Evidence map›Paper›PMID 34746621›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2021

Toward an information theoretical description of communication in brain networks.

Enrico Amico, Kausar Abbas, Duy Anh Duong-Tran, Uttara Tipnis, Meenusree Rajapandian, Evgeny Chumin, Mario Ventresca, Jaroslaw Harezlak, Joaquín Goñi

Abstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Gene-Modulated Network Diffusion for Improved Modeling of Amyloid-bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Characterizing Amyloid Pathogenic Spread in Alzheimer's Disease Through A Network Diffusion Model.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2025
    Article
  5. Causality-based Subject and Task Fingerprints using fMRI Time-series Data.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2024
    Article
  6. Article
  7. Caudal and Thalamic Segregation in White Matter Brain Network Communities in Alzheimer's Disease Population.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2024
    Article
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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

9 authors.

Enrico AmicoInstitute of Bioengineering, Center for Neuroprosthetics, EPFL, Geneva, Switzerland.
Kausar AbbasPurdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA.
Duy Anh Duong-TranSchool of Industrial Engineering, Purdue University, West Lafayette, IN, USA.
Uttara TipnisPurdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA.
Meenusree RajapandianSchool of Industrial Engineering, Purdue University, West Lafayette, IN, USA.
Evgeny ChuminPsychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
Mario VentrescaSchool of Industrial Engineering, Purdue University, West Lafayette, IN, USA.
Jaroslaw HarezlakDepartment of Epidemiology and Biostatistics, Indiana University, Bloomington, IN, USA.
Joaquín GoñiPurdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA.

Funding

Translational Research and Science Education (OUT)P60AA007611 · NIAAA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI DAVID A. KAREKEN · 2003 to 2026
$45.5M
Statistical models for multi-modal brain imaging studies of HIV-associated cognitive declineR01MH108467 · NIMH · INDIANA UNIVERSITY INDIANAPOLIS · PI HAREZLAK, JAROSLAW · 2015 to 2019
$2.0M
Integrative Bioinformatics Approaches to Human Brain Genomics and ConnectomicsR01EB022574 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI SHEN, LI · 2016 to 2019
$1.9M
NIAAA NIH HHS P60 AA007611NIBIB NIH HHS R01 EB022574NIMH NIH HHS R01 MH108467
6 · The paper itself

Abstract

Modeling communication dynamics in the brain is a key challenge in network neuroscience. We present here a framework that combines two measurements for any system where different communication processes are taking place on top of a fixed structural topology: path processing score (PPS) estimates how much the brain signal has changed or has been transformed between any two brain regions (source and target); path broadcasting strength (PBS) estimates the propagation of the signal through edges adjacent to the path being assessed. We use PPS and PBS to explore communication dynamics in large-scale brain networks. We show that brain communication dynamics can be divided into three main "communication regimes" of information transfer:

Indexed as

Brain connectomicsBrain networksCommunication regimesHuman connectomeInformation theory

Identifiers

PMID34746621
PMCPMC8567835

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.