Evidence map›Paper›PMID 14512752›Full record

ArticleJournal of computational neuroscience

Analysis of state-dependent transitions in frequency and long-distance coordination in a model oscillatory cortical circuit.

David J Pinto, Stephanie R Jones, Tasso J Kaper, Nancy Kopell

Abstract read
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In one paragraph

Article in Journal of computational neuroscience. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Analysis of complex neural circuits with nonlinear multidimensional hidden state models.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Neural correlates of tactile detection: a combined magnetoencephalography and biophysically based computational modeling study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2007
    Article
  11. Adaptive reconfiguration of fractal small-world human brain functional networks.Proceedings of the National Academy of Sciences of the United States of America · 2006
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

David J PintoDepartment of Neuroscience, Brown University, Box 1953, Providence, RI 02912, USA. dpinto@bu.edu
Stephanie R Jones
Tasso J Kaper
Nancy Kopell

Funding

CELLULAR PHYSIOLOGY OF NEURONAL CIRCUITS IN NEOCORTEXR01NS025983 · NINDS · BROWN UNIVERSITY · PI CONNORS, BARRY W · 1988 to 2010
$3.0M
Rhythms of the Nervous SystemR01NS046058 · NINDS · BOSTON UNIVERSITY · PI KOPELL, NANCY · 2002 to 2005
$1.3M
NICOTINIC MECHANISMS IN SENSORY NEOCORTEXR01DA012500 · NIDA · BROWN UNIVERSITY · PI CONNORS, BARRY W · 1999 to 2002
$691k
NIDA NIH HHS DA 12500NINDS NIH HHS NS 25983NINDS NIH HHS R01 NS 46058
6 · The paper itself

Abstract

Changes in behavioral state are typically accompanied by changes in the frequency and spatial coordination of rhythmic activity in the neocortex. In this article, we analyze the effects of neuromodulation on ionic conductances in an oscillating cortical circuit model. The model consists of synaptically-coupled excitatory and inhibitory neurons and supports rhythmic activity in the alpha, beta, and gamma ranges. We find that the effects of neuromodulation on ionic conductances are, by themselves, sufficient to induce transitions between synchronous gamma and beta rhythms and asynchronous alpha rhythms. Moreover, these changes are consistent with changes in behavioral state, with the rhythm transitioning from the slower alpha to the faster gamma and beta as arousal increases. We also observe that it is the same set of underlying intrinsic and network mechanisms that appear to be simultaneously responsible for both the observed transitions between the rhythm types and between their synchronization properties. Spike time response curves (STRCs) are used to study the relationship between the transitions in rhythm and the underlying biophysics.

Indexed as

Cortical SynchronizationModels, NeurologicalAction PotentialsBiophysical PhenomenaBiophysicsElectroencephalographyNeocortexNerve NetNeural InhibitionNeural Networks, ComputerNeuronsSynapsesSynaptic TransmissionTime Factors

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.