Analysis of Longitudinal Change Patterns in Developing Brain Using Functional and Structural Magnetic Resonance Imaging via Multimodal Fusion. [PDF]
In this study, we propose both asymmetric and symmetric multimodal fusion techniques to investigate longitudinal brain change patterns in adolescents. In our analysis, multivariate patterns of functional network connectivity and gray matter volume (GVM) demonstrate relationships with increased age. In asymmetric multimodal fusion, two functional change
Saha R +8 more
europepmc +2 more sources
Functionally Adaptive Structural Basis Sets of the Brain: A Dynamic Fusion Approach. [PDF]
The dynamic fusion of multimodal neuroimaging data is a method for studying time‐varying structure–function coupling in the brain. We show evidence of brain organization along a spectrum of highly static to highly dynamic structure–function coupling, which largely falls along unimodal/transmodal hierarchical lines.
Duda M +9 more
europepmc +2 more sources
A Method for Estimating Dynamic Functional Network Connectivity Gradients (dFNGs) From ICA Captures Smooth Inter-Network Modulation. [PDF]
The resting‐state functional magnetic resonance imaging (fMRI) data were preprocessed using standard procedures, and then spatially constrained independent component analysis (ICA) was run on the data using the Neuromark fMRI 1.0 template, resulting in 53 intrinsic connectivity networks (ICNs). Next, functional network connectivity (FNC) was calculated
Soleimani N +4 more
europepmc +2 more sources
Brain dynamics reflecting an intra-network brain state is associated with increased posttraumatic stress symptoms in the early aftermath of trauma. [PDF]
Sendi MS +49 more
europepmc +1 more source
Effects of individualized rTMS on functional connectivity related to the default mode network and frontal-parietal network in major depressive disorder: exploratory analysis of a randomized controlled trial. [PDF]
Jin J +11 more
europepmc +1 more source
Cognitive and psychiatric relevance of dynamic functional connectivity states in a large (N > 10,000) children population. [PDF]
Fu Z, Sui J, Iraji A, Liu J, Calhoun VD.
europepmc +1 more source
A Study of Neuroimaging and Genetic Non-linear Associations For Brain Development. [PDF]
Ray B +5 more
europepmc +1 more source
Multi-Site Classification of Autism Spectrum Disorder Using Spatially Constrained ICA on Resting-State fMRI Networks. [PDF]
Baig TI +6 more
europepmc +1 more source
Dynamic functional connectivity signatures of focused attention on the breath in adolescents. [PDF]
Treves IN +7 more
europepmc +1 more source
A graph transformer-based foundation model for brain functional connectivity network. [PDF]
Wang Y +5 more
europepmc +1 more source

