scholarly journals Characterization of the thalamic–subthalamic circuit involved in the placebo response through single-neuron recording in Parkinson patients

Cortex ◽  
2014 ◽  
Vol 60 ◽  
pp. 3-9 ◽  
Author(s):  
Elisa Frisaldi ◽  
Elisa Carlino ◽  
Michele Lanotte ◽  
Leonardo Lopiano ◽  
Fabrizio Benedetti
Keyword(s):  
Single Neuron ◽  
Placebo Response ◽  
Single Neuron Recording

scholarly journals Identification and characterization of functional modules reflecting transcriptome transition during human neuron maturation

2017 ◽  
Author(s):  
Zhisong He ◽  
Qianhui Yu
Keyword(s):  
Single Neuron ◽  
Interaction Network ◽  
Molecular Characteristics ◽  
Data Sets ◽  
Functional Modules ◽  
Maturation Process ◽  
Neuron Development ◽  
Protein Protein Interaction ◽  
Synaptic Functions

AbstractBackgroundNeuron maturation is a critical process in neurogenesis, during which neurons gain their morphological, electrophysiological and molecular characteristics for their functions as the central components of the nervous system.ResultsTo better understand the molecular changes during this process, we combined the protein-protein interaction network and public single cell RNA-seq data of mature and immature neurons to identify functional modules relevant to the neuron maturation process in humans. The analysis resulted in 33 discriminable modules which participate in varied functions including energy consumption, synaptic functions and housekeeping functions such as translation and splicing. Based on the identified modules, we trained a neuron maturity index (NMI) model for the quantification of maturation states of single neurons or purified bulk neurons. Applied to multiple single neuron transcriptome data sets of neuron development in humans and mice, the NMI model made estimation of neuron maturity states which were significantly correlated with the neuron maturation trajectories in both species, implying the reproducibility and conservation of the identified transcriptome transition.ConclusionWe identified 33 functional modules whose activities were significantly correlated with single neuron maturity states, which may play important roles in the neuron maturation process.

Ceramic-Based Multisite Electrode Arrays for Chronic Single-Neuron Recording

2004 ◽  
Vol 51 (4) ◽  
pp. 647-656 ◽  
Author(s):  
K.A. Moxon ◽  
S. Leiser ◽  
G.A. Gerhardt ◽  
K.A. Barbee ◽  
J.K. Chapin
Keyword(s):  
Single Neuron ◽  
Electrode Arrays ◽  
Single Neuron Recording

Somatotopic Organization of the Lateral Part of Area F2 (Dorsal Premotor Cortex) of the Macaque Monkey

2003 ◽  
Vol 89 (3) ◽  
pp. 1503-1518 ◽  
Author(s):  
Vassilis Raos ◽  
Gianfranco Franchi ◽  
Vittorio Gallese ◽  
Leonardo Fogassi
Keyword(s):  
Single Neuron ◽  
Premotor Cortex ◽  
Macaque Monkey ◽  
Lateral Part ◽  
Intracortical Microstimulation ◽  
Low Intensity ◽  
Somatotopic Organization ◽  
Trunk Movements ◽  
Single Neuron Recording ◽  
Forelimb Movements

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.

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

2009 ◽  
Vol 101 (4) ◽  
pp. 2186-2193 ◽  
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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