ArticleNetwork neuroscience (Cambridge, Mass.)2019
Connectome sorting by consensus clustering increases separability in group neuroimaging studies.
Article in Network neuroscience (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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
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Who cites it
6 citing papers in PubMed.
- Inter-individual alignment of multimodal brain networks with anatomical constraints.Network neuroscience (Cambridge, Mass.) · 2026Article
- Exploration of Key Genes Combining with Immune Infiltration Level andTumor Mutational Burden in Hepatocellular Carcinoma.Combinatorial chemistry & high throughput screening · 2024Article
- Community detection in brain connectomes with hybrid quantum computing.Scientific reports · 2023Article
- Connectome sorting by consensus clustering increases separability in group neuroimaging studies.Network neuroscience (Cambridge, Mass.) · 2019Article
- Metastable Resting State Brain Dynamics.Frontiers in computational neuroscience · 2019Article
- Clustering of the structures by using "snakes-&-dragons" approach, or correlation matrix as a signal.PloS one · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A fundamental challenge in preprocessing pipelines for neuroimaging datasets is to increase the signal-to-noise ratio for subsequent analyses. In the same line, we suggest here that the application of the consensus clustering approach to brain connectivity matrices can be a valid additional step for
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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.