Copertina

Generative forecasting of brain activity enhances Alzheimer's classification and interpretation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gao, Yutong, Calhoun, Vince D., Miller, Robyn L.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Neurons and Cognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Mapping minds not averages: a scalable subject-specific manifold learning framework for neuroimaging data
di: Geenjaar, Eloy, et al.
Pubblicazione: (2025)

Cross-Modality Translation with Generative Adversarial Networks to Unveil Alzheimer's Disease Biomarkers
di: Hassanzadeh, Reihaneh, et al.
Pubblicazione: (2024)

Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks
di: Qu, Gang, et al.
Pubblicazione: (2024)

Riemannian Geometry for the classification of brain states with intracortical brain-computer interfaces
di: Marin-Llobet, Arnau, et al.
Pubblicazione: (2025)

Spectral Introspection Identifies Group Training Dynamics in Deep Neural Networks for Neuroimaging
di: Baker, Bradley T., et al.
Pubblicazione: (2024)

DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks
di: Thapaliya, Bishal, et al.
Pubblicazione: (2024)

Complex-valued Phase Synchrony Reveals Directional Coupling in FMRI and Tracks Medication Effects
di: Wiafe, Sir-Lord, et al.
Pubblicazione: (2025)

Ensemble-based graph representation of fMRI data for cognitive brain state classification
di: Vlasenko, Daniil, et al.
Pubblicazione: (2025)

HDGL: A hierarchical dynamic graph representation learning model for brain disorder classification
di: Jalali, Parnian, et al.
Pubblicazione: (2023)

Persistent Homological State-Space Estimation of Functional Human Brain Networks at Rest
di: Chung, Moo K., et al.
Pubblicazione: (2022)

Robust State-space Reconstruction of Brain Dynamics via Bootstrap Monte Carlo SSA
di: Wiafe, Sir-Lord, et al.
Pubblicazione: (2025)

Deep probabilistic model synthesis enables unified modeling of whole-brain neural activity across individual subjects
di: Bishop, William E., et al.
Pubblicazione: (2026)

EEG-to-fMRI synthesis of task-evoked and spontaneous brain activity: addressing issues of statistical significance and generalizability
di: Mehta, Neil, et al.
Pubblicazione: (2025)

Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data
di: Thapaliya, Bishal, et al.
Pubblicazione: (2023)

The Dynamics of Triple Interactions in Resting fMRI: Insights into Psychotic Disorders
di: Li, Qiang, et al.
Pubblicazione: (2024)

Correlation of Correlation Networks: High-Order Interactions in the Topology of Brain Networks
di: Li, Qiang, et al.
Pubblicazione: (2024)

Deep learning and whole-brain networks for biomarker discovery: modeling the dynamics of brain fluctuations in resting-state and cognitive tasks
di: Roffet, Facundo, et al.
Pubblicazione: (2024)

Mirror-Neuron Patterns in AI Alignment
di: Wyrick, Robyn
Pubblicazione: (2025)

Functional Correspondences in the Human and Marmoset Visual Cortex During Movie Watching: Insights from Correlation, Redundancy, and Synergy
di: Li, Qiang, et al.
Pubblicazione: (2025)

Transformer brain encoders explain human high-level visual responses
di: Adeli, Hossein, et al.
Pubblicazione: (2025)

A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds
di: Orlichenko, Anton, et al.
Pubblicazione: (2024)

Scaling and context steer LLMs along the same computational path as the human brain
di: Raugel, Joséphine, et al.
Pubblicazione: (2025)

Construction of a classification model for dementia among Brazilian adults aged 50 and over
di: Menezes, F. S., et al.
Pubblicazione: (2026)

Decoding non-invasive brain activity with novel deep-learning approaches
di: Csaky, Richard
Pubblicazione: (2025)

Machine learning-enhanced non-amnestic Alzheimer's disease diagnosis from MRI and clinical features
di: Witherow, Megan A., et al.
Pubblicazione: (2026)

Group-specific discriminant analysis reveals statistically validated sex differences in lateralization of brain functional network
di: Zhou, Shuo, et al.
Pubblicazione: (2024)

Analyzing heterogeneity in Alzheimer Disease using multimodal normative modeling on imaging-based ATN biomarkers
di: Kumar, Sayantan, et al.
Pubblicazione: (2024)

BrainNPT: Pre-training of Transformer networks for brain network classification
di: Hu, Jinlong, et al.
Pubblicazione: (2023)

A data-driven approach to modeling brain activity using differential equations
di: Andrey, Kuratov
Pubblicazione: (2024)

Compressed representation of brain genetic transcription
di: Ruffle, James K, et al.
Pubblicazione: (2023)

NeuroXVocal: Detection and Explanation of Alzheimer's Disease through Non-invasive Analysis of Picture-prompted Speech
di: Ntampakis, Nikolaos, et al.
Pubblicazione: (2025)

OPTIMUS: Predicting Multivariate Outcomes in Alzheimer's Disease Using Multi-modal Data amidst Missing Values
di: Diaz, Christelle Schneuwly, et al.
Pubblicazione: (2025)

Multi-modal Imaging Genomics Transformer: Attentive Integration of Imaging with Genomic Biomarkers for Schizophrenia Classification
di: Shaik, Nagur Shareef, et al.
Pubblicazione: (2024)

Multi-Scale Graph Theoretical Analysis of Resting-State fMRI for Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Healthy Controls
di: Khazaee, Ali, et al.
Pubblicazione: (2024)

Graph neural networks uncover structure and functions underlying the activity of simulated neural assemblies
di: Allier, Cédric, et al.
Pubblicazione: (2026)

Differentiable Optimization of Similarity Scores Between Models and Brains
di: Cloos, Nathan, et al.
Pubblicazione: (2024)

Determinantal Point Process Attention Over Grid Cell Code Supports Out of Distribution Generalization
di: Mondal, Shanka Subhra, et al.
Pubblicazione: (2023)

Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes
di: McCart, Jonathan D., et al.
Pubblicazione: (2024)

Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help
di: Han, Keqi, et al.
Pubblicazione: (2025)

Algebraic Connectivity Reveals Modulated High-Order Functional Networks in Alzheimer's Disease
di: Dolci, Giorgio, et al.
Pubblicazione: (2025)