Toward individualized connectomes of brain morphology
The morphological brain connectome (MBC) delineates the coordinated patterns of local
morphological features (such as cortical thickness) across brain regions. While classically …
morphological features (such as cortical thickness) across brain regions. While classically …
Unveiling the prevalence and risk factors of early stage postpartum depression: a hybrid deep learning approach
A major psychological problem that numerous new mothers experience is postpartum
depression (PPD). A woman's capacity to care for herself and her child may be hampered by …
depression (PPD). A woman's capacity to care for herself and her child may be hampered by …
Brain functional activity-based classification of autism spectrum disorder using an attention-based graph neural network combined with gene expression
Autism spectrum disorder (ASD) is a complex brain neurodevelopmental disorder related to
brain activity and genetics. Most of the ASD diagnostic models perform feature selection at …
brain activity and genetics. Most of the ASD diagnostic models perform feature selection at …
Effective hyper-connectivity network construction and learning: Application to major depressive disorder identification
J Liu, W Yang, Y Ma, Q Dong, Y Li, B Hu… - Computers in Biology …, 2024 - Elsevier
Functional connectivity (FC) derived from resting-state fMRI (rs-fMRI) is a primary approach
for identifying brain diseases, but it is limited to capturing the pairwise correlation between …
for identifying brain diseases, but it is limited to capturing the pairwise correlation between …
Altered topology of individual brain structural covariance networks in major depressive disorder
L Ping, S Sun, C Zhou, J Que, Z You, X Xu… - Psychological …, 2023 - cambridge.org
BackgroundThe neurobiological pathogenesis of major depression disorder (MDD) remains
largely controversial. Previous literatures with limited sample size utilizing group-level …
largely controversial. Previous literatures with limited sample size utilizing group-level …
Bidirectional motivated bimodal isothermal strand displacement amplifier with a table tennis-like movement for the ultrasensitive fluorescent and colorimetric detection …
X Kong, J Wang, S Lv, C Wang, H Hong, P Xie… - Analytica Chimica …, 2023 - Elsevier
An increasing number of studies have highlighted the potential of microRNAs (miRNAs) as
physiological indicators of major depressive disorder (MDD). Herein, we developed a …
physiological indicators of major depressive disorder (MDD). Herein, we developed a …
Aberrant single-subject morphological brain networks in first-episode, treatment-naive adolescents with major depressive disorder
Background Neuroimaging-based connectome studies have indicated that major depressive
disorder (MDD) is associated with disrupted topological organization of large-scale brain …
disorder (MDD) is associated with disrupted topological organization of large-scale brain …
Automatic Diagnosis of Major Depressive Disorder Using a High-and Low-Frequency Feature Fusion Framework
Major Depressive Disorder (MDD) is a common mental illness resulting in immune disorders
and even thoughts of suicidal behavior. Neuroimaging techniques serve as a quantitative …
and even thoughts of suicidal behavior. Neuroimaging techniques serve as a quantitative …
[HTML][HTML] Multi-feature concatenation and multi-classifier stacking: An interpretable and generalizable machine learning method for MDD discrimination with rsfMRI
Major depressive disorder (MDD) is a serious and heterogeneous psychiatric disorder that
needs accurate diagnosis. Resting-state functional MRI (rsfMRI), which captures multiple …
needs accurate diagnosis. Resting-state functional MRI (rsfMRI), which captures multiple …
Deep interpretability methods for neuroimaging
MM Rahman - 2022 - scholarworks.gsu.edu
Brain dynamics are highly complex and yet hold the key to understanding brain function and
dysfunction. The dynamics captured by resting-state functional magnetic resonance imaging …
dysfunction. The dynamics captured by resting-state functional magnetic resonance imaging …