ArticleFrontiers in network physiology2022
What Models and Tools can Contribute to a Better Understanding of Brain Activity?
Article in Frontiers in network physiology, 2022. 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.
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Who cites it
10 citing papers in PubMed.
- Biological detail and graph structure in network neuroscience.Frontiers in network physiology · 2025Review
- Editorial: Reviews in networks in the brain system.Frontiers in network physiology · 2024Article
- A statistical analysis method for probability distributions in Erdös-Rényi random networks with preferential cutting-rewiring operation.Frontiers in network physiology · 2024Article
- Connectivity Analysis in EEG Data: A Tutorial Review of the State of the Art and Emerging Trends.Bioengineering (Basel, Switzerland) · 2023Review
- Global nonlinear approach for mapping parameters of neural mass models.PLoS computational biology · 2023Article
- The time-evolving epileptic brain network: concepts, definitions, accomplishments, perspectives.Frontiers in network physiology · 2023Review
- Impact of biological rhythms on the importance hierarchy of constituents in time-dependent functional brain networks.Frontiers in network physiology · 2023Article
- Dynamic networks of cortico-muscular interactions in sleep and neurodegenerative disorders.Frontiers in network physiology · 2023Article
- Global search metaheuristics for neural mass model calibration.Imaging neuroscience (Cambridge, Mass.)Article
- Dynamics-informed priors (DIP) for neural mass modelling.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite impressive scientific advances in understanding the structure and function of the human brain, big challenges remain. A deep understanding of healthy and aberrant brain activity at a wide range of temporal and spatial scales is needed. Here we discuss, from an interdisciplinary network perspective, the advancements in physical and mathematical modeling as well as in data analysis techniques that, in our opinion, have potential to further advance our understanding of brain structure and function.
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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.