ArticleFrontiers in neuroscience2022
Tracing Evolving Networks Using Tensor Factorizations vs. ICA-Based Approaches.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- A Novel Chaos-inspired Artificial Intelligence-based Model for Keratoconus Prediction.Journal of ophthalmic & vision research · 2026Article
- Disentangling large-scale brain dynamics and their links to behavior during the emotional face matching task.Communications biology · 2025Article
- Probabilistic PARAFAC2.Entropy (Basel, Switzerland) · 2024Article
- Analyzing postprandial metabolomics data using multiway models: a simulation study.BMC bioinformatics · 2024Article
- Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis.IEEE access : practical innovations, open solutions · 2024Article
- Status of deep learning for EEG-based brain-computer interface applications.Frontiers in computational neuroscience · 2022Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Analysis of time-evolving data is crucial to understand the functioning of dynamic systems such as the brain. For instance, analysis of functional magnetic resonance imaging (fMRI) data collected during a task may reveal spatial regions of interest, and how they evolve during the task. However, capturing underlying spatial patterns as well as their change in time is challenging. The traditional approach in fMRI data analysis is to assume that underlying spatial regions of interest are static. In this article, using fractional amplitude of low-frequency fluctuations (fALFF) as an effective way to summarize the variability in fMRI data collected during a task, we arrange time-evolving fMRI data as a
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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.