Morpho-Functional Mapping of Cortical Networks in Brain Slice Preparations Using Paired Electrophysiological Recordings

Radnikow, Gabriele; Günter, Robert Heinz; Marx, Manuel; Feldmeyer, Dirk

doi:10.1007/7657_2011_14

Cited by 10 publications

(11 citation statements)

References 77 publications

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“…No neurons more superficial than 50 µm were patched; patched neurons were identified as FS L4 interneurons by their voltage response and fast action potential (AP) firing pattern in response to brief current injections (suprathreshold current pulse of 500 ms). Passive and active electrophysiological properties of FS L4 interneurons cells were determined from recordings with an Axoclamp-2B amplifier (Axon Instruments, Union City, CA, USA) and determined off-line (see Table 1 ; Feldmeyer et al 1999 ; Radnikow et al 2012 ). L4 spiny neurons were identified primarily by their significantly wider AP half width and their regular AP firing pattern ( Connors et al 1982 ; Connors and Gutnick 1990 ).…”

Section: Methodsmentioning

confidence: 99%

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A Barrel-Related Interneuron in Layer 4 of Rat Somatosensory Cortex with a High Intrabarrel Connectivity

et al. 2013

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Synaptic connections between identified fast-spiking (FS), parvalbumin (PV)-positive interneurons, and excitatory spiny neurons in layer 4 (L4) of the barrel cortex were investigated using patch-clamp recordings and simultaneous biocytin fillings. Three distinct clusters of FS L4 interneurons were identified based on their axonal morphology relative to the barrel column suggesting that these neurons do not constitute a homogeneous interneuron population. One L4 FS interneuron type had an axonal domain strictly confined to a L4 barrel and was therefore named “barrel-confined inhibitory interneuron” (BIn). BIns established reliable inhibitory synaptic connections with L4 spiny neurons at a high connectivity rate of 67%, of which 69% were reciprocal. Unitary IPSPs at these connections had a mean amplitude of 0.9 ± 0.8 mV with little amplitude variation and weak short-term synaptic depression. We found on average 3.7 ± 1.3 putative inhibitory synaptic contacts that were not restricted to perisomatic areas. In conclusion, we characterized a novel type of barrel cortex interneuron in the major thalamo-recipient layer 4 forming dense synaptic networks with L4 spiny neurons. These networks constitute an efficient and powerful inhibitory feedback system, which may serve to rapidly reset the barrel microcircuitry following sensory activation.

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Section: Methodsmentioning

confidence: 99%

“…Searching for GABAergic inhibitory connections was done by application of brief suprathreshold current injections at a frequency of 10 Hz, which elicited APs in the presynaptic interneuron. If IPSPs were detected in the postsynaptic spiny cell, we used a standard protocol for paired recording ( Feldmeyer et al 1999 ; Radnikow et al 2012 ).…”

Section: Methodsmentioning

confidence: 99%

A Barrel-Related Interneuron in Layer 4 of Rat Somatosensory Cortex with a High Intrabarrel Connectivity

et al. 2013

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“…Biocytin-filled cells were visualized using an avidin-biotinylated horseradish peroxidase complex reaction (ABC-Elite; Camon, Wiesbaden, Germany) with 3,3′-diaminobenzidine (Sigma-Aldrich, St. Louis, MO, USA) as a chromogen giving a dark reaction product. After dehydration and embedding in Moviol (Clariant, Sulzbach, Germany) or embedding in Eukitt (Marienfeld Laboratory, Glassware, Lauda-Königshof, Germany), neurons were reconstructed using the Neurolucida software (MBF Bioscience) at ×400–×630 ( Radnikow et al 2012 ; Marx et al 2012 ).…”

Section: Methodsmentioning

confidence: 99%

Cell Type-Specific Effects of Adenosine on Cortical Neurons

Aerde

Feldmeyer

2013

Cerebral Cortex

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The neuromodulator adenosine is widely considered to be a key regulator of sleep homeostasis and an indicator of sleep need. Although the effect of adenosine on subcortical areas has been previously described, the effects on cortical neurons have not been addressed systematically to date. To that purpose, we performed in vitro whole-cell patch-clamp recordings and biocytin staining of pyramidal neurons and interneurons throughout all layers of rat prefrontal and somatosensory cortex, followed by morphological analysis. We found that adenosine, via the A1 receptor, exerts differential effects depending on neuronal cell type and laminar location. Interneurons and pyramidal neurons in layer 2 and a subpopulation of layer 3 pyramidal neurons that displayed regular spiking were insensitive to adenosine application, whereas other pyramidal cells in layers 3–6 were hyperpolarized (range 1.2–10.8 mV). Broad tufted pyramidal neurons with little spike adaptation showed a small adenosine response, whereas slender tufted pyramidal neurons with substantial adaptation showed a bigger response. These studies of the action of adenosine at the postsynaptic level may contribute to the understanding of the changes in cortical circuit functioning that take place between sleep and awakening.

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“…The most crucial step for paired recordings in acute brain slices is to find a sufficiently stable synaptic connection so that a detailed analysis of its structural and functional properties is possible. This step depends on several important factors which will be discussed here in brief (for more details, see Radnikow et al, 2012;Feldmeyer and Radnikow, 2016). First, it is important to determine the optimal procedure for preparing brain slices so that the axo-dendritic branches of both pre-and postsynaptic neuron for the synaptic connection under study is well preserved.…”

Section: Electrophysiological Morphological And/or Molecular Characmentioning

confidence: 99%

“…For a detailed characterization of the morphological properties of synaptic connections, an optimal biocytin filling and a careful histochemical processing are of major importance. We have optimized these procedures in our laboratory (see Marx et al, 2012;Radnikow et al, 2012;Qi et al, 2015;Feldmeyer and Radnikow, 2016).…”

Section: Morphological And/or Molecular Characterization Of Synaptic mentioning

confidence: 99%

Unveiling the Synaptic Function and Structure Using Paired Recordings From Synaptically Coupled Neurons

Yang

Ding

et al. 2020

Front. Synaptic Neurosci.

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Synaptic transmission between neurons is the basic mechanism for information processing in cortical microcircuits. To date, paired recording from synaptically coupled neurons is the most widely used method which allows a detailed functional characterization of unitary synaptic transmission at the cellular and synaptic level in combination with a structural characterization of both pre-and postsynaptic neurons at the light and electron microscopic level. In this review, we will summarize the many applications of paired recordings to investigate synaptic function and structure. Paired recordings have been used to study the detailed electrophysiological and anatomical properties of synaptically coupled cell pairs within a synaptic microcircuit; this is critical in order to understand the connectivity rules and dynamic properties of synaptic transmission. Paired recordings can also be adopted for quantal analysis of an identified synaptic connection and to study the regulation of synaptic transmission by neuromodulators such as acetylcholine, the monoamines, neuropeptides, and adenosine etc. Taken together, paired recordings from synaptically coupled neurons will remain a very useful approach for a detailed characterization of synaptic transmission not only in the rodent brain but also that of other species including humans.

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Morpho-Functional Mapping of Cortical Networks in Brain Slice Preparations Using Paired Electrophysiological Recordings

Cited by 10 publications

References 77 publications

A Barrel-Related Interneuron in Layer 4 of Rat Somatosensory Cortex with a High Intrabarrel Connectivity

A Barrel-Related Interneuron in Layer 4 of Rat Somatosensory Cortex with a High Intrabarrel Connectivity

Cell Type-Specific Effects of Adenosine on Cortical Neurons

Unveiling the Synaptic Function and Structure Using Paired Recordings From Synaptically Coupled Neurons

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