Multi-study evaluation of neuroimaging-based prediction of medication class in mood disorders [PDF]
Psychiatry Research - Neuroimaging, 2023 Mustafa Salman +2 more
exaly +2 more sources
Methodology and Neuromarkers for Cetaceans’ Brains [PDF]
Veterinary Sciences, 2022 Cetacean brain sampling may be an arduous task due to the difficulty of collecting and histologically preparing such rare and large specimens. Thus, one of the main challenges of working with cetaceans’ brains is to establish a valid methodology for an optimal manipulation and fixation of the brain tissue, which allows the samples to be viable for ...
Simona Sacchini +7 more
openaire +5 more sources
Dynamic Functional Connectivity, Major Depression, and Suicidal Ideation in Children. [PDF]
Hum Brain MappWe analyzed resting‐state fMRI data from the ABCD study to examine brain dynamics using Hidden Markov Modeling. Higher state‐switching was related to depression and suicidal ideation. State‐switching was higher in girls and was inversely related to head motion.
Wanger TJ +11 more
europepmc +2 more sources
Dynamic Fusion of Genomics and Functional Network Connectivity in UK Biobank Reveals Schizophrenia-Related SNP Manifolds. [PDF]
Hum Brain MappA joint ICA (jICA)‐based “dynamic fusion” framework to identify dynamically tuned SNP manifolds by linking static SNPs to dynamic functional information of the brain. ABSTRACT Many mental disorders show strong genetic influence. In parallel, dynamic functional network connectivity (dFNC) has shown high sensitivity to brain changes related to mental ...
Chen J +7 more
europepmc +2 more sources
Editorial: Advances in connectome-wide association studies (CWAS) along the neurodegeneration trajectory [PDF]
Front Aging Neurosci, 2023 Andreia V. Faria +3 more
core +2 more sources
Linking Multi-Scale Brain Connectivity with Vigilance, Working Memory, and Behavior in Adolescents [PDF]
Proc IEEE Int Symp Biomed ImagingJiayu Chen, Petrus Martens, Vd Calhoun
exaly +2 more sources
Analysis of Longitudinal Change Patterns in Developing Brain Using Functional and Structural Magnetic Resonance Imaging via Multimodal Fusion. [PDF]
Hum Brain MappIn 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
The Analysis of Longitudinal Change Patterns in Developing Brain Using Functional and Structural Magnetic Resonance Imaging Data [PDF]
, 2023 This paper introduces a novel approach to explore longitudinal changes in brain func- tional network connectivity (FNC) and gray matter (GM) in adolescents, utilizing data from the Adolescent Brain and Cognitive Development (ABCD) study.
Saha, Rekha
core +2 more sources
Functionally Adaptive Structural Basis Sets of the Brain: A Dynamic Fusion Approach. [PDF]
Hum Brain MappThe 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]
Hum Brain MappThe 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