Back to search

Article

Individual Deviations from Normative Electroencephalographic Connectivity Predict Antidepressant Response

2023-05-28

Abstract excerpt

Antidepressant medications yield unsatisfactory treatment outcomes in patients with major depressive disorder (MDD) with modest advantages over the placebo. This modest efficacy is partly due to the elusive mechanisms of antidepressant responses and unexplained heterogeneity in patient’s response to treatment — the approved antidepressants only benefit a portion of patients, calling for personalized psychiatry bas...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
59007e4e-03fd-532c-bedd-a16fdab3b6bf
DOI
10.1101/2023.05.24.23290434
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Individual Deviations from Normative Electroencephalographic Connectivity Predict Antidepressant ResponseDOI 10.1101/2023.05.24.23290434
Mapping Neurophysiological Subtypes of Major Depressive Disorder Using Normative Models of the Functional ConnectomeSemantic proximity
Machine Learning-Enabled EEG Biomarkers Predict Divergent Antidepressant and Placebo Response in a Clinical Trial of Major DepressionSemantic proximity
Optimizing Antidepressant Efficacy: Generalizable Multimodal Neuroimaging Biomarkers for Prediction of Treatment ResponseSemantic proximity
Graph-Based EEG Symmetry Features from the Temporal Lobe as Markers of Antidepressant Treatment ResponseSemantic proximity
Normative modeling of brain morphology reveals neuroanatomical heterogeneity and biological subtypes in major depressive disorderSemantic proximity
Template-driven dynamic functional network connectivity predicts medication response for major depression and bipolar disordersSemantic proximity
Subgenual Anterior Cingulate Cortex Functional Connectivity Abnormalities in Depression: Insights from Brain Imaging Big Data and Precision-Guided Personalized Intervention via Transcranial Magnetic StimulationSemantic proximity
Low-dimensional brain-symptom associations delineate depression phenotypes with distinct connectivity biomarkers and symptom profilesSemantic proximity
Computational Mechanisms of Neuroimaging Biomarkers Uncovered by Multicenter Resting-State fMRI Connectivity Variation ProfileSemantic proximity
Contrastive functional connectivity defines neurophysiology-informed symptom dimensions in major depressionSemantic proximity
Prediction of antidepressant treatment response with thalamo-somatomotor functional connectivity revealed by generalizable stratification of depressed patientsSemantic proximity
Functional and Optogenetic Approaches to Discovering Stable Subtype-Specific Circuit Mechanisms in DepressionSemantic proximity
Select a neighboring publication to make it the new centre.