Connectome-based models can predict early symptom improvement in major depressive disorder

Y Ju, C Horien, W Chen, W Guo, X Lu, J Sun… - Journal of affective …, 2020 - Elsevier
Background Major depressive disorder (MDD) is a debilitating mental illness with more than
50% of patients not achieving an adequate response using first-line treatments. Reliable …

Reconfiguration of structural and functional connectivity coupling in patient subgroups with adolescent depression

M Xu, X Li, T Teng, Y Huang, M Liu, Y Long… - JAMA network …, 2024 - jamanetwork.com
Importance Adolescent major depressive disorder (MDD) is associated with serious adverse
implications for brain development and higher rates of self-injury and suicide, raising …

[HTML][HTML] Vulnerable brain regions in adolescent major depressive disorder: A resting-state functional magnetic resonance imaging activation likelihood estimation …

H Ding, Q Zhang, YP Shu, B Tian, J Peng… - World Journal of …, 2024 - ncbi.nlm.nih.gov
BACKGROUND Adolescent major depressive disorder (MDD) is a significant mental health
concern that often leads to recurrent depression in adulthood. Resting-state functional …

[HTML][HTML] Effects of rTMS Intervention on Functional Neuroimaging Activities in Adolescents with Major Depressive Disorder Measured Using Resting-State fMRI

F Lu, Q Cui, Y Zou, Y Guo, W Luo, Y Yu, J Gao, X Cai… - Bioengineering, 2023 - mdpi.com
Repetitive transcranial magnetic stimulation (rTMS) to the left dorsolateral prefrontal cortex
(L-DLPFC) is commonly used for the clinical treatment of major depressive disorder (MDD) …

Combination of spontaneous regional brain activity and HTR1A/1B DNA methylation to predict early responses to antidepressant treatments in MDD

C Gao, Z Xu, T Tan, Z Chen, T Shen, L Chen… - Journal of affective …, 2022 - Elsevier
Background Antidepressant medications are suggested as the first-line treatment in patients
with major depressive disorder (MDD). However, the drug therapy outcomes vary from …

[HTML][HTML] SSRI treatment response prediction in depression based on brain activation by emotional stimuli

A Preuss, B Bolliger, W Schicho… - Frontiers in …, 2020 - frontiersin.org
Introduction: The prediction of antidepressant treatment response may improve outcome.
Functional magnetic resonance imaging (fMRI) of emotion processing in major depressive …

[HTML][HTML] Detection of microstructural medial prefrontal cortex changes using magnetic resonance imaging texture analysis in a post-traumatic stress disorder rat model

S Zheng, H Wang, F Han, J Chu, F Zhang… - Frontiers in …, 2022 - frontiersin.org
Background Radiomics is characterized by high-throughput extraction of texture features
from medical images and the mining of information that can potentially be used to define …

[HTML][HTML] A neuroimaging-based precision medicine framework for depression

Y Xiao, FY Womer, S Dong, R Zhu, R Zhang… - Asian Journal of …, 2024 - Elsevier
Background Symptom-based diagnostic criteria of depression leads to notorious
heterogeneity and subjectivity. Methods The study was conducted in two stages at two sites …

[HTML][HTML] Aberrant resting-state brain function in adolescent depression

N Mao, K Che, T Chu, Y Li, Q Wang, M Liu… - Frontiers in …, 2020 - frontiersin.org
To explore the changes of brain function and conduct clinical differential diagnosis based on
support vector machine (SVM) in adolescent patients with depression. A total of 24 …

Diagnosis of major depressive disorder using machine learning based on multisequence MRI neuroimaging features

Q Li, F Dong, Q Gai, K Che, H Ma… - Journal of Magnetic …, 2023 - Wiley Online Library
Background Previous studies have found qualitative structural and functional brain changes
in major depressive disorder (MDD) patients. However, most studies ignored the …