Parsing the network mechanisms of electroconvulsive therapy

AM Leaver, R Espinoza, B Wade, KL Narr - Biological psychiatry, 2022 - Elsevier
Electroconvulsive therapy (ECT) is one of the oldest and most effective forms of
neurostimulation, wherein electrical current is used to elicit brief, generalized seizures under …

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 …

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 …

Enhanced default mode network functional connectivity links with electroconvulsive therapy response in major depressive disorder

Y Pang, Q Wei, S Zhao, N Li, Z Li, F Lu, J Pang… - Journal of Affective …, 2022 - Elsevier
Background Electroconvulsive therapy (ECT) is an effective neuromodulatory treatment for
major depressive disorder (MDD), especially for cases resistant to antidepressant drugs …

Magnetic resonance-guided focused ultrasound capsulotomy for refractory obsessive compulsive disorder and major depressive disorder: clinical and imaging results …

B Davidson, C Hamani, JS Rabin, M Goubran… - Molecular …, 2020 - nature.com
Obsessive compulsive disorder (OCD) and major depressive disorder (MDD) are common,
often refractory, neuropsychiatric conditions for which new treatment approaches are …

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 …

Machine learning of schizophrenia detection with structural and functional neuroimaging

D Shi, Y Li, H Zhang, X Yao, S Wang, G Wang… - Disease …, 2021 - Wiley Online Library
Schizophrenia (SZ) is a severe psychiatric illness, and it affects around 1% of the general
population; however, its reliable diagnosis is challenging. Functional MRI (fMRI) and …

Breakthroughs and challenges for generating brain network-based biomarkers of treatment response in depression

S Prompiengchai, K Dunlop - Neuropsychopharmacology, 2024 - nature.com
Abstract Treatment outcomes widely vary for individuals diagnosed with major depressive
disorder, implicating a need for deeper understanding of the biological mechanisms …

Altered spontaneous brain activity in women during menopause transition and its association with cognitive function and serum estradiol level

L He, W Guo, J Qiu, X An, W Lu - Frontiers in Endocrinology, 2021 - frontiersin.org
Objective Serum hormone deficiencies during menopause transition may affect
spontaneous brain activity and global cognition. The purpose of this study was to explore the …

Noninvasive neuromodulation of the prefrontal cortex in mental health disorders

WT Regenold, ZD Deng, SH Lisanby - Neuropsychopharmacology, 2022 - nature.com
More than any other brain region, the prefrontal cortex (PFC) gives rise to the singularity of
human experience. It is therefore frequently implicated in the most distinctly human of all …