Deep brain stimulation for refractory major depressive disorder: a comprehensive review

KA Johnson, MS Okun, KW Scangos, HS Mayberg… - Molecular …, 2024 - nature.com
Deep brain stimulation (DBS) has emerged as a promising treatment for select patients with
refractory major depressive disorder (MDD). The clinical effectiveness of DBS for MDD has …

The DIRECT consortium and the REST-meta-MDD project: towards neuroimaging biomarkers of major depressive disorder

X Chen, B Lu, HX Li, XY Li, YW Wang… - …, 2022 - academic.oup.com
Despite a growing neuroimaging literature on the pathophysiology of major depressive
disorder (MDD), reproducible findings are lacking, probably reflecting mostly small sample …

Using graph convolutional network to characterize individuals with major depressive disorder across multiple imaging sites

K Qin, D Lei, WHL Pinaya, N Pan, W Li, Z Zhu… - …, 2022 - thelancet.com
Background Establishing objective and quantitative neuroimaging biomarkers at individual
level can assist in early and accurate diagnosis of major depressive disorder (MDD) …

Ensemble graph neural network model for classification of major depressive disorder using whole-brain functional connectivity

S Venkatapathy, M Votinov, L Wagels, S Kim… - Frontiers in …, 2023 - frontiersin.org
Major depressive disorder (MDD) is characterized by impairments in mood and cognitive
functioning, and it is a prominent source of global disability and stress. A functional magnetic …

Aberrant large-scale network interactions across psychiatric disorders revealed by large-sample multi-site resting-state functional magnetic resonance imaging …

T Ishida, Y Nakamura, SC Tanaka… - Schizophrenia …, 2023 - academic.oup.com
Abstract Background and Hypothesis Dynamics of the distributed sets of functionally
synchronized brain regions, known as large-scale networks, are essential for the emotional …

Disrupted intrinsic functional brain network in patients with late-life depression: Evidence from a multi-site dataset

W Tan, X Ouyang, D Huang, Z Wu, Z Liu, Z He… - Journal of Affective …, 2023 - Elsevier
Background Late-life depression (LLD) is a common and serious mental disorder, whose
neural mechanisms are not yet fully understood. In this study, we aimed to characterize LLD …

Transcriptional signatures of the cortical morphometric similarity network gradient in first-episode, treatment-naive major depressive disorder

K Xue, L Guo, W Zhu, S Liang, Q Xu, L Ma… - …, 2023 - nature.com
Recent studies have shown that major depressive disorder (MDD) is accompanied by
alterations in functional and structural network gradients. However, whether changes are …

[HTML][HTML] Childhood trauma is linked to abnormal static-dynamic brain topology in adolescents with major depressive disorder

X Li, Y Huang, M Liu, M Zhang, Y Liu, T Teng… - International Journal of …, 2023 - Elsevier
Childhood trauma is a leading risk factor for adolescents developing major depressive
disorder (MDD); however, the underlying neuroimaging mechanisms remain unclear. This …

Disrupted brain gray matter connectome in social anxiety disorder: a novel individualized structural covariance network analysis

X Zhang, H Lai, Q Li, X Yang, N Pan, M He… - Cerebral …, 2023 - academic.oup.com
Phenotyping approaches grounded in structural network science can offer insights into the
neurobiological substrates of psychiatric diseases, but this remains to be clarified at the …

Brain functional changes across mood states in bipolar disorder: from a large-scale network perspective

YK Wu, YA Su, L Li, LL Zhu, K Li, JT Li… - Psychological …, 2024 - cambridge.org
BackgroundExploring the neural basis related to different mood states is a critical issue for
understanding the pathophysiology underlying mood switching in bipolar disorder (BD), but …