Image de couverture de livre

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Ruiying, Wang, Yutong, Zhou, Houliang, Liang, Wei, Chen, Yong, He, Lifang
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Spatio-Temporal Graph Deep Learning with Stochastic Differential Equations for Uncovering Alzheimer's Disease Progression
par: Zhou, Houliang, et autres
Publié: (2025)

Spectral Graph Neural Networks for Cognitive Task Classification in fMRI Connectomes
par: Maji, Debasis, et autres
Publié: (2025)

Hierarchical Spatio-Temporal State-Space Modeling for fMRI Analysis
par: Wei, Yuxiang, et autres
Publié: (2024)

Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape
par: Wei, Ziquan, et autres
Publié: (2025)

Aberrant Brain Entropy in Alzheimer's Disease: Evidence From a Resting‐State fMRI Study
par: Xuke Zhang, et autres
Publié: (2026)

Brain Effective Connectome based on fMRI and DTI Data: Bayesian Causal Learning and Assessment
par: Bagheri, Abdolmahdi, et autres
Publié: (2023)

Spatio-Temporal Field Neural Networks for Air Quality Inference
par: Feng, Yutong, et autres
Publié: (2024)

Localization of Seizure Onset Zone based on Spatio-Temporal Independent Component Analysis on fMRI
par: Sadjadi, Seyyed Mostafa, et autres
Publié: (2025)

Data-Efficient Neural Training with Dynamic Connectomes
par: Wu, Yutong, et autres
Publié: (2025)

BP-GPT: Auditory Neural Decoding Using fMRI-prompted LLM
par: Chen, Xiaoyu, et autres
Publié: (2025)

Open-vocabulary Auditory Neural Decoding Using fMRI-prompted LLM
par: Chen, Xiaoyu, et autres
Publié: (2024)

Alzheimers Disease Progression Prediction Based on Manifold Mapping of Irregularly Sampled Longitudinal Data
par: Hong, Xin, et autres
Publié: (2025)

Multimodal Deep Learning for Dynamic and Static Neuroimaging: Integrating MRI and fMRI for Alzheimer Disease Analysis
par: Kujur, Anima, et autres
Publié: (2026)

fMRI‐Complexity as a potential presymptomatic predictor of cognitive decline in Alzheimer's Disease
par: Kay Jann, et autres
Publié: (2025)

BrainCast: A Spatio-Temporal Forecasting Model for Whole-Brain fMRI Time Series Prediction
par: Gao, Yunlong, et autres
Publié: (2026)

A Survey of fMRI to Image Reconstruction
par: Guo, Weiyu, et autres
Publié: (2025)

ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing
par: Tew, Hwa Hui, et autres
Publié: (2025)

BOLD fMRI signal changes in preclinical Alzheimer’s disease
par: Stanislau Hrybouski, et autres
Publié: (2024)

BOLD fMRI signal changes in preclinical Alzheimer’s disease
par: Stanislau Hrybouski, et autres
Publié: (2024)

scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis
par: Huang, Yu-An, et autres
Publié: (2025)

fMRI-LM: Towards a Universal Foundation Model for Language-Aligned fMRI Understanding
par: Wei, Yuxiang, et autres
Publié: (2025)

NeuralDiffuser: Neuroscience-inspired Diffusion Guidance for fMRI Visual Reconstruction
par: Li, Haoyu, et autres
Publié: (2024)

Assessment of 7T task fMRI value over 3T task fMRI
par: Bermudez, Dalton H
Publié: (2025)

Omni-fMRI: A Universal Atlas-Free fMRI Foundation Model
par: Wang, Mo, et autres
Publié: (2026)

Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks
par: Qu, Gang, et autres
Publié: (2024)

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis
par: Hasan, Muhammad Asif, et autres
Publié: (2026)

Reduced Grid Cell‐Like fMRI Activity relates to Synaptic Biomarkers in Predementia Alzheimer's Disease
par: Jonas Alexander Jarholm, et autres
Publié: (2025)

Amygdala Novelty Responses, Depressive Symptoms, and Tau Pathology in Preclinical Alzheimer's Disease: An fMRI Investigation
par: Emrah Düzel, et autres
Publié: (2025)

A novel fMRI memory paradigm designed for brain imaging studies in early Alzheimer’s Disease
par: Himanshu Joshi, et autres
Publié: (2024)

A novel fMRI memory paradigm designed for brain imaging studies in early Alzheimer’s Disease
par: Himanshu Joshi, et autres
Publié: (2024)

From Photography to fMRI
par: Muhr, Paula
Publié: (2022)

Heterogeneous Temporal Hypergraph Neural Network
par: Liu, Huan, et autres
Publié: (2025)

Swin fMRI Transformer Predicts Early Neurodevelopmental Outcomes from Neonatal fMRI
par: Styll, Patrick, et autres
Publié: (2024)

Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data
par: Thapaliya, Bishal, et autres
Publié: (2023)

fMRI Exploration of Visual Quality Assessment
par: Zhang, Yiming, et autres
Publié: (2024)

VarCoNet : A Variability‐Aware Self‐Supervised Framework for Functional Connectome Extraction From Resting‐State fMRI
par: Charalampos Lamprou, et autres
Publié: (2026)

Dynamic Brain Behaviours in Stroke: A Longitudinal Investigation Based on fMRI Analysis
par: Wu, Kaichao, et autres
Publié: (2023)

Reverse the auditory processing pathway: Coarse-to-fine audio reconstruction from fMRI
par: Liu, Che, et autres
Publié: (2024)

Towards a general-purpose foundation model for fMRI analysis
par: Wang, Cheng, et autres
Publié: (2025)

Neuromodulation in Small Animal fMRI
par: Li‐Ming Hsu, et autres
Publié: (2024)