[HTML][HTML] Molecular pathways of major depressive disorder converge on the synapse

GR Fries, VA Saldana, J Finnstein, T Rein - Molecular Psychiatry, 2023 - nature.com
Major depressive disorder (MDD) is a psychiatric disease of still poorly understood
molecular etiology. Extensive studies at different molecular levels point to a high complexity …

[HTML][HTML] Age-related hearing loss and the development of cognitive impairment and late-life depression: a scoping overview

RK Sharma, A Chern, JS Golub - Seminars in Hearing, 2021 - thieme-connect.com
Age-related hearing loss (ARHL) has been connected to both cognitive decline and late-life
depression. Several mechanisms have been offered to explain both individual links. Causal …

[HTML][HTML] Neuronal Yin Yang1 in the prefrontal cortex regulates transcriptional and behavioral responses to chronic stress in mice

DY Kwon, B Xu, P Hu, YT Zhao, JA Beagan… - Nature …, 2022 - nature.com
Although the synaptic alterations associated with the stress-related mood disorder major
depression has been well-documented, the underlying transcriptional mechanisms remain …

Abnormal cortical-striatal-thalamic-cortical circuit centered on the thalamus in MDD patients with somatic symptoms: Evidence from the REST-meta-MDD project

N Sun, M Liu, P Liu, A Zhang, C Yang, Z Liu, J Li… - Journal of affective …, 2023 - Elsevier
Objective Somatic symptoms are common comorbidities of major depressive disorder
(MDD), and negatively impact the course and severity of the disease. In order to enrich the …

Insular-associated causal network of structural covariance evaluating progressive gray matter changes in major depressive disorder

F Lu, Q Cui, Y Chen, Z He, W Sheng, Q Tang… - Cerebral …, 2023 - academic.oup.com
Background Morphometric studies demonstrated wide-ranging distribution of brain structural
abnormalities in major depressive disorder (MDD). Objective This study explored the …

Subthreshold depression: A systematic review and network Meta-analysis of non-pharmacological interventions

X Hao, Y Jia, J Chen, C Zou, C Jiang - … disease and treatment, 2023 - Taylor & Francis
Background Subthreshold depression (StD) is considered to be the “precursor” stage of
major depressive disorder (MDD), which could cause higher risk of suicide, disease burden …

[HTML][HTML] Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

V Belov, T Erwin-Grabner, M Aghajani, A Aleman… - Scientific reports, 2024 - nature.com
Abstract Machine learning (ML) techniques have gained popularity in the neuroimaging field
due to their potential for classifying neuropsychiatric disorders. However, the diagnostic …

Heterogeneous brain dynamic functional connectivity patterns in first‐episode drug‐naive patients with major depressive disorder

R Jing, X Lin, Z Ding, S Chang, L Shi, L Liu… - Human Brain …, 2023 - Wiley Online Library
It remains challenging to identify depression accurately due to its biological heterogeneity.
As people suffering from depression are associated with functional brain network alterations …

Lateralized grey matter volume changes in adolescents versus adults with major depression: SDM-PSI meta-analysis

E Zhang, AO Hauson, AA Pollard, B Meis… - Psychiatry Research …, 2023 - Elsevier
The current study is the first meta-analysis to examine grey matter volume (GMV) changes in
adolescents and across the lifespan in major depressive disorder (MDD). Seed-based d …

A two-center radiomic analysis for differentiating major depressive disorder using multi-modality MRI data under different parcellation methods

K Sun, Z Liu, G Chen, Z Zhou, S Zhong, Z Tang… - Journal of affective …, 2022 - Elsevier
Background The present study aimed to explore the difference in the brain function and
structure between patients with major depressive disorder (MDD) and healthy controls (HCs) …