Zobrazeno 1 - 10
of 36 151
pro vyhledávání: '"Calhoun, A."'
Causal reasoning is often challenging with spatial data, particularly when handling high-dimensional inputs. To address this, we propose a neural network (NN) based framework integrated with an approximate Gaussian process to manage spatial interfere
Externí odkaz:
http://arxiv.org/abs/2412.04285
To understand collective network behavior in the complex human brain, pairwise correlation networks alone are insufficient for capturing the high-order interactions that extend beyond pairwise interactions and play a crucial role in brain network dyn
Externí odkaz:
http://arxiv.org/abs/2411.00992
The human brain dynamically integrated and configured information to adapt to the environment. To capture these changes over time, dynamic second-order functional connectivity was typically used to capture transient brain patterns. However, dynamic s
Externí odkaz:
http://arxiv.org/abs/2411.00982
Understanding the relationship between cognition and intrinsic brain activity through purely data-driven approaches remains a significant challenge in neuroscience. Resting-state functional magnetic resonance imaging (rs-fMRI) offers a non-invasive m
Externí odkaz:
http://arxiv.org/abs/2410.23515
Modern scientific simulations generate massive volumes of data, creating significant challenges for I/O and storage systems. Error-bounded lossy compression (EBLC) offers a solution by reducing dataset sizes while preserving data quality within user-
Externí odkaz:
http://arxiv.org/abs/2410.23497
Different brain imaging modalities offer unique insights into brain function and structure. Combining them enhances our understanding of neural mechanisms. Prior multimodal studies fusing functional MRI (fMRI) and structural MRI (sMRI) have shown the
Externí odkaz:
http://arxiv.org/abs/2410.19774
Multimodal neuroimaging modeling has becomes a widely used approach but confronts considerable challenges due to heterogeneity, which encompasses variability in data types, scales, and formats across modalities. This variability necessitates the depl
Externí odkaz:
http://arxiv.org/abs/2408.14254
Recent advances in deep learning structured state space models, especially the Mamba architecture, have demonstrated remarkable performance improvements while maintaining linear complexity. In this study, we introduce functional spatiotemporal Mamba
Externí odkaz:
http://arxiv.org/abs/2408.13074
Alzheimer's disease (AD) progresses from asymptomatic changes to clinical symptoms, emphasizing the importance of early detection for proper treatment. Functional magnetic resonance imaging (fMRI), particularly dynamic functional network connectivity
Externí odkaz:
http://arxiv.org/abs/2408.00378
Schizophrenia (SZ) is a severe brain disorder marked by diverse cognitive impairments, abnormalities in brain structure, function, and genetic factors. Its complex symptoms and overlap with other psychiatric conditions challenge traditional diagnosti
Externí odkaz:
http://arxiv.org/abs/2407.19385