ArticleAdvances in experimental medicine and biology2022
Whole-Brain Modelling: Past, Present, and Future.
Article in Advances in experimental medicine and biology, 2022. 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.
- Macroscopic resting state model predicts theta burst stimulation response: A randomized trial.PLoS computational biology · 2023Trial
- Modeling the influences of non-local connectomic projections on geometrically constrained cortical dynamics.PLoS computational biology · 2026Article
- Neural population models for EEG: From Canonical models to alternative model structures.PLoS computational biology · 2026Article
- Developmental disinhibition gates language lateralization in childhood.Nature communications · 2026Article
- Emergence of multifrequency activity in a laminar neural mass model.PLoS computational biology · 2026Article
- Digital Twin Brain simulation and manipulation of a functional brain network underlying mental illness.bioRxiv : the preprint server for biology · 2026Article
- Toward Personalized Neuroscience: Evaluating Individual-Level Information in Neural Mass Models.Human brain mapping · 2025Article
- Stimulation mapping and whole-brain modeling reveal gradients of excitability and recurrence in cortical networks.Nature communications · 2025Article
- A comprehensive investigation of intracortical and corticothalamic models of the alpha rhythm.PLoS computational biology · 2025Article
- Dialogue mechanisms between astrocytic and neuronal networks: A whole-brain modelling approach.PLoS computational biology · 2025Article
- Secondary thalamic dysfunction underlies abnormal large-scale neural dynamics in chronic stroke.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Preparatory activity of anterior insula predicts conflict errors: integrating convolutional neural networks and neural mass models.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Whole-Brain Modelling is a scientific field with a short history and a long past. Its various disciplinary roots and conceptual ingredients extend back to as early as the 1940s. It was not until the late 2000s, however, that a nascent paradigm emerged in roughly its current form-concurrently, and in many ways joined at the hip, with its sister field of macro-connectomics. This period saw a handful of seminal papers authored by a certain motley crew of notable theoretical and cognitive neuroscientists, which have served to define much of the landscape of whole-brain modelling as it stands at the start of the 2020s. At the same time, the field has over the past decade expanded in a dozen or more fascinating new methodological, theoretical, and clinical directions. In this chapter we offer a potted Past, Present, and Future of whole-brain modelling, noting what we take to be some of its greatest successes, hardest challenges, and most exciting opportunities.
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Identifiers
35471545What Socratic 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 Socratic graph.