[HTML][HTML] The human connectome project: a retrospective

JS Elam, MF Glasser, MP Harms, SN Sotiropoulos… - NeuroImage, 2021 - Elsevier
Abstract The Human Connectome Project (HCP) was launched in 2010 as an ambitious
effort to accelerate advances in human neuroimaging, particularly for measures of brain …

Functional connectomics in depression: insights into therapies

Y Chai, YI Sheline, DJ Oathes, NL Balderston… - Trends in Cognitive …, 2023 - cell.com
Depression is a common mental disorder characterized by heterogeneous cognitive and
behavioral symptoms. The emerging research paradigm of functional connectomics has …

[HTML][HTML] Functional connectivity of the anterior cingulate cortex predicts treatment outcome for rTMS in treatment-resistant depression at 3-month follow-up

R Ge, J Downar, DM Blumberger, ZJ Daskalakis… - Brain stimulation, 2020 - Elsevier
Background and objective Repetitive transcranial magnetic stimulation (rTMS) is a first-line
treatment for treatment-resistant depression (TRD). The mechanisms of action of rTMS are …

Altered effective connectivity in sensorimotor cortices is a signature of severity and clinical course in depression

D Ray, D Bezmaternykh, M Mel'nikov… - Proceedings of the …, 2021 - National Acad Sciences
Functional neuroimaging research on depression has traditionally targeted neural networks
associated with the psychological aspects of depression. In this study, instead, we focus on …

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 …

The dynamics of functional brain networks associated with depressive symptoms in a nonclinical sample

S Alonso Martinez, G Deco, GJ Ter Horst… - Frontiers in neural …, 2020 - frontiersin.org
Brain function depends on the flexible and dynamic coordination of functional subsystems
within distributed neural networks operating on multiple scales. Recent progress has been …

A multimetric systematic review of fMRI findings in patients with MDD receiving ECT

D Porta-Casteràs, M Cano, JA Camprodon… - Progress in Neuro …, 2021 - Elsevier
Background Electroconvulsive therapy (ECT) is considered the most effective treatment for
major depressive disorder (MDD). In recent years, the pursuit of the neurobiological …

Evaluation of functional MRI-based human brain parcellation: a review

P Moghimi, AT Dang, Q Do, TI Netoff… - Journal of …, 2022 - journals.physiology.org
Brain parcellations play a crucial role in the analysis of brain imaging data sets, as they can
significantly affect the outcome of the analysis. In recent years, several novel approaches for …

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 …

Parcel-guided rTMS for depression

M Moreno-Ortega, A Kangarlu, S Lee, T Perera… - Translational …, 2020 - nature.com
Transcranial magnetic stimulation (TMS) is an approved intervention for treatment-resistant
depression (TRD), but current targeting approaches are only partially successful. Our …