Human Single Neuron Recording as an Approach to Understand the Neurophysiology of Seizure Generation

The somatotopy of the lateral part of dorsal premotor area F2 has been studied by means of intracortical microstimulation and single neuron recording. The results show that most of this sector of F2 is excitable with low-intensity currents (3–40 μA) and that intracortical microstimulation evokes forelimb and trunk movements. Both proximal and distal forelimb movements are evoked in similar percentages. The proximal and distal forelimb representations partially overlap. However, proximal movements tend to be located more medially (laterally to the superior precentral dimple), whereas distal movements tend to be located more laterally (medially to the spur of the arcuate sulcus). The somatotopic organization demonstrated with microstimulation is confirmed by the similar somatotopic organization of active movements and of somatosensory properties revealed by single-neuron recording. The excitability and somatotopic organization of the lateral part of area F2 are discussed in relation to previous electrophysiological and anatomical findings. The involvement of the distal forelimb representation of area F2 in programming and controlling reaching to grasp movements is suggested.

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Combined Single- Neuron Recording and Microdialysis in the Brain of Freely Behaving Animals (Rod...

Methods in Alcohol-Related Neuroscience Research - Frontiers in Neuroscience ◽

10.1201/9781420042092.ch11 ◽

2002 ◽

Author(s):

Nandor Ludvig

Keyword(s):

Single Neuron ◽

Single Neuron Recording ◽

Freely Behaving ◽

The Brain

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Population-Level Analysis of Multi-Single Neuron Recording Data

Methods for NEURAL ENSEMBLE RECORDINGS ◽

10.1201/9781420048254-10 ◽

1998 ◽

pp. 209-244

Keyword(s):

Single Neuron ◽

Population Level ◽

Single Neuron Recording ◽

Level Analysis

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Bayesian Correction for Attenuation of Correlation in Multi-Trial Spike Count Data

Journal of Neurophysiology ◽

10.1152/jn.90727.2008 ◽

2009 ◽

Vol 101 (4) ◽

pp. 2186-2193 ◽

Cited By ~ 11

Author(s):

Sam Behseta ◽

Tamara Berdyyeva ◽

Carl R. Olson ◽

Robert E. Kass

Keyword(s):

Frontal Cortex ◽

Recent Work ◽

Confidence Intervals ◽

Simulation Study ◽

Count Data ◽

Single Neuron ◽

Serial Order ◽

Macaque Monkey ◽

Single Neuron Recording ◽

Correction For Attenuation

When correlation is measured in the presence of noise, its value is decreased. In single-neuron recording experiments, for example, the correlation of selectivity indices in a pair of tasks may be assessed across neurons, but, because the number of trials is limited, the measured index values for each neuron will be noisy. This attenuates the correlation. A correction for such attenuation was proposed by Spearman more than 100 yr ago, and more recent work has shown how confidence intervals may be constructed to supplement the correction. In this paper, we propose an alternative Bayesian correction. A simulation study shows that this approach can be far superior to Spearman's, both in accuracy of the correction and in coverage of the resulting confidence intervals. We demonstrate the usefulness of this technology by applying it to a set of data obtained from the frontal cortex of a macaque monkey while performing serial order and variable reward saccade tasks. There the correction results in a substantial increase in the correlation across neurons in the two tasks.

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