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June 21, 2024Open Access

Predicting the Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using Graph Frequency Bands and Functional Connectivity-Based Features

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Authors

JZJafar ZamaniAJAlireza Talesh Jafadideh

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Cite This Study

Zamani et al. (2024) studied this question.

synapsesocial.com/papers/68e63d09b6db6435875ceb6chttps://doi.org/10.21203/rs.3.rs-4549428/v1
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Also Consider

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

  1. 1Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning2024 · 6 citations
  2. 2Prediction Of Mild Cognitive Impairment to Alzheimer’s Disease Conversion Via Machine Learning2024
  3. 3Automatic diagnosis of mild cognitive impairment using electroencephalogram spectral features2016 · 94 citations
  4. 4Predicting Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Using K-Means Clustering on MRI Data2024 · 3 citations
  5. 5Predicting Mild Cognitive Impairment to Alzheimer's Disease Progression by Explainable Multi‐Modal Framework Using Deep and Machine Learning Hybrid Model2026