scholarly journals Preparation of biological samples for the recording of electrophysiological signals using high-density microelectrode arrays

2020 ◽  
Author(s):  
Xinyue Yuan ◽  
Manuel Schröter ◽  
Marie Engelene J. Obien ◽  
Michele Fiscella ◽  
Wei Gong ◽  
...  
Keyword(s):  
Biological Samples ◽  
Cortical Neurons ◽  
Brain Slices ◽  
Microelectrode Arrays ◽  
High Density ◽  
Brain Functions ◽  
Extracellular Signals ◽  
Electrophysiological Signals ◽  
Electrophysiological Studies ◽  
Induced Pluripotent

Abstract The use of high-density microelectrode arrays (HD-MEAs) provides a promising approach for electrophysiological studies targeted at understanding of brain functions, profiling of neurodegenerative diseases, and drug screening. Here we present the protocol for the preparation of various biological samples for the recording of extracellular signals using HD-MEA, including primary cortical neurons, induced pluripotent stem cells (iPSCs)-derived neurons, rodent brain slices, retina, and iPSC-derived neuronal spheroids.

LY392098, a novel AMPA receptor potentiator: electrophysiological studies in prefrontal cortical neurons

2001 ◽  
Vol 40 (8) ◽  
pp. 992-1002 ◽  
Author(s):  
Polly Baumbarger ◽  
Mark Muhlhauser ◽  
Charles R Yang ◽  
Eric S Nisenbaum
Keyword(s):  
Ampa Receptor ◽  
Cortical Neurons ◽  
Prefrontal Cortical ◽  
Electrophysiological Studies

Why ‘the bigger the better’ is not always the case when utilising microelectrode arrays: high density vs. low density arrays for the electroanalytical sensing of chromium(vi)

The Analyst ◽  
2009 ◽  
Vol 134 (11) ◽  
pp. 2301 ◽  
Author(s):  
Sebastian J. Hood ◽  
Dimitrios. K. Kampouris ◽  
Rashid O. Kadara ◽  
Norman Jenkinson ◽  
F. Javier del Campo ◽  
...  
Keyword(s):  
Microelectrode Arrays ◽  
High Density ◽  
Low Density ◽  
Chromium Vi

scholarly journals Neuronal network dysfunction in a model for Kleefstra syndrome mediated by enhanced NMDAR signaling

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Monica Frega ◽  
Katrin Linda ◽  
Jason M. Keller ◽  
Güvem Gümüş-Akay ◽  
Britt Mossink ◽  
...  
Keyword(s):  
Neuronal Network ◽  
Cortical Neurons ◽  
Neurodevelopmental Disorder ◽  
Control Networks ◽  
Human Neurons ◽  
Kleefstra Syndrome ◽  
Nmdar Subunit ◽  
Induced Pluripotent ◽  
Reduced Rate ◽  
The Impact

Abstract Kleefstra syndrome (KS) is a neurodevelopmental disorder caused by mutations in the histone methyltransferase EHMT1. To study the impact of decreased EHMT1 function in human cells, we generated excitatory cortical neurons from induced pluripotent stem (iPS) cells derived from KS patients. Neuronal networks of patient-derived cells exhibit network bursting with a reduced rate, longer duration, and increased temporal irregularity compared to control networks. We show that these changes are mediated by upregulation of NMDA receptor (NMDAR) subunit 1 correlating with reduced deposition of the repressive H3K9me2 mark, the catalytic product of EHMT1, at the GRIN1 promoter. In mice EHMT1 deficiency leads to similar neuronal network impairments with increased NMDAR function. Finally, we rescue the KS patient-derived neuronal network phenotypes by pharmacological inhibition of NMDARs. Summarized, we demonstrate a direct link between EHMT1 deficiency and NMDAR hyperfunction in human neurons, providing a potential basis for more targeted therapeutic approaches for KS.

scholarly journals ApoE4 attenuates cortical neuronal activity and impairs memory in young apoE4 rats

2021 ◽  
Author(s):  
Ilona Har-Paz ◽  
Elor Arieli ◽  
Anan Moran
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Risk Factor ◽  
Neuronal Activity ◽  
Genetic Risk ◽  
Cortical Neurons ◽  
Late Onset ◽  
Genetic Risk Factor ◽  
Normal Brain ◽  
Brain Functions

AbstractThe E4 allele of apolipoprotein E (apoE4) is the strongest genetic risk factor for late-onset Alzheimer’s disease (AD). However, apoE4 may cause innate brain abnormalities before the appearance of AD related neuropathology. Understanding these primary dysfunctions is vital for early detection of AD and the development of therapeutic strategies for it. Recently we have shown impaired extra-hippocampal memory in young apoE4 mice – a deficit that was correlated with attenuated structural pre-synaptic plasticity in cortical and subcortical regions. Here we test the hypothesis that these early structural deficits impact learning via changes in basal and stimuli evoked neuronal activity. We recorded extracellular neuronal activity from the gustatory cortex (GC) of three-month-old humanized apoE4 and wildtype rats, before and after conditioned taste aversion (CTA) training. Despite normal sucrose drinking behavior before CTA, young apoE4 rats showed impaired CTA learning, consistent with our previous results in apoE4 mice. This behavioral deficit was correlated with decreased basal and taste-evoked firing rates in both putative excitatory and inhibitory GC neurons. Single neuron and ensemble analyses of taste coding demonstrated that apoE4 neurons could be used to correctly classify tastes, but were unable to undergo plasticity to support learning. Our results suggest that apoE4 impacts brain excitability and plasticity early in life and may act as an initiator for later AD pathologies.Significant statementThe ApoE4 allele is the strongest genetic risk-factor for late-onset Alzheimer’s disease (AD), yet the link between apoE4 and AD is still unclear. Recent molecular and in-vitro studies suggest that apoE4 interferes with normal brain functions decades before the development of its related AD neuropathology. Here we recorded the activity of cortical neurons from young apoE4 rats during extra-hippocampal learning to study early apoE4 neuronal activity abnormalities, and their effects over coding capacities. We show that apoE4 drastically reduces basal and stimuli-evoked cortical activity in both excitatory and inhibitory neurons. The apoE4-induced activity attenuation did not prevent coding of stimuli identity and valence, but impaired capacity to undergo activity changes to support learning. Our findings support the hypothesis that apoE4 interfere with normal neuronal plasticity early in life; a deficit that may lead to late-onset AD development.

scholarly journals Electrophysiological and Transcriptomic Features Reveal a Circular Taxonomy of Cortical Neurons

2021 ◽  
Vol 15 ◽  
Author(s):  
Alejandro Rodríguez-Collado ◽  
Cristina Rueda
Keyword(s):  
Cortical Neurons ◽  
Cell Types ◽  
Mammalian Brain ◽  
Neuronal Dynamics ◽  
Electrophysiological Signals ◽  
Visual Cortex Neurons ◽  
Line Level ◽  
Mouse Visual Cortex ◽  
Different Levels

The complete understanding of the mammalian brain requires exact knowledge of the function of each neuron subpopulation composing its parts. To achieve this goal, an exhaustive, precise, reproducible, and robust neuronal taxonomy should be defined. In this paper, a new circular taxonomy based on transcriptomic features and novel electrophysiological features is proposed. The approach is validated by analysing more than 1850 electrophysiological signals of different mouse visual cortex neurons proceeding from the Allen Cell Types database. The study is conducted on two different levels: neurons and their cell-type aggregation into Cre lines. At the neuronal level, electrophysiological features have been extracted with a promising model that has already proved its worth in neuronal dynamics. At the Cre line level, electrophysiological and transcriptomic features are joined on cell types with available genetic information. A taxonomy with a circular order is revealed by a simple transformation of the first two principal components that allow the characterization of the different Cre lines. Moreover, the proposed methodology locates other Cre lines in the taxonomy that do not have transcriptomic features available. Finally, the taxonomy is validated by Machine Learning methods which are able to discriminate the different neuron types with the proposed electrophysiological features.

scholarly journals Electrophysiological and Transcriptomic Features Reveal a Circular Taxonomy of Cortical Neurons

2021 ◽  
Author(s):  
Alejandro Rodríguez-Collado ◽  
Cristina Rueda
Keyword(s):  
Cortical Neurons ◽  
Cell Types ◽  
Mammalian Brain ◽  
Neuronal Dynamics ◽  
Electrophysiological Signals ◽  
Visual Cortex Neurons ◽  
Line Level ◽  
Mouse Visual Cortex ◽  
Different Levels

The complete understanding of the mammalian brain requires exact knowledge of the function of each of the neurons composing its parts. To achieve this goal, an exhaustive, precise, reproducible, and robust neuronal taxonomy should be defined. In this paper, a new circular taxonomy based on transcriptomic features and novel electrophysiological features is proposed. The approach is validated by analysing more than 1850 electrophysiological signals of different mouse visual cortex neurons proceeding from the Allen Cell Types Database. The study is conducted on two different levels: neurons and their cell-type aggregation into Cre Lines. At the neuronal level, electrophysiological features have been extracted with a promising model that has already proved its worth in neuronal dynamics. At the Cre Line level, electrophysiological and transcriptomic features are joined on cell types with available genetic information. A taxonomy with a circular order is revealed by a simple transformation of the first two principal components that allow the characterization of the different Cre Lines. Moreover, the proposed methodology locates other Cre Lines in the taxonomy that do not have transcriptomic features available. Finally, the taxonomy is validated by Machine Learning methods which are able to discriminate the different neuron types with the proposed electrophysiological features.

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