Cited by 321Neuroscience and Neuropharmacology ResearchAlzheimer's disease research and treatmentsNeural dynamics and brain function

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Dendritic Structural Degeneration Is Functionally Linked to Cellular Hyperexcitability in a Mouse Model of Alzheimer’s Disease

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Šišková, Zuzana, Justus, Daniel, Kaneko, Hiroshi, Friedrichs, Detlef, Henneberg, Niklas, Beutel, Tatjana, Pitsch, Julika, Schoch, Susanne, Becker, Albert, von der Kammer, Heinz, Remy, Stefan·2014·Neuron

DOI 10.1016/j.neuron.2014.10.024

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Abstract

Dendritic structure critically determines the electrical properties of neurons and, thereby, defines the fundamental process of input-to-output conversion. The diversity of dendritic architectures enables neurons to fulfill their specialized circuit functions during cognitive processes. It is known that this dendritic integrity is impaired in patients with Alzheimer's disease and in relevant mouse models. It is unknown, however, whether this structural degeneration translates into aberrant neuronal function. Here we use in vivo whole-cell patch-clamp recordings, high-resolution STED imaging, and computational modeling of CA1 pyramidal neurons in a mouse model of Alzheimer's disease to show that structural degeneration and neuronal hyperexcitability are crucially linked. Our results demonstrate that a structure-dependent amplification of synaptic input to action potential output conversion might constitute a novel cellular pathomechanism underlying network dysfunction with potential relevance for other neurodegenerative diseases with abnormal changes of dendritic morphology.

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Selkoe, D. J. (2002) · Science · doi:10.1126/science.1074069 · Cited by 4,420
The NEURON Simulation Environment
Hines, M. L., & Carnevale, N. T. (1997) · Neural Computation · doi:10.1162/neco.1997.9.6.1179 · Cited by 2,630
Synapse loss in frontal cortex biopsies in Alzheimer's disease: Correlation with cognitive severity
DeKosky, S. T., & Scheff, S. W. (1990) · Annals of Neurology · doi:10.1002/ana.410270502 · Cited by 2,376
Pyramidal neurons: dendritic structure and synaptic integration
Spruston, N. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2286 · Cited by 1,688
Aberrant excitatory neuronal activity and compensatory remodeling of inhibitory hippocampal circuits in mouse models of alzheimer’s disease.
Palop, J. J., Chin, J., Roberson, E. D., Wang, J., Thwin, M. T., Bien-Ly, N., Yoo, J., Ho, K. O., Yu, G.-Q., Kreitzer, A., et al. (2007) · Neuron · doi:10.1016/j.neuron.2007.07.025 · Cited by 1,653
Inhibitory Interneuron Deficit Links Altered Network Activity and Cognitive Dysfunction in Alzheimer Model
Verret, L., Mann, E. O., Hang, G. B., Barth, A. M. I., Cobos, I., Ho, K., Devidze, N., Masliah, E., Kreitzer, A. C., Mody, I., et al. (2012) · Cell · doi:10.1016/j.cell.2012.02.046 · Cited by 1,216
Jasper's Basic Mechanisms of the Epilepsies
(2012) · Oxford University Press eBooks · doi:10.1093/med/9780199746545.001.0001 · Cited by 1,161
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
Hippocampal synaptic loss in early Alzheimer's disease and mild cognitive impairment
Scheff, S. W., Price, D. A., Schmitt, F. A., & Mufson, E. J. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.012 · Cited by 1,017
Distinguishing theoretical synaptic potentials computed for different soma-dendritic distributions of synaptic input.
Rall, W. (1967) · Journal of Neurophysiology · doi:10.1152/jn.1967.30.5.1138 · Cited by 996

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Schmid, L., Mittag, M., Poll, S., Steffen, J., Wagner, J., Geis, H., Schwarz, I., Schmidt, B., Schwarz, M. K., Remy, S., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.08.034 · Cited by 219
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Brown, R., Lam, A. D., Gonzalez‐Sulser, A., Ying, A., Jones, M., Chou, R. C.-C., Tzioras, M., Jordan, C. Y., Jedrasiak-Cape, I., Hemonnot-Girard, A.-L., et al. (2018) · eNeuro · doi:10.1523/eneuro.0426-17.2018 · Cited by 51
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Pallo, S. P., DiMaio, J., Cook, A., Nilsson, B., & Johnson, G. V. W. (2016) · Brain Research · doi:10.1016/j.brainres.2015.12.048 · Cited by 46
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Robinson, J. E., Coughlin, G. M., Hori, A. M., Cho, J. R., Mackey, E. D., Turan, Z., Patriarchi, T., Tian, L., & Gradinaru, V. (2019) · eLife · doi:10.7554/elife.48983 · Cited by 44
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Tok, S., Ahnaou, A., & Drinkenburg, W. H. I. M. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210397 · Cited by 45
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Li, Y., You, Q.-L., Zhang, S.-R., Huang, W., Zou, W.-J., Jie, W., Li, S.-J., Liu, J.-H., Lv, C.-Y., Cong, J., et al. (2017) · Molecular Neurobiology · doi:10.1007/s12035-017-0531-5 · Cited by 40
Alzheimer’s disease: amyloid-based pathogenesis and potential therapies
Zhou, Y., Sun, Y., Ma, Q., & Liu, Y. (2018) · Cell Stress · doi:10.15698/cst2018.07.143 · Cited by 45
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Bozoyan, L., Audoy-Rémus, J., Dumas, A., Filali, M., Lacroix, S., Rivest, S., Tremblay, M., & Vallières, L. (2014) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2014.08.351 · Cited by 36
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Martinsson, I., Quintino, L., Garcia, M. G., Konings, S. C., Torres-Garcia, L., Svanbergsson, A., Stange, O., England, R., Deierborg, T., Li, J., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.946297 · Cited by 35
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Cheng, Z., Wang, C., Wei, B., Gan, W., Zhou, Q., & Cui, M. (2021) · Brain stimulation · doi:10.1016/j.brs.2021.12.005 · Cited by 32
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Li, Y., Jin, Y., Pan, J., He, X., Zhong, S., Zhang, R., Choi, L., Su, W., & Chen, J. (2022) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.2c02140 · Cited by 33

Authors: Šišková, Z., Justus, D., Kaneko, H., Friedrichs, D., Henneberg, N., Beutel, T., Pitsch, J., Schoch, S., Becker, A., von der Kammer, H., & Remy, S.
Affiliations: German Center for Neurodegenerative Diseases (DE)
University of Bonn (DE)
Corresponding author: Remy, Stefan
ORCID: Justus, Daniel
Henneberg, Niklas
Pitsch, Julika
Schoch, Susanne
Becker, Albert
Remy, Stefan
Venue: Neuron
Publisher: Elsevier BV
Published: 2014-12
Volume: 84
Issue: 5
Pages: 1023-1033
ISSN: 0896-6273 (ISSN-L)
DOI: 10.1016/j.neuron.2014.10.024
OpenAlex: W2062605351
Cited by: 320
References: 54
Citations by year: 2026: 21 · 2025: 31 · 2024: 39 · 2023: 23 · 2022: 34 · 2021: 44 · 2020: 32 · 2019: 21 · 2018: 18 · 2017: 19 · 2016: 23 · 2015: 13 · 2014: 2
FWCI: 8.68
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 451 d)
Locations: Neuron (publishedVersion)
PubMed (publishedVersion)
DZNE Pub (submittedVersion)
Topics: Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords: neuronal hyperexcitability, Alzheimer's disease, CA1 pyramidal neurons, dendritic morphology, network dysfunction, mouse models of Alzheimer's disease, computational modeling
MeSH terms: Action Potentials, Alzheimer Disease, Animals, Computer Simulation, Dendrites, Disease Models, Animal, Electric Stimulation, Female, Hippocampus, Humans, Lysine, Male, Mice, Transgenic, Models, Neurological, Mutation, Nerve Degeneration, Neurons, Amyloid beta-Protein Precursor, Mice, Presenilin-1, In Vitro Techniques

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Dendritic Structural Degeneration Is Functionally Linked to Cellular Hyperexcitability in a Mouse Model of Alzheimer’s Disease

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