ReviewThe European journal of neuroscience2025
Resting-State Functional MRI Analyses for Brain Activity Characterization: A Narrative Review of Features and Methods.
Review in The European journal of neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
The trial behind it
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
7 citing papers in PubMed.
- Dynamic functional connectivity variability may explain hypoxia-induced cognitive impairment at high-altitude.iScience · 2026Article
- Contrastive and Transfer Learning for Aligned Multimodal Neuroimaging Classification of Autism Spectrum Disorder.Journal of imaging · 2026Article
- Multi-metric resting-state fMRI reveals brain network abnormalities underlying cognitive impairment in male patients during methamphetamine abstinence.BMC psychiatry · 2026Article
- Resting-state functional connectivity and cognitive impairment after COVID-19 infection: Evidence from a large-scale fMRI study.European psychiatry : the journal of the Association of European Psychiatrists · 2026Article
- Central nervous system adaptation mechanism of obesity induced by high-fat high-sucrose diet: Differences in brain function between obese and obese resistant rats based on fMRI.Metabolism open · 2026Article
- Neural mechanisms of cough: insights from multimodal magnetic resonance imaging-a narrative review.Journal of thoracic disease · 2026Review
- Resting-State Functional MRI Analyses for Brain Activity Characterization: A Narrative Review of Features and Methods.The European journal of neuroscience · 2025Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Resting-state fMRI (rsfMRI) is a widely used neuroimaging technique that measures spontaneous fluctuations in brain activity in the absence of specific external cognitive, motor, emotional, and sensory tasks or stimuli, based on the blood-oxygen-level-dependent (BOLD) signal. Functional connectivity (FC) is a popular rsfMRI analysis examining BOLD signal correlations between brain regions. Nevertheless, there are alternative analyses that provide different but collectively informative characteristics of the BOLD signal and, thus, brain activity. This narrative review aimed to provide a comprehensive conceptual, mathematical, and significance investigation of common rsfMRI analyses in addition to FC. To achieve this, a narrative review was conducted on studies using the most common rsfMRI analysis to investigate global and local brain activity. Five rsfMRI analyses were described, summarizing the common initial steps of rsfMRI data processing and explaining the main characteristics and how each metric is calculated. The rsfMRI analyses described are (1) FC, reflecting BOLD global connectivity; (2) the amplitude of low-frequency fluctuations (ALFF) and fractional ALFF (fALFF), representing the intensity of the BOLD signal; (3) regional homogeneity (ReHo), which reflects BOLD local connectivity; (4) Hurst exponent (H), depicting autocorrelation of the BOLD signal; and (5) entropy, depicting the BOLD signal predictability. As rsfMRI is a vital tool for exploring brain function, selecting an analysis that aligns with the research question is essential. This review offers an initial catalog of standard rsfMRI analyses, highlighting their key features, concepts, and considerations to support informed decisions by researchers and clinicians.
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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.