Literature DB >> 15056678

Characterization of neocortical principal cells and interneurons by network interactions and extracellular features.

Peter Barthó1, Hajime Hirase, Lenaïc Monconduit, Michael Zugaro, Kenneth D Harris, György Buzsáki.   

Abstract

Most neuronal interactions in the cortex occur within local circuits. Because principal cells and GABAergic interneurons contribute differently to cortical operations, their experimental identification and separation is of utmost important. We used 64-site two-dimensional silicon probes for high-density recording of local neurons in layer 5 of the somatosensory and prefrontal cortices of the rat. Multiple-site monitoring of units allowed for the determination of their two-dimensional spatial position in the brain. Of the approximately 60,000 cell pairs recorded, 0.2% showed robust short-term interactions. Units with significant, short-latency (<3 ms) peaks following their action potentials in their cross-correlograms were characterized as putative excitatory (pyramidal) cells. Units with significant suppression of spiking of their partners were regarded as putative GABAergic interneurons. A portion of the putative interneurons was reciprocally connected with pyramidal cells. Neurons physiologically identified as inhibitory and excitatory cells were used as templates for classification of all recorded neurons. Of the several parameters tested, the duration of the unfiltered (1 Hz to 5 kHz) spike provided the most reliable clustering of the population. High-density parallel recordings of neuronal activity, determination of their physical location and their classification into pyramidal and interneuron classes provide the necessary tools for local circuit analysis.

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Year:  2004        PMID: 15056678     DOI: 10.1152/jn.01170.2003

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  341 in total

1.  Spatiotemporal dynamics of neocortical excitation and inhibition during human sleep.

Authors:  Adrien Peyrache; Nima Dehghani; Emad N Eskandar; Joseph R Madsen; William S Anderson; Jacob A Donoghue; Leigh R Hochberg; Eric Halgren; Sydney S Cash; Alain Destexhe
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-17       Impact factor: 11.205

2.  Roles of narrow- and broad-spiking dorsal premotor area neurons in reach target selection and movement production.

Authors:  Joo-Hyun Song; Robert M McPeek
Journal:  J Neurophysiol       Date:  2010-02-17       Impact factor: 2.714

3.  Roles of monkey premotor neuron classes in movement preparation and execution.

Authors:  Matthew T Kaufman; Mark M Churchland; Gopal Santhanam; Byron M Yu; Afsheen Afshar; Stephen I Ryu; Krishna V Shenoy
Journal:  J Neurophysiol       Date:  2010-06-10       Impact factor: 2.714

4.  Subset of thin spike cortical neurons preserve the peripheral encoding of stimulus onsets.

Authors:  Frank G Lin; Robert C Liu
Journal:  J Neurophysiol       Date:  2010-10-13       Impact factor: 2.714

5.  Intrinsic circuit organization and theta-gamma oscillation dynamics in the entorhinal cortex of the rat.

Authors:  Pascale Quilichini; Anton Sirota; György Buzsáki
Journal:  J Neurosci       Date:  2010-08-18       Impact factor: 6.167

6.  High noise correlation between the functionally connected neurons in emergent V1 microcircuits.

Authors:  Vishal Bharmauria; Lyes Bachatene; Sarah Cattan; Nayan Chanauria; Jean Rouat; Stéphane Molotchnikoff
Journal:  Exp Brain Res       Date:  2015-11-02       Impact factor: 1.972

7.  On the Complexity of Resting State Spiking Activity in Monkey Motor Cortex.

Authors:  Paulina Anna Dąbrowska; Nicole Voges; Michael von Papen; Junji Ito; David Dahmen; Alexa Riehle; Thomas Brochier; Sonja Grün
Journal:  Cereb Cortex Commun       Date:  2021-05-18

8.  Associative and plastic thalamic signaling to the lateral amygdala controls fear behavior.

Authors:  Boglárka Barsy; Kinga Kocsis; Aletta Magyar; Ákos Babiczky; Mónika Szabó; Judit M Veres; Dániel Hillier; István Ulbert; Ofer Yizhar; Ferenc Mátyás
Journal:  Nat Neurosci       Date:  2020-04-13       Impact factor: 24.884

9.  Cocaine Place Conditioning Strengthens Location-Specific Hippocampal Coupling to the Nucleus Accumbens.

Authors:  Lucas Sjulson; Adrien Peyrache; Andrea Cumpelik; Daniela Cassataro; György Buzsáki
Journal:  Neuron       Date:  2018-05-10       Impact factor: 17.173

10.  Flexibility of sensory representations in prefrontal cortex depends on cell type.

Authors:  Cory R Hussar; Tatiana Pasternak
Journal:  Neuron       Date:  2009-12-10       Impact factor: 17.173

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