Evidence map›Paper›PMID 20181731›Full record

ArticleJournal of neurophysiology2010

Composite modulatory feedforward loop contributes to the establishment of a network state.

Jin-Sheng Wu, Ferdinand S Vilim, Nathan G Hatcher, Michael R Due, Jonathan V Sweedler, Klaudiusz R Weiss, Jian Jing

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. An Anticipatory Circuit Modification That Modifies Subsequent Task Switching.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  11. Article
  12. Network Degeneracy and the Dynamics of Task Switching in the Feeding Circuit inThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  13. Review
  14. Cellular Effects of Repetition Priming in theThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  15. Article
  16. Use of theJournal of neurophysiology · 2017
    Review
  17. Article
  18. Article
  19. Article
  20. Specificity of repetition priming: the role of chemical coding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
    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

7 authors.

Jin-Sheng WuDept. of Neuroscience, Mount Sinai School of Medicine, New York, NY 10029, USA.
Ferdinand S Vilim
Nathan G Hatcher
Michael R Due
Jonathan V Sweedler
Klaudiusz R Weiss
Jian Jing

Funding

The UIUC Neuroproteomics Center on Cell-Cell SignalingP30DA018310 · NIDA · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI Elena V Romanova · 2004 to 2026
$24.9M
SUBCELLULAR CHARACTERIZATION OF NEUROTRANSMITTERSR01NS031609 · NINDS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI SWEEDLER, JONATHAN V. · 1998 to 2022
$6.2M
Neural Basis of Behavioral FlexibilityR01NS070583 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CROPPER, ELIZABETH C, WEISS, KLAUDIUSZ ROBERT · 2010 to 2020
$3.6M
Neural Basis of Behavior Priming: Induction and MemoryR01DA013330 · NIDA · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI VILIM, FERDINAND S · 2000 to 2009
$3.1M
NEUROTRANSMITTER RELEASER29NS031609 · NINDS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI SWEEDLER, JONATHAN V. · 1993 to 1997
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NIDA NIH HHS DA-13330NIDA NIH HHS P30 DA-018310NIDA NIH HHS P30 DA018310NIDA NIH HHS R01 DA013330NINDS NIH HHS NS-0070583NINDS NIH HHS NS-031609NINDS NIH HHS R01 NS031609NINDS NIH HHS R01 NS070583
6 · The paper itself

Abstract

Feedforward loops (FFLs) are one of many network motifs identified in a variety of complex networks, but their functional role in neural networks is not well understood. We provide evidence that combinatorial actions of multiple modulators may be organized as FFLs to promote a specific network state in the Aplysia feeding motor network. The Aplysia feeding central pattern generator (CPG) receives two distinct inputs-a higher-order interneuron cerebral-buccal interneuron-2 (CBI-2) and the esophageal nerve (EN)-that promote ingestive and egestive motor programs, respectively. EN stimulation elicits a persistent egestive network state, which enables the network to temporarily express egestive programs following a switch of input from the EN to CBI-2. Previous work showed that a modulatory CPG element, B65, is specifically activated by the EN and participates in establishing the egestive state by enhancing activity of egestion-promoting B20 interneurons while suppressing activity and synaptic outputs of ingestion-promoting B40 interneurons. Here a peptidergic contribution is mediated by small cardioactive peptide (SCP). Immunostaining and mass spectrometry show that SCP is present in the EN and is released on EN stimulation. Importantly, SCP directly enhances activity and synaptic outputs of B20 and suppresses activity and synaptic outputs of B40. Moreover, SCP promotes B65 activity. Thus the direct and indirect (through B65) pathways to B20 and B40 from SCPergic neurons constitute two FFLs with one functioning to promote egestive output and the other to suppress ingestive output. This composite FFL consisting of the two combined FFLs appears to be an effective means to co-regulate activity of two competing elements that do not inhibit each other, thereby contributing to establish specific network states.

Indexed as

AnimalsAplysiaElectrophysiological PhenomenaFeeding BehaviorInterneuronsModels, AnimalNerve Net

Identifiers

PMID20181731
PMCPMC2853268

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.