ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2020
Analysing brain networks in population neuroscience: a case for the Bayesian philosophy.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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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Who cites it
14 citing papers in PubMed.
- An international mega-analysis of psychedelic drug effects on brain circuit function.Nature medicine · 2026Article
- Diversity-aware Population Models: Quantifying Associations between Socio-Spatial Factors and Cognitive Development in the ABCD Cohort.Research square · 2024Article
- Social belonging: brain structure and function is linked to membership in sports teams, religious groups, and social clubs.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Bayesian stroke modeling details sex biases in the white matter substrates of aphasia.Communications biology · 2023Article
- Social isolation is linked to classical risk factors of Alzheimer's disease-related dementias.PloS one · 2023Article
- Association of Stroke Lesion Pattern and White Matter Hyperintensity Burden With Stroke Severity and Outcome.Neurology · 2022Article
- Population heterogeneity in clinical cohorts affects the predictive accuracy of brain imaging.PLoS biology · 2022Article
- Loneliness is linked to specific subregional alterations in hippocampus-default network covariation.Journal of neurophysiology · 2021Article
- Connectivity alterations in autism reflect functional idiosyncrasy.Communications biology · 2021Article
- Dissecting the midlife crisis: disentangling social, personality and demographic determinants in social brain anatomy.Communications biology · 2021Article
- Decision Models and Technology Can Help Psychiatry Develop Biomarkers.Frontiers in psychiatry · 2021Review
- The default network of the human brain is associated with perceived social isolation.Nature communications · 2020Article
- Population variability in social brain morphology for social support, household size and friendship satisfaction.Social cognitive and affective neuroscience · 2020Article
- Unifying the essential concepts of biological networks: biological insights and philosophical foundations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
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3 authors.
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Abstract
Network connectivity fingerprints are among today's best choices to obtain a faithful sampling of an individual's brain and cognition. Widely available MRI scanners can provide rich information tapping into network recruitment and reconfiguration that now scales to hundreds and thousands of humans. Here, we contemplate the advantages of analysing such connectome profiles using Bayesian strategies. These analysis techniques afford full probability estimates of the studied network coupling phenomena, provide analytical machinery to separate epistemological uncertainty and biological variability in a coherent manner, usher us towards avenues to go beyond binary statements on existence versus non-existence of an effect, and afford credibility estimates around all model parameters at play which thus enable single-subject predictions with rigorous uncertainty intervals. We illustrate the brittle boundary between healthy and diseased brain circuits by autism spectrum disorder as a recurring theme where, we argue, network-based approaches in neuroscience will require careful probabilistic answers. This article is part of the theme issue 'Unifying the essential concepts of biological networks: biological insights and philosophical foundations'.
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