Identifying Biomarkers for Treatment Response in Depression Using Neuroimaging and Actigraphy

F Ali - 2022 - search.proquest.com
No biomarkers for antidepressant efficacy in major depressive disorder (MDD) are available
that can reduce patient suffering and healthcare costs from ineffective trials. This dissertation …

[HTML][HTML] Gradient boosting decision-tree-based algorithm with neuroimaging for personalized treatment in depression

FZ Ali, K Wengler, X He, MH Nguyen, RV Parsey… - Neuroscience …, 2022 - Elsevier
Introduction Pretreatment positron emission tomography (PET) with 2-deoxy-2-[18 F] fluoro-
D-glucose (FDG) and magnetic resonance spectroscopy (MRS) may identify biomarkers for …

Multimodal predictors of treatment response in major depressive disorder: advancing personalized medicine in psychiatry

ML Phillips - American Journal of Psychiatry, 2024 - Am Psychiatric Assoc
There is a critical need to identify objective predictive markers of treatment response in
major depressive disorder (MDD), given the high levels of illness morbidity and the fact that …

Neuroimaging biomarkers for predicting treatment response and recurrence of major depressive disorder

SG Kang, SE Cho - International journal of molecular sciences, 2020 - mdpi.com
The acute treatment duration for major depressive disorder (MDD) is 8 weeks or more.
Treatment of patients with MDD without predictors of treatment response and future …

[HTML][HTML] Predicting escitalopram treatment response from pre-treatment and early response resting state fMRI in a multi-site sample: A CAN-BIND-1 report

JK Harris, S Hassel, AD Davis, M Zamyadi, SR Arnott… - NeuroImage: Clinical, 2022 - Elsevier
Many previous intervention studies have used functional magnetic resonance imaging
(fMRI) data to predict the antidepressant response of patients with major depressive disorder …

Neuroimaging biomarkers as predictors of treatment outcome in major depressive disorder

TM Fonseka, GM MacQueen, SH Kennedy - Journal of affective disorders, 2018 - Elsevier
Background Current practice for selecting pharmacological and non-pharmacological
antidepressant treatments has yielded low response and remission rates in Major …

Predicting neuroimaging biomarkers for antidepressant selection in early treatment of depression

L Xue, C Pei, X Wang, H Wang, S Tian… - Journal of Magnetic …, 2021 - Wiley Online Library
Background Due to the biological heterogeneity, 60%–70% of patients with major
depressive disorder (MDD) do not respond to or achieve remission from first‐line …

Personalized diagnosis and treatment for neuroimaging in depressive disorders

J Lee, S Chi, MS Lee - Journal of personalized medicine, 2022 - mdpi.com
Depressive disorders are highly heterogeneous in nature. Previous studies have not been
useful for the clinical diagnosis and prediction of outcomes of major depressive disorder …

Application of Neuroimaging in the Diagnosis and Treatment of Depression

A Arslan - … : Volume 2. Clinical Manifestations, Diagnosis and …, 2018 - Springer
Diagnosis of depression is based on clinical parameters which may be clinically reliable but
lack biological validity leading to problems of differential diagnosis or treatment. Thus, there …

Neuroimaging as a tool for individualized treatment choice in depression: the past, the present and the future

BR Godlewska - Current Behavioral Neuroscience Reports, 2020 - Springer
Abstract Purpose of Review This paper aims to review the findings on neuroimaging as a
tool for facilitating individualized treatment choice in depression. Recent Findings …