Prefrontal cortex and depression

DA Pizzagalli, AC Roberts - Neuropsychopharmacology, 2022 - nature.com
The prefrontal cortex (PFC) has emerged as one of the regions most consistently impaired in
major depressive disorder (MDD). Although functional and structural PFC abnormalities …

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 …

Predicting treatment outcomes in major depressive disorder using brain magnetic resonance imaging: a meta-analysis

F Long, Y Chen, Q Zhang, Q Li, Y Wang, Y Wang… - Molecular …, 2024 - nature.com
Recent studies have provided promising evidence that neuroimaging data can predict
treatment outcomes for patients with major depressive disorder (MDD). As most of these …

[HTML][HTML] MRI predictors of pharmacotherapy response in major depressive disorder

AR Gerlach, HT Karim, M Pecina, O Ajilore… - NeuroImage: Clinical, 2022 - Elsevier
Major depressive disorder is among the most prevalent psychiatric disorders, exacting a
substantial personal, social, and economic toll. Antidepressant treatment typically involves …

Differential and unique patterns of synaptic miRNA expression in dorsolateral prefrontal cortex of depressed subjects

Y Yoshino, B Roy, Y Dwivedi - Neuropsychopharmacology, 2021 - nature.com
Altered synaptic plasticity is often associated with major depressive disorder (MDD).
Disease-associated changes in synaptic functions are tightly correlated with altered …

Magnetic resonance imaging for individual prediction of treatment response in major depressive disorder: a systematic review and meta-analysis

SE Cohen, JB Zantvoord, BN Wezenberg… - Translational …, 2021 - nature.com
No tools are currently available to predict whether a patient suffering from major depressive
disorder (MDD) will respond to a certain treatment. Machine learning analysis of magnetic …

Prediction of remission among patients with a major depressive disorder based on the resting-state functional connectivity of emotion regulation networks

H Wu, R Liu, J Zhou, L Feng, Y Wang, X Chen… - Translational …, 2022 - nature.com
The prediction of antidepressant response is critical for psychiatrists to select the initial
antidepressant drug for patients with major depressive disorders (MDD). The implicated …

Altered patterns of central executive, default mode and salience network activity and connectivity are associated with current and future depression risk in two …

MA Bertocci, Y Afriyie-Agyemang, R Rozovsky… - Molecular …, 2023 - nature.com
Neural markers of pathophysiological processes underlying the dimension of subsyndromal-
syndromal-level depression severity can provide objective, biologically informed targets for …

Structural and biochemical alterations in dendritic spines as key mechanisms for severe mental illnesses

S Reyes-Lizaola, U Luna-Zarate… - Progress in Neuro …, 2024 - Elsevier
Severe mental illnesses (SMI) collectively affect approximately 20% of the global population,
as estimated by the World Health Organization (WHO). Despite having diverse etiologies …

Brain morphometry and connectivity differs between adolescent‐and adult‐onset major depressive disorder

TS Blank, BM Meyer, MK Wieser, U Rabl… - Depression and …, 2022 - Wiley Online Library
Background Early‐onset (EO) major depressive disorder (MDD) patients experience more
depressive episodes and an increased risk of relapse. Thus, on a neurobiological level …