Evidence map›Paper›PMID 26295587›Full record

ArticlePLoS computational biology2015

Formation and Dynamics of Waves in a Cortical Model of Cholinergic Modulation.

James P Roach, Eshel Ben-Jacob, Leonard M Sander, Michal R Zochowski

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
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

15 citing papers in PubMed, 21 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

James P RoachNeuroscience Graduate Program, University of Michigan, Ann Arbor, Michigan, United States of America.
Eshel Ben-JacobSchool of Physics and Astronomy, Tel-Aviv University, Tel Aviv, Israel; Center for Theoretical Biological Physics, and Department of Biochemistry and Cell Biology, Rice University, Houston, Texas, United States of America.
Leonard M SanderDepartment of Physics & Center for Studies of Complex Systems, University of Michigan, Ann Arbor, Michigan, United States of America.
Michal R ZochowskiNeuroscience Graduate Program, University of Michigan, Ann Arbor, Michigan, United States of America; Department of Physics & Center for Studies of Complex Systems, University of Michigan, Ann Arbor, Michigan, United States of America; Biophysics Program, University of Michigan, Ann Arbor, Michigan, United States of America.
Michigan United · USRice University · US

Funding

Understanding Functional Network Reorganization During the Information ProcessingR01EB018297 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZOCHOWSKI, MICHAL R · 2014 to 2017
$1.4M
NIBIB NIH HHS R01 EB018297
6 · The paper itself

Abstract

Acetylcholine (ACh) is a regulator of neural excitability and one of the neurochemical substrates of sleep. Amongst the cellular effects induced by cholinergic modulation are a reduction in spike-frequency adaptation (SFA) and a shift in the phase response curve (PRC). We demonstrate in a biophysical model how changes in neural excitability and network structure interact to create three distinct functional regimes: localized asynchronous, traveling asynchronous, and traveling synchronous. Our results qualitatively match those observed experimentally. Cortical activity during slow wave sleep (SWS) differs from that during REM sleep or waking states. During SWS there are traveling patterns of activity in the cortex; in other states stationary patterns occur. Our model is a network composed of Hodgkin-Huxley type neurons with a M-current regulated by ACh. Regulation of ACh level can account for dynamical changes between functional regimes. Reduction of the magnitude of this current recreates the reduction in SFA the shift from a type 2 to a type 1 PRC observed in the presence of ACh. When SFA is minimal (in waking or REM sleep state, high ACh) patterns of activity are localized and easily pinned by network inhomogeneities. When SFA is present (decreasing ACh), traveling waves of activity naturally arise. A further decrease in ACh leads to a high degree of synchrony within traveling waves. We also show that the level of ACh determines how sensitive network activity is to synaptic heterogeneity. These regimes may have a profound functional significance as stationary patterns may play a role in the proper encoding of external input as memory and traveling waves could lead to synaptic regularization, giving unique insights into the role and significance of ACh in determining patterns of cortical activity and functional differences arising from the patterns.

Indexed as

Models, NeurologicalAcetylcholineAction PotentialsCerebral CortexCholinergic AgentsComputational BiologyComputer SimulationHumansNeuronsPotassiumSleepAcetylcholineCholinergic AgentsPotassium

Identifiers

PMID26295587
PMCPMC4546669
OpenAlexW1519137707

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.