Skip to content


  • Poster presentation
  • Open Access

Inhibitory control of up states and their propagation in the cortical network

  • 1, 2Email author,
  • 3,
  • 1,
  • 1 and
  • 1
BMC Neuroscience200910 (Suppl 1) :P171

  • Published:


  • Firing Rate
  • Slow Wave
  • Spontaneous Activity
  • Inhibitory Control
  • Network Activity


The cerebral cortex generates spontaneous activity organized in up and down states (<1 Hz) while in vitro [1]. This activity is similar to the cortical activity occurring during anesthesia and slow wave sleep [2]. Different studies have found that there is a delicate balance of excitation and inhibition during up states. Here we describe the effect of progressive blockade of inhibition on up states.


Ferret cortical slices were placed in an interface-style recording chamber and bathed in ACSF containing (in mM): NaCl, 124; KCl, 3.5; MgSO4, 1; NaHPO4, 1.25; CaCl2, 1.1; NaHCO3, 26; and dextrose, 10, aerated with 95% O2, 5% CO2 to a final pH of 7.4 and 34–35°C. The local field potential (LFP) was recorded with tungsten electrodes and MUAs (multiunit activity) were estimated as the average power of the relative LFP spectra in the frequency band of 0.2–1.5 Hz and sampled every 5 ms. This method is qualitatively similar to the one in [3].


Inhibition was progressively blocked starting with low concentrations of bicuculline methiodide (from 0.2 μM) or gabazine (from 10 μM) in the bath, all the way up to a total blockade. At low concentrations, these GABAA antagonists induced changes in the emerging activity without causing epileptiform discharges. The effects that we describe were common for both antagonists. A progressive decrease in the inhibition induced a progressive shortening of the up states to 1/4 the control one, while firing rate during up states increased. The slope of depolarization (repolarization) at the beginning (end) of the up state increased with lesser inhibition, reflecting higher synchronization in the network. The speed of wave propagation also increased progressively with the removal of inhibition. Quantifying these changes has helped us understand how inhibition shapes cortical network activity.



Supported by MICINN, CIDEM and IDIBAPS to MVSV.

Authors’ Affiliations

IDIBAPS (Institut d'Investigacions Biomèdiques August Pi i Sunyer), Barcelona, Spain
ICREA (Institució Catalana de Recerca i Estudis Avançats), Barcelona, Spain
Istituto Superiore di Sanità, Rome, Italy


  1. Sanchez-Vives MV, McCormick DA: Cellular and network mechanisms of rhythmic recurrent activity in neocortex. Nat Neurosci. 2000, 3: 1027-1034. 10.1038/79848.PubMedView ArticleGoogle Scholar
  2. Steriade M, Nunez A, Amzica F: A novel slow (< 1 Hz) oscillation of neocortical neurons in vivo: depolarizing and hyperpolarizing components. J Neurosci. 1993, 13: 3252-3265.PubMedGoogle Scholar
  3. Stark E, Abeles M: Predicting movement from multiunit activity. J Neurosci. 2007, 27: 8387-8394. 10.1523/JNEUROSCI.1321-07.2007.PubMedView ArticleGoogle Scholar


© Sanchez-Vives et al; licensee BioMed Central Ltd. 2009

This article is published under license to BioMed Central Ltd.