Dynamic Structural Brain Network Construction by Hierarchical Prototype Embedding GCN using T1-MRI

05/17/2023
by   Yilin Leng, et al.
0

Constructing structural brain networks using T1-weighted magnetic resonance imaging (T1-MRI) presents a significant challenge due to the lack of direct regional connectivity information. Current methods with T1-MRI rely on predefined regions or isolated pretrained location modules to obtain atrophic regions, which neglects individual specificity. Besides, existing methods capture global structural context only on the whole-image-level, which weaken correlation between regions and the hierarchical distribution nature of brain connectivity.We hereby propose a novel dynamic structural brain network construction method based on T1-MRI, which can dynamically localize critical regions and constrain the hierarchical distribution among them for constructing dynamic structural brain network. Specifically, we first cluster spatially-correlated channel and generate several critical brain regions as prototypes. Further, we introduce a contrastive loss function to constrain the prototypes distribution, which embed the hierarchical brain semantic structure into the latent space. Self-attention and GCN are then used to dynamically construct hierarchical correlations of critical regions for brain network and explore the correlation, respectively. Our method is evaluated on ADNI-1 and ADNI-2 databases for mild cognitive impairment (MCI) conversion prediction, and acheive the state-of-the-art (SOTA) performance. Our source code is available at http://github.com/*******.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/17/2019

Brain Network Construction and Classification Toolbox (BrainNetClass)

Brain functional network has become an increasingly used approach in und...
research
05/06/2023

Transformer-Based Hierarchical Clustering for Brain Network Analysis

Brain networks, graphical models such as those constructed from MRI, hav...
research
12/01/2017

A Novel Brain Decoding Method: a Correlation Network Framework for Revealing Brain Connections

Brain decoding is a hot spot in cognitive science, which focuses on reco...
research
08/03/2021

Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI

Brain age estimation based on magnetic resonance imaging (MRI) is an act...
research
10/17/2019

Estimating Spatially-Smoothed Fiber Orientation Distribution

Diffusion-weighted magnetic resonance imaging (D-MRI) is an in-vivo and ...
research
04/01/2021

Identifying brain hierarchical structures associated with Alzheimer's disease using a regularized regression method with tree predictors

Brain segmentation at different levels is generally represented as hiera...
research
06/22/2022

Analyzing Brain Structural Connectivity as Continuous Random Functions

This work considers a continuous framework to characterize the populatio...

Please sign up or login with your details

Forgot password? Click here to reset