ArticleJournal of neuroscience methods2012
Automated cognome construction and semi-automated hypothesis generation.
Article in Journal of neuroscience methods, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Evidence for domain-general arousal from semantic and neuroimaging meta-analyses reconciles opposing views on arousal.Proceedings of the National Academy of Sciences of the United States of America · 2025Pooled it
- Automated meta-analysis of the event-related potential (ERP) literature.Scientific reports · 2022Pooled it
- InterFeat: a pipeline for finding interesting scientific features.Scientific reports · 2026Article
- Automating the practice of science: Opportunities, challenges, and implications.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- What's next? Forecasting scientific research trends.Heliyon · 2024Article
- Towards a biologically annotated brain connectome.Nature reviews. Neuroscience · 2023Review
- neuromaps: structural and functional interpretation of brain maps.Nature methods · 2022Article
- The data science future of neuroscience theory.Nature methods · 2022Article
- A data-driven framework for mapping domains of human neurobiology.Nature neuroscience · 2021Article
- The Virtuous Cycle of a Data Ecosystem.PLoS computational biology · 2016Article
- LinkRbrain: multi-scale data integrator of the brain.Journal of neuroscience methods · 2015Article
- Health Neuroscience: Defining a New Field.Current directions in psychological science · 2014Article
- Graphical neuroimaging informatics: application to Alzheimer's disease.Brain imaging and behavior · 2014Article
- Application and evaluation of automated methods to extract neuroanatomical connectivity statements from free text.Bioinformatics (Oxford, England) · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Modern neuroscientific research stands on the shoulders of countless giants. PubMed alone contains more than 21 million peer-reviewed articles with 40-50,000 more published every month. Understanding the human brain, cognition, and disease will require integrating facts from dozens of scientific fields spread amongst millions of studies locked away in static documents, making any such integration daunting, at best. The future of scientific progress will be aided by bridging the gap between the millions of published research articles and modern databases such as the Allen brain atlas (ABA). To that end, we have analyzed the text of over 3.5 million scientific abstracts to find associations between neuroscientific concepts. From the literature alone, we show that we can blindly and algorithmically extract a "cognome": relationships between brain structure, function, and disease. We demonstrate the potential of data-mining and cross-platform data-integration with the ABA by introducing two methods for semi-automated hypothesis generation. By analyzing statistical "holes" and discrepancies in the literature we can find understudied or overlooked research paths. That is, we have added a layer of semi-automation to a part of the scientific process itself. This is an important step toward fundamentally incorporating data-mining algorithms into the scientific method in a manner that is generalizable to any scientific or medical field.
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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.