Longitudinal MRI study of cortical thickness, perfusion, and metabolite levels in major depressive disorder

2011 ◽  
Vol 124 (6) ◽  
pp. 435-446 ◽  
Author(s):  
Hanna Järnum ◽  
Simon F. Eskildsen ◽  
Elena G. Steffensen ◽  
Søren Lundbye-Christensen ◽  
Carsten W. Simonsen ◽  
...  
2019 ◽  
Vol 21 ◽  
pp. 101614 ◽  
Author(s):  
Zhiwei Zuo ◽  
Shuhua Ran ◽  
Yao Wang ◽  
Chang Li ◽  
Qi Han ◽  
...  

2020 ◽  
Vol 25 ◽  
pp. 102178
Author(s):  
Jee Su Suh ◽  
Luciano Minuzzi ◽  
Pradeep Reddy Raamana ◽  
Andrew Davis ◽  
Geoffrey B. Hall ◽  
...  

2014 ◽  
Vol 16 (4) ◽  
pp. 378-388 ◽  
Author(s):  
Martin J Lan ◽  
Binod Thapa Chhetry ◽  
Maria A Oquendo ◽  
M Elizabeth Sublette ◽  
Gregory Sullivan ◽  
...  

2019 ◽  
Vol 29 (07) ◽  
pp. 1950005 ◽  
Author(s):  
Jinping Xu ◽  
Jiaojian Wang ◽  
Tongjian Bai ◽  
Xiaodong Zhang ◽  
Tian Li ◽  
...  

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.


2019 ◽  
Vol 45 (4) ◽  
pp. 703-712 ◽  
Author(s):  
Qian Li ◽  
Youjin Zhao ◽  
Ziqi Chen ◽  
Jingyi Long ◽  
Jing Dai ◽  
...  

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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