Patterned stimulation at the theta frequency is optimal for the induction of hippocampal long-term potentiation
Abstract
Short, high frequency stimulation bursts (4 pulses at 100 Hz) were applied to Schaffer/commissural projections to the CA1 field of rat hippocampal slices at 0.1, 0.2, 1.0 or 2.0-s intervals to assess their efficacy in eliciting long-term potentiation (LTP). Bursts repeated at 2-s intervals induced very little LTP; shorter repetition intervals reliably elicited LTP, with the 200-ms repetition interval producing the greatest potentiation. A short-term potentiation effect, which was maximal 20 s after the last burst and decayed within 10 min, was affected differently by the stimulation parameters than was LTP, suggesting that the two phenomena are due to different processes. The results indicate that patterns of stimulation resembling spike discharge patterns of hippocampal neurons in animals in exploratory situations are effective in inducing LTP and suggest temporal constraints on the mechanisms involved in triggering synaptic plasticity.
Integrity signals
Registry
Cites
Statistics
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?
Animal studies have shown that bursts of 3-5 pulses at 50-100 Hz (theta rhythm) induce LTP/LTD when applied to the motor cortex or hippocampus.
“Animal studies have shown that bursts of 3-5 pulses at 50-100 Hz (theta rhythm) induce LTP/LTD when applied to the motor cortex or hippocampus (Hess & Donoghue, 1996; Larson, et al., 1986).”
From Theta burst stimulation to characterize changes in brain plasticity following mild traumatic brain injury: A proof-of-principle study (2015) · cites this paper as Larson, et al., 1986
The iTBS stimulation pattern closely resembles theta rhythms (5-7 Hz), which facilitate long-term potentiation and are associated with learning and memory processes.
“This stimulation pattern closely resembles theta rhythms (5-7 Hz), which are known to facilitate long-term potentiation and are associated with learning and memory processes.12”
From Can Intermittent Theta-Burst Stimulation of Dorsolateral Prefrontal Cortex Relieve Executive Dysfunction in Patients With Late-Life Depression? (2024) · cites this paper as [12]
TBS is designed to mimic the in vivo firing patterns of hippocampal neurons during exploratory behavior.
“TBS is designed to mimic the in vivo firing patterns of hippocampal neurons during exploratory behavior 127 .”
From NAD+ hydrolase Sarm1 is a key driver of synapse degeneration and memory loss in Alzheimer’s disease (2025) · cites this paper as [127]
Cites
Intracellular injections of EGTA block induction of hippocampal long-term potentiation
Lynch, G., Larson, J., Kelso, S., Barrionuevo, G., & Schottler, F. (1983) · Nature · doi:10.1038/305719a0 · Cited by 1,116 · see citing works
Self-citationMcNaughton, B. L. (1982) · The Journal of Physiology · doi:10.1113/jphysiol.1982.sp014110 · Cited by 332 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis
Klimesch, W. (1999) · Brain Research Reviews · doi:10.1016/s0165-0173(98)00056-3 · Cited by 6,889 · see citing works
GABA-containing neurons in the septum control inhibitory interneurons in the hippocampus
Freund, T. F., & Antal, M. (1988) · Nature · doi:10.1038/336170a0 · Cited by 1,283 · see citing works
Replay of neuronal firing sequences in rat hippocampus during sleep following spatial experience
Skaggs, W. E., & McNaughton, B. L. (1996) · Science · doi:10.1126/science.271.5257.1870 · Cited by 1,173 · see citing works
The MAPK cascade is required for mammalian associative learning
Atkins, C. M., Selcher, J. C., Petraitis, J. J., Trzaskos, J. M., & Sweatt, J. D. (1998) · Nature Neuroscience · doi:10.1038/2836 · Cited by 1,083 · see citing works
Memory processes, brain oscillations and EEG synchronization
Klimesch, W. (1996) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(96)00057-8 · Cited by 923 · see citing works
NMDA-receptor-dependent synaptic plasticity: multiple forms and mechanisms
Malenka, R. C., & Nicoll, R. A. (1993) · Trends in Neurosciences · doi:10.1016/0166-2236(93)90197-t · Cited by 904 · see citing works
The hippocampus—what does it do?
Eichenbaum, H., Otto, T., & Cohen, N. J. (1992) · Behavioral and Neural Biology · doi:10.1016/0163-1047(92)90724-i · Cited by 867 · see citing works
Diamond, D. M., Campbell, A. M., Park, C. R., Halonen, J., & Zoladz, P. R. (2007) · Neural Plasticity · doi:10.1155/2007/60803 · Cited by 762 · see citing works
“[129]; Staubli and Lynch [130] for related work).”
BackgroundPhysiology of repetitive transcranial magnetic stimulation of the human brain
Hoogendam, J. M., Ramakers, G. M. J., & Di Lazzaro, V. (2010) · Brain Stimulation · doi:10.1016/j.brs.2009.10.005 · Cited by 669 · see citing works
The reinterpretation of dreams: An evolutionary hypothesis of the function of dreaming
Revonsuo, A. (2000) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00004015 · Cited by 676 · see citing works
Rhythms of the hippocampal network
Colgin, L. L. (2016) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.21 · Cited by 654 · see citing works
Ten years of theta burst stimulation in humans: Established knowledge, unknowns and prospects
Suppa, A., Huang, Y.-Z., Funke, K., Ridding, M. C., Cheeran, B., Di Lazzaro, V., Ziemann, U., & Rothwell, J. C. (2016) · Brain Stimulation · doi:10.1016/j.brs.2016.01.006 · Cited by 609 · see citing works
Mechanisms and functions of theta rhythms
Colgin, L. L. (2013) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062012-170330 · Cited by 559 · see citing works
Kutsuwada, T., Sakimura, K., Manabe, T., Takayama, C., Katakura, N., Kushiya, E., Natsume, R., Watanabe, M., Inoue, Y., Yagi, T., et al. (1996) · Neuron · doi:10.1016/s0896-6273(00)80051-3 · Cited by 498 · see citing works
Clinical utility and prospective of TMS–EEG
Tremblay, S., Rogasch, N. C., Premoli, I., Blumberger, D. M., Casarotto, S., Chen, R., Di Lazzaro, V., Farzan, F., Ferrarelli, F., Fitzgerald, P. B., et al. (2019) · Clinical Neurophysiology · doi:10.1016/j.clinph.2019.01.001 · Cited by 472 · see citing works
Bourne, J. N., & Harris, K. M. (2011) · Hippocampus · doi:10.1002/hipo.20768 · Cited by 318 · see citing works
Cholesterol 24-Hydroxylase: an enzyme of cholesterol turnover in the brain
Russell, D. W., Halford, R. W., Ramirez, D. M. O., Shah, R., & Kotti, T. (2009) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.78.072407.103859 · Cited by 317 · see citing works
Wang, X.-B., Bozdagi, O., Nikitczuk, J. S., Zhai, Z. W., Zhou, Q., & Huntley, G. W. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0807248105 · Cited by 316 · see citing works
Larson, J., & Munkácsy, E. (2015) · Brain Research · doi:10.1016/j.brainres.2014.10.034 · Cited by 285 · see citing works
Self-citationLee, H.-K., Takamiya, K., He, K., Song, L., & Huganir, R. L. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00835.2009 · Cited by 261 · see citing works
Tong, L., Prieto, G. A., Kramár, E. A., Smith, E. D., Cribbs, D. H., Lynch, G., & Cotman, C. W. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.1253-12.2012 · Cited by 254 · see citing works
Self-citationFOGEL, S., SMITH, C., & COTE, K. (2007) · Behavioural Brain Research · doi:10.1016/j.bbr.2007.02.037 · Cited by 246 · see citing works
Transcranial magnetic brain stimulation: Therapeutic promises and scientific gaps
Wassermann, E. M., & Zimmermann, T. (2012) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2011.09.003 · Cited by 243 · see citing works
Innervation of different peptide-containing neurons in the hippocampus by gabaergic septal afferents
Gulyás, A. I., Görcs, T. J., & Freund, T. F. (1990) · Neuroscience · doi:10.1016/0306-4522(90)90189-b · Cited by 234 · see citing works
A hebbian form of long-term potentiation dependent on mGluR1a in hippocampal inhibitory interneurons
Perez, Y., Morin, F., & Lacaille, J.-C. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.161493498 · Cited by 202 · see citing works
LTP consolidation: Substrates, explanatory power, and functional significance
Lynch, G., Rex, C. S., & Gall, C. M. (2007) · Neuropharmacology · doi:10.1016/j.neuropharm.2006.07.027 · Cited by 214 · see citing works
Self-citationEvidence for a paradoxical sleep window for place learning in the Morris water maze
Smith, C., & Rose, G. M. (1996) · Physiology & Behavior · doi:10.1016/0031-9384(95)02054-3 · Cited by 211 · see citing works
Changes in Cortical Plasticity Across the Lifespan
Freitas, C., Perez, J., Knobel, M., Tormos, J. M., Oberman, L., Eldaief, M., Bashir, S., Vernet, M., Peña-Gómez, C., & Pascual-Leone, A. (2011) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2011.00005 · Cited by 172 · see citing works
Wnts in adult brain: from synaptic plasticity to cognitive deficiencies
Oliva, C. A., Vargas, J. Y., & Inestrosa, N. C. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00224 · Cited by 162 · see citing works
Vanderklish, P. W., Krushel, L. A., Holst, B. H., Gally, J. A., Crossin, K. L., & Edelman, G. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.040565597 · Cited by 163 · see citing works
Theta oscillations and the ERP old/new effect: independent phenomena?
Klimesch, W., Doppelmayr, M., Schwaiger, J., Winkler, T., & Gruber, W. (2000) · Clinical Neurophysiology · doi:10.1016/s1388-2457(00)00254-6 · Cited by 156 · see citing works
Elfn1 Regulates Target-Specific Release Probability at CA1-Interneuron Synapses
Sylwestrak, E. L., & Ghosh, A. (2012) · Science · doi:10.1126/science.1222482 · Cited by 151 · see citing works
Chapman, C. A., & Lacaille, J.-C. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-19-08637.1999 · Cited by 144 · see citing works
PARP-1 activation in the ERK signaling pathway
COHENARMON, M. (2007) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2007.08.005 · Cited by 137 · see citing works
Larson, J., Jessen, R. E., Kim, D., Fine, A.-K. S., & du Hoffmann, J. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2638-05.2005 · Cited by 135 · see citing works
Self-citationChen, Y., Kramár, E. A., Chen, L. Y., Babayan, A. H., Andres, A. L., Gall, C. M., Lynch, G., & Baram, T. Z. (2013) · Molecular Psychiatry · doi:10.1038/mp.2012.17 · Cited by 115 · see citing works
Self-citationIh from synapses to networks: HCN channel functions and modulation in neurons
Combe, C. L., & Gasparini, S. (2021) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2021.06.002 · Cited by 101 · see citing works
Lynch, G., Kramár, E. A., Babayan, A. H., Rumbaugh, G., & Gall, C. M. (2013) · Neuropharmacology · doi:10.1016/j.neuropharm.2012.07.006 · Cited by 97 · see citing works
Self-citationApoE isoform-dependent changes in hippocampal synaptic function
Korwek, K. M., Trotter, J. H., LaDu, M. J., Sullivan, P. M., & Weeber, E. J. (2009) · Molecular Neurodegeneration · doi:10.1186/1750-1326-4-21 · Cited by 89 · see citing works
Shors, T. J., & Thompson, R. F. (1992) · Synapse · doi:10.1002/syn.890110311 · Cited by 88 · see citing works
Fogel, S. M., Smith, C. T., & Beninger, R. J. (2009) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2009.03.002 · Cited by 80 · see citing works
Fast gamma rhythms in the hippocampus promote encoding of novel object-place pairings
Zheng, C., Bieri, K. W., Hwaun, E., & Colgin, L. L. (2016) · eNeuro · doi:10.1523/eneuro.0001-16.2016 · Cited by 79 · see citing works
Maternal regulation of infant brain state
Sarro, E. C., Wilson, D. A., & Sullivan, R. M. (2014) · Current Biology · doi:10.1016/j.cub.2014.06.017 · Cited by 61 · see citing works
Nishida, M., Hirai, N., Miwakeichi, F., Maehara, T., Kawai, K., Shimizu, H., & Uchida, S. (2004) · Neuroscience Research · doi:10.1016/j.neures.2004.08.004 · Cited by 54 · see citing works
Pharmacological enhancement of memory or cognition in normal subjects
Lynch, G. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00090 · Cited by 46 · see citing works
Self-citationCao, G., & Harris, K. M. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00297.2014 · Cited by 41 · see citing works
Sabaliauskas, N., Shen, H., Molla, J., Gong, Q. H., Kuver, A., Aoki, C., & Smith, S. S. (2015) · Brain Research · doi:10.1016/j.brainres.2014.12.026 · Cited by 39 · see citing works
REM sleep theta changes in frequent nightmare recallers
Marquis, L.-P., Paquette, T., Blanchette-Carrière, C., Dumel, G., & Nielsen, T. (2017) · SLEEP · doi:10.1093/sleep/zsx110 · Cited by 29 · see citing works
Le, A. A., Quintanilla, J., Amani, M., Piomelli, D., Lynch, G., & Gall, C. M. (2022) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105565 · Cited by 22 · see citing works
Self-citationMcEwen (2004) · doi:10.1016/s1054-3589(04)50016-9 · Cited by 22 · see citing works
Cristancho, P., Arora, J., Nishino, T., Berger, J., Carter, A., Blumberger, D., Miller, P., Snyder, A., Barch, D., & Lenze, E. J. (2023) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5851 · Cited by 19 · see citing works
Modulation of normal and altered hippocampal excitability states by septal networks
Colom, L. V., & Garrido‐Sanabria, E. (2007) · Journal of Neuroscience Research · doi:10.1002/jnr.21276 · Cited by 17 · see citing works
Tremblay, S., Vernet, M., Bashir, S., Pascual-Leone, A., & Théoret, H. (2015) · Restorative Neurology and Neuroscience · doi:10.3233/rnn-140459 · Cited by 14 · see citing works
Stojanovic, T., Velarde Gamez, D., Schuld, G. J., Bormann, D., Cabatic, M., Uhrin, P., Lubec, G., & Monje, F. J. (2022) · Cells · doi:10.3390/cells11020261 · Cited by 8 · see citing works
Beijing Key Laboratory of Mental Disorders, N. C. R. C. F. M. D. &. N. C. F. M. D., Li, L., Ren, L., Beijing Key Laboratory of Mental Disorders, N. C. R. C. F. M. D. &. N. C. F. M. D., Liu, C., & Beijing Key Laboratory of Mental Disorders, N. C. R. C. F. M. D. &. N. C. F. M. D. (2024) · Alpha Psychiatry · doi:10.5152/alphapsychiatry.2024.231485 · Cited by 1 · see citing works
NAD+ hydrolase Sarm1 is a key driver of synapse degeneration and memory loss in Alzheimer’s disease
Fan, F., Joshi, P., Liu, X., Kotturu, S. K., Abiola, M., Liu, Q., & Lou, X. (2025) · doi:10.64898/2025.12.21.695860
- Authors
- Larson, J., Wong, D., & Lynch, G.
- Affiliations
- University of California, Irvine (US)
- Corresponding author
- Larson, John
- ORCID
- Lynch, Gary
- Venue
- Brain Research
- Publisher
- Elsevier BV
- Published
- 1986-03
- Volume
- 368
- Issue
- 2
- Pages
- 347-350
- ISSN
- 0006-8993 (ISSN-L)
- OpenAlex
- W1970542265
- Cited by
- 1,037
- References
- 2
- Citations by year
- 2026: 16 · 2025: 15 · 2024: 30 · 2023: 18 · 2022: 30 · 2021: 31 · 2020: 24 · 2019: 25 · 2018: 30 · 2017: 43 · 2016: 29 · 2015: 31 · 2014: 27 · 2013: 39 · 2012: 25
- FWCI
- 5.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- long-term potentiation, hippocampus, CA1, short-term potentiation, synaptic plasticity
- MeSH terms
- Animals, Electric Stimulation, Electroencephalography, Evoked Potentials, Hippocampus, Male, Neurons, Rats, Inbred Strains, Reaction Time, Theta Rhythm, Time Factors, Rats
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