Visual system assessment for predicting a transition to psychosis
The field of psychiatry is far from perfect in predicting which individuals will transition to a
psychotic disorder. Here, we argue that visual system assessment can help in this regard …
psychotic disorder. Here, we argue that visual system assessment can help in this regard …
SMART (splitting-merging assisted reliable) Independent Component Analysis for Extracting Accurate Brain Functional Networks
Functional networks (FNs) hold significant promise in understanding brain function.
Independent component analysis (ICA) has been applied in estimating FNs from functional …
Independent component analysis (ICA) has been applied in estimating FNs from functional …
Exploring nonlinear dynamics in brain functionality through phase portraits and fuzzy recurrence plots
Much of the complexity and diversity found in nature is driven by nonlinear phenomena, and
this holds true for the brain. Nonlinear dynamics theory has been successfully utilized in …
this holds true for the brain. Nonlinear dynamics theory has been successfully utilized in …
Constrained independent vector analysis with reference for multi-subject fMRI analysis
Objective: Independent component analysis (ICA) is now a widely used solution for the
analysis of multi-subject functional magnetic resonance imaging (fMRI) data. Independent …
analysis of multi-subject functional magnetic resonance imaging (fMRI) data. Independent …
[HTML][HTML] Data-driven multivariate identification of gyrification patterns in a transdiagnostic patient cohort: A cluster analysis approach
Background Multivariate data-driven statistical approaches offer the opportunity to study
multi-dimensional interdependences between a large set of biological parameters, such as …
multi-dimensional interdependences between a large set of biological parameters, such as …
Determining four confounding factors in individual cognitive traits prediction with functional connectivity: an exploratory study
Resting-state functional connectivity (RSFC) has been widely adopted for individualized trait
prediction. However, multiple confounding factors may impact the predicted brain-behavior …
prediction. However, multiple confounding factors may impact the predicted brain-behavior …
A Telescopic Independent Component Analysis on Functional Magnetic Resonance Imaging Data Set
Brain function can be modeled as the dynamic interactions between functional sources at
different spatial scales, and each spatial scale can contain its functional sources with unique …
different spatial scales, and each spatial scale can contain its functional sources with unique …
[LIBRO][B] Investigating Individual Variability of Morphometric Covariance Patterns in Autism Spectrum Disorder
J Ziolkowski - 2022 - search.proquest.com
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by
substantial phenotypic and neuroanatomical variation. Atypicalities in multiple …
substantial phenotypic and neuroanatomical variation. Atypicalities in multiple …
An algorithm for independent component analysis using a general class of copula-based dependence criteria
The efficiency of Independent Component Analysis ($\rm ICA $) algorithms relies heavily on
the choice of objective function and optimization algorithms. The design of objective …
the choice of objective function and optimization algorithms. The design of objective …
Altered functional connectivity within and between resting-state networks in ulcerative colitis
Y Ren, K Xue, H Xu, L Hao, Q Zhao, T Chi, H Yang… - 2024 - researchsquare.com
Background Patients with ulcerative colitis (UC) commonly present with affective disorders
such as depression and anxiety, especially during the active phase of the disease. However …
such as depression and anxiety, especially during the active phase of the disease. However …