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 …

[HTML][HTML] Optimizing Antidepressant Efficacy: Multimodal Neuroimaging Biomarkers for Prediction of Treatment Response

X Tong, K Zhao, GA Fonzo, H Xie, NB Carlisle… - medRxiv, 2024 - ncbi.nlm.nih.gov
Major depressive disorder (MDD) is a common and often severe condition that profoundly
diminishes quality of life for individuals across ages and demographic groups. Unfortunately …

Home-based transcranial direct current stimulation (tDCS) in major depressive disorder: enhanced network synchronization with active relative to sham and deep …

W Xiao, JC Moncy, RD Woodham, S Selvaraj, N Lajmi… - medRxiv, 2024 - medrxiv.org
Aim: To investigate neural oscillatory networks in major depressive disorder (MDD), effects
of home-based transcranial direct current stimulation (tDCS) treatment, and potential …

Contrastive learning enhances the links between functional signatures and antidepressant treatment

B Chen, K Zheng, X Zheng, H Shi, H Wang, BJ Li - 2024 - researchsquare.com
Major depressive disorder (MDD) is highly heterogeneous in terms of responses to
treatment, which hinders the improvement in treatment effectiveness and outcomes for MDD …

[PDF][PDF] Prediction of Treatment Outcome to Transcranial Direct Current Stimulation in Major Depression Based on Deep Learning of EEG Data

JC Moncy, Y Fan, CHY Fu - Age (years) - ieeecai.org
Major Depressive Disorder (MDD) is a leading cause of disability worldwide. Current first
line treatments are antidepressant medication and psychotherapy. However, they have …