Detection of bursts in neuronal spike trains by the mean inter-spike interval method

Chen, Lin; Deng, Yong; Luo, Wang; Wang, Zhen; Zeng, Shaoqun

doi:10.1016/j.pnsc.2008.05.027

Cited by 58 publications

(46 citation statements)

References 18 publications

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“…The simplest method for detecting individual bursts is to detect when a particular ISI threshold is crossed. This ‘threshold ISI’ can be a fixed parameter [25-27] optionally requiring a preceding (or following) period of quiescence [28, 29] or can be determined from the ISI distribution [30-32]. The logarithm of the ISIs may also be used [33].…”

Section: Introductionmentioning

confidence: 99%

Abnormal bursting as a pathophysiological mechanism in Parkinson's disease

Lobb

2014

Basal Ganglia

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Despite remarkable advances in Parkinson's disease (PD) research, the pathophysiological mechanisms causing motor dysfunction remain unclear, possibly delaying the advent of new and improved therapies. Several such mechanisms have been proposed including changes in neuronal firing rates, the emergence of pathological oscillatory activity, increased neural synchronization, and abnormal bursting. This review focuses specifically on the role of abnormal bursting of basal ganglia neurons in PD, where a burst is a physiologically-relevant, transient increase in neuronal firing over some reference period or activity. After reviewing current methods for how bursts are detected and what the functional role of bursts may be under normal conditions, existing studies are reviewed that suggest that bursting is abnormally increased in PD and that this increases with worsening disease. Finally, the influence of therapeutic approaches for PD such as dopamine-replacement therapy with levodopa or dopamine agonists, lesions, or deep brain stimulation on bursting is discussed. Although there is insufficient evidence to conclude that increased bursting causes motor dysfunction in PD, current evidence suggests that targeted investigations into the role of bursting in PD may be warranted.

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Section: Introductionmentioning

confidence: 99%

Abnormal bursting as a pathophysiological mechanism in Parkinson's disease

Lobb

2014

Basal Ganglia

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“…Single channel bursts were defined as having at least 3 consecutive spikes with a maximum of 100 ms inter-spike interval. This definition was adapted using previous reports (Chen et al, 2009) and the joint inter-spike-interval histogram of individual electrodes. Increasing or decreasing firing rate between aCSF and hCSF was inferred if the relative change exceeded 50 percent.…”

Section: Single Channel Burstsmentioning

confidence: 99%

Human cerebrospinal fluid induces neuronal excitability changes in resected human neocortical and hippocampal brain slices

Wickham

Corna

Schwarz

et al. 2019

Preprint

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Human cerebrospinal fluid (hCSF) have proven advantageous over conventional medium when culturing both rodent and human brain tissue. Increased excitability and synchronicity, similar to the active state exclusively recorded in vivo, reported in rodent slice and cell-cultures with hCSF as recording medium, indicates properties of the hCSF not matched by the artificial cerebrospinal fluid (aCSF) commonly used for electrophysiological recording. To evaluate the possible importance of using hCSF as electrophysiological recording medium of human brain tissue, we compared the general excitability in ex vivo human brain tissue slice cultures during perfusion with hCSF and aCSF.For measuring the general activity from a majority of neurons within neocortical and hippocampal human ex vivo slices we used a microelectrode array (MEA) recording technique with 252 electrodes covering an area of 3.2 x 3.2 mm 2 and a second CMOS-based MEA with 4225 electrodes on a 2 x 2 mm 2 area for detailed mapping of action potential waveforms. We found that hCSF increase the number of active neurons and the firing rate of the neurons in the slices as well as increasing the numbers of bursts while leaving the duration of the bursts unchanged. Interestingly, not only an increase in the overall activity in the slices was observed, but a reconfiguration of the network functionality could be detected with specific activation and inactivation of subpopulations of neuronal ensembles. In conclusion, hCSF is an important component to consider for future human tissue studies, especially for experiments designed to mimic the in vivo situation.3

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“…Because of the complexity of the background oscillations and other noises, detecting a specific oscillation like burst activity or spiking is a long-standing challenge in investigating the dynamics of neuronal activity [4,39]. Global measures, such as CV and AI, were mainly used in previous studies [40,41].…”

Section: Apen Of Neuron Oscillationmentioning

confidence: 99%

Analysis of Neural Oscillations on Drosophila’s Subesophageal Ganglion Based on Approximate Entropy

Tian

Qiao

Zhou

et al. 2015

Entropy

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Abstract:The suboesophageal ganglion (SOG), which connects to both central and peripheral nerves, is the primary taste-processing center in the Drosophila's brain. The neural oscillation in this center may be of great research value yet it is rarely reported. This work aims to determine the amount of unique information contained within oscillations of the SOG and describe the variability of these patterns. The approximate entropy (ApEn) values of the spontaneous membrane potential (sMP) of SOG neurons were calculated in this paper. The arithmetic mean (MA), standard deviation (SDA) and the coefficient of variation (CVA) of ApEn were proposed as the three statistical indicators to describe the irregularity and complexity of oscillations. The hierarchical clustering method was used to classify them. As a result, the oscillations in SOG were divided into five categories, including: (1) Continuous spike pattern; (2) Mixed Steady oscillation state has a low level of irregularity, and vice versa. The dopamine stimulation can distinctly cut down the complexity of the mixed oscillation pattern. The current study provides a quantitative method and some critera on mining the information carried in neural oscillations.

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Detection of bursts in neuronal spike trains by the mean inter-spike interval method

Cited by 58 publications

References 18 publications

Abnormal bursting as a pathophysiological mechanism in Parkinson's disease

Abnormal bursting as a pathophysiological mechanism in Parkinson's disease

Human cerebrospinal fluid induces neuronal excitability changes in resected human neocortical and hippocampal brain slices

Analysis of Neural Oscillations on Drosophila’s Subesophageal Ganglion Based on Approximate Entropy

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