ArticleProceedings of the National Academy of Sciences of the United States of America2023
The adaptive stochasticity hypothesis: Modeling equifinality, multifinality, and adaptation to adversity.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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.
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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
12 citing papers in PubMed.
- Heterochronicity shapes brain network formation.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Poverty and caregiver mental health are related to infant and toddler resting-state brain networks: insights from fNIRS.Neurophotonics · 2026Article
- Development and Piloting of Co.Ge.: A Web-Based Digital Platform for Generative and Clinical Cognitive Assessment.Journal of personalized medicine · 2025Article
- Trauma-predictive brain network connectivity adaptively responds to mild acute stress.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Volatility-driven learning in human infants.Science advances · 2025Article
- Coming up short: Generative network models fail to accurately capture long-range connectivity.Network neuroscience (Cambridge, Mass.) · 2025Article
- Brain wiring economics, network organisation and population-level genomics.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Stochasticity in genetics and gene regulation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- A generative model of the connectome with dynamic axon growth.bioRxiv : the preprint server for biology · 2024Article
- A generative model of the connectome with dynamic axon growth.Network neuroscience (Cambridge, Mass.) · 2024Article
- The adaptive stochasticity hypothesis: Modeling equifinality, multifinality, and adaptation to adversity.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Neural phenotypes are the result of probabilistic developmental processes. This means that stochasticity is an intrinsic aspect of the brain as it self-organizes over a protracted period. In other words, while both genomic and environmental factors shape the developing nervous system, another significant-though often neglected-contributor is the randomness introduced by probability distributions. Using generative modeling of brain networks, we provide a framework for probing the contribution of stochasticity to neurodevelopmental diversity. To mimic the prenatal scaffold of brain structure set by activity-independent mechanisms, we start our simulations from the medio-posterior neonatal rich club (Developing Human Connectome Project,
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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.