Evidence map›Paper›PMID 24571097›Full record

ArticleNetwork (Bristol, England)

Effect of heterogeneity and noise on cross frequency phase-phase and phase-amplitude coupling.

Ruben Tikidji-Hamburyan, Eric C Lin, Sonia Gasparini, Carmen C Canavier

Abstract read
In one paragraph

Article in Network (Bristol, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Phase-resetting as a tool of information transmission.Current opinion in neurobiology · 2015
    Review
  4. 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.

Ruben Tikidji-HamburyanDepartment of Cell Biology and Anatomy .
Eric C Lin
Sonia Gasparini
Carmen C Canavier

Funding

Synchronization in Noisy, Heterogeneous Excitatory/Inhibitory NetworksR01NS054281 · NINDS · LSU HEALTH SCIENCES CENTER · PI CANAVIER, CARMEN CASTRO · 2005 to 2022
$5.4M
Multiphoton ConfocalP30GM103340 · NIGMS · LSU HEALTH SCIENCES CENTER · PI BAZAN, NICOLAS G. · 2012 to 2016
$5.1M
Functional organization of a reticulospinal motor connectomeR01NS085387 · NINDS · EMORY UNIVERSITY · PI PERREAULT, MARIE-CLAUDE · 2014 to 2018
$1.7M
Dendritic Integration in the Entorhinal CortexR01NS069714 · NINDS · LSU HEALTH SCIENCES CENTER · PI GASPARINI, SONIA · 2010 to 2014
$1.5M
CRCNS: Phase resetting predicts synchronization in hybrid hippocampal circuitsR01MH085387 · NIMH · LSU HEALTH SCIENCES CENTER · PI CANAVIER, CARMEN CASTRO · 2008 to 2010
$944k
NIGMS NIH HHS P30 GM103340NIGMS NIH HHS P30GM103340NIMH NIH HHS R01 MH085387NINDS NIH HHS R01 NS054281NINDS NIH HHS R01NS054281NINDS NIH HHS R01 NS069714NINDS NIH HHS R01NS069714NINDS NIH HHS R01NS 085387
6 · The paper itself

Abstract

Cross-frequency coupling is hypothesized to play a functional role in neural computation. We apply phase resetting theory to two types of cross-frequency coupling that can occur when a slower oscillator periodically forces one or more oscillators: phase-phase coupling, in which the two oscillations are phase-locked, and phase-amplitude coupling, in which the amplitude of the driven oscillation is modulated. Our first result is that the shape of the phase resetting curve predicts the tightness of locking to a pulsatile forcing periodic input at any ratio of forced to intrinsic period; the tightness of the locking decreases as the ratio increases. Theoretical expressions were obtained for the probability density of the phases for a population of heterogeneous oscillators or a noisy single oscillator. Results were confirmed using two types of simulated networks and experiments on hippocampal CA1 neurons. Theoretical expressions were also obtained and confirmed for the probability density of N spike times within a single cycle of low frequency forcing. The second result is a suggested mechanism for phase-amplitude coupling in which progressive desynchronization leads to decreasing amplitude during a low frequency forcing cycle. Network simulations confirmed the theoretical viability of this mechanism, and that it generalizes to more diffuse input.

Indexed as

Models, NeurologicalNeural Networks, ComputerAnimalsCA1 Region, HippocampalMaleNeuronsRatsRats, Sprague-Dawley

Identifiers

PMID24571097
PMCPMC3972019

What OpenQuestion holds

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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.