh, B., Colonell, J. I., Fetter, R. D., & Spruston, N. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0084-6 · Cited by 134
Compartment-specific tuning of dendritic feature selectivity by intracellular Ca 2+ release
O’Hare, J. K., Gonzalez, K. C., Herrlinger, S. A., Hirabayashi, Y., Hewitt, V. L., Blockus, H., Szoboszlay, M., Rolotti, S. V., Geiller, T., Negrean, A., et al. (2022) · Science · doi:10.1126/science.abm1670 · Cited by 123
Local versus global scales of organization in auditory cortex
Kanold, P. O., Nelken, I., & Polley, D. B. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2014.06.003 · Cited by 121
Self-citationVoltage compartmentalization in dendritic spines in vivo
Cornejo, V. H., Ofer, N., & Yuste, R. (2021) · Science · doi:10.1126/science.abg0501 · Cited by 125
Advanced Fiber Soliton Sources for Nonlinear Deep Tissue Imaging in Biophotonics
Wang, K., Horton, N. G., Charan, K., & Xu, C. (2013) · IEEE Journal of Selected Topics in Quantum Electronics · doi:10.1109/jstqe.2013.2276860 · Cited by 119
Deitcher, Y., Eyal, G., Kanari, L., Verhoog, M. B., Kahou, G. A. A., Mansvelder, H. D., de Kock, C. P. J., & Segev, I. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx226 · Cited by 117
Local Order within Global Disorder: Synaptic Architecture of Visual Space
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Plasticity in the auditory system
Irvine, D. R. F. (2017) · Hearing Research · doi:10.1016/j.heares.2017.10.011 · Cited by 118
Ultrafast, temporally stochastic STED nanoscopy of millisecond dynamics
Schneider, J., Zahn, J. T., Maglione, M., Sigrist, S. J., Marquard, J., Chojnacki, J., Kräusslich, H., Sahl, S. J., Engelhardt, J., & Hell, S. W. (2015) · Nature Methods · doi:10.1038/nmeth.3481 · Cited by 109
Modeling somatic and dendritic spike mediated plasticity at the single neuron and network level
Bono, J., & Clopath, C. (2017) · Nature Communications · doi:10.1038/s41467-017-00740-z · Cited by 113
A corticopontine circuit for initiation of urination
Yao, J., Zhang, Q., Liao, X., Li, Q., Liang, S., Li, X., Zhang, Y., Li, X., Wang, H., Qin, H., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0256-4 · Cited by 107
Self-citationFast 3D Imaging of Spine, Dendritic, and Neuronal Assemblies in Behaving Animals
Szalay, G., Judák, L., Katona, G., Ócsai, K., Juhász, G., Veress, M., Szadai, Z., Fehér, A., Tompa, T., Chiovini, B., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.10.002 · Cited by 110
Pinto, S. R., Hight, A. E., Clayton, K. K., Resnik, J., Williamson, R. S., Hancock, K. E., & Polley, D. B. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz190 · Cited by 111
Whole-Cell Recording of Neuronal Membrane Potential during Behavior
Petersen, C. C. H. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.049 · Cited by 104
Grienberger, C., Chen, X., & Konnerth, A. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2014.11.002 · Cited by 107
Self-citationMultibranch activity in basal and tuft dendrites during firing of layer 5 cortical neurons in vivo
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Self-citationKarpf, S., Riche, C. T., Carlo, D. D., Goel, A., Zeiger, W., Suresh, A., Portera‐Cailliau, C., & Jalali, B. (2020) · Nature Communications · doi:10.1038/s41467-020-15618-w · Cited by 93
Synaptic Clustering and Memory Formation
Kastellakis, G., & Poirazi, P. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00300 · Cited by 92
Spatiotemporal dynamics of dendritic spines in the living brain
Chen, C.-C., Lu, J., & Zuo, Y. (2014) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2014.00028 · Cited by 88
Visualization of brain circuits using two-photon fluorescence micro-optical sectioning tomography
Zheng, T., Yang, Z., Li, A., Lv, X., Zhou, Z., Wang, X., Qi, X., Li, S., Luo, Q., Gong, H., et al. (2013) · Optics Express · doi:10.1364/oe.21.009839 · Cited by 87
Examining Form and Function of Dendritic Spines
Lee, K. F. H., Soares, C., & Béïque, J.-C. (2012) · Neural Plasticity · doi:10.1155/2012/704103 · Cited by 90
Lai, C. S. W., Adler, A., & Gan, W. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1801504115 · Cited by 89
Inhibitory Regulation of Dendritic Activity in vivo
Palmer, L. M., Murayama, M., & Larkum, M. E. (2012) · Frontiers in Neural Circuits · doi:10.3389/fncir.2012.00026 · Cited by 88
Débarre, D., Olivier, N., Supatto, W., & Beaurepaire, E. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104250 · Cited by 80
Reading out a spatiotemporal population code by imaging neighbouring parallel fibre axons in vivo
Wilms, C. D., & Häusser, M. (2015) · Nature Communications · doi:10.1038/ncomms7464 · Cited by 83
Subcellular connectivity underlies pathway-specific signaling in the nucleus accumbens
MacAskill, A. F., Little, J. P., Cassel, J. M., & Carter, A. G. (2012) · Nature Neuroscience · doi:10.1038/nn.3254 · Cited by 84
From Functional Architecture to Functional Connectomics
Reid, R. C. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.031 · Cited by 80
Methods of dendritic spine detection: From Golgi to high-resolution optical imaging
Mancuso, J. J., Chen, Y., Li, X., Xue, Z., & Wong, S. T. C. (2012) · Neuroscience · doi:10.1016/j.neuroscience.2012.04.010 · Cited by 81
Auditory perceptual learning and changes in the conceptualization of auditory cortex
Irvine, D. R. F. (2018) · Hearing Research · doi:10.1016/j.heares.2018.03.011 · Cited by 79
Emergence of local and global synaptic organization on cortical dendrites
Kirchner, J. H., & Gjorgjieva, J. (2021) · Nature Communications · doi:10.1038/s41467-021-23557-3 · Cited by 74
Primary Auditory Cortex is Required for Anticipatory Motor Response
Li, J., Liao, X., Zhang, J., Wang, M., Yang, N., Zhang, J., Lv, G., Li, H., Lu, J., Ding, R., et al. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx079 · Cited by 76
Self-citationSingle-neuron representation of learned complex sounds in the auditory cortex
Wang, M., Liao, X., Li, R., Liang, S., Ding, R., Li, J., Zhang, J., He, W., Liu, K., Pan, J., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18142-z · Cited by 74
Self-citationLinear integration of spine Ca 2+ signals in layer 4 cortical neurons in vivo
Jia, H., Varga, Z., Sakmann, B. J., & Konnerth, A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1408525111 · Cited by 67
Self-citationGrid Cells and Neural Coding in High-End Cortices
Moser, E. I., & Moser, M. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.043 · Cited by 66
The fiber-optic imaging and manipulation of neural activity during animal behavior
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Pushing the Boundaries of Neuroimaging with Optoacoustics
Ovsepian, S. V., Olefir, I., Westmeyer, G. G., Razansky, D., & Ntziachristos, V. (2017) · Neuron · doi:10.1016/j.neuron.2017.10.022 · Cited by 64
Synaptic modifications in learning and memory – A dendritic spine story
Ma, S., & Zuo, Y. (2021) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2021.05.015 · Cited by 66
Lineage-dependent circuit assembly in the neocortex
Gao, P., Sultan, K. T., Zhang, X., & Shi, S. (2013) · Development · doi:10.1242/dev.087668 · Cited by 68
MacDonald, M. L., Ding, Y., Newman, J. T., Hemby, S. E., Penzes, P., Lewis, D. A., Yates, N. A., & Sweet, R. A. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.09.006 · Cited by 65
Functional maps within a single neuron
Narayanan, R., & Johnston, D. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00530.2012 · Cited by 64
Spatiotemporal functional organization of excitatory synaptic inputs onto macaque V1 neurons
Ju, N., Li, Y., Liu, F., Jiang, H., Macknik, S. L., Martínez‐Conde, S., & Tang, S. (2020) · Nature Communications · doi:10.1038/s41467-020-14501-y · Cited by 63
Sublinear integration underlies binocular processing in primary visual cortex
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Self-citationSound‐evoked network calcium transients in mouse auditory cortex in vivo
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Pérez‐Alvarez, A., Fearey, B. C., O’Toole, R. J., Yang, W., Arganda‐Carreras, I., Lamothe‐Molina, P. J., Moeyaert, B., Mohr, M. A., Panzera, L. C., Schulze, C., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16315-4 · Cited by 63
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Metadata
- Authors
- Chen, X., Leischner, U., Rochefort, N. L., Nelken, I., & Konnerth, A.
- Affiliations
- Center for Integrated Protein Science Munich (DE)
- Hebrew University of Jerusalem (IL)
- Corresponding author
- Konnerth, Arthur
- Venue
- Nature
- Published
- 2011-06-26
- Volume
- 475
- Issue
- 7357
- Pages
- 501-505
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1985450720
- Cited by
- 395
- References
- 43
- Citations by year
- 2026: 16 · 2025: 19 · 2024: 26 · 2023: 20 · 2022: 19 · 2021: 23 · 2020: 21 · 2019: 31 · 2018: 24 · 2017: 29 · 2016: 20 · 2015: 30 · 2014: 32 · 2013: 37 · 2012: 39
- FWCI
- 15.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- dendritic spines, auditory cortex, NMDA receptor, frequency tuning, dendritic integration, two-photon calcium imaging, mouse auditory cortex, in vivo imaging
- MeSH terms
- Acoustic Stimulation, Animals, Brain Mapping, Image Processing, Computer-Assisted, Mice, Inbred C57BL, Visual Cortex, Calcium Signaling, Microscopy, Fluorescence, Multiphoton, Dendritic Spines, Mice
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