Evidence map›Paper›PMID 32645299›Full record

ArticleNeuron2020

A Causal Network Analysis of Neuromodulation in the Mood Processing Network.

Shaoyu Qiao, J Isaac Sedillo, Kevin A Brown, Breonna Ferrentino, Bijan Pesaran

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuron, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 14% 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, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
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  11. Landscape Perception Identification and Classification Based on Electroencephalogram (EEG) Features.International journal of environmental research and public health · 2022
    Article
  12. Review
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  14. Theory of neuronal perturbome in cortical networks.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Shaoyu QiaoCenter for Neural Science, New York University, New York, NY 10003, USA.
J Isaac SedilloCenter for Neural Science, New York University, New York, NY 10003, USA.
Kevin A BrownCenter for Neural Science, New York University, New York, NY 10003, USA.
Breonna FerrentinoCenter for Neural Science, New York University, New York, NY 10003, USA.
Bijan PesaranCenter for Neural Science, New York University, New York, NY 10003, USA; Neuroscience Institute, New York University Langone Health, New York, NY 10016, USA; Department of Neurology, New York University Langone Health, New York, NY 10016, USA. Electronic address: bijan@nyu.edu.
New York University · USNYU Langone Health · US

Funding

Predictive models of brain dynamics during decision making and their validation using distributed optogenetic stimulationR01NS104923 · NINDS · NEW YORK UNIVERSITY · PI KIANI, ROOZBEH · 2017 to 2021
$3.5M
NINDS NIH HHS R01 NS104923
6 · The paper itself

Abstract

Neural decoding and neuromodulation technologies hold great promise for treating mood and other brain disorders in next-generation therapies that manipulate functional brain networks. Here we perform a novel causal network analysis to decode multiregional communication in the primate mood processing network and determine how neuromodulation, short-burst tetanic microstimulation (sbTetMS), alters multiregional network communication. The causal network analysis revealed a mechanism of network excitability that regulates when a sender stimulation site communicates with receiver sites. Decoding network excitability from neural activity at modulator sites predicted sender-receiver communication, whereas sbTetMS neuromodulation temporarily disrupted sender-receiver communication. These results reveal specific network mechanisms of multiregional communication and suggest a new generation of brain therapies that combine neural decoding to predict multiregional communication with neuromodulation to disrupt multiregional communication.

Indexed as

Models, NeurologicalAffectAlgorithmsAnimalsBrainElectric StimulationMacaca mulattaNerve Netcausal network analysismodulator decodingmultiregional communicationnetwork edge neuromodulationnetwork excitability

Identifiers

PMID32645299
PMCPMC7486259
OpenAlexW3041298968

What OpenQuestion holds

Textmetadata
LicenceTDM
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.