Identifying Neural Signatures from fMRI using Hybrid Principal Components Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Rieck, Jared, Wrobel, Julia, Gowin, Joshua L., Wang, Yue, Paulus, Martin, Peterson, Ryan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Calibrated Principal Component Regression
by: Wu, Yixuan Florence, et al.
Published: (2025)
by: Wu, Yixuan Florence, et al.
Published: (2025)
Spectral Graph Neural Networks for Cognitive Task Classification in fMRI Connectomes
by: Maji, Debasis, et al.
Published: (2025)
by: Maji, Debasis, et al.
Published: (2025)
MIRAGE: Adaptive Multimodal Gating for Whole-Brain fMRI Encoding
by: Gokce, Abdulkadir, et al.
Published: (2026)
by: Gokce, Abdulkadir, et al.
Published: (2026)
Highly Adaptive Principal Component Regression
by: Wang, Mingxun, et al.
Published: (2026)
by: Wang, Mingxun, et al.
Published: (2026)
FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis
by: Duan, Peiyu, et al.
Published: (2026)
by: Duan, Peiyu, et al.
Published: (2026)
Swin fMRI Transformer Predicts Early Neurodevelopmental Outcomes from Neonatal fMRI
by: Styll, Patrick, et al.
Published: (2024)
by: Styll, Patrick, et al.
Published: (2024)
fMRI2GES: Co-speech Gesture Reconstruction from fMRI Signal with Dual Brain Decoding Alignment
by: Zhu, Chunzheng, et al.
Published: (2025)
by: Zhu, Chunzheng, et al.
Published: (2025)
Generative Principal Component Regression via Variational Inference
by: Talbot, Austin, et al.
Published: (2024)
by: Talbot, Austin, et al.
Published: (2024)
Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks
by: Qu, Gang, et al.
Published: (2024)
by: Qu, Gang, et al.
Published: (2024)
Isolating Nonlinear Independent Sources in fMRI with $β$-TCVAE Models
by: Li, Qiang, et al.
Published: (2026)
by: Li, Qiang, et al.
Published: (2026)
Causality-based Subject and Task Fingerprints using fMRI Time-series Data
by: Song, Dachuan, et al.
Published: (2024)
by: Song, Dachuan, et al.
Published: (2024)
Nonlocal operator learning for fMRI encoding and decoding tasks
by: Kramer, Andreas, et al.
Published: (2026)
by: Kramer, Andreas, et al.
Published: (2026)
Comparing and Scaling fMRI Features for Brain-Behavior Prediction
by: Sieler, Mikkel Schöttner, et al.
Published: (2025)
by: Sieler, Mikkel Schöttner, et al.
Published: (2025)
TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction
by: d'Ascoli, Stéphane, et al.
Published: (2025)
by: d'Ascoli, Stéphane, et al.
Published: (2025)
Interpretable Cross-Network Attention for Resting-State fMRI Representation Learning
by: Singh, Karanpartap, et al.
Published: (2026)
by: Singh, Karanpartap, et al.
Published: (2026)
Adaptive Principal Component Regression with Applications to Panel Data
by: Agarwal, Anish, et al.
Published: (2023)
by: Agarwal, Anish, et al.
Published: (2023)
Towards Zero-Shot Task-Generalizable Learning on fMRI
by: Wang, Jiyao, et al.
Published: (2025)
by: Wang, Jiyao, et al.
Published: (2025)
Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI
by: Doodipala, Ruthwik Reddy, et al.
Published: (2026)
by: Doodipala, Ruthwik Reddy, et al.
Published: (2026)
SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease
by: Chen, Ruiying, et al.
Published: (2026)
by: Chen, Ruiying, et al.
Published: (2026)
A Dual-Attention Graph Network for fMRI Data Classification
by: Arbab, Amirali, et al.
Published: (2025)
by: Arbab, Amirali, et al.
Published: (2025)
Hierarchical Spatio-Temporal State-Space Modeling for fMRI Analysis
by: Wei, Yuxiang, et al.
Published: (2024)
by: Wei, Yuxiang, et al.
Published: (2024)
Riemannian geometry meets fMRI: the advantages of modeling correlation manifolds and eigenvector subspaces
by: Severino, Mario, et al.
Published: (2026)
by: Severino, Mario, et al.
Published: (2026)
BLEG: LLM Functions as Powerful fMRI Graph-Enhancer for Brain Network Analysis
by: Dong, Rui, et al.
Published: (2026)
by: Dong, Rui, et al.
Published: (2026)
Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data
by: Vidya, Suryansh, et al.
Published: (2024)
by: Vidya, Suryansh, et al.
Published: (2024)
Principal Components for Neural Network Initialization
by: Phan, Nhan, et al.
Published: (2025)
by: Phan, Nhan, et al.
Published: (2025)
Graphical Structural Learning of rs-fMRI data in Heavy Smokers
by: Gong, Yiru, et al.
Published: (2024)
by: Gong, Yiru, et al.
Published: (2024)
Resting-state fMRI Analysis using Quantum Time-series Transformer
by: Park, Junghoon Justin, et al.
Published: (2025)
by: Park, Junghoon Justin, et al.
Published: (2025)
A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds
by: Orlichenko, Anton, et al.
Published: (2024)
by: Orlichenko, Anton, et al.
Published: (2024)
SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis
by: González, Camila, et al.
Published: (2024)
by: González, Camila, et al.
Published: (2024)
Towards a general-purpose foundation model for fMRI analysis
by: Wang, Cheng, et al.
Published: (2025)
by: Wang, Cheng, et al.
Published: (2025)
Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG
by: Guo, Hanning, et al.
Published: (2026)
by: Guo, Hanning, et al.
Published: (2026)
Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification
by: Xun, Yue, et al.
Published: (2025)
by: Xun, Yue, et al.
Published: (2025)
Efficient 4D fMRI ASD Classification using Spatial-Temporal-Omics-based Learning Framework
by: Weng, Ziqiao, et al.
Published: (2025)
by: Weng, Ziqiao, et al.
Published: (2025)
Personalized Federated Dictionary Learning for Modeling Heterogeneity in Multi-site fMRI Data
by: Zhang, Yipu, et al.
Published: (2025)
by: Zhang, Yipu, et al.
Published: (2025)
Ensemble-based graph representation of fMRI data for cognitive brain state classification
by: Vlasenko, Daniil, et al.
Published: (2025)
by: Vlasenko, Daniil, et al.
Published: (2025)
NeuroLIP: Interpretable and Fair Cross-Modal Alignment of fMRI and Phenotypic Text
by: Yang, Yanting, et al.
Published: (2025)
by: Yang, Yanting, et al.
Published: (2025)
Reconstructing physiological signals from fMRI across the adult lifespan
by: Wang, Shiyu, et al.
Published: (2024)
by: Wang, Shiyu, et al.
Published: (2024)
Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data
by: Thapaliya, Bishal, et al.
Published: (2023)
by: Thapaliya, Bishal, et al.
Published: (2023)
Generative AI-based closed-loop fMRI system
by: Kasahara, Mikihiro, et al.
Published: (2024)
by: Kasahara, Mikihiro, et al.
Published: (2024)
Machine Learning-based Estimation of Respiratory Fluctuations in a Healthy Adult Population using BOLD fMRI and Head Motion Parameters
by: Addeh, Abdoljalil, et al.
Published: (2024)
by: Addeh, Abdoljalil, et al.
Published: (2024)
Similar Items
-
Calibrated Principal Component Regression
by: Wu, Yixuan Florence, et al.
Published: (2025) -
Spectral Graph Neural Networks for Cognitive Task Classification in fMRI Connectomes
by: Maji, Debasis, et al.
Published: (2025) -
MIRAGE: Adaptive Multimodal Gating for Whole-Brain fMRI Encoding
by: Gokce, Abdulkadir, et al.
Published: (2026) -
Highly Adaptive Principal Component Regression
by: Wang, Mingxun, et al.
Published: (2026) -
FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis
by: Duan, Peiyu, et al.
Published: (2026)