The DOI matches its Crossref record; 141 of the 154 references it cites were found in a registry or an index.
Memory processes, brain oscillations and EEG synchronization
Abstract
This article tries to integrate results in memory research from divergent disciplines such as cognitive psychology, neuroanatomy, and neurophysiology. The integrating link is seen in more recent findings that provide strong arguments for the assumption that oscillations are a basic form of communication between cortical cell assemblies. It is assumed that synchronous oscillations of large cell assemblies--termed type 1 synchronization--reflect a resting state or possibly even a state of functional inhibition. On the other hand, during mental activity, when different neuronal networks may start to oscillate with different frequencies, each network may still oscillate synchronously (this is termed type 2 synchronization), but as a consequence, the large scale type 1 oscillation disappears. It is argued that these different types of synchronization can be observed in the scalp EEG by calculating event-related power changes within comparatively narrow but individually adjusted frequency bands. Experimental findings are discussed which support the hypothesis that short-term (episodic) memory demands lead to a synchronization (increase in band power) in the theta band, whereas long-term (semantic) memory demands lead to a task-specific desynchronization (decrease or suppression of power) in the upper alpha band. Based on these and other findings, a new memory model is proposed that is described on three levels: cognitive, anatomical and neurophysiological. It is suggested that short-term (episodic) memory processes are reflected by oscillations in an anterior limbic system, whereas long-term (semantic) memory processes are reflected by oscillations in a posterior-thalamic system. Oscillations in these frequency bands possibly provide the basis for encoding, accessing, and retrieving cortical codes that are stored in the form of widely distributed but intensely interconnected cell assemblies.
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“the theta rhythm is directly connected with some areas engaged in memory processing and, in particular, it represents an EEG marker of hippocampal activity”
From The Functional Role of Dreaming in Emotional Processes (2019) · cites this paper as Klimesch, 1996
In the citing paper
“Theta rhythm may be considered as the local field potential (LFP) that represents an electrophysiological marker of hippocampal activity (Rutishauser et al., 2010), both during awake behavior and REM sleep (Klimesch, 1996; Cantero et al., 2003).”
From EEG oscillations during sleep and dream recall: state- or trait-like individual differences? (2015) · cites this paper as Klimesch, 1996
Citations
Cites
Hebb, D. O. (2005) · doi:10.4324/9781410612403 · Cited by 9,825
LOSS OF RECENT MEMORY AFTER BILATERAL HIPPOCAMPAL LESIONS
Scoville, W. B., & Milner, B. (1957) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.20.1.11 · Cited by 7,322
indicated, N. A. (1950) · Journal of Consulting Psychology · doi:10.1037/h0049612 · Cited by 6,984
The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat
O'Keefe, J., & Dostrovsky, J. (1971) · Brain Research · doi:10.1016/0006-8993(71)90358-1 · Cited by 6,151
Controlled and automatic human information processing: I. Detection, search, and attention.
Schneider, W., & Shiffrin, R. M. (1977) · Psychological Review · doi:10.1037/0033-295x.84.1.1 · Cited by 5,902
Memory and the hippocampus: A synthesis from findings with rats, monkeys, and humans.
Squire, L. R. (1992) · Psychological Review · doi:10.1037/0033-295x.99.2.195 · Cited by 5,376
Baddeley, A. (1992) · Science · doi:10.1126/science.1736359 · Cited by 5,258
Über das Elektrenkephalogramm des Menschen
Berger, H. (1929) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/bf01797193 · Cited by 4,266
Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989) · Nature · doi:10.1038/338334a0 · Cited by 4,183
Handbook of perception and human performance
Boff, K. R., Kaufman, L., & Thomas, J. P. (1986) · Wiley eBooks · Cited by 4,033
Research works printed but not linked: 4
- Gray, 1987, Stimulus-dependent neuronal oscillations in the cat visual cortex area 17, Neuroscience (Suppl.), 22, 434
- Klimesch, 1988, Die Suchzeit für episodische und semantische Information, Sprache Kogn., 7, 129
- Klimesch, 1990, Alpha frequency and memory performance, J. Psychophysiol., 4, 381
- Pulvermueller, 1994, Brain rhythms, cell assemblies and cognition: Evidence from the processing of words and pseudowords, Psycoloquy.94.5.48. brain-rhythms, 1.pulvermueller
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Mo, J., Liu, Y., Huang, H., & Ding, M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.058 · Cited by 163
Fuggetta, G., Fiaschi, A., & Manganotti, P. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.05.013 · Cited by 154
Klimesch, W., Russegger, H., Doppelmayr, M. M., & Pachinger, T. (1998) · Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section · doi:10.1016/s0168-5597(97)00078-6 · Cited by 154
Self-citationBifurcation analysis of neural mass models: Impact of extrinsic inputs and dendritic time constants
Spiegler, A., Kiebel, S. J., Atay, F. M., & Knösche, T. R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.081 · Cited by 150
Ismail, L. E., & Karwowski, W. (2020) · IEEE Access · doi:10.1109/access.2020.3018995 · Cited by 159
Nikulin, V. V., & Brismar, T. (2004) · Neuroscience · doi:10.1016/j.neuroscience.2004.10.007 · Cited by 150
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Magosso, E., Crescenzio, F. D., Ricci, G., Piastra, S., & Ursino, M. (2019) · Computational Intelligence and Neuroscience · doi:10.1155/2019/7051079 · Cited by 161
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Smit, C. M., Wright, M. J., Hansell, N. K., Geffen, G. M., & Martin, N. G. (2005) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2005.10.004 · Cited by 145
Babiloni, C., Percio, C. D., Vecchio, F., Sebastiano, F., Gennaro, G. D., Quarato, P. P., Morace, R., Pavone, L., Soricelli, A., Noce, G., et al. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.04.068 · Cited by 150
Kretzschmar, F., Pleimling, D., Hosemann, J., Füssel, S., Bornkessel‐Schlesewsky, I., & Schlesewsky, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056178 · Cited by 142
Roberts, J. E., & Bell, M. A. (2003) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(03)00195-8 · Cited by 142
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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 151
Kirk, I. J., & MACKAY, J. (2003) · Cortex · doi:10.1016/s0010-9452(08)70874-8 · Cited by 144
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Werkle‐Bergner, M., Müller, V., Li, S., & Lindenberger, U. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.009 · Cited by 147
Santarnecchi, E., Müller, T., Rossi, S., Sarkar, A., Polizzotto, N. R., Rossi, A., & Kadosh, R. C. (2015) · Cortex · doi:10.1016/j.cortex.2015.11.003 · Cited by 144
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Babiloni, C., Ferri, R., Binetti, G. G., Vecchio, F., Frisoni, G. B., Lanuzza, B., Miniussi, C., Nobili, F. M., Rodriguez, G., Rundo, F., et al. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.05.007 · Cited by 138
Nir, R., Sinai, A., Raz, E., Sprecher, E., & Yarnitsky, D. (2010) · Brain Research · doi:10.1016/j.brainres.2010.05.004 · Cited by 152
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BASTIAANSEN, M. C. M., Posthuma, D., Groot, P. F. C., & de Geus, E. J. C. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00303-6 · Cited by 136
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Chu, C. J., Tanaka, N., Diaz, J., Edlow, B. L., Wu, O., Hämäläinen, M., Stufflebeam, S., Cash, S. S., & Kramer, M. A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.033 · Cited by 135
Nir, R., Sinai, A., Moont, R., Harari, E., & Yarnitsky, D. (2011) · Clinical Neurophysiology · doi:10.1016/j.clinph.2011.08.006 · Cited by 139
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Pape, H., Narayanan, R. T., Smid, J., Stork, O., & Seidenbecher, T. (2005) · Hippocampus · doi:10.1002/hipo.20120 · Cited by 133
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Babiloni, C., Miniussi, C., Babiloni, F., Carducci, F., Cincotti, F., Percio, C. D., Sirello, G., Fracassi, C., Nobre, A. C., & Rossini, P. M. (2004) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2003.12.010 · Cited by 134
Hoy, K. E., Bailey, N., Michael, M., Fitzgibbon, B., Rogasch, N. C., Saeki, T., & Fitzgerald, P. B. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv193 · Cited by 129
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Jann, K., Koenig, T. W., Dierks, T., Boesch, C., & Federspiel, A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.024 · Cited by 135
Orekhova, E. (1999) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(99)00011-2 · Cited by 127
Cahn, B. R., Arnaud Delorme, A., & Polich, J. M. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss060 · Cited by 142
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ROWE, D. L., Robinson, P. A., & RENNIE, C. J. (2004) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2004.07.004 · Cited by 126
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Krause, L. S. C. M. (2000) · International Journal of Radiation Biology · doi:10.1080/09553000050201154 · Cited by 123
Bajo, R., Maestú, F., Nevado, Á., Sancho, M., Gutiérrez, R., Campo, P., Castellanos, N. P., Gil, P., Moratti, S., Pereda, E., et al. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-100177 · Cited by 129
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Self-citationPhase synchronization between alpha and beta oscillations in the human electroencephalogram
Nikulin, V. V., & Brismar, T. (2005) · Neuroscience · doi:10.1016/j.neuroscience.2005.10.031 · Cited by 117
Kamarajan, C., Porjesz, B., Jones, K. A., Chorlian, D. B., Padmanabhapillai, A., Rangaswamy, M., Stimus, A. T., & Begleiter, H. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.08.017 · Cited by 120
Vecchio, F., Miraglia, F., Piludu, F., Granata, G., Romanello, R., Caulo, M., Onofrj, V., Bramanti, P., Colosimo, C., & Rossini, P. M. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9528-3 · Cited by 122
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Gruzelier, J. H., & Egner, T. (2005) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2004.07.002 · Cited by 120
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Slotnick, S. D., Moo, L. R., Kraut, M. A., Lesser, R. P., & Hart, J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.092514899 · Cited by 113
Xie, J., Xu, G., Wang, J., Li, M., Han, C., & Jia, Y. (2016) · PLoS ONE · doi:10.1371/journal.pone.0163426 · Cited by 112
Narayanan, R. T., Seidenbecher, T., Kluge, C., Bergado, J. A., Stork, O., & Pape, H. (2007) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2007.05437.x · Cited by 118
Pesonen, M., Haarala, C., Hämäläinen, H., & Krause, C. M. (2006) · Neuroscience Letters · doi:10.1016/j.neulet.2006.01.053 · Cited by 111
Percio, C. D., Infarinato, F., Iacoboni, M., Marzano, N., Soricelli, A., Aschieri, P., Eusebi, F., & Babiloni, C. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2009.12.004 · Cited by 114
Vecchio, F., Miraglia, F., Bramanti, P., & Rossini, P. M. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-140090 · Cited by 112
Babiloni, C., Percio, C. D., Lizio, R., Noce, G., Cordone, S., Lopez, S., Soricelli, A., Ferri, R., Pascarelli, M. T., Nobili, F. M., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.03.030 · Cited by 117
Gruber, T., & Müller, M. M. (2002) · Cognitive Brain Research · doi:10.1016/s0926-6410(01)00130-6 · Cited by 110
BASTIAANSEN, M. C. M., Böcker, K. B. E., BRUNIA, C. H. M., de Munck, J. C., & Spekreijse, H. (2001) · Clinical Neurophysiology · doi:10.1016/s1388-2457(00)00537-x · Cited by 109
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Hsiao, F., Wu, Z., Ho, L., & Lin, Y. (2009) · Biological Psychology · doi:10.1016/j.biopsycho.2009.01.007 · Cited by 108
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Babaeeghazvini, P., Rueda‐Delgado, L. M., Gooijers, J., Swinnen, S. P., & Daffertshofer, A. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.721206 · Cited by 125
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Babiloni, C., Cassetta, E., Binetti, G. G., Tombini, M., Percio, C. D., Ferreri, F., Ferri, R., Frisoni, G. B., Lanuzza, B., Nobili, F. M., et al. (2007) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2007.05601.x · Cited by 105
Cheron, G. A., Leroy, A., Saedeleer, C. D., Bengoetxea, A., Липшиц, М. И., Cebolla, A. M., Servais, L., Dan, B., Berthoz, A., & McIntyre, J. (2006) · Brain Research · doi:10.1016/j.brainres.2006.08.098 · Cited by 106
Narayanan, V., Heiming, R. S., Jansen, F., Lesting, J., Sachser, N., Pape, H.-C., & Seidenbecher, T. (2011) · PLoS ONE · doi:10.1371/journal.pone.0022600 · Cited by 103
Babiloni, C., Brancucci, A., Babiloni, F., Capotosto, P., Carducci, F., Cincotti, F., Arendt‐Nielsen, L., Chen, A. C. N., & Rossini, P. M. (2003) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2003.02851.x · Cited by 103
Hsiao, F., Wang, Y.-J., Yan, S., Chen, W., & Lin, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068792 · Cited by 105
Lehrer, P. M., & Eddie, D. (2013) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-013-9217-6 · Cited by 106
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Vogt, F., Klimesch, W., & Doppelmayr, M. M. (1998) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199803000-00011 · Cited by 99
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Vanneste, S., Plazier, M., van der Loo, E., de Heyning, P. V., & Ridder, D. D. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.07.022 · Cited by 99
Babiloni, C., Lizio, R., Percio, C. D., Marzano, N., Soricelli, A., Salvatore, E., Ferri, R., Cosentino, F., Tedeschi, G., Montella, P., et al. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-121750 · Cited by 102
Fingelkurts, A. A., Fingelkurts, A. A., Bagnato, S., Boccagni, C., & Galardi, G. (2011) · Consciousness and Cognition · doi:10.1016/j.concog.2011.10.004 · Cited by 95
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Stam, C. J. (2000) · Neuroscience Letters · doi:10.1016/s0304-3940(00)01109-5 · Cited by 95
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Knyazev, G. G., Bocharov, A. V., Levin, E. A., Savostyanov, A. N., & Slobodskoj‐Plusnin, J. Y. (2008) · Brain Research · doi:10.1016/j.brainres.2008.06.108 · Cited by 95
Harvey, B. M., Vansteensel, M. J., Ferrier, C. H., Petridou, N., Zuiderbaan, W., Aarnoutse, E. J., Bleichner, M. G., Dijkerman, H. C., van Zandvoort, M. J. E., Leijten, F. S. S., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.020 · Cited by 98
Babiloni, C., Benussi, L., Binetti, G. G., Cassetta, E., Forno, G. D., Percio, C. D., Ferreri, F., Ferri, R., Frisoni, G. B., Ghidoni, R., et al. (2005) · Annals of Neurology · doi:10.1002/ana.20724 · Cited by 96
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Otero, G. A., Pliego-Rivero, F. B., Fernández, T., & Ricardo, J. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(03)00173-1 · Cited by 91
Saunders, N., Downham, R., Turman, B., Kropotov, J. D., Clark, C. R., Yumash, R., & Szatmary, A. (2014) · Neurocase · doi:10.1080/13554794.2014.890727 · Cited by 98
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Mueller, E. M., Panitz, C., Hermann, C., & Pizzagalli, D. A. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3427-13.2014 · Cited by 89
Jaušovec, N., & Jaušovec, K. (2005) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2004.12.005 · Cited by 89
Babiloni, C., Percio, C. D., Lizio, R., Noce, G., Lopez, S., Soricelli, A., Ferri, R., Nobili, F. M., Arnaldi, D., Famà, F., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.12.023 · Cited by 90
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Metadata
- Authors
- Klimesch, W.
- Affiliations
- University of Salzburg (AT)
- Corresponding author
- Klimesch, Wolfgang
- ORCID
- Klimesch, Wolfgang
- Venue
- International Journal of Psychophysiology
- Publisher
- Elsevier BV
- Published
- 1996-11
- Volume
- 24
- Issue
- 1-2
- Pages
- 61-100
- ISSN
- 0167-8760 (ISSN-L)
- OpenAlex
- W2051134452
- Cited by
- 923
- References
- 154
- Citations by year
- 2026: 15 · 2025: 24 · 2024: 18 · 2023: 33 · 2022: 37 · 2021: 41 · 2020: 50 · 2019: 36 · 2018: 27 · 2017: 56 · 2016: 37 · 2015: 38 · 2014: 48 · 2013: 27 · 2012: 44
- FWCI
- 9.89
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Psychophysiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- memory processes, neural oscillations, EEG synchronization, episodic memory, semantic memory, theta band, alpha band, resting state, functional inhibition, memory models, memory encoding and retrieval
- MeSH terms
- Alpha Rhythm, Attention, Brain, Cerebral Cortex, Cortical Synchronization, Electroencephalography, Evoked Potentials, Hippocampus, Humans, Memory, Models, Neurological, Psychomotor Performance, Semantics, Thalamus, Theta Rhythm, Visual Perception
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