Parsing the network mechanisms of electroconvulsive therapy
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 …
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
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 …
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
Recent studies have provided promising evidence that neuroimaging data can predict
treatment outcomes for patients with major depressive disorder (MDD). As most of these …
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
Background Electroconvulsive therapy (ECT) is an effective neuromodulatory treatment for
major depressive disorder (MDD), especially for cases resistant to antidepressant drugs …
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 …
Obsessive compulsive disorder (OCD) and major depressive disorder (MDD) are common,
often refractory, neuropsychiatric conditions for which new treatment approaches are …
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 …
antidepressant drug for patients with major depressive disorders (MDD). The implicated …
Machine learning of schizophrenia detection with structural and functional neuroimaging
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 …
population; however, its reliable diagnosis is challenging. Functional MRI (fMRI) and …
Cross‐cohort replicable resting‐state functional connectivity in predicting symptoms and cognition of schizophrenia
Schizophrenia (SZ) is a debilitating mental illness characterized by adolescence or early
adulthood onset of psychosis, positive and negative symptoms, as well as cognitive …
adulthood onset of psychosis, positive and negative symptoms, as well as cognitive …
[HTML][HTML] Predicting treatment outcome based on resting-state functional connectivity in internalizing mental disorders: a systematic review and meta-analysis
Predicting treatment outcome in internalizing mental disorders prior to treatment initiation is
pivotal for precision mental healthcare. In this regard, resting-state functional connectivity (rs …
pivotal for precision mental healthcare. In this regard, resting-state functional connectivity (rs …
Breakthroughs and challenges for generating brain network-based biomarkers of treatment response in depression
Abstract Treatment outcomes widely vary for individuals diagnosed with major depressive
disorder, implicating a need for deeper understanding of the biological mechanisms …
disorder, implicating a need for deeper understanding of the biological mechanisms …