P.232 Cortical thickness variation in major depressive disorder is indicative of symptom profiles: a data-driven approach

2020 ◽  
Vol 31 ◽  
pp. S42-S43
Author(s):  
L. Jollans ◽  
P. Sämann ◽  
N. Rost ◽  
T. Brückl ◽  
E. Binder
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Cortical Thickness ◽  
Data Driven ◽  
Thickness Variation ◽  
Major Depressive ◽  
Symptom Profiles ◽  
Data Driven Approach

scholarly journals Theory of Lehmer Transform and Its Applications in Identifying the Electroencephalographic Signature of Major Depressive Disorder

2021 ◽  
Author(s):  
Masoud Ataei ◽  
Xiaogang Wang
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Time Series Data ◽  
Data Driven ◽  
Series Data ◽  
Eeg Signals ◽  
Major Depressive ◽  
Data Driven Approach ◽  
Highly Oscillatory ◽  
Theoretical Results

Abstract We propose a novel transform called Lehmer transform and establish theoretical results which are used to compress and characterize large volumes of highly volatile time series data. It will be shown that our proposed method could be used as a practical data-driven approach for analyzing extreme events in nonstationary and highly oscillatory stochastic processes such as biological signals. We demonstrate the advantage of the proposed transform in comparison with traditional methods such as Fourier and Wavelets transforms through an example of devising a classifier to discern the patients with major depressive disorder from the healthy subjects using their recorded EEG signals and provide the computational results. We show that the proposed transform can be used for building better and more robust classifiers with significant accuracy.

scholarly journals Asymmetry in cortical thickness and subcortical volume in treatment-naïve major depressive disorder

2019 ◽  
Vol 21 ◽  
pp. 101614 ◽  
Author(s):  
Zhiwei Zuo ◽  
Shuhua Ran ◽  
Yao Wang ◽  
Chang Li ◽  
Qi Han ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Cortical Thickness ◽  
Major Depressive ◽  
Treatment Naïve ◽  
Subcortical Volume

scholarly journals An investigation of cortical thickness and antidepressant response in major depressive disorder: A CAN-BIND study report

2020 ◽  
Vol 25 ◽  
pp. 102178
Author(s):  
Jee Su Suh ◽  
Luciano Minuzzi ◽  
Pradeep Reddy Raamana ◽  
Andrew Davis ◽  
Geoffrey B. Hall ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Cortical Thickness ◽  
Antidepressant Response ◽  
Major Depressive ◽  
Study Report

scholarly journals Cortical thickness differences between bipolar depression and major depressive disorder

2014 ◽  
Vol 16 (4) ◽  
pp. 378-388 ◽  
Author(s):  
Martin J Lan ◽  
Binod Thapa Chhetry ◽  
Maria A Oquendo ◽  
M Elizabeth Sublette ◽  
Gregory Sullivan ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Cortical Thickness ◽  
Bipolar Depression ◽  
Major Depressive

scholarly journals Electroconvulsive Therapy Induces Cortical Morphological Alterations in Major Depressive Disorder Revealed with Surface-Based Morphometry Analysis

2019 ◽  
Vol 29 (07) ◽  
pp. 1950005 ◽  
Author(s):  
Jinping Xu ◽  
Jiaojian Wang ◽  
Tongjian Bai ◽  
Xiaodong Zhang ◽  
Tian Li ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Surface Area ◽  
Cortical Thickness ◽  
Electroconvulsive Therapy ◽  
Therapeutic Efficacy ◽  
Support Vector ◽  
Major Depressive ◽  
Before And After ◽  
Surface Based Morphometry

Although electroconvulsive therapy (ECT) is one of the most effective treatments for major depressive disorder (MDD), the mechanism underlying the therapeutic efficacy and side effects of ECT remains poorly understood. Here, we investigated alterations in the cortical morphological measurements including cortical thickness (CT), surface area (SA), and local gyrification index (LGI) in 23 MDD patients before and after ECT. Furthermore, multivariate pattern analysis using linear support vector machine (SVM) was applied to investigate whether the changed morphological measurements can be effective indicators for therapeutic efficacy of ECT. Surface-based morphometry (SBM) analysis found significantly increased vertex-wise and regional cortical thickness (CT) and surface area (SA) in widespread regions, mainly located in the left insula (INS) and left fusiform gyrus, as well as hypergyrification in the left middle temporal gyrus (MTG) in MDD patients after ECT. Partial correlational analyses identified associations between the morphological properties and depressive symptom scores and impaired memory scores. Moreover, SVM result showed that the changed morphological measurements were effective to classify the MDD patients before and after ECT. Our findings suggested that ECT may enhance cortical neuroplasticity to facilitate neurogenesis to remit depressive symptoms and to impair delayed memory. These findings indicated that the cortical morphometry is a good index for therapeutic efficacy of ECT.

scholarly journals Meta-analysis of cortical thickness abnormalities in medication-free patients with major depressive disorder

2019 ◽  
Vol 45 (4) ◽  
pp. 703-712 ◽  
Author(s):  
Qian Li ◽  
Youjin Zhao ◽  
Ziqi Chen ◽  
Jingyi Long ◽  
Jing Dai ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Cortical Thickness ◽  
Meta Analysis ◽  
Temporal Cortex ◽  
Cingulate Cortex ◽  
Posterior Cingulate Cortex ◽  
Anterior Cingulate ◽  
Middle Temporal Gyrus ◽  
Major Depressive

Abstract Alterations in cortical thickness have been identified in major depressive disorder (MDD), but findings have been variable and inconsistent. To date, no reliable tools have been available for the meta-analysis of surface-based morphometric (SBM) studies to effectively characterize what has been learned in previous studies, and drug treatments may have differentially impacted findings. We conducted a comprehensive meta-analysis of magnetic resonance imaging (MRI) studies that explored cortical thickness in medication-free patients with MDD, using a newly developed meta-analytic mask compatible with seed-based d mapping (SDM) meta-analytic software. We performed the meta-regression to explore the effects of demographics and clinical characteristics on variation in cortical thickness in MDD. Fifteen studies describing 529 patients and 586 healthy controls (HCs) were included. Medication-free patients with MDD, relative to HCs, showed a complex pattern of increased cortical thickness in some areas (posterior cingulate cortex, ventromedial prefrontal cortex, and anterior cingulate cortex) and decreased cortical thickness in others (gyrus rectus, orbital segment of the superior frontal gyrus, and middle temporal gyrus). Most findings in the whole sample analysis were confirmed in a meta-analysis of studies recruiting medication-naive patients. Using the new mask specifically developed for SBM studies, this SDM meta-analysis provides evidence for regional cortical thickness alterations in MDD, mainly involving increased cortical thickness in the default mode network and decreased cortical thickness in the orbitofrontal and temporal cortex.

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