ArticleFrontiers in aging neuroscience2020
Feature Selection and Combination of Information in the Functional Brain Connectome for Discrimination of Mild Cognitive Impairment and Analyses of Altered Brain Patterns.
Article in Frontiers in aging neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.
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
34 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- An ALE Meta-Analysis of Specific Functional MRI Studies on Subcortical Vascular Cognitive Impairment.Frontiers in neurology · 2021Pooled it
- Functional MRI-Specific Alterations in Executive Control Network in Mild Cognitive Impairment: An ALE Meta-Analysis.Frontiers in aging neuroscience · 2020Pooled it
- Multi-Site Theta-tACS Improves Memory and Language Performance and Associated Local and Remote Functional Connectivity in Mild Cognitive Impairment.CNS neuroscience & therapeutics · 2025Trial
- Effects of computerized cognitive training on structure‒function coupling and topology of multiple brain networks in people with mild cognitive impairment: a randomized controlled trial.Alzheimer's research & therapy · 2023Trial
- Trial
- The Impact of Denoising Approaches on the Relationship Between Alzheimer's Disease Diagnostic Status and Network Topology Measures.Human brain mapping · 2026Article
- Integrating functional network topology, synaptic density, and tau pathology to predict cognitive decline in amnestic mild cognitive impairment.Journal of neurology · 2026Article
- Altered Brain Function and Network Topology in Patients With Acromegaly: Resting-State fMRI Study of Networks Related to Cognitive and Emotional Processing.CNS neuroscience & therapeutics · 2026Article
- Evaluating topological and graph-theoretical approaches to extract complex multimodal brain connectivity patterns in multiple sclerosis.Health information science and systems · 2025Article
- Aberrant cerebral activity in patients with unruptured intracranial aneurysm: a resting-state functional MRI study.Brain structure & function · 2025Article
- A lightweight, end-to-end explainable, and generalized attention-based graph neural network model trained on high-order spatiotemporal organization of dynamic functional connectivity to classify autistics from typically developing.Network neuroscience (Cambridge, Mass.) · 2025Article
- Article
- Multimodal Classification Framework Based on Hypergraph Latent Relation for End-Stage Renal Disease Associated with Mild Cognitive Impairment.Bioengineering (Basel, Switzerland) · 2023Article
- The reconfiguration pattern of individual brain metabolic connectome for Parkinson's disease identification.MedComm · 2023Article
- Predicting sex, age, general cognition and mental health with machine learning on brain structural connectomes.Human brain mapping · 2023Article
- Brain disease research based on functional magnetic resonance imaging data and machine learning: a review.Frontiers in neuroscience · 2023Review
- Individual-specific networks for prediction modelling - A scoping review of methods.BMC medical research methodology · 2022Article
- Altered pattern analysis and identification of subjective cognitive decline based on morphological brain network.Frontiers in aging neuroscience · 2022Article
- Not Only in Sensorimotor Network: Local and Distant Cerebral Inherent Activity of Chronic Ankle Instability-A Resting-State fMRI Study.Frontiers in neuroscience · 2022Article
- Rich-Club Organization Disturbances of the Individual Morphological Network in Subjective Cognitive Decline.Frontiers in aging neuroscience · 2022Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mild cognitive impairment (MCI) is often considered a critical time window for predicting early conversion to Alzheimer's disease (AD). Brain functional connectome data (i.e., functional connections, global and nodal graph metrics) based on resting-state functional magnetic resonance imaging (rs-fMRI) provides numerous information about brain networks and has been used to discriminate normal controls (NCs) from subjects with MCI. In this paper, Student's
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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.