Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
March 1, 2024Cerebral CortexOpen Access

Utilizing graph convolutional networks for identification of mild cognitive impairment from single modal fMRI data: a multiconnection pattern combination approach

View Full Paper
Ask AI
Bookmark
Share

Authors

JHJie HePWPeng WangJHJun He

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

He et al. (2024) studied this question.

synapsesocial.com/papers/68e765f0b6db6435876db39dhttps://doi.org/10.1093/cercor/bhae065
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Multiomics-based graph convolutional neural network for Alzheimer’s disease diagnosis and MCI progression prediction2025
  2. 2Predicting the Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using Graph Frequency Bands and Functional Connectivity-Based Features2024 · 1 citations
  3. 3Early Mild Cognitive Impairment Diagnosis via Resting-State fMRI Brain Networks Using a Region-Specific Hierarchical Fusion Graph Neural Network2026
  4. 4Recurrent Graph Attention over Longitudinal Brain Networks Predicts Conversion from Mild Cognitive Impairment to Alzheimer’s Disease2026
  5. 5MLC-GCN: Multi-Level Generated Connectome Based GCN for AD Detection2026