Literature DB >> 11458571

Temporal binding at gamma frequencies in the brain: paving the way to epilepsy?

A V Medvedev1.   

Abstract

Fast (beta-gamma band 20-100 Hz) rhythms of electrical activity of the brain have been suggested to play an important role in perception, cognition and consciousness providing temporal binding of neural activities and allowing the formation of mental representations. The recent advances in the concept of temporal binding and their relation to the theory of neural networks (connectionism) are reviewed here as well as some experimental results concerning the intensified gamma rhythms and epilepsy. The hippocampal-neocortical gamma rhythms are extremely intense and hypersynchronous at onset of the epileptiform discharges induced by systemic kainic acid in the rat. Those gamma rhythms are followed by a slow rhythm of epileptiform spikes/sharp waves or spike-wave complexes ('spike-wave' activity). During spike-wave activity, gamma synchronisation is significantly decreased. A novel unifying concept is proposed which relates the associative principle of neural networks to the mechanism of temporal binding at high frequencies. It suggests that for each memory stored in an associative network there is a corresponding quasi-stable state of synchronous oscillation at some frequency within the gamma band. It also suggests that excessive temporal binding ("over-binding") occurs at seizure onset when abnormally intensified and globally synchronous fast activity is often observed. "Over-binding" may cause the undesirable formation of false associations due to inadequate synaptic modifications. To prevent this process, spike-wave discharge develops as an extreme activation of the mechanism capable to desynchronise and eventually suppress fast activity and erase the spurious modes of activity associated with hypersynchronous gamma rhythms. Thus, spike-wave activity is suggested to be the "anti-binding" mechanism. This mechanism is also related to the spikes/sharp waves normally occurring in the brain mostly in sleep. It is qualitatively similar to the "unlearning" mechanism of Crick and Mitchison presumably associated with the PGO spikes of the REM sleep.

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Year:  2001        PMID: 11458571     DOI: 10.1007/BF03178284

Source DB:  PubMed          Journal:  Australas Phys Eng Sci Med        ISSN: 0158-9938            Impact factor:   1.430


  9 in total

Review 1.  Seizure prediction and its applications.

Authors:  Leon D Iasemidis
Journal:  Neurosurg Clin N Am       Date:  2011-10       Impact factor: 2.509

2.  Resetting of brain dynamics: epileptic versus psychogenic nonepileptic seizures.

Authors:  Balu Krishnan; Aaron Faith; Ioannis Vlachos; Austin Roth; Korwyn Williams; Katie Noe; Joe Drazkowski; Lisa Tapsell; Joseph Sirven; Leon Iasemidis
Journal:  Epilepsy Behav       Date:  2011-12       Impact factor: 2.937

3.  Model-based asessment of an in-vivo predictive relationship from CA1 to CA3 in the rodent hippocampus.

Authors:  Roman A Sandler; Dong Song; Robert E Hampson; Sam A Deadwyler; Theodore W Berger; Vasilis Z Marmarelis
Journal:  J Comput Neurosci       Date:  2014-09-27       Impact factor: 1.621

4.  High-Frequency Oscillations Recorded on the Scalp of Patients With Epilepsy Using Tripolar Concentric Ring Electrodes.

Authors:  Walter G Besio; Iris E Martínez-Juárez; Oleksandr Makeyev; John N Gaitanis; Andrew S Blum; Robert S Fisher; Andrei V Medvedev
Journal:  IEEE J Transl Eng Health Med       Date:  2014-06-30       Impact factor: 3.316

5.  Long-range synchrony of γ oscillations and auditory hallucination symptoms in schizophrenia.

Authors:  C Mulert; V Kirsch; Roberto Pascual-Marqui; Robert W McCarley; Kevin M Spencer
Journal:  Int J Psychophysiol       Date:  2010-08-14       Impact factor: 2.997

6.  Preferential inactivation of Scn1a in parvalbumin interneurons increases seizure susceptibility.

Authors:  Stacey B Dutton; Christopher D Makinson; Ligia A Papale; Anupama Shankar; Bindu Balakrishnan; Kazu Nakazawa; Andrew Escayg
Journal:  Neurobiol Dis       Date:  2012-08-25       Impact factor: 5.996

7.  Lack of kainic acid-induced gamma oscillations predicts subsequent CA1 excitotoxic cell death.

Authors:  Seiichiro Jinde; Juan E Belforte; Jun Yamamoto; Matthew A Wilson; Susumu Tonegawa; Kazu Nakazawa
Journal:  Eur J Neurosci       Date:  2009-09-04       Impact factor: 3.386

8.  Disrupted functional brain connectivity in partial epilepsy: a resting-state fMRI study.

Authors:  Cheng Luo; Chuan Qiu; Zhiwei Guo; Jiajia Fang; Qifu Li; Xu Lei; Yang Xia; Yongxiu Lai; Qiyong Gong; Dong Zhou; Dezhong Yao
Journal:  PLoS One       Date:  2012-01-05       Impact factor: 3.240

Review 9.  Is There a Relation between EEG-Slow Waves and Memory Dysfunction in Epilepsy? A Critical Appraisal.

Authors:  Yvonne Höller; Eugen Trinka
Journal:  Front Hum Neurosci       Date:  2015-06-11       Impact factor: 3.169

  9 in total

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