[HTML][HTML] Comparison between gradients and parcellations for functional connectivity prediction of behavior
Resting-state functional connectivity (RSFC) is widely used to predict behavioral measures.
To predict behavioral measures, representing RSFC with parcellations and gradients are the …
To predict behavioral measures, representing RSFC with parcellations and gradients are the …
[HTML][HTML] Identification of overlap** and interacting networks reveals intrinsic spatiotemporal organization of the human brain
The human brain is a complex network that exhibits dynamic fluctuations in activity across
space and time. Depending on the analysis method, canonical brain networks identified …
space and time. Depending on the analysis method, canonical brain networks identified …
[HTML][HTML] A primer on Variational Laplace (VL)
This article details a scheme for approximate Bayesian inference, which has underpinned
thousands of neuroimaging studies since its introduction 15 years ago. Variational Laplace …
thousands of neuroimaging studies since its introduction 15 years ago. Variational Laplace …
[HTML][HTML] Accurate predictions of individual differences in task-evoked brain activity from resting-state fMRI using a sparse ensemble learner
Modelling and predicting individual differences in task-fMRI activity can have a wide range
of applications from basic to clinical neuroscience. It has been shown that models based on …
of applications from basic to clinical neuroscience. It has been shown that models based on …
Aberrant dynamic functional network connectivity in patients with diffuse axonal injury
J Li, Y Wang, Y Wang, J Zhan, W Sun, F Ouyang… - Scientific Reports, 2024 - nature.com
Diffuse axonal injury (DAI) results in aberrant functional connectivity and is significantly
linked to cognitive impairment. Nevertheless, the network mechanisms influencing …
linked to cognitive impairment. Nevertheless, the network mechanisms influencing …
Evaluating functional brain organization in individuals and identifying contributions to network overlap
Individual differences in the spatial organization of resting-state networks have received
increased attention in recent years. Measures of individual-specific spatial organization of …
increased attention in recent years. Measures of individual-specific spatial organization of …
Sparse Bayesian modeling of hierarchical independent component analysis: Reliable estimation of individual differences in brain networks
Independent component analysis (ICA) is one of the leading approaches for studying brain
functional networks. There is increasing interest in neuroscience studies to investigate …
functional networks. There is increasing interest in neuroscience studies to investigate …
Multiscale Modes of Functional Brain Connectivity
Information processing in the brain spans from localised sensorimotor processes to higher-
level cognition that integrates across multiple regions. Interactions between and within these …
level cognition that integrates across multiple regions. Interactions between and within these …
[HTML][HTML] Cortico-hippocampal interactions underlie schema-supported memory encoding in older adults
Although episodic memory is typically impaired in older adults (OAs) compared to young
adults (YAs), this deficit is attenuated when OAs can leverage their rich semantic knowledge …
adults (YAs), this deficit is attenuated when OAs can leverage their rich semantic knowledge …
Accurate estimation of functional brain connectivity via Bayesian ICA with population-derived priors
Estimation of brain functional connectivity (FC) is essential for understanding the functional
organization in the brain and for identifying changes occurring due to neurological …
organization in the brain and for identifying changes occurring due to neurological …