Medial Temporal Theta/Alpha Power Enhancement Precedes Successful Memory Encoding: Evidence Based on Intracranial EEG
Open accessAbstract
Not only poststimulus, but also prestimulus neural activity has been shown to be predictive for later successful memory encoding. However, it is still not clear which medial temporal lobe processes precede effective memory formation. Here, our aim was to investigate whether such prestimulus markers for successful memory encoding can be specified based on intracranial recordings directly from the hippocampus and rhinal cortex. For this purpose, we analyzed subsequent memory effects during a continuous word recognition paradigm in 31 presurgical epilepsy patients. We found that rhinal and hippocampal theta and successive alpha power enhancement before word presentation predicted successful memory encoding. Previous studies suggest that stimulus-triggered hippocampal theta activity is particularly related to memory retrieval and activation of a mnemonic context, whereas the alpha rhythm reflects inhibitory top-down control of task processing and executive functioning. In line with these suggestions, we propose that the observed medial temporal theta and alpha power increases before stimulus presentation reflect activation of contextual information and inhibitory top-down control processes preparing for stimulus-triggered memory processing.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Theta activity in waking is considered a condition favoring the encoding of new information and associated synaptic plastic processes in hippocampal networks.
“Theta activity in waking is considered a condition favoring the encoding of new information and associated synaptic plastic processes in hippocampal networks (64,371,612,1251).”
From About Sleep's Role in Memory (2013) · cites this paper as [371]
The Discussion (page unavailable) reports that increased hippocampal theta power before word presentation predicted successful memory formation, supporting the encoding part of the claim. It does not link that activity to synaptic plasticity in hippocampal networks; a search for synaptic plasticity and long-term potentiation found no such passage. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe amount of theta power present at the time individuals are asked to recall a stimulus is associated with the recall of that stimulus.
“(1) the amount of theta power present at the time individuals are asked to recall a stimulus is associated with the recall of that stimulus (Fell et al., 2011; Guderian, Schott, Richardson-Klavehn, & Duzel, 2009; Lega, Jacobs, & Kahana, 2012; Watrous et al., 2013)”
From Brain oscillations, hypnosis, and hypnotizability (2015) · cites this paper as Fell et al., 2011
The Results associate prestimulus hippocampal theta power with whether words were later remembered. But the Materials and Methods specify that theta was measured around the words’ first presentation, not when participants were later asked to recognize them at the second presentation. The claim gets the association with later memory right but places the measurement at the wrong time. (LLM, conf=0.90)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Nonparametric statistical testing of EEG- and MEG-data
Maris, E., & Oostenveld, R. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.03.024 · Cited by 8,496 · see citing works
EEG alpha oscillations: The inhibition–timing hypothesis
Klimesch, W., Sauseng, P., & Hanslmayr, S. (2006) · Brain Research Reviews · doi:10.1016/j.brainresrev.2006.06.003 · Cited by 3,890 · see citing works
Squire, L. R., Stark, C. E. L., & Clark, R. E. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144130 · Cited by 2,680 · 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
The Medial Temporal Lobe and Recognition Memory
Eichenbaum, H., Yonelinas, A. P., & Ranganath, C. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.30.051606.094328 · Cited by 2,580 · see citing works
A cortical–hippocampal system for declarative memory
Eichenbaum, H. (2000) · Nature reviews. Neuroscience · doi:10.1038/35036213 · Cited by 1,725 · see citing works
Ray, W. J., & Cole, H. W. (1985) · Science · doi:10.1126/science.3992243 · Cited by 1,146 · see citing works
Reward-motivated learning: mesolimbic activation precedes memory formation
Adcock, R. A., Thangavel, A., Whitfield-Gabrieli, S., Knutson, B., & Gabrieli, J. D. E. (2006) · Neuron · doi:10.1016/j.neuron.2006.03.036 · Cited by 977 · see citing works
Buzsáki, G. (2005) · Hippocampus · doi:10.1002/hipo.20113 · Cited by 872 · see citing works
Theta and gamma oscillations predict encoding and retrieval of declarative memory
Osipova, D., Takashima, A., Oostenveld, R., Fernández, G., Maris, E., & Jensen, O. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1948-06.2006 · Cited by 671 · see citing works
Human memory strength is predicted by theta-frequency phase-locking of single neurons
Rutishauser, U., Ross, I. B., Mamelak, A. N., & Schuman, E. M. (2010) · Nature · doi:10.1038/nature08860 · Cited by 622 · see citing works
Cooper, N. R., Croft, R. J., Dominey, S. J. J., Burgess, A., & Gruzelier, J. H. (2003) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(02)00107-1 · Cited by 615 · see citing works
Jokisch, D., & Jensen, O. B. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.5399-06.2007 · Cited by 508 · see citing works
Kahana, M. J., Seelig, D., & Madsen, J. R. (2001) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(01)00278-1 · Cited by 485 · see citing works
Memory formation by neuronal synchronization
Axmacher, N., Mormann, F., Fernández, G., Elger, C. E., & Fell, J. (2006) · Brain Research Reviews · doi:10.1016/j.brainresrev.2006.01.007 · Cited by 480 · see citing works
Self-citationDetecting direction of coupling in interacting oscillators
Rosenblum, M. G., & PIKOVSKY, A. S. (2001) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.64.045202 · Cited by 463 · see citing works
Hippocampal and Neocortical Gamma Oscillations Predict Memory Formation in Humans
Sederberg, P. B., Schulze‐Bonhage, A., Madsen, J. R., Bromfield, E. B., McCarthy, D. C., Brandt, A., Tully, M., & Kahana, M. J. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhl030 · Cited by 408 · see citing works
Brain Oscillations Control Timing of Single-Neuron Activity in Humans
Jacobs, J., Kahana, M. J., Ekstrom, A. D., & Fried, I. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.4636-06.2007 · Cited by 368 · see citing works
Real-Time Tracking of Memory Formation in the Human Rhinal Cortex and Hippocampus
Fernández, G., Effern, A., Grünwald, T., Pezer, N., Lehnertz, K., Dümpelmann, M., Roost, D. V., & Elger, C. E. (1999) · Science · doi:10.1126/science.285.5433.1582 · Cited by 346 · see citing works
Self-citationThe human hippocampus: An atlas of applied anatomy
Duvernoy, H. M. (1988) · Medical Entomology and Zoology · Cited by 335 · see citing works
Theta synchronization during episodic retrieval: neural correlates of conscious awareness
Klimesch, W., Doppelmayr, M., Yonelinas, A., Kroll, N. E. A., Lazzara, M., Röhm, D., & Gruber, W. (2001) · Cognitive Brain Research · doi:10.1016/s0926-6410(01)00024-6 · Cited by 266 · see citing works
Medial temporal theta state before an event predicts episodic encoding success in humans
Guderian, S., Schott, B. H., Richardson-Klavehn, A., & Düzel, E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900289106 · Cited by 260 · see citing works
When encodong yields remembering: insights from event-related neuroimaging
Wagner, A. D., Koutstaal, W., & Schacter, D. L. (1999) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.1999.0481 · Cited by 237 · see citing works
Effects of chronic epilepsy on declarative memory systems
Helmstaedter, C. (2002) · Progress in brain research · doi:10.1016/s0079-6123(02)35041-6 · Cited by 219 · see citing works
Axmacher, N., Schmitz, D. P., Wagner, T., Elger, C. E., & Fell, J. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.1778-08.2008 · Cited by 204 · see citing works
Self-citationBrain activity before an event predicts later recollection
Otten, L. J., Quayle, A. H., Akram, S., Ditewig, T. A., & Rugg, M. D. (2006) · Nature Neuroscience · doi:10.1038/nn1663 · Cited by 173 · see citing works
Guderian, S., & Düzel, E. (2005) · Hippocampus · doi:10.1002/hipo.20125 · Cited by 150 · see citing works
Mackiewicz, K. L., Sarinopoulos, I., Cleven, K. L., & Nitschke, J. B. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601648103 · Cited by 147 · see citing works
Evidence relating human verbal memory to hippocampal N -methyl- d- aspartate receptors
Grünwald, T., Beck, H., Lehnertz, K., Blümcke, I., Pezer, N., Kurthen, M., Fernández, G., Roost, D. V., Heinze, H. J., Marta Kutas, A., et al. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.21.12085 · Cited by 142 · see citing works
Self-citationRoost, D. V., Solymosi, L., Schramm, J., van Oosterwyck, B., & Eiger, C. E. (1998) · Neurosurgery · doi:10.1097/00006123-199810000-00058 · Cited by 114 · see citing works
Limbic P3 potentials, seizure localization, and surgical pathology in temporal lobe epilepsy
Puce, A., Kalnins, R. M., Berkovic, S. F., & Bladin, P. F. (1989) · Annals of Neurology · doi:10.1002/ana.410260311 · Cited by 101 · see citing works
Phase-locking within human mediotemporal lobe predicts memory formation
Fell, J., Ludowig, E., Rosburg, T., Axmacher, N., & Elger, C. E. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.07.021 · Cited by 98 · see citing works
Self-citationThe 3D topography of MEG source localization accuracy: effects of conductor model and noise
Tarkiainen, A., Liljeström, M., Seppä, M., & Salmelin, R. H. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(03)00195-0 · Cited by 81 · see citing works
Prestimulus EEG alpha activity reflects prestimulus top-down processing
Min, B., & Herrmann, C. S. (2007) · Neuroscience Letters · doi:10.1016/j.neulet.2007.06.013 · Cited by 78 · see citing works
Prestimulus hippocampal activity predicts later recollection
Park, H., & Rugg, M. D. (2009) · Hippocampus · doi:10.1002/hipo.20663 · Cited by 75 · see citing works
Alterations of intrahippocampal cognitive potentials in temporal lobe epilepsy
Grünwald, T., Elger, C. E., Lehnertz, K., Roost, D. V., & Heinze, H. J. (1995) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(95)00015-q · Cited by 70 · see citing works
Self-citationSantiuste, M., Nowak, R., Russi, A., Tarancón, T., Oliver, B., Ayats, E., Scheler, G., & Graetz, G. (2008) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0b013e31818e7913 · Cited by 60 · see citing works
Helmstaedter, C., Fritz, N. E., Pérez, P. A. G., Elger, C. E., & Weber, B. (2006) · Epilepsy Research · doi:10.1016/j.eplepsyres.2006.03.005 · Cited by 50 · see citing works
Self-citationPrestimulus Subsequent Memory Effects for Auditory and Visual Events
Otten, L. J., Quayle, A. H., & Puvaneswaran, B. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21298 · Cited by 46 · see citing works
Nerad, L., & Bilkey, D. K. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00199.2004 · Cited by 30 · see citing works
The detection of transient directional couplings based on phase synchronization
Wagner, T., Fell, J., & Lehnertz, K. (2010) · New Journal of Physics · doi:10.1088/1367-2630/12/5/053031 · Cited by 24 · see citing works
Self-citationOtten, L. J. (2002) · Trends in Neurosciences · doi:10.1016/s0166-2236(02)02176-8 · Cited by 17 · see citing works
Duvernoy, H. M. (1988) · J.F. Bergmann-Verlag eBooks · doi:10.1007/978-3-642-54195-7_4 · Cited by 11 · see citing works
High-resolution intersubject averaging and a coordinate system for the cortical surface
Fischl, B., Sereno, M. I., Tootell, R. B. H., & Dale, A. M. (1999) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(1999)8:4
Flagged first, then by citations
Cited by
Sorted by citations
Rasch, B., & Born, J. (2013) · Physiological Reviews · doi:10.1152/physrev.00032.2012 · Cited by 2,783 · see citing works
“Theta activity in waking is considered a condition favoring the encoding of new information and associated synaptic plastic processes in hippocampal networks (64, 371, 612, 1251).”
BackgroundLisman, J. E., & Jensen, O. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.007 · Cited by 1,609 · see citing works
Carhart-Harris, R. L., Leech, R., Hellyer, P. J., Shanahan, M., Feilding, A., Tagliazucchi, E., Chialvo, D. R., & Nutt, D. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00020 · Cited by 1,252 · see citing works
Theta Oscillations in Human Memory
Herweg, N. A., Solomon, E. A., & Kahana, M. J. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.12.006 · Cited by 557 · see citing works
Hsieh, L.-T., & Ranganath, C. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.003 · Cited by 525 · see citing works
Oscillatory power decreases and long-term memory: the information via desynchronization hypothesis
Hanslmayr, S., Staudigl, T., & Fellner, M.-C. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00074 · Cited by 501 · see citing works
Beyond the FRN: Broadening the time-course of EEG and ERP components implicated in reward processing
Glazer, J. E., Kelley, N. J., Pornpattananangkul, N., Mittal, V. A., & Nusslock, R. (2018) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2018.02.002 · Cited by 362 · see citing works
Communication between Brain Areas Based on Nested Oscillations
Bonnefond, M., Kästner, S., & Jensen, O. B. (2017) · eNeuro · doi:10.1523/eneuro.0153-16.2017 · Cited by 270 · see citing works
Oscillatory activity in the monkey hippocampus during visual exploration and memory formation
Jutras, M. J., Fries, P., & Buffalo, E. A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1302351110 · Cited by 274 · see citing works
Jacobs, J. (2013) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0304 · Cited by 259 · see citing works
Direct Brain Stimulation Modulates Encoding States and Memory Performance in Humans
Ezzyat, Y., Kragel, J. E., Burke, J. F., Levy, D. F., Lyalenko, A., Wanda, P. A., O’Sullivan, L., Hurley, K. B., Busygin, S., Pedisich, I., et al. (2017) · Current Biology · doi:10.1016/j.cub.2017.03.028 · Cited by 237 · see citing works
Theta Oscillations at Encoding Mediate the Context-Dependent Nature of Human Episodic Memory
Staudigl, T., & Hanslmayr, S. (2013) · Current Biology · doi:10.1016/j.cub.2013.04.074 · Cited by 225 · see citing works
Lega, B. C., Burke, J., Jacobs, J., & Kahana, M. J. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu232 · Cited by 221 · see citing works
High vs Low Frequency Neural Oscillations in Schizophrenia
Moran, L. V., & Hong, L. E. (2011) · Schizophrenia Bulletin · doi:10.1093/schbul/sbr056 · Cited by 219 · see citing works
Infants’ preferences for native speakers are associated with an expectation of information
Begus, K., Gliga, T., & Southgate, V. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1603261113 · Cited by 181 · see citing works
Cicchese, J. J., & Berry, S. D. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00001 · Cited by 172 · see citing works
Acetylcholine bidirectionally regulates learning and memory
Huang, Q., Liao, C., Ge, F., Ao, J., & Liu, T. (2022) · Journal of Neurorestoratology · doi:10.1016/j.jnrt.2022.100002 · Cited by 165 · see citing works
Tan, E., Troller‐Renfree, S. V., Morales, S., Buzzell, G. A., McSweeney, M., Antúnez, M., & Fox, N. A. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101404 · Cited by 175 · see citing works
Human intracranial high-frequency activity maps episodic memory formation in space and time
Burke, J. F., Long, N. M., Zaghloul, K. A., Sharan, A. D., Sperling, M. R., & Kahana, M. J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.067 · Cited by 146 · see citing works
Grounding language processing on basic neurophysiological principles
Friederici, A. D., & Singer, W. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.03.012 · Cited by 147 · see citing works
Frequency-specific electrophysiologic correlates of resting state fMRI networks
Hacker, C. D., Snyder, A. Z., Pahwa, M., Corbetta, M., & Leuthardt, E. C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.054 · Cited by 139 · see citing works
The rhythm of learning: Theta oscillations as an index of active learning in infancy
Begus, K., & Bonawitz, E. B. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100810 · Cited by 148 · see citing works
Movement-Related Theta Rhythm in Humans: Coordinating Self-Directed Hippocampal Learning
Kaplan, R., Doeller, C. F., Barnes, G. R., Vladimir Litvak, A., Düzel, E., Bandettini, P. A., & Burgess, N. (2012) · PLoS Biology · doi:10.1371/journal.pbio.1001267 · Cited by 141 · see citing works
Neuronal oscillations: unavoidable and useful?
Singer, W. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13796 · Cited by 142 · see citing works
Stiso, J., Khambhati, A. N., Menara, T., Kahn, A. E., Stein, J. M., Das, S. R., Gorniak, R., Tracy, J. I., Litt, B., Davis, K. A., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2019.08.008 · Cited by 133 · see citing works
Medial prefrontal theta phase coupling during spatial memory retrieval
Kaplan, R., Bush, D., Bonnefond, M., Bandettini, P. A., Barnes, G. R., Doeller, C. F., & Burgess, N. (2014) · Hippocampus · doi:10.1002/hipo.22255 · Cited by 138 · see citing works
Nir, R., Sinai, A., Moont, R., Harari, E., & Yarnitsky, D. (2011) · Clinical Neurophysiology · doi:10.1016/j.clinph.2011.08.006 · Cited by 135 · see citing works
Decreases in theta and increases in high frequency activity underlie associative memory encoding
Greenberg, J. A., Burke, J. F., Haque, R. U., Kahana, M. J., & Zaghloul, K. A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.03.077 · Cited by 123 · see citing works
Duncan, K. D., Tompary, A., & Davachi, L. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0521-14.2014 · Cited by 116 · see citing works
Staresina, B. P., Michelmann, S., Bonnefond, M., Jensen, O. B., Axmacher, N., & Fell, J. (2016) · eLife · doi:10.7554/elife.17397 · Cited by 122 · see citing works
Self-citationHuman hippocampal theta power indicates movement onset and distance travelled
Bush, D., Bisby, J. A., Bird, C. M., Gollwitzer, S., Rodionov, R., Diehl, B., McEvoy, A. W., Walker, M. C., & Burgess, N. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1708716114 · Cited by 112 · see citing works
Avraham, G., Morehead, J. R., Kim, H. E., & Ivry, R. B. (2021) · PLoS Biology · doi:10.1371/journal.pbio.3001147 · Cited by 101 · see citing works
Expected reward modulates encoding-related theta activity before an event
Gruber, M. J., Watrous, A. J., Ekstrom, A. D., Ranganath, C., & Otten, L. J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.07.064 · Cited by 108 · see citing works
Hermiller, M. S., Chen, Y. F., Parrish, T. B., & Voss, J. L. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0486-20.2020 · Cited by 102 · see citing works
Brain oscillations, hypnosis, and hypnotizability
Jensen, M. P., Adachi, T., & Hakimian, S. (2015) · American Journal of Clinical Hypnosis · doi:10.1080/00029157.2014.976786 · Cited by 98 · see citing works
Functional networks of the brain: from connectivity restoration to dynamic integration
Hramov, A. E., Frolov, N. S., Maksimenko, V. A., Kurkin, S., Kazantsev, V., & Pisarchik, A. N. (2020) · Physics-Uspekhi · doi:10.3367/ufne.2020.06.038807 · Cited by 96 · see citing works
Rhythmic Working Memory Activation in the Human Hippocampus
Leszczyński, M., Fell, J., & Axmacher, N. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.09.081 · Cited by 95 · see citing works
Self-citationPeri-encoding predictors of memory encoding and consolidation
Cohen, N., Pell, L., Edelson, M. G., Ben-Yakov, A., Pine, A., & Dudai, Y. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.11.002 · Cited by 93 · see citing works
Intracranial recordings and human memory
Johnson, E. L., & Knight, R. T. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.07.021 · Cited by 85 · see citing works
Fellner, M.-C., Bäuml, K. T., & Hanslmayr, S. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.121 · Cited by 81 · see citing works
Neural Oscillations: Understanding a Neural Code of Pain
Kim, J. A., & Davis, K. D. (2020) · The Neuroscientist · doi:10.1177/1073858420958629 · Cited by 83 · see citing works
Using single-trial EEG to predict and analyze subsequent memory
Noh, E., Herzmann, G., Curran, T., & de Sa, V. R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.028 · Cited by 81 · see citing works
Ryan, J. D., Shen, K., & Liu, Z. (2019) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14256 · Cited by 79 · see citing works
Johnson, E. L., Kam, J. W. Y., Tzovara, A., & Knight, R. T. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/abb7a5 · Cited by 78 · see citing works
Differential effects of ongoing EEG beta and theta power on memory formation
Scholz, S., Schneider, S. L., & Rose, M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0171913 · Cited by 78 · see citing works
Septohippocampal Neuromodulation Improves Cognition after Traumatic Brain Injury
Lee, D. J., Gurkoff, G. G., Izadi, A., Seidl, S. E., Echeverri, A., Melnik, M., Berman, R. F., Ekstrom, A. D., Muizelaar, J. P., Lyeth, B. G., et al. (2015) · Journal of Neurotrauma · doi:10.1089/neu.2014.3744 · Cited by 75 · see citing works
The role of cortical beta oscillations in time estimation
Kulashekhar, S., Pekkola, J., Palva, J. M., & Palva, S. (2016) · Human Brain Mapping · doi:10.1002/hbm.23239 · Cited by 72 · see citing works
The Sync/deSync Model: How a Synchronized Hippocampus and a Desynchronized Neocortex Code Memories
Parish, G., Hanslmayr, S., & Bowman, H. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2561-17.2018 · Cited by 72 · see citing works
Rapid Improvement in Visual Selective Attention Related to Action Video Gaming Experience
Qiu, N., Ma, W., Fan, X., Zhang, Y., Li, Y., Yan, Y., Zhou, Z., Li, F., Gong, D., & Yao, D. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00047 · Cited by 72 · see citing works
Oscillatory EEG dynamics underlying automatic chunking during sentence processing
Bonhage, C., Meyer, L., Gruber, T., Friederici, A. D., & Mueller, J. L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.018 · Cited by 72 · see citing works
Infant EEG theta modulation predicts childhood intelligence
Jones, E. J. H., Goodwin, A., Orekhova, E. V., Charman, T., Dawson, G., Webb, S. J., & Johnson, M. H. (2020) · Scientific Reports · doi:10.1038/s41598-020-67687-y · Cited by 68 · see citing works
Begus, K., & Southgate, V. (2018) · Springer eBooks · doi:10.1007/978-3-319-77182-3_2 · Cited by 68 · see citing works
Brain oscillations track the formation of episodic memories in the real world
Griffiths, B. J., Mazaheri, A., Debener, S., & Hanslmayr, S. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.09.021 · Cited by 68 · see citing works
Sheehan, T. C., Sreekumar, V., Inati, S. K., & Zaghloul, K. A. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2389-17.2017 · Cited by 64 · see citing works
Gorgoni, M., D’Atri, A., Scarpelli, S., Reda, F., & Gennaro, L. D. (2019) · Sleep Medicine · doi:10.1016/j.sleep.2019.06.025 · Cited by 67 · see citing works
The role of the anterior nuclei of the thalamus in human memory processing
Sweeney‐Reed, C. M., Buentjen, L., Voges, J., Schmitt, F. C., Zaehle, T., Kam, J. W. Y., Kaufmann, J., Heinze, H., Hinrichs, H., Knight, R. T., et al. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.02.046 · Cited by 66 · see citing works
Developmental change in EEG theta activity in the medial prefrontal cortex during response control
Liu, Z., Woltering, S., & Lewis, M. D. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.054 · Cited by 67 · see citing works
Functional connectivity and oscillatory neuronal activity in the resting human brain
Ganzetti, M., & Mantini, D. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2013.02.032 · Cited by 57 · see citing works
Theta rhythmicity governs human behavior and hippocampal signals during memory-dependent tasks
Wal, M. T., Domingo, J. L., Lifanov, J., Roux, F., Kolibius, L. D., Gollwitzer, S., Lang, J., Hamer, H. M., Rollings, D. T., Sawlani, V., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-27323-3 · Cited by 55 · see citing works
Self-citationPre-stimulus thalamic theta power predicts human memory formation
Sweeney‐Reed, C. M., Zaehle, T., Voges, J., Schmitt, F. C., Buentjen, L., Kopitzki, K., Richardson‐Klavehn, A., Hinrichs, H., Heinze, H., Knight, R. T., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.042 · Cited by 55 · see citing works
Canolty, R. T., Ganguly, K., & Carmena, J. M. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002809 · Cited by 51 · see citing works
Aktürk, T., de Graaf, T. A., Güntekin, B., Hanoğlu, L., & Sack, A. T. (2022) · Scientific Reports · doi:10.1038/s41598-022-18665-z · Cited by 54 · see citing works
Blocking of irrelevant memories by posterior alpha activity boosts memory encoding
Park, H., Lee, D. S., Kang, E., Kang, H., Hahm, J., Kim, J. S., Chung, C. K., & Jensen, O. B. (2014) · Human Brain Mapping · doi:10.1002/hbm.22452 · Cited by 54 · see citing works
Fornical Closed-Loop Stimulation for Alzheimer’s Disease
Senova, S., Chaillet, A., & Lozano, A. M. (2018) · Trends in Neurosciences · doi:10.1016/j.tins.2018.03.015 · Cited by 53 · see citing works
Cortical theta wanes for language
Hermes, D., Miller, K. J., Vansteensel, M. J., Edwards, E., Ferrier, C. H., Bleichner, M. G., van Rijen, P. C., Aarnoutse, E. J., & Ramsey, N. F. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.029 · Cited by 47 · see citing works
Brain computer interface to enhance episodic memory in human participants
Burke, J. F., Merkow, M. B., Jacobs, J., Kahana, M. J., & Zaghloul, K. A. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.01055 · Cited by 51 · see citing works
Prestimulus theta in the human hippocampus predicts subsequent recognition but not recall
Merkow, M. B., Burke, J. F., Stein, J. M., & Kahana, M. J. (2014) · Hippocampus · doi:10.1002/hipo.22335 · Cited by 50 · see citing works
Nokia, M. S., Sisti, H. M., Choksi, M. R., & Shors, T. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031375 · Cited by 49 · see citing works
Crespo‐García, M., Zeiller, M., Leupold, C., Kreiselmeyer, G., Rampp, S., Hamer, H. M., & Dalal, S. S. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.021 · Cited by 49 · see citing works
Zhang, H., Morrone, M. C., & Alais, D. (2019) · Scientific Reports · doi:10.1038/s41598-018-37918-4 · Cited by 45 · see citing works
Ripples reflect a spectrum of synchronous spiking activity in human anterior temporal lobe
Tong, A. P. S., Vaz, A. P., Wittig, J. H., Inati, S. K., & Zaghloul, K. A. (2021) · eLife · doi:10.7554/elife.68401 · Cited by 41 · see citing works
The predictive role of pre-cue EEG rhythms on MI-based BCI classification performance
Bamdadian, A., Guan, C., Ang, K. K., & Xu, J. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.06.011 · Cited by 48 · see citing works
Bunce, J. G., Zikopoulos, B., Feinberg, M. D., & Barbas, H. (2013) · The Journal of Comparative Neurology · doi:10.1002/cne.23413 · Cited by 46 · see citing works
Sweeney‐Reed, C. M., Zaehle, T., Voges, J., Schmitt, F. C., Buentjen, L., Kopitzki, K., Hinrichs, H., Heinze, H., Rugg, M. D., Knight, R. T., et al. (2015) · eLife · doi:10.7554/elife.07578 · Cited by 48 · see citing works
What Turns Assistive into Restorative Brain-Machine Interfaces?
Gharabaghi, A. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00456 · Cited by 47 · see citing works
The anterior and centromedian thalamus: Anatomy, function, and dysfunction in epilepsy
Warsi, N. M., Yan, H., Suresh, H., Wong, S. M., Arski, O. N., Gorodetsky, C., Zhang, K., Gouveia, F. V., & Ibrahim, G. M. (2022) · Epilepsy Research · doi:10.1016/j.eplepsyres.2022.106913 · Cited by 45 · see citing works
Hippocampal Theta and Episodic Memory
Rudoler, J. H., Herweg, N. A., & Kahana, M. J. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1045-22.2022 · Cited by 45 · see citing works
Hippocampal theta activity during encoding promotes subsequent associative memory in humans
Joensen, B. H., Bush, D., Vivekananda, U., Horner, A. J., Bisby, J. A., Diehl, B., Miserocchi, A., McEvoy, A. W., Walker, M. C., & Burgess, N. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad162 · Cited by 43 · see citing works
The EEG as an index of neuromodulator balance in memory and mental illness
Vakalopoulos, C. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00063 · Cited by 45 · see citing works
Remembered or Forgotten?—An EEG-Based Computational Prediction Approach
Sun, X., Qian, C., Chen, Z., Wu, Z., Luo, B., & Pan, G. (2016) · PLoS ONE · doi:10.1371/journal.pone.0167497 · Cited by 45 · see citing works
Phase separation of competing memories along the human hippocampal theta rhythm
Kerrén, C., van Bree, S., Griffiths, B. J., & Wimber, M. (2022) · eLife · doi:10.7554/elife.80633 · Cited by 41 · see citing works
Fleischmann, R., Tränkner, S., Kraft, A., Schmidt, S. H., Schreiber, S. J., & Brandt, S. A. (2019) · Pilot and Feasibility Studies · doi:10.1186/s40814-018-0388-z · Cited by 42 · see citing works
Bidirectional propagation of low frequency oscillations over the human hippocampal surface
Kleen, J. K., Chung, J. E., Sellers, K. K., Zhou, J. J., Triplett, M., Lee, K., Tooker, A., Haque, R., & Chang, E. F. (2021) · Nature Communications · doi:10.1038/s41467-021-22850-5 · Cited by 38 · see citing works
Changing temporal context in human temporal lobe promotes memory of distinct episodes
El-Kalliny, M. M., Wittig, J. H., Sheehan, T. C., Sreekumar, V., Inati, S. K., & Zaghloul, K. A. (2019) · Nature Communications · doi:10.1038/s41467-018-08189-4 · Cited by 38 · see citing works
Elfman, K. W., Aly, M., & Yonelinas, A. (2014) · Hippocampus · doi:10.1002/hipo.22345 · Cited by 36 · see citing works
Bauer, R. H., Fels, M., Royter, V., Raco, V., & Gharabaghi, A. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2016.06.020 · Cited by 37 · see citing works
Does the Cerebral Cortex Exploit High-Dimensional, Non-linear Dynamics for Information Processing?
Singer, W., & Lazăr, A. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00099 · Cited by 36 · see citing works
Bagnato, S., Boccagni, C., Prestandrea, C., Fingelkurts, A. A., Fingelkurts, A. A., & Galardi, G. (2016) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2016.09.132 · Cited by 36 · see citing works
Hawco, C. S., Armony, J. L., Daskalakis, Z. J., Berlim, M. T., Chakravarty, M. M., Pike, G. B., & Lepage, M. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00404 · Cited by 33 · see citing works
Salari, N., & Rose, M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.037 · Cited by 37 · see citing works
Cross‐regional phase amplitude coupling supports the encoding of episodic memories
Wang, D. X., Schmitt, K., Seger, S. E., Davila, C. E., & Lega, B. C. (2021) · Hippocampus · doi:10.1002/hipo.23309 · Cited by 30 · see citing works
Driving working memory with frequency‐tuned noninvasive brain stimulation
Albouy, P., Baillet, S., & Zatorre, R. J. (2018) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13664 · Cited by 32 · see citing works
Labruna, L., Stark‐Inbar, A., Breska, A., Dabit, M., Vanderschelden, B., Nitsche, M. A., & Ivry, R. B. (2019) · Brain stimulation · doi:10.1016/j.brs.2019.03.008 · Cited by 32 · see citing works
Intention to encode boosts memory-related pre-stimulus EEG beta power
Schneider, S. L., & Rose, M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.024 · Cited by 32 · see citing works
Cortical Low-Frequency Power and Progressive Phase Synchrony Precede Successful Memory Encoding
Haque, R. U., Wittig, J. H., Damera, S. R., Inati, S. K., & Zaghloul, K. A. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0687-15.2015 · Cited by 29 · see citing works
Targeted memory reactivation in human REM sleep elicits detectable reactivation
Abdellahi, M. E. A., Koopman, A. C. M., Treder, M. S., & Lewis, P. A. (2023) · eLife · doi:10.7554/elife.84324 · Cited by 29 · see citing works
Borderie, A., Caclin, A., Lachaux, J.-P., Perrone‐Bertolotti, M., Hoyer, R. S., Kahane, P., Catenoix, H., Tillmann, B., & Albouy, P. (2024) · PLoS Biology · doi:10.1371/journal.pbio.3002512 · Cited by 27 · see citing works
Strunk, J., & Duarte, A. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.01.005 · Cited by 25 · see citing works
Direct electrical brain stimulation of human memory: lessons learnt and future perspectives
Kucewicz, M. T., Worrell, G. A., & Axmacher, N. (2022) · Brain · doi:10.1093/brain/awac435 · Cited by 26 · see citing works
Self-citationHypothesis-driven methods to augment human cognition by optimizing cortical oscillations
Horschig, J. M., Zumer, J. M., & Bahramisharif, A. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00119 · Cited by 24 · see citing works
- Authors
- Fell, J., Ludowig, E., Staresina, B. P., Wagner, T., Kranz, T., Elger, C. E., & Axmacher, N.
- Affiliations
- University of Bonn (DE)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2011-04-06
- Volume
- 31
- Issue
- 14
- Pages
- 5392-5397
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6622710
- OpenAlex
- W2025180344
- Cited by
- 203
- References
- 44
- Citations by year
- 2026: 5 · 2025: 11 · 2024: 9 · 2023: 13 · 2022: 18 · 2021: 19 · 2020: 16 · 2019: 9 · 2018: 17 · 2017: 13 · 2016: 14 · 2015: 11 · 2014: 17 · 2013: 18 · 2012: 9
- FWCI
- 7.64
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Deutsche Forschungsgemeinschaft
- Volkswagen Foundation (I/79878)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- memory encoding, medial temporal lobe, hippocampus, rhinal cortex, theta power, alpha power, subsequent memory effect, word recognition, top-down control, contextual information, epilepsy patients, intracranial EEG
- MeSH terms
- Adolescent, Adult, Alpha Rhythm, Brain Mapping, Child, Child, Preschool, Electroencephalography, Epilepsy, Temporal Lobe, Female, Hippocampus, Humans, Male, Middle Aged, Neuropsychological Tests, Photic Stimulation, Reaction Time, Temporal Lobe, Theta Rhythm, Vocabulary, Statistics, Nonparametric, Recognition, Psychology, Young Adult
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
