Major depressive disorder

W Marx, BWJH Penninx, M Solmi… - Nature Reviews …, 2023 - nature.com
Major depressive disorder (MDD) is characterized by persistent depressed mood, loss of
interest or pleasure in previously enjoyable activities, recurrent thoughts of death, and …

Major depressive disorder: advances in neuroscience research and translational applications

Z Li, M Ruan, J Chen, Y Fang - Neuroscience bulletin, 2021 - Springer
Major depressive disorder (MDD), also referred to as depression, is one of the most common
psychiatric disorders with a high economic burden. The etiology of depression is still not …

Machine learning for brain age prediction: Introduction to methods and clinical applications

L Baecker, R Garcia-Dias, S Vieira, C Scarpazza… - …, 2021 - thelancet.com
The rise of machine learning has unlocked new ways of analysing structural neuroimaging
data, including brain age prediction. In this state-of-the-art review, we provide an …

The normative modeling framework for computational psychiatry

S Rutherford, SM Kia, T Wolfers, C Fraza, M Zabihi… - Nature protocols, 2022 - nature.com
Normative modeling is an emerging and innovative framework for map** individual
differences at the level of a single subject or observation in relation to a reference model. It …

Biological factors influencing depression in later life: role of aging processes and treatment implications

SM Szymkowicz, AR Gerlach, D Homiack… - Translational …, 2023 - nature.com
Late-life depression occurring in older adults is common, recurrent, and malignant. It is
characterized by affective symptoms, but also cognitive decline, medical comorbidity, and …

Mendelian randomization analyses reveal causal relationships between brain functional networks and risk of psychiatric disorders

C Mu, X Dang, XJ Luo - Nature human behaviour, 2024 - nature.com
Dysfunction of brain resting-state functional networks has been widely reported in
psychiatric disorders. However, the causal relationships between brain resting-state …

[HTML][HTML] Effects of the COVID-19 pandemic on mental health and brain maturation in adolescents: Implications for analyzing longitudinal data

IH Gotlib, JG Miller, LR Borchers, SM Coury… - … Psychiatry Global Open …, 2023 - Elsevier
Background The COVID-19 pandemic has caused significant stress and disruption for young
people, likely leading to alterations in their mental health and neurodevelopment. In this …

The brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depression

R Jiang, S Noble, M Rosenblatt, W Dai, J Ye… - Nature …, 2024 - nature.com
Cross-sectional studies have demonstrated strong associations between physical frailty and
depression. However, the evidence from prospective studies is limited. Here, we analyze …

ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries

PM Thompson, N Jahanshad, CRK Ching… - Translational …, 2020 - nature.com
This review summarizes the last decade of work by the ENIGMA (E nhancing N euro I
maging G enetics through M eta A nalysis) Consortium, a global alliance of over 1400 …

Global-local transformer for brain age estimation

S He, PE Grant, Y Ou - IEEE transactions on medical imaging, 2021 - ieeexplore.ieee.org
Deep learning can provide rapid brain age estimation based on brain magnetic resonance
imaging (MRI). However, most studies use one neural network to extract the global …