Coupling of mesoscopic brain oscillations: Recent advances in analytical and theoretical perspectives

Young, Calvin K.; Eggermont, Jos J.

doi:10.1016/j.pneurobio.2009.06.002

Cited by 65 publications

(54 citation statements)

References 296 publications

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“…Although the QA model employed here is an acute model of seizure, in contrast to the KA model of mTLE, these similarities suggest that a reduction in theta and an increase in gamma could be a hallmark of an epileptic brain. It should also be noted that these similarities were found at different levels of analysis: while we looked at a more macroscopic electrophysiological scale, Dugladze et al (2007) examined hippocampal local field potentials (LFPs), that is, a more mesoscopic scale (Young and Eggermont, 2009). Moreover, this same work also reported similar spectral disruptions at the in vitro cellular level when examining the firing patterns of hippocampal interneurons .…”

Section: Discussionmentioning

confidence: 77%

Electrophysiological effects of guanosine and MK-801 in a quinolinic acid-induced seizure model

Torres

Filho

Antunes

et al. 2010

Experimental Neurology

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Quinolinic acid (QA) is an N-methyl-D-aspartate receptor agonist that also promotes glutamate release and inhibits glutamate uptake by astrocytes. QA is used in experimental models of seizures studying the effects of overstimulation of the glutamatergic system. The guanine-based purines (GBPs), including the nucleoside guanosine, have been shown to modulate the glutamatergic system when administered extracellularly. GBPs were shown to inhibit the binding of glutamate and analogs, to be neuroprotective under excitotoxic conditions, as well as anticonvulsant against seizures induced by glutamatergic agents, including QA-induced seizure. In this work, we studied the electrophysiological effects of guanosine against QA-induced epileptiform activity in rats at the macroscopic cortical level, as inferred by electroencephalogram (EEG) signals recorded at the epidural surface. We found that QA disrupts a prominent basal theta (4-10 Hz) activity during peri-ictal periods and also promotes a relative increase in gamma (20-50 Hz) oscillations. Guanosine, when successfully preventing seizures, counteracted both these spectral changes. MK-801, an NMDA-antagonist used as positive control, was also able counteract the decrease in theta power; however, we observed an increase in the power of gamma oscillations in rats concurrently treated with MK-801 and QA. Given the distinct spectral signatures, these results suggest that guanosine and MK-801 prevent QAinduced seizures by different network mechanisms.

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Section: Discussionmentioning

confidence: 77%

Electrophysiological effects of guanosine and MK-801 in a quinolinic acid-induced seizure model

Torres

Filho

Antunes

et al. 2010

Experimental Neurology

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“…First, the denoised LFP signal was filtered in physiologically-relevant narrow bands (delta 2-4 Hz, theta 5-11 Hz, alpha 10-16 Hz and low gamma 26-34 Hz). Second, the phase and amplitude information were extracted by the Hilbert integral transform [38]. In order to do that, a strong analytic signal was constructed from the narrowband-filtered data before applying the Hilbert transform.…”

Section: In Vivo Measurementmentioning

confidence: 99%

A Multichannel Integrated Circuit for Electrical Recording of Neural Activity, With Independent Channel Programmability

López

Prodanov

Braeken

et al. 2012

IEEE Trans. Biomed. Circuits Syst.

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Abstract-Since a few decades, micro-fabricated neural probes are being used, together with microelectronic interfaces, to get more insight in the activity of neuronal networks. The need for higher temporal and spatial recording resolutions imposes new challenges on the design of integrated neural interfaces with respect to power consumption, data handling and versatility. In this paper, we present an integrated acquisition system for in vitro and in vivo recording of neural activity. The ASIC consists of 16 low-noise, fully-differential input channels with independent programmability of its amplification (from 100 to 6000 V/V) and filtering (1-6000 Hz range) capabilities. Each channel is AC-coupled and implements a fourth-order band-pass filter in order to steeply attenuate out-of-band noise and DC input offsets. The system achieves an input-referred noise density of 37 nV Hz Index Terms-CMOS interface, in vitro recording, in vivo recording, low-noise neural recording, multichannel integrated circuit, programmable biosensor interface.

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“…Normalization with BL is performed to highlight changes in power changes. When the mean value from FI is greater than the mean value from BL (ERS), the resulting value of power is normalized according to equation (2). When the value from FI is smaller than the value from BL (ERD), the resulting value of power is normalized according to equation (3).…”

Section: ) Power Changesmentioning

confidence: 99%

Intracranial EEG Connectivity Analysis and Result Imaging

Klimeš¹,

Janeček²,

Jurák³

et al. 2012

IJBBB

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Abstract-We are presenting a method for analyzing signals from deep brain structures, measured by intracranial electrodes, to reveal connectivity in the human brain. Time evaluation of the correlation technique is applied for every available contact pair to determine dependencies between EEG channels. This produces a large amount of results that are not easy to interpret. Here we introduce a procedure for complex and comprehensive result imaging which helps us focus on significant parts of the results. Changes of power are examined along with correlation changes. Results are demonstrated for one subject. Five channels were selected from the hippocampus for detailed analysis. How the changes of correlation are connected to changes of power is shown in addition to the coupling between channels.

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Coupling of mesoscopic brain oscillations: Recent advances in analytical and theoretical perspectives

Cited by 65 publications

References 296 publications

Electrophysiological effects of guanosine and MK-801 in a quinolinic acid-induced seizure model

Electrophysiological effects of guanosine and MK-801 in a quinolinic acid-induced seizure model

A Multichannel Integrated Circuit for Electrical Recording of Neural Activity, With Independent Channel Programmability

Intracranial EEG Connectivity Analysis and Result Imaging

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