ArticleAlcoholism, clinical and experimental research2013
Graphs of brain networks.
Article in Alcoholism, clinical and experimental research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- A New Method on Construction of Brain Effective Connectivity Based on Functional Magnetic Resonance Imaging.Computational and mathematical methods in medicine · 2022Article
- Changes in nonhuman primate brain function following chronic alcohol consumption in previously naïve animals.Drug and alcohol dependence · 2017Article
- Decreased Subcortical and Increased Cortical Degree Centrality in a Nonclinical College Student Sample with Subclinical Depressive Symptoms: A Resting-State fMRI Study.Frontiers in human neuroscience · 2016Article
Corrections and comments
- Comment on
Authors and funding
1 author.
Funding
Abstract
backgroundThis commentary discusses the study by Telesford and colleagues in which they use network science to analyze resting state functional magnetic resonance imaging (rsfMRI) data collected in nonhuman primates.
methodsTheir findings using a network science approach in nonhuman primates are considered in the context of results from human studies.
resultsThe network science approach to analyzing rsfMRI data from nonhuman primates yields results that are, for the most part, similar to results using alternative analyses methods in human studies.
conclusionsNetwork science to analyze rsfMRI may promote a better understanding of the brain as a complex system.
Indexed as
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What OpenQuestion holds
Registered trials
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.