Anatomically Interpretable Brain Age Prediction in Alzheimer's Disease Using Graph Neural Networks

被引：0
|
作者：
Sihag, Saurabh [1 ]
Mateos, Gonzalo [2 ]
Ribeiro, Alejandro [1 ]
McMillan, Corey T. [1 ]
机构：
[1] Univ Penn, Philadelphia, PA USA
[2] Univ Rochester, Rochester, NY USA
来源：
ANNALS OF NEUROLOGY | 2023年 / 94卷
关键词：
D O I：
暂无
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
M233
引用
收藏
页码：S139 / S140
页数：2
相关论文
共 50 条
  • [41] Personalized Explanations for Early Diagnosis of Alzheimer's Disease Using Explainable Graph Neural Networks with Population Graphs
    Kim, So Yeon
    BIOENGINEERING-BASEL, 2023, 10 (06):
  • [42] Identifying discriminative features of brain network for prediction of Alzheimer's disease using graph theory and machine learning
    Karim, S. M. Shayez
    Fahad, Md Shah
    Rathore, R. S.
    FRONTIERS IN NEUROINFORMATICS, 2024, 18
  • [43] A Hybrid Model for Spatiotemporal Air Quality Prediction Based on Interpretable Neural Networks and a Graph Neural Network
    Ding, Huijuan
    Noh, Giseop
    ATMOSPHERE, 2023, 14 (12)
  • [44] Classification-Biased Apparent Brain Age for the Prediction of Alzheimer's Disease
    Varzandian, Ali
    Razo, Miguel Angel Sanchez
    Sanders, Michael Richard
    Atmakuru, Akhila
    Di Fatta, Giuseppe
    FRONTIERS IN NEUROSCIENCE, 2021, 15
  • [45] Multimodal Brain Connectomics-Based Prediction of Parkinson's Disease Using Graph Attention Networks
    Safai, Apoorva
    Vakharia, Nirvi
    Prasad, Shweta
    Saini, Jitender
    Shah, Apurva
    Lenka, Abhishek
    Pal, Pramod Kumar
    Ingalhalikar, Madhura
    FRONTIERS IN NEUROSCIENCE, 2022, 15
  • [46] FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer's Disease Analysis
    Li, Hengxin
    Shi, Xiaoshuang
    Zhu, Xiaofeng
    Wang, Shuihua
    Zhang, Zheng
    IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 7 (01): : 15 - 25
  • [47] Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks
    Li, Gaotang
    Duda, Marlena
    Zhang, Xiang
    Koutra, Danai
    Yan, Yujun
    PROCEEDINGS OF THE 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2023, 2023, : 1223 - 1234
  • [48] Alzheimer's disease: connecting findings from graph theoretical studies of brain networks
    Tijms, Betty M.
    Wink, Alle Meije
    de Haan, Willem
    van der Flier, Wiesje M.
    Stam, Cornelis J.
    Scheltens, Philip
    Barkhof, Frederik
    NEUROBIOLOGY OF AGING, 2013, 34 (08) : 2023 - 2036
  • [49] Predicting the functional state of protein kinases using interpretable graph neural networks
    Ravichandran, Ashwin
    Araque, Juan
    Lawson, John
    BIOPHYSICAL JOURNAL, 2022, 121 (03) : 321A - 321A
  • [50] Prediction of Alzheimer's disease using a measure of personal biological age
    Song, XW
    Mitnitski, AB
    Rockwood, K
    NEUROBIOLOGY OF AGING, 2004, 25 : S390 - S390
12345