ArticleHuman brain mapping2019
A concise and persistent feature to study brain resting-state network dynamics: Findings from the Alzheimer's Disease Neuroimaging Initiative.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Disrupted metabolic connectivity in dopaminergic and cholinergic networks at different stages of dementia fromScientific reports · 2021Trial
- Trial
- Resting-State and Task Functional Magnetic Resonance Imaging Network Topology Metrics With no Threshold Selection to Predict Cognition.Human brain mapping · 2026Article
- Node persistence from topological data analysis reveals changes in brain functional connectivity.Patterns (New York, N.Y.) · 2026Article
- Longitudinal evaluation of common and unique brain-networks in variants of primary progressive aphasia.Alzheimer's research & therapy · 2025Article
- Linking fast and slow: The case for generative models.Network neuroscience (Cambridge, Mass.) · 2024Review
- Persistent homology reveals robustness loss in inhaled substance abuse rs-fMRI networks.PloS one · 2024Article
- Persistent homology-based functional connectivity and its association with cognitive ability: Life-span study.Human brain mapping · 2023Article
- Application of data harmonization and tract-based spatial statistics reveals white matter structural abnormalities in pediatric patients with focal cortical dysplasia.Epilepsy & behavior : E&B · 2023Article
- Topological analysis of functional connectivity in Parkinson's disease.Frontiers in neuroscience · 2023Article
- Alterations via inter-regional connective relationships in Alzheimer's disease.Frontiers in human neuroscience · 2023Article
- A hands-on tutorial on network and topological neuroscience.Brain structure & function · 2022Review
- A Spatiotemporal Brain Network Analysis of Alzheimer's Disease Based on Persistent Homology.Frontiers in aging neuroscience · 2022Article
- Altered Frequency-Dependent Brain Activation and White Matter Integrity Associated With Cognition in Characterizing Preclinical Alzheimer's Disease Stages.Frontiers in human neuroscience · 2021Article
- Effect of APOE ε4 on multimodal brain connectomic traits: a persistent homology study.BMC bioinformatics · 2020Article
- White Matter Brain Network Research in Alzheimer's Disease Using Persistent Features.Molecules (Basel, Switzerland) · 2020Article
- Default Mode Network Analysis of APOE Genotype in Cognitively Unimpaired Subjects Based on Persistent Homology.Frontiers in aging neuroscience · 2020Article
- A UNIVARIATE PERSISTENT BRAIN NETWORK FEATURE BASED ON THE AGGREGATED COST OF CYCLES FROM THE NESTED FILTRATION NETWORKS.Proceedings. IEEE International Symposium on Biomedical Imaging · 2020Article
- Metabolic Brain Network Analysis of FDG-PET in Alzheimer's Disease Using Kernel-Based Persistent Features.Molecules (Basel, Switzerland) · 2019Article
- A concise and persistent feature to study brain resting-state network dynamics: Findings from the Alzheimer's Disease Neuroimaging Initiative.Human brain mapping · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Alzheimer's disease (AD) is the most common type of dementia in the elderly with no effective treatment currently. Recent studies of noninvasive neuroimaging, resting-state functional magnetic resonance imaging (rs-fMRI) with graph theoretical analysis have shown that patients with AD and mild cognitive impairment (MCI) exhibit disrupted topological organization in large-scale brain networks. In previous work, it is a common practice to threshold such networks. However, it is not only difficult to make a principled choice of threshold values, but also worse is the discard of potential important information. To address this issue, we propose a threshold-free feature by integrating a prior persistent homology-based topological feature (the zeroth Betti number) and a newly defined connected component aggregation cost feature to model brain networks over all possible scales. We show that the induced topological feature (Integrated Persistent Feature) follows a monotonically decreasing convergence function and further propose to use its slope as a concise and persistent brain network topological measure. We apply this measure to study rs-fMRI data from the Alzheimer's Disease Neuroimaging Initiative and compare our approach with five other widely used graph measures across five parcellation schemes ranging from 90 to 1,024 region-of-interests. The experimental results demonstrate that the proposed network measure shows more statistical power and stronger robustness in group difference studies in that the absolute values of the proposed measure of AD are lower than MCI and much lower than normal controls, providing empirical evidence for decreased functional integration in AD dementia and MCI.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.