ArticleFrontiers in aging neuroscience2021
Morphological, Structural, and Functional Networks Highlight the Role of the Cortical-Subcortical Circuit in Individuals With Subjective Cognitive Decline.
Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 29 citations in OpenAlex.
- Similar minds age alike: an MRI similarity approach for predicting age-related cognitive decline.npj aging · 2026Article
- Structural connectome analysis using a graph-based deep model for prediction of non-imaging variables.Frontiers in neuroscience · 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
- Adaptive Frequency-Optimized Wavelet Networks for Early Detection of Subjective Cognitive Decline via Resting-State fMRI.Brain and behavior · 2025Article
- Structural Connectome Analysis using a Graph-based Deep Model for Prediction of Non-Imaging Variables.bioRxiv : the preprint server for biology · 2025Article
- Article
- Mapping Knowledge Landscapes and Emerging Trends in AI for Dementia Biomarkers: Bibliometric and Visualization Analysis.Journal of medical Internet research · 2024Article
- Toward diffusion tensor imaging as a biomarker in neurodegenerative diseases: technical considerations to optimize recordings and data processing.Frontiers in human neuroscience · 2024Review
- Morphologic brain network predicts levodopa responsiveness in Parkinson disease.Frontiers in aging neuroscience · 2022Article
- Altered pattern analysis and identification of subjective cognitive decline based on morphological brain network.Frontiers in aging neuroscience · 2022Article
- Research on the Mechanism of Cognitive Decline in Patients With Acoustic Neuroma.Frontiers in neuroscience · 2022Article
- Rich-Club Organization Disturbances of the Individual Morphological Network in Subjective Cognitive Decline.Frontiers in aging neuroscience · 2022Article
- Alterations in Cortical-Subcortical Metabolism in Temporal Lobe Epilepsy With Impaired Awareness Seizures.Frontiers in aging neuroscience · 2022Article
- Multi-Modal Neuroimaging Neural Network-Based Feature Detection for Diagnosis of Alzheimer's Disease.Frontiers in aging neuroscience · 2022Article
- Adaptive noise depression for functional brain network estimation.Frontiers in psychiatry · 2022Article
- Decreased Resting-State Functional Complexity in Elderly with Subjective Cognitive Decline.Entropy (Basel, Switzerland) · 2021Article
- Multiple Connection Pattern Combination From Single-Mode Data for Mild Cognitive Impairment Identification.Frontiers in cell and developmental biology · 2021Article
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Authors and funding
9 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Subjective cognitive decline (SCD) is considered the earliest stage of the clinical manifestations of the continuous progression of Alzheimer's Disease (AD). Previous studies have suggested that multimodal brain networks play an important role in the early diagnosis and mechanisms underlying SCD. However, most of the previous studies focused on a single modality, and lacked correlation analysis between different modal biomarkers and brain regions. In order to further explore the specific characteristic of the multimodal brain networks in the stage of SCD, 22 individuals with SCD and 20 matched healthy controls (HCs) were recruited in the present study. We constructed the individual morphological, structural and functional brain networks based on 3D-T1 structural magnetic resonance imaging (sMRI), diffusion tensor imaging (DTI) and resting-state functional magnetic resonance imaging (rs-fMRI), respectively. A
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