Functional connectivity signatures of major depressive disorder: machine learning analysis of two multicenter neuroimaging studies
The promise of machine learning has fueled the hope for developing diagnostic tools for
psychiatry. Initial studies showed high accuracy for the identification of major depressive …
psychiatry. Initial studies showed high accuracy for the identification of major depressive …
Using graph convolutional network to characterize individuals with major depressive disorder across multiple imaging sites
Background Establishing objective and quantitative neuroimaging biomarkers at individual
level can assist in early and accurate diagnosis of major depressive disorder (MDD) …
level can assist in early and accurate diagnosis of major depressive disorder (MDD) …
The classification of brain network for major depressive disorder patients based on deep graph convolutional neural network
M Zhu, Y Quan, X He - Frontiers in Human Neuroscience, 2023 - frontiersin.org
Introduction The early diagnosis of major depressive disorder (MDD) is very important for
patients that suffer from severe and irreversible consequences of depression. It has been …
patients that suffer from severe and irreversible consequences of depression. It has been …
Generalizable brain network markers of major depressive disorder across multiple imaging sites
A Yamashita, Y Sakai, T Yamada, N Yahata… - PLoS …, 2020 - journals.plos.org
Many studies have highlighted the difficulty inherent to the clinical application of
fundamental neuroscience knowledge based on machine learning techniques. It is difficult …
fundamental neuroscience knowledge based on machine learning techniques. It is difficult …
[HTML][HTML] Multivariate pattern analysis strategies in detection of remitted major depressive disorder using resting state functional connectivity
Understanding abnormal resting-state functional connectivity of distributed brain networks
may aid in probing and targeting mechanisms involved in major depressive disorder (MDD) …
may aid in probing and targeting mechanisms involved in major depressive disorder (MDD) …
Identifying resting‐state effective connectivity abnormalities in drug‐naïve major depressive disorder diagnosis via graph convolutional networks
Major depressive disorder (MDD) is a leading cause of disability; its symptoms interfere with
social, occupational, interpersonal, and academic functioning. However, the diagnosis of …
social, occupational, interpersonal, and academic functioning. However, the diagnosis of …
Multivariate classification of major depressive disorder using the effective connectivity and functional connectivity
Major depressive disorder (MDD) is a mental disorder characterized by at least 2 weeks of
low mood, which is present across most situations. Diagnosis of MDD using rest-state …
low mood, which is present across most situations. Diagnosis of MDD using rest-state …
Data-driven clustering reveals a link between symptoms and functional brain connectivity in depression
LA Maglanoc, NI Landrø, R Jonassen… - Biological Psychiatry …, 2019 - Elsevier
Background Depression is a complex disorder with large interindividual variability in
symptom profiles that often occur alongside symptoms of other psychiatric domains, such as …
symptom profiles that often occur alongside symptoms of other psychiatric domains, such as …
Mapping neurophysiological subtypes of major depressive disorder using normative models of the functional connectome
Background Major depressive disorder (MDD) is a highly heterogeneous disorder that
typically emerges in adolescence and can occur throughout adulthood. Studies aimed at …
typically emerges in adolescence and can occur throughout adulthood. Studies aimed at …
Whole-brain resting-state functional connectivity identified major depressive disorder: a multivariate pattern analysis in two independent samples
Background there has been a recent increase in the use of connectome-based multivariate
pattern analysis (MVPA) of resting-state functional magnetic resonance imaging (fMRI) data …
pattern analysis (MVPA) of resting-state functional magnetic resonance imaging (fMRI) data …