ArticleeLife2023
Circular and unified analysis in network neuroscience.
Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
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.
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Who cites it
10 citing papers in PubMed.
- Neuromorphic hierarchical modular reservoirs.Nature communications · 2026Article
- Arousal state alters brain network switching and moderates cognitive task performance.bioRxiv : the preprint server for biology · 2026Article
- The interconnected wirings between medial prefrontal cortex and claustrum and their governing roles in the methamphetamine reward memory in male mice.Nature communications · 2026Article
- Unifying equivalences across unsupervised learning, network science, and imaging/network neuroscience.ArXiv · 2025Article
- Revealing non-trivial information structures in aneural biological tissues via functional connectivity.PLoS computational biology · 2025Article
- Distinctions between brain structure, complexity, and function. Comment on "Does the brain behave like a (complex) network? I. Dynamics" by Papo and Buldú.Physics of life reviews · 2024Article
- Functional and structural reorganization in brain tumors: a machine learning approach using desynchronized functional oscillations.Communications biology · 2024Article
- Adaptive rewiring: a general principle for neural network development.Frontiers in network physiology · 2024Review
- Unbiased and efficient sampling of timeseries reveals redundancy of brain network and gradient structure.NeuroImage · 2023Article
- Time-resolved correlation of distributed brain activity tracks E-I balance and accounts for diverse scale-free phenomena.Cell reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Genuinely new discovery transcends existing knowledge. Despite this, many analyses in systems neuroscience neglect to test new speculative hypotheses against benchmark empirical facts. Some of these analyses inadvertently use circular reasoning to present existing knowledge as new discovery. Here, I discuss that this problem can confound key results and estimate that it has affected more than three thousand studies in network neuroscience over the last decade. I suggest that future studies can reduce this problem by limiting the use of speculative evidence, integrating existing knowledge into benchmark models, and rigorously testing proposed discoveries against these models. I conclude with a summary of practical challenges and recommendations.
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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.