Gamma frequency entrainment attenuates amyloid load and modifies microglia
Open accessAbstract
Changes in gamma oscillations (20-50 Hz) have been observed in several neurological disorders. However, the relationship between gamma oscillations and cellular pathologies is unclear. Here we show reduced, behaviourally driven gamma oscillations before the onset of plaque formation or cognitive decline in a mouse model of Alzheimer's disease. Optogenetically driving fast-spiking parvalbumin-positive (FS-PV)-interneurons at gamma (40 Hz), but not other frequencies, reduces levels of amyloid-β (Aβ)1-40 and Aβ 1-42 isoforms. Gene expression profiling revealed induction of genes associated with morphological transformation of microglia, and histological analysis confirmed increased microglia co-localization with Aβ. Subsequently, we designed a non-invasive 40 Hz light-flickering regime that reduced Aβ 1-40 and Aβ 1-42 levels in the visual cortex of pre-depositing mice and mitigated plaque load in aged, depositing mice. Our findings uncover a previously unappreciated function of gamma rhythms in recruiting both neuronal and glial responses to attenuate Alzheimer's-disease-associated pathology.
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By genetically engineering opsins into target neurons and controlling light, these neurons can be activated or inhibited, which is important for sensory and motor recovery and rehabilitation.
“By genetically engineering these proteins into target neurons and controlling the light around them, these neurons can be activated or inhibited, which is particularly important for sensory and motor recovery and rehabilitation.[555]”
From Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics (2022) · cites this paper as [555]
The Methods (AAV vectors; Optogenetic stimulation protocol, page unavailable) describe expressing channelrhodopsin-2 in targeted mouse neurons and manipulating them with light. The paper supports light-driven activation, but does not establish light-driven inhibition or a role in sensory and motor recovery or rehabilitation; its Discussion instead concerns amyloid reduction in mouse models. (LLM, conf=0.87)
Experimental — accuracy not yet measuredOptogenetic stimulation is based on opsins that are light-sensitive and expressed only in certain cell types.
“Optogenetic stimulation is based on opsins that are sensitive to light signals and only expressed in certain types of cells.”
From Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics (2022) · cites this paper as [555]
Gamma frequency modulation was beneficial in models with amyloid and/or tau pathology.
“Indeed, gamma frequency modulation was beneficial in models with amyloid and/or tau pathology54.”
From The R136S mutation in the APOE3 gene confers resilience against tau pathology via inhibition of the cGAS-STING-IFN pathway (2025) · cites this paper as [54]
Gamma frequency modulation is beneficial in models with either amyloid and/or tau pathology.
“Indeed, gamma frequency modulation was found to be beneficial in models with either amyloid and/or tau pathology52”
From <i>APOE3</i> - <i>R136S</i> mutation confers resilience against tau pathology via cGAS-STING-IFN inhibition (2024) · cites this paper as [52]
These amyloid reductions accompany morphological changes, including enlarged soma and shortened processes filled with Aβ.
“Interestingly, entraining gamma oscillation at 40 Hz in 5xFAD mice induced amyloid reductions that were associated with an increase in microglial numbers and morphological changes such as soma enlargement and shortening of processes loaded with Aβ.”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
These amyloid reductions accompany an increase in the number of microglia.
“Interestingly, entraining gamma oscillation at 40 Hz in 5xFAD mice induced amyloid reductions that were associated with an increase in microglial numbers and morphological changes such as soma enlargement and shortening of processes loaded with Aβ.”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
Gamma oscillations are generated by local circuits of excitatory and fast-spiking inhibitory neurons that resonate at 20-50 Hz.
“Gamma oscillations arise from the activation of local circuits of excitatory and fast-spiking inhibitory neurons resonating at 20-50 Hz, and changes in gamma oscillation have been observed in neurological diseases (158).”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
Altered gamma oscillations have been found in neurological disorders.
“Gamma oscillations arise from the activation of local circuits of excitatory and fast-spiking inhibitory neurons resonating at 20-50 Hz, and changes in gamma oscillation have been observed in neurological diseases (158).”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
Driving gamma oscillations at 40 Hz in 5xFAD mice leads to reductions in amyloid.
“Interestingly, entraining gamma oscillation at 40 Hz in 5xFAD mice induced amyloid reductions that were associated with an increase in microglial numbers and morphological changes such as soma enlargement and shortening of processes loaded with Aβ.”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
The expression of proinflammatory genes Il1b, Il6, and Cd11b and the antiinflammatory gene Igf1 remained unchanged.
“Notably, levels of proinflammatory genes (Il1b, Il6, Cd11b) and antiinflammatory genes (Igf1) were not changed (158), suggesting that it is possible to use immunomodulation to polarize microglia toward a beneficial activation state that is characterized by increased phagocytic activity without the induction of sustained inflammatory responses.”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
Immunomodulation can shift microglia toward a beneficial activation state with increased phagocytic activity and without prolonged inflammatory responses.
“Notably, levels of proinflammatory genes (Il1b, Il6, Cd11b) and antiinflammatory genes (Igf1) were not changed (158), suggesting that it is possible to use immunomodulation to polarize microglia toward a beneficial activation state that is characterized by increased phagocytic activity without the induction of sustained inflammatory responses.”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
RNA sequencing revealed higher expression of phagocytic genes, including Cd68, B2m, Icam, and Lyz2.
“RNA sequencing analysis showed an increase in phagocytic genes, such as Cd68, β 2 -microglobulin (B2m), Icam, and lysozyme 2 (Lyz2), and in the proliferation markers Csf1, Csf1r, and Csf2ra.”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
RNA sequencing also showed higher expression of proliferation markers Csf1, Csf1r, and Csf2ra.
“RNA sequencing analysis showed an increase in phagocytic genes, such as Cd68, β 2 -microglobulin (B2m), Icam, and lysozyme 2 (Lyz2), and in the proliferation markers Csf1, Csf1r, and Csf2ra.”
From Microglia in Alzheimer's disease (2017) · cites this paper as [158]
In mice, slow gamma frequency visual or audio input entrains neural firing to this frequency in the cortex and hippocampus and reduces Aβ pathology and microglial abnormalities.
“In mice, slow gamma frequency visual or audio input entrains neural firing to this frequency in the cortex and hippocampus and reduces Aβ pathology and microglial abnormalities [204, 205].”
From Apolipoprotein E4, inhibitory network dysfunction, and Alzheimer’s disease (2019) · cites this paper as [204]
Transgenic mice with AD-like pathology have reduced gamma power, and in one model this reduction precedes cognitive impairment and amyloid plaque formation.
“Transgenic mice with AD-like pathology were found to have reduced gamma power that, in one model, precedes cognitive impairment and amyloid plaque formation [21,22].”
From Parvalbumin interneuron vulnerability and brain disorders (2021) · cites this paper as [21]
Amyloid plaques were reduced when hippocampal PV-INs were made to produce gamma oscillations optogenetically.
“Interestingly, amyloid plaques were reduced when hippocampal PV-INs artificially produced gamma oscillations in optogenetics paradigms [21].”
From Parvalbumin interneuron vulnerability and brain disorders (2021) · cites this paper as [21]
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Cites
Zhang, Y., Chen, K., Sloan, S. A., Bennett, M. L., Scholze, A. R., O'Keeffe, S., Phatnani, H. P., Guarnieri, P., Caneda, C., Ruderisch, N., et al. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1860-14.2014 · Cited by 4,875 · cited 1× · see citing works
“To understand the cellular and molecular mechanisms from our RNA-seq data, 14 of publicly available RNA-seq datasets 35 were processed for cell-type-specific analysis.”
Buzsáki, G. (2006) · doi:10.1093/acprof:oso/9780195301069.001.0001 · Cited by 4,873 · see citing works
Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989) · Nature · doi:10.1038/338334a0 · Cited by 4,183 · see citing works
Host microbiota constantly control maturation and function of microglia in the CNS
Erny, D., Hrabě de Angelis, A. L., Jaitin, D., Wieghofer, P., Staszewski, O., David, E., Keren-Shaul, H., Mahlakoiv, T., Jakobshagen, K., Buch, T., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4030 · Cited by 3,569 · see citing works
Oakley, H., Cole, S. L., Logan, S., Maus, E., Shao, P., Craft, J., Guillozet-Bongaarts, A., Ohno, M., Disterhoft, J., Van Eldik, L., et al. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1202-06.2006 · Cited by 3,530 · see citing works
Theta oscillations in the hippocampus
Buzsáki, G. (2002) · Neuron · doi:10.1016/s0896-6273(02)00586-x · Cited by 3,332 · see citing works
Driving fast-spiking cells induces gamma rhythm and controls sensory responses
Cardin, J. A., Carlén, M., Meletis, K., Knoblich, U., Zhang, F., Deisseroth, K., Tsai, L.-H., & Moore, C. I. (2009) · Nature · doi:10.1038/nature08002 · Cited by 2,603 · see citing works
Self-citationCoherent 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 · see citing works
Synapse Loss and Microglial Activation Precede Tangles in a P301S Tauopathy Mouse Model
Yoshiyama, Y., Higuchi, M., Zhang, B., Huang, S.-M., Iwata, N., Saido, T. C., Maeda, J., Suhara, T., Trojanowski, J. Q., & Lee, V. M.-Y. (2007) · Neuron · doi:10.1016/j.neuron.2007.01.010 · Cited by 2,208 · see citing works
Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks
Bartos, M., Vida, I., & Jonas, P. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2044 · Cited by 2,070 · see citing works
Structural and molecular interrogation of intact biological systems
Chung, K., Wallace, J., Kim, S.-Y., Kalyanasundaram, S., Andalman, A. S., Davidson, T. J., Mirzabekov, J. J., Zalocusky, K. A., Mattis, J., Denisin, A. K., et al. (2013) · Nature · doi:10.1038/nature12107 · Cited by 2,008 · see citing works
TREM2 Lipid Sensing Sustains the Microglial Response in an Alzheimer’s Disease Model
Wang, Y., Cella, M., Mallinson, K., Ulrich, J. D., Young, K. L., Robinette, M. L., Gilfillan, S., Krishnan, G. M., Sudhakar, S., Zinselmeyer, B. H., et al. (2015) · Cell · doi:10.1016/j.cell.2015.01.049 · Cited by 1,736 · see citing works
Reverse replay of behavioural sequences in hippocampal place cells during the awake state
Foster, D. J., & Wilson, M. A. (2006) · Nature · doi:10.1038/nature04587 · Cited by 1,727 · see citing works
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 · see citing works
Jankowsky, J. L., Fadale, D. J., Anderson, J., Xu, G. M., Gonzales, V., Jenkins, N. A., Copeland, N. G., Lee, M. K., Younkin, L. H., Wagner, S. L., et al. (2004) · Human Molecular Genetics · doi:10.1093/hmg/ddh019 · Cited by 1,575 · see citing works
Frequency of gamma oscillations routes flow of information in the hippocampus
Colgin, L. L., Denninger, T., Fyhn, M., Hafting, T., Bonnevie, T., Jensen, O. B., Moser, M., & Moser, E. I. (2009) · Nature · doi:10.1038/nature08573 · Cited by 1,425 · see citing works
Gosselin, D., Link, V. M., Romanoski, C. E., Fonseca, G. J., Eichenfield, D. Z., Spann, N. J., Stender, J. D., Chun, H. B., Garner, H., Geissmann, F., et al. (2014) · Cell · doi:10.1016/j.cell.2014.11.023 · Cited by 1,307 · see citing works
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 · see citing works
Cell-intrinsic lysosomal lipolysis is essential for alternative activation of macrophages
Huang, S. C., Everts, B., Ivanova, Y., O’Sullivan, D., Nascimento, M., Smith, A. M., Beatty, W. L., Love-Gregory, L. D., Lam, W. Y., O’Neill, C. M., et al. (2014) · Nature Immunology · doi:10.1038/ni.2956 · Cited by 1,215 · see citing works
Fries, P., Nikolić, D., & Singer, W. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.05.005 · Cited by 1,044 · see citing works
Hippocampal replay in the awake state: a potential substrate for memory consolidation and retrieval
Carr, M. F., Jadhav, S. P., & Frank, L. M. (2011) · Nature Neuroscience · doi:10.1038/nn.2732 · Cited by 958 · see citing works
Neuronal activity regulates the regional vulnerability to amyloid-β deposition
Bero, A. W., Yan, P., Roh, J. H., Cirrito, J. R., Stewart, F. R., Raichle, M. E., Lee, J.-M., & Holtzman, D. M. (2011) · Nature Neuroscience · doi:10.1038/nn.2801 · Cited by 880 · see citing works
Intracellular dynamics of hippocampal place cells during virtual navigation
Harvey, C. D., Collman, F., Dombeck, D. A., & Tank, D. W. (2009) · Nature · doi:10.1038/nature08499 · Cited by 874 · see citing works
Cataldo, A. M., Peterhoff, C. M., Troncoso, J. C., Gómez‐Isla, T., Hyman, B. T., & Nixon, R. A. (2000) · American Journal Of Pathology · doi:10.1016/s0002-9440(10)64538-5 · Cited by 832 · see citing works
Spike sorting for large, dense electrode arrays
Rossant, C., Kadir, S., Goodman, D. F. M., Schulman, J., Hunter, M. L. D., Saleem, A. B., Grosmark, A., Belluscio, M., Denfield, G. H., Ecker, A. S., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4268 · Cited by 760 · see citing works
Chiu, I. M., Morimoto, E. T. A., Goodarzi, H., Liao, J. T., O’Keeffe, S., Phatnani, H. P., Muratet, M., Carroll, M. C., Levy, S., Tavazoie, S., et al. (2013) · Cell Reports · doi:10.1016/j.celrep.2013.06.018 · Cited by 651 · see citing works
Colony-stimulating factor-1 in immunity and inflammation
Chitu, V., & Stanley, E. R. (2006) · Current Opinion in Immunology · doi:10.1016/j.coi.2005.11.006 · Cited by 635 · see citing works
Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer's disease
Gjoneska, E., Pfenning, A. R., Mathys, H., Quon, G., Kundaje, A., Tsai, L.-H., & Kellis, M. (2015) · Nature · doi:10.1038/nature14252 · Cited by 576 · see citing works
Self-citationThe road to restoring neural circuits for the treatment of Alzheimer's disease
Canter, R. G., Penney, J., & Tsai, L.-H. (2016) · Nature · doi:10.1038/nature20412 · Cited by 565 · see citing works
Self-citationHippocampal network patterns of activity in the mouse
Buzsáki, G., Buhl, D. L., Harris, K. D., Csicsvari, J., Czéh, B., & Morozov, A. (2003) · Neuroscience · doi:10.1016/s0306-4522(02)00669-3 · Cited by 486 · see citing works
Multisensory Control of Hippocampal Spatiotemporal Selectivity
Ravassard, P., Kees, A. L., Willers, B., Ho, D. G., Aharoni, D. B., Cushman, J. D., Aghajan, Z. M., & Mehta, M. R. (2013) · Science · doi:10.1126/science.1232655 · Cited by 388 · see citing works
Mutant Huntingtin promotes autonomous microglia activation via myeloid lineage-determining factors
Crotti, A., Benner, C., Kerman, B. E., Gosselin, D., Lagier-Tourenne, C., Zuccato, C., Cattaneo, E., Gage, F. H., Cleveland, D. W., & Glass, C. K. (2014) · Nature Neuroscience · doi:10.1038/nn.3668 · Cited by 333 · see citing works
Engagement of Neural Circuits Underlying 2D Spatial Navigation in a Rodent Virtual Reality System
Aronov, D., & Tank, D. W. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.042 · Cited by 315 · see citing works
Stam, C. J., van Walsum, A. V. C., Pijnenburg, Y. A. L., Berendse, H. W., de Munck, J. C., Scheltens, P., & van Dijk, B. W. (2002) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-200212000-00010 · Cited by 302 · see citing works
Transient Slow Gamma Synchrony Underlies Hippocampal Memory Replay
Carr, M. F., Karlsson, M. P., & Frank, L. M. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.014 · Cited by 255 · see citing works
The Role of APP Processing and Trafficking Pathways in the Formation of Amyloid β‐Proteina
Selkoe, D. J., Yamazaki, T., Citron, M., Podlisny, M. B., Koo, E. H., Teplow, D. B., & Haass, C. (1996) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1996.tb34401.x · Cited by 246 · see citing works
Das, U., Scott, D. A., Ganguly, A., Koo, E. H., Tang, Y. P., & Roy, S. (2013) · Neuron · doi:10.1016/j.neuron.2013.05.035 · Cited by 245 · see citing works
Tet3 regulates synaptic transmission and homeostatic plasticity via DNA oxidation and repair
Yu, H., Su, Y., Shin, J., Zhong, C., Guo, J. U., Weng, Y., Gao, F., Geschwind, D. H., Coppola, G., Ming, G., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4008 · Cited by 194 · see citing works
Self-citationGillespie, A. K., Jones, E. A., Lin, Y.-H., Karlsson, M. P., Kay, K., Yoon, S. Y., Tong, L. M., Nova, P., Carr, J. S., Frank, L. M., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.04.009 · Cited by 187 · see citing works
Helwig, M., Hoshino, A., Berridge, C., Lee, S., Lorenzen, N., Otzen, D. E., Eriksen, J. L., & Lindberg, I. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.417071 · Cited by 59 · see citing works
Sex differences in the response to GABA antagonists depend on the route of drug administration
Peričić, D., & Bujas, M. (1997) · Experimental Brain Research · doi:10.1007/pl00005681 · Cited by 21 · see citing works
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Salter, M. W., & Stevens, B. (2017) · Nature Medicine · doi:10.1038/nm.4397 · Cited by 1,767 · see citing works
Fang, E. F., Hou, Y., Palikaras, K., Adriaanse, B. A., Kerr, J. S., Yang, B., Lautrup, S., Hasan-Olive, M. M., Caponio, D., Dan, X., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0332-9 · Cited by 1,740 · see citing works
Microglia in neurodegenerative diseases: mechanism and potential therapeutic targets
Gao, C., Jiang, J., Tan, Y., & Chen, S. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01588-0 · Cited by 1,616 · see citing works
Coupled electrophysiological, hemodynamic, and cerebrospinal fluid oscillations in human sleep
Fultz, N. E., Bonmassar, G., Setsompop, K., Stickgold, R. A., Rosen, B. R., Polimeni, J. R., & Lewis, L. D. (2019) · Science · doi:10.1126/science.aax5440 · Cited by 1,197 · see citing works
Lin, Y.-T., Seo, J., Gao, F., Feldman, H. M., Wen, H.-L., Penney, J., Cam, H. P., Gjoneska, E., Raja, W. K., Cheng, J., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.05.008 · Cited by 1,125 · see citing works
Self-citationCurrent understanding of Alzheimer’s disease diagnosis and treatment
Weller, J., & Budson, A. (2018) · F1000Research · doi:10.12688/f1000research.14506.1 · Cited by 1,083 · see citing works
Microglia in Alzheimer's disease
Sarlus, H., & Heneka, M. T. (2017) · Journal of Clinical Investigation · doi:10.1172/jci90606 · Cited by 911 · see citing works
Multi-sensory Gamma Stimulation Ameliorates Alzheimer’s-Associated Pathology and Improves Cognition
Martorell, A. J., Paulson, A. L., Suk, H.-J., Abdurrob, F., Drummond, G. T., Guan, W., Young, J. Z., Kim, D. N.-W., Kritskiy, O., Barker, S. J., et al. (2019) · Cell · doi:10.1016/j.cell.2019.02.014 · Cited by 798 · see citing works
Self-citationTemporal Tracking of Microglia Activation in Neurodegeneration at Single-Cell Resolution
Mathys, H., Adaikkan, C., Gao, F., Young, J. Z., Manet, E., Hemberg, M., De Jager, P. L., Ransohoff, R. M., Regev, A., & Tsai, L.-H. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.09.039 · Cited by 740 · see citing works
Self-citationMultifunctional materials for implantable and wearable photonic healthcare devices
Lee, G., Moon, H., Kim, H., Lee, G. H., Kwon, W., Yoo, S., Myung, D. J., Yun, S. H., Bao, Z., & Hahn, S. K. (2020) · Nature Reviews Materials · doi:10.1038/s41578-019-0167-3 · Cited by 673 · see citing works
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Johnson, E. C. B., Carter, E. K., Dammer, E. B., Duong, D. M., Gerasimov, E. S., Liu, Y., Liu, J., Betarbet, R., Ping, L., Yin, L., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-021-00999-y · Cited by 561 · see citing works
Promoting the clearance of neurotoxic proteins in neurodegenerative disorders of ageing
Boland, B., Yu, W. H., Corti, O., Mollereau, B., Henriques, A., Bézard, E., Pastores, G., Rubinsztein, D. C., Nixon, R. A., Duchen, M. R., et al. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2018.109 · Cited by 552 · see citing works
Brain Photobiomodulation Therapy: a Narrative Review
Salehpour, F., Mahmoudi, J., Kamari, F., Sadigh‐Eteghad, S., Rasta, S. H., & Hamblin, M. R. (2018) · Molecular Neurobiology · doi:10.1007/s12035-017-0852-4 · Cited by 534 · see citing works
Microglia and Astrocytes in Alzheimer's Disease: Implications for Therapy
Fakhoury, M. (2017) · Current Neuropharmacology · doi:10.2174/1570159x15666170720095240 · Cited by 482 · see citing works
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Converging pathways in neurodegeneration, from genetics to mechanisms
Gan, L., Cookson, M. R., Petrucelli, L., & Spada, A. R. L. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0237-7 · Cited by 475 · see citing works
Modeling Alzheimer’s disease with iPSC-derived brain cells
Penney, J., Ralvenius, W. T., & Tsai, L.-H. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0468-3 · Cited by 471 · see citing works
Self-citationGamma Entrainment Binds Higher-Order Brain Regions and Offers Neuroprotection
Adaikkan, C., Middleton, S. J., Marco, A., Pao, P., Mathys, H., Kim, D. N.-W., Gao, F., Young, J. Z., Suk, H., Boyden, E. S., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.04.011 · Cited by 469 · see citing works
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Zheng, Q., & Wang, X. (2024) · Protein & Cell · doi:10.1093/procel/pwae026 · Cited by 454 · see citing works
Practical considerations for choosing a mouse model of Alzheimer’s disease
Jankowsky, J. L., & Zheng, H. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-017-0231-7 · Cited by 449 · see citing works
The hippocampal sharp wave-ripple in memory retrieval for immediate use and consolidation
Joo, H. R., & Frank, L. M. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0077-1 · Cited by 430 · see citing works
Multisensory gamma stimulation promotes glymphatic clearance of amyloid
Murdock, M. H., Yang, C.-Y., Sun, N., Pao, P., Blanco‐Duque, C., Kahn, M. C., Kim, T., Lavoie, N., Victor, M. B., Islam, R., et al. (2024) · Nature · doi:10.1038/s41586-024-07132-6 · Cited by 370 · see citing works
Self-citationBenayoun, B. A., Pollina, E. A., Singh, P. P., Mahmoudi, S., Harel, I., Casey, K. M., Dulken, B. W., Kundaje, A., & Brunet, A. (2019) · Genome Research · doi:10.1101/gr.240093.118 · Cited by 360 · see citing works
New Insights Into the Pathogenesis of Alzheimer's Disease
Fan, L., Mao, C.-Y., Hu, X., Zhang, S., Yang, Z.-H., Hu, Z., Sun, H.-F., Fan, Y., Dong, Y., Yang, J., et al. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2019.01312 · Cited by 294 · see citing works
Xie, C., Zhuang, X., Niu, Z., Ai, R., Lautrup, S., Zheng, S., Jiang, Y., Han, R., Gupta, T. S., Cao, S., et al. (2022) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00819-5 · Cited by 347 · see citing works
Cerebral blood flow decrease as an early pathological mechanism in Alzheimer's disease
Korte, N., Nortley, R., & Attwell, D. (2020) · Acta Neuropathologica · doi:10.1007/s00401-020-02215-w · Cited by 343 · see citing works
Sensory lesioning induces microglial synapse elimination via ADAM10 and fractalkine signaling
Gunner, G., Cheadle, L., Johnson, K. M., Ayata, P., Badimon, A., Mondo, E., Nagy, M. A., Liu, L., Bemiller, S. M., Kim, K.-W., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0419-y · Cited by 311 · see citing works
The identity and function of microglia in neurodegeneration
Song, W. M., & Colonna, M. (2018) · Nature Immunology · doi:10.1038/s41590-018-0212-1 · Cited by 308 · see citing works
Challenges and hopes for Alzheimer’s disease
Tatulian, S. A. (2022) · Drug Discovery Today · doi:10.1016/j.drudis.2022.01.016 · Cited by 291 · see citing works
Advances in developing novel therapeutic strategies for Alzheimer’s disease
Cao, J., Hou, J., Ping, J., & Cai, D. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0299-8 · Cited by 283 · see citing works
Babiloni, C., Blinowska, K. J., Bonanni, L., Cichocki, A. S., de Haan, W., Percio, C. D., Dubois, B., Escudero, J., Fernández, A., Frisoni, G. B., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.09.008 · Cited by 282 · see citing works
Clearance of cerebral Aβ in Alzheimer’s disease: reassessing the role of microglia and monocytes
Zuroff, L. R., Daley, D. A., Black, K. L., & Koronyo‐Hamaoui, M. (2017) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-017-2463-7 · Cited by 275 · see citing works
Neurocognitive Function after Cardiac Surgery
Berger, M., Terrando, N., Smith, S. K., Browndyke, J. N., Newman, M. F., & Mathew, J. P. (2018) · Anesthesiology · doi:10.1097/aln.0000000000002194 · Cited by 264 · see citing works
Tau: Enabler of diverse brain disorders and target of rapidly evolving therapeutic strategies
Chang, C.-W., Shao, E., & Mucke, L. (2021) · Science · doi:10.1126/science.abb8255 · Cited by 263 · see citing works
Precuneus magnetic stimulation for Alzheimer’s disease: a randomized, sham-controlled trial
Koch, G., Casula, E. P., Bonnı̀, S., Borghi, I., Assogna, M., Minei, M., Pellicciari, M. C., Motta, C., D’Acunto, A., Porrazzini, F., et al. (2022) · Brain · doi:10.1093/brain/awac285 · Cited by 263 · see citing works
Wischnewski, M., Alekseichuk, I., & Opitz, A. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.11.013 · Cited by 252 · see citing works
Gamma oscillations in cognitive disorders
Mably, A. J., & Colgin, L. L. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.07.009 · Cited by 244 · see citing works
Optogenetic gamma stimulation rescues memory impairments in an Alzheimer’s disease mouse model
Etter, G., van der Veldt, S., Manseau, F., Zarrinkoub, I., Trillaud-Doppia, É., & Williams, S. (2019) · Nature Communications · doi:10.1038/s41467-019-13260-9 · Cited by 242 · see citing works
Modulating Human Memory via Entrainment of Brain Oscillations
Hanslmayr, S., Axmacher, N., & Inman, C. S. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.04.004 · Cited by 241 · see citing works
Gamma Entrainment: Impact on Neurocircuits, Glia, and Therapeutic Opportunities
Adaikkan, C., & Tsai, L. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.11.001 · Cited by 233 · see citing works
Self-citationBi, D., Wen, L., Wu, Z., & Shen, Y. (2020) · Alzheimer's & Dementia · doi:10.1002/alz.12088 · Cited by 232 · see citing works
Alzheimer’s Disease: From Firing Instability to Homeostasis Network Collapse
Frère, S. G. A., & Slutsky, I. (2018) · Neuron · doi:10.1016/j.neuron.2017.11.028 · Cited by 230 · see citing works
Chan, D., Suk, H., Jackson, B., Milman, N., Stark, D., Klerman, E. B., Kitchener, E. G., Avalos, V. S. F., de Weck, G., Banerjee, A., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0278412 · Cited by 229 · see citing works
Self-citationCone, A. S., Yuan, X., Sun, L. J., Duke, L. C., Vreones, M. P., Carrier, A. N., Kenyon, S. M., Carver, S. R., Cushing, S. D., Stimmell, A. C., et al. (2021) · Theranostics · doi:10.7150/thno.62069 · Cited by 224 · see citing works
Neuronal dynamics direct cerebrospinal fluid perfusion and brain clearance
Jiang-Xie, L.-F., Drieu, A., Bhasiin, K., Quintero, D., Smirnov, I., & Kipnis, J. (2024) · Nature · doi:10.1038/s41586-024-07108-6 · Cited by 220 · see citing works
Hijazi, S., Heistek, T. S., Scheltens, P., Neumann, U., Shimshek, D. R., Mansvelder, H. D., Smit, A. B., & van Kesteren, R. E. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0483-4 · Cited by 216 · see citing works
What Happens with the Circuit in Alzheimer's Disease in Mice and Humans?
Zott, B., Busche, M. A., Sperling, R. A., & Konnerth, A. (2018) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-080317-061725 · Cited by 215 · see citing works
EEG Theta Power Is an Early Marker of Cognitive Decline in Dementia due to Alzheimer’s Disease
Musaeus, C. S., Engedal, K., Høgh, P., Jelić, V., Mørup, M., Naik, M., Oeksengaard, A., Snædal, J., Wahlund, L., Waldemar, G., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180300 · Cited by 215 · see citing works
GABAergic Inhibitory Interneuron Deficits in Alzheimer’s Disease: Implications for Treatment
Xu, Y., Zhao, M., Han, Y., & Zhang, H. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00660 · Cited by 203 · see citing works
Meftah, S., & Gan, J. (2023) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2023.1129036 · Cited by 197 · see citing works
Parvalbumin interneuron vulnerability and brain disorders
Ruden, J. B., Dugan, L. L., & Konradi, C. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-020-0778-9 · Cited by 194 · see citing works
Glutamate and GABA in Microglia-Neuron Cross-Talk in Alzheimer’s Disease
Czapski, G. A., & Strosznajder, J. B. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222111677 · Cited by 194 · see citing works
Microglia regulate synaptic development and plasticity
Andoh, M., & Koyama, R. (2021) · Developmental Neurobiology · doi:10.1002/dneu.22814 · Cited by 188 · see citing works
Ye, X., Zhu, M., Che, X., Wang, H., Liang, X., Wu, C., Xue, X., & Yang, J. (2020) · Journal of Neuroinflammation · doi:10.1186/s12974-019-1644-8 · Cited by 184 · see citing works
Apolipoprotein E4, inhibitory network dysfunction, and Alzheimer’s disease
Najm, R., Jones, E. A., & Huang, Y. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0324-6 · Cited by 183 · see citing works
Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology
Hampel, H. J., (APMI), F. T. A. P. M. I., Toschi, N., Babiloni, C., Baldacci, F., Black, K. L., Bokde, A. L. W., Bun, R. S., Cacciola, F., Cavedo, E., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-179932 · Cited by 181 · see citing works
Microglia as hackers of the matrix: sculpting synapses and the extracellular space
Crapser, J. D., Arreola, M. A., Tsourmas, K. I., & Green, K. N. (2021) · Cellular & Molecular Immunology · doi:10.1038/s41423-021-00751-3 · Cited by 178 · see citing works
Benussi, A., Cantoni, V., Cotelli, M. S., Cotelli, M., Brattini, C., Datta, A., Thomas, C., Santarnecchi, E., Pascual‐Leone, Á., & Borroni, B. (2021) · Brain stimulation · doi:10.1016/j.brs.2021.03.007 · Cited by 177 · see citing works
Neural oscillations and brain stimulation in Alzheimer’s disease
Jafari, Z., Kolb, B. E., & Mohajerani, M. H. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101878 · Cited by 176 · see citing works
The GABAergic system as a therapeutic target for Alzheimer's disease
Guzmán, B. C., Vinnakota, C., Govindpani, K., Waldvogel, H. J., Faull, R. L. M., & Kwakowsky, A. (2018) · Journal of Neurochemistry · doi:10.1111/jnc.14345 · Cited by 170 · see citing works
The Theta Rhythm of the Hippocampus: From Neuronal and Circuit Mechanisms to Behavior
Núñez, Á., & Buño, W. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.649262 · Cited by 169 · see citing works
Benussi, A., Cantoni, V., Grassi, M., Bréchet, L., Michel, C. M., Datta, A., Thomas, C., Gazzina, S., Cotelli, M. S., Bianchi, M., et al. (2022) · Annals of Neurology · doi:10.1002/ana.26411 · Cited by 166 · see citing works
Disrupted Place Cell Remapping and Impaired Grid Cells in a Knockin Model of Alzheimer's Disease
Jun, H., Bramian, A., Soma, S., Saito, T., Saido, T. C., & Igarashi, K. M. (2020) · Neuron · doi:10.1016/j.neuron.2020.06.023 · Cited by 164 · see citing works
The role of gamma oscillations in central nervous system diseases: Mechanism and treatment
Guan, A., Wang, S., Huang, A., Qiu, C., Li, Y., Li, X., Jinfei, W., Wang, Q., & Deng, B. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.962957 · Cited by 164 · see citing works
Zomorrodi, R., Loheswaran, G., Pushparaj, A. P., & Lim, L. (2019) · Scientific Reports · doi:10.1038/s41598-019-42693-x · Cited by 163 · see citing works
Harris, S. S., Wolf, F., De Strooper, B., & Busche, M. A. (2020) · Neuron · doi:10.1016/j.neuron.2020.06.005 · Cited by 161 · see citing works
Jeon, Y., Choi, H., Lim, M., Choi, S., Kim, H., Kwon, J. H., Park, K., & Choi, K. C. (2018) · Advanced Materials Technologies · doi:10.1002/admt.201700391 · Cited by 155 · see citing works
Chao, L. L. (2019) · Photobiomodulation Photomedicine and Laser Surgery · doi:10.1089/photob.2018.4555 · Cited by 155 · see citing works
Gong, X., Mendoza-Halliday, D., Ting, J. T., Kaiser, T., Sun, X., Bastos, A. M., Wimmer, R. D., Guo, B., Chen, Q., Zhou, Y., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.03.032 · Cited by 152 · see citing works
Self-citationMicroglial Gi-dependent dynamics regulate brain network hyperexcitability
Merlini, M., Rafalski, V. A., Ma, K., Keun-young Kim, A., Bushong, E. A., Coronado, P. E. R., Yan, Z., Mendiola, A. S., Sözmen, E. G., Ryu, J. K., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00756-7 · Cited by 146 · see citing works
Drew, P. J., Matéo, C., Turner, K. L., Yu, X., & Kleinfeld, D. (2020) · Neuron · doi:10.1016/j.neuron.2020.07.020 · Cited by 144 · see citing works
Fast-spiking parvalbumin-positive interneurons in brain physiology and Alzheimer’s disease
Hijazi, S., Smit, A. B., & van Kesteren, R. E. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02168-y · Cited by 144 · see citing works
Emerging Biomedical Applications of Organic Light‐Emitting Diodes
Murawski, C., & Gather, M. C. (2021) · Advanced Optical Materials · doi:10.1002/adom.202100269 · Cited by 143 · see citing works
Functions and dysfunctions of neocortical inhibitory neuron subtypes
Hattori, R., Kuchibhotla, K. V., Froemke, R. C., & Komiyama, T. (2017) · Nature Neuroscience · doi:10.1038/nn.4619 · Cited by 142 · see citing works
Closed-loop all-optical interrogation of neural circuits in vivo
Zhang, Z., Russell, L. E., Packer, A. M., Gauld, O. M., & Häusser, M. (2018) · Nature Methods · doi:10.1038/s41592-018-0183-z · Cited by 142 · see citing works
Venturino, A., Schulz, R., De Jesús-Cortés, H., Maes, M. E., Nagy, B., Reilly-Andújar, F., Colombo, G., Cubero, R. J. A., Schoot Uiterkamp, F. E., Bear, M. F., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109313 · Cited by 140 · see citing works
Research Progress in the Pathogenesis of Alzheimer's Disease
Chen, Y. (2018) · Chinese Medical Journal · doi:10.4103/0366-6999.235112 · Cited by 139 · see citing works
Current and emerging avenues for Alzheimer's disease drug targets
Loera‐Valencia, R., Cedazo-Mı́nguez, Á., Kenigsberg, P.-A., Page, G., Duarte, A. I., Giusti, P., Zusso, M., Robert, P. H., Frisoni, G. B., Cattaneo, A., et al. (2019) · Journal of Internal Medicine · doi:10.1111/joim.12959 · Cited by 139 · see citing works
Non-invasive photobiomodulation treatment in an Alzheimer Disease-like transgenic rat model
Yang, L., Wu, C., Parker, E., Li, Y., Dong, Y., Tucker, L. D., Brann, D. W., Lin, H. W., & Zhang, Q. (2022) · Theranostics · doi:10.7150/thno.70756 · Cited by 137 · see citing works
Electrical stimulation of cranial nerves in cognition and disease
Adair, D., Truong, D. Q., Esmaeilpour, Z., Gebodh, N., Borges, H., Ho, L., Bremner, J. D., Badran, B. W., Napadow, V., Clark, V. P., et al. (2020) · Brain stimulation · doi:10.1016/j.brs.2020.02.019 · Cited by 134 · see citing works
Photobiomodulation for Alzheimer’s Disease: Has the Light Dawned?
Hamblin, M. R. (2019) · Photonics · doi:10.3390/photonics6030077 · Cited by 133 · see citing works
Tao, L., Liu, Q., Zhang, F., Fu, Y., Zhu, X. D., Weng, X., Han, H., Huang, Y., Suo, Y., Chen, L., et al. (2021) · Light Science & Applications · doi:10.1038/s41377-021-00617-3 · Cited by 133 · see citing works
Neurotransmitters in Prevention and Treatment of Alzheimer’s Disease
Yang, Z., Zou, Y., & Wang, L. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24043841 · Cited by 132 · see citing works
Cognitive Decline in Preclinical Alzheimer’s Disease: Amyloid-Beta versus Tauopathy
Huber, C. M., Yee, C., May, T., Dhanala, A., & Mitchell, C. S. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170490 · Cited by 131 · see citing works
Tauopathy: A common mechanism for neurodegeneration and brain aging
Saha, P., & Sen, N. (2019) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2019.01.007 · Cited by 128 · see citing works
Noninvasive 40-hz light flicker to recruit microglia and reduce amyloid beta load
Singer, A. C., Martorell, A. J., Douglas, J. M., Abdurrob, F., Attokaren, M. K., Tipton, J., Mathys, H., Adaikkan, C., & Tsai, L.-H. (2018) · Nature Protocols · doi:10.1038/s41596-018-0021-x · Cited by 127 · see citing works
Self-citationMably, A. J., Gereke, B. J., Jones, D. T., & Colgin, L. L. (2016) · Hippocampus · doi:10.1002/hipo.22697 · Cited by 127 · see citing works
Mapping cortical mesoscopic networks of single spiking cortical or sub-cortical neurons
Xiao, D., Vanni, M. P., Mitelut, C., Chan, A. W., LeDue, J. M., Xie, Y., Chen, A. C. N., Swindale, N. V., & Murphy, T. H. (2017) · eLife · doi:10.7554/elife.19976 · Cited by 127 · see citing works
Parvalbumin interneuron in the ventral hippocampus functions as a discriminator in social memory
Deng, X., Gu, L., Sui, N., Guo, J., & Liang, J. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1819133116 · Cited by 125 · see citing works
Modulating Gamma Oscillations Promotes Brain Connectivity to Improve Cognitive Impairment
Liu, C., Han, T., Xu, Z., Liu, J., Zhang, M., Du, J., Zhou, Q., Duan, Y., Li, Y., Wang, J., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab371 · Cited by 125 · see citing works
Petrache, A. L., Rajulawalla, A., Shi, A., Wetzel, A., Saito, T., Saido, T. C., Harvey, K., & Ali, A. B. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz016 · Cited by 124 · see citing works
Xu, Y., Jiang, C., Wu, J., Liu, P., Deng, X., Zhang, Y., Peng, B., & Zhu, Y. (2021) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.13779 · Cited by 122 · see citing works
A feasibility trial of gamma sensory flicker for patients with prodromal Alzheimer's disease
He, Q., Colon‐Motas, K. M., Pybus, A. F., Piendel, L. A., Seppa, J. K., Walker, M. L., Manzanares, C. M., Qiu, D., Miocinovic, S., Wood, L. B., et al. (2021) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12178 · Cited by 120 · see citing works
Self-citationJin, W., Shen, L., Bu, X., Zhang, W., Chen, S., Huang, Z., Xiong, J., Gao, C., Dong, Z., He, Y., et al. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1721-y · Cited by 119 · see citing works
Slow Wave Sleep Is a Promising Intervention Target for Alzheimer’s Disease
Lee, Y. F., Gerashchenko, D., Timofeev, I., Bacskai, B. J., & Kastanenka, K. V. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00705 · Cited by 119 · see citing works
Metformin reverses early cortical network dysfunction and behavior changes in Huntington’s disease
Arnoux, I., Willam, M., Griesche, N., Krummeich, J., Watari, H., Offermann, N., Weber, S. S., Dey, P. N., Chen, C., Monteiro, O., et al. (2018) · eLife · doi:10.7554/elife.38744 · Cited by 117 · see citing works
Excitatory-inhibitory imbalance in Alzheimer's disease and therapeutic significance
Varela, E. V., Etter, G., & Williams, S. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.04.010 · Cited by 116 · see citing works
Salehpour, F., Gholipour-Khalili, S., Farajdokht, F., Kamari, F., Walski, T., Hamblin, M. R., DiDuro, J. O., & Cassano, P. (2019) · Reviews in the Neurosciences · doi:10.1515/revneuro-2019-0063 · Cited by 116 · see citing works
Optogenetic stimulation of dentate gyrus engrams restores memory in Alzheimer's disease mice
Perusini, J. N., Cajigas, S. A., Cohensedgh, O., Lim, S. C., Pavlova, I. P., Donaldson, Z. R., & Denny, C. A. (2017) · Hippocampus · doi:10.1002/hipo.22756 · Cited by 115 · see citing works
- Authors
- Iaccarino, H. F., Singer, A. C., Martorell, A. J., Rudenko, A., Gao, F., Gillingham, T. Z., Mathys, H., Seo, J., Kritskiy, O., Abdurrob, F., Adaikkan, C., Canter, R. G., Rueda, R., Brown, E. N., Boyden, E. S., & Tsai, L.-H.
- Affiliations
- McGovern Institute for Brain Research (US)
- Massachusetts Institute of Technology (US)
- Massachusetts General Hospital (US)
- Broad Institute (US)
- Corresponding author
- Tsai, Li-Huei
- ORCID
- Venue
- Nature
- Published
- 2016-12-07
- Volume
- 540
- Issue
- 7632
- Pages
- 230-235
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC5656389
- OpenAlex
- W2560234750
- Cited by
- 1,328
- References
- 41
- Citations by year
- 2026: 169 · 2025: 191 · 2024: 172 · 2023: 160 · 2022: 147 · 2021: 150 · 2020: 131 · 2019: 85 · 2018: 76 · 2017: 42 · 2016: 2
- FWCI
- 54.95
- Type
- journal article
- Language
- en
- Update notices
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion)
- PMC
- Funders
- National Institute on Aging (RF1AG047661)
- National Eye Institute (R01EY023173)
- National Institute of General Medical Sciences (R01GM104948)
- National Institute of Neurological Disorders and Stroke (DP1NS087724)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- gamma oscillations, Alzheimer's disease, amyloid-beta, microglia, parvalbumin interneurons, optogenetics, amyloid plaques, 5xFAD mice, APP/PS1 mice, visual cortex, neurodegeneration
- MeSH terms
- Alzheimer Disease, Amyloid, Animals, Disease Models, Animal, Female, Interneurons, Light, Male, Parvalbumins, Peptide Fragments, Visual Cortex, Amyloid beta-Peptides, Microglia, Cell Shape, Mice, CA1 Region, Hippocampal, Plaque, Amyloid, Transcriptome, Optogenetics, Gamma Rhythm
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