scholarly journals Brain Structural Connectivity in Late-Life Major Depressive Disorder

2016 ◽  
Vol 1 (3) ◽  
pp. 271-277 ◽  
Author(s):  
Stephen F. Smagula ◽  
Howard J. Aizenstein
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Structural Connectivity ◽  
Late Life ◽  
Major Depressive

scholarly journals Indirect frontocingulate structural connectivity predicts clinical response to accelerated rTMS in major depressive disorder

2020 ◽  
pp. 243-252
Author(s):  
Deborah C.W. Klooster ◽  
Iris N. Vos ◽  
Karen Caeyenberghs ◽  
Alexander Leemans ◽  
Szabolcs David ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Clinical Response ◽  
Structural Connectivity ◽  
Major Depressive

scholarly journals Microstructural deficits in the thalamus of major depressive disorder

2021 ◽  
Author(s):  
Pengfei Xu ◽  
Gangqiang Hou ◽  
Yuxuan Zhang ◽  
Yingli Zhang ◽  
Hui Ai ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Large Scale ◽  
Gray Matter Volume ◽  
Structural Connectivity ◽  
Brain Network ◽  
Microstructural Properties ◽  
Major Depressive ◽  
T1 Relaxation ◽  
Structural Abnormalities

Macroscopic structural abnormalities in the thalamus and thalamic circuits have been shown to contribute to the neuropathology of major depressive disorder (MDD). However, cytoarchitectonic properties underlying these macroscopic abnormalities remain unknown. The purpose of this study was to identify systematic deficits of brain architecture in depression, from structural brain network organization to microstructural properties. A multi-modal neuroimaging approach including diffusion, anatomical and quantitative magnetic resonance imaging (MRI) was used to examine structural-related alternations in 56 MDD patients compared with 35 age- and sex-matched controls. Structural networks were constructed and analyzed using seed-based probabilistic tractography. Morphometric measurements, including cortical thickness and voxel-based morphometry (VBM), were evaluated across the whole brain. A conjunction analysis was then conducted to identify key regions showing common structural alternations across modalities. The microstructural properties, macromolecular tissue volume (MTV) and T1 relaxation times of identified key regions were then calculated. Results showed multiple alterations of structural connectivity within a set of subcortical areas and their connections to cortical regions in MDD patients. These subcortical regions included the putamen, thalamus and caudate, which are predominately involved in the limbic-cortical-striatal-pallidal-thalamic network (LCSPT). Structural connectivity was disrupted within and between large-scale networks, mainly including subcortical networks, default mode networks and salience/ventral attention networks. Consistently, these regions also exhibited widespread volume reductions in MDD patients, specifically the bilateral thalamus, left putamen and right caudate. Importantly, the microstructural properties, T1 relaxation time of left thalamus were increased and negatively correlated with its gray matter volume in MDD patients. The present work to date sheds light on the neuropathological disruptions of LCSPT circuit in MDD, providing the first multi-modal neuroimaging evidence for the macro-micro structural abnormalities of the thalamus in patients with MDD. These findings have implications in understanding the abnormal changes of brain structures across development of MDD.

[P4-182]: A NEUROBIOLOGICAL MODEL OF MEMORY IMPAIRMENT IN LATE-LIFE MAJOR DEPRESSIVE DISORDER

2017 ◽  
Vol 13 (7S_Part_28) ◽  
pp. P1332-P1333
Author(s):  
Davide Bruno ◽  
Jay Nierenberg ◽  
Michel J. Grothe ◽  
Domenico Pratico ◽  
Anilkumar Pillai ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Memory Impairment ◽  
Late Life ◽  
Major Depressive ◽  
Neurobiological Model

Acute and Long-term Treatment of Late-Life Major Depressive Disorder

2012 ◽  
pp. 1 ◽  
Author(s):  
Michael Robinson ◽  
Tina Myers Oakes ◽  
Joel Raskin ◽  
Peng Liu ◽  
Scarlett Shoemaker ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Late Life ◽  
Term Treatment ◽  
Major Depressive ◽  
Long Term Treatment

Role of the serotonin transporter gene locus in the response to SSRI treatment of major depressive disorder in late life

2015 ◽  
Vol 29 (5) ◽  
pp. 623-633 ◽  
Author(s):  
Davide Seripa ◽  
Andrea Pilotto ◽  
Giulia Paroni ◽  
Andrea Fontana ◽  
Grazia D’Onofrio ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Serotonin Transporter ◽  
Gene Locus ◽  
Late Life ◽  
Serotonin Transporter Gene ◽  
Transporter Gene ◽  
Major Depressive ◽  
Ssri Treatment

Acute and Long-term Treatment of Late-Life Major Depressive Disorder: Duloxetine Versus Placebo

2014 ◽  
Vol 22 (1) ◽  
pp. 34-45 ◽  
Author(s):  
Michael Robinson ◽  
Tina Myers Oakes ◽  
Joel Raskin ◽  
Peng Liu ◽  
Scarlett Shoemaker ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Late Life ◽  
Term Treatment ◽  
Major Depressive ◽  
Long Term Treatment

Vascular Disease and Trajectories of Late-life Major Depressive Disorder in Secondary Psychiatric Care

2017 ◽  
Vol 41 (S1) ◽  
pp. s242-s242
Author(s):  
K. Musliner ◽  
T. Laursen ◽  
T. Munk-Olsen ◽  
X. Liu ◽  
P. Mortensen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Cerebrovascular Disease ◽  
Latent Class ◽  
Psychiatric Treatment ◽  
Psychiatric Hospitals ◽  
Late Life ◽  
Major Depressive ◽  
Related Risk

ObjectivesTo examine 5 years trajectories of secondary-treated late-life major depressive disorder (MDD), and evaluate whether pre-existing cerebrovascular disease and related risk factors are associated with more severe trajectories of late-life MDD.MethodsData were obtained from Danish registers. The sample included 11,184 adults ≥ 60 at index MDD diagnosis. Trajectories of in or outpatient contact at psychiatric hospitals for MDD over the 5 years period following index MDD diagnosis were modeled using latent class growth analysis. Risk factors included cerebrovascular disease, cardiovascular disease, hypertension, diabetes, and vascular dementia defined based on hospital diagnoses and prescription medications, demographic characteristics and characteristics of the index MDD diagnosis.ResultsThe final model included classes with consistently low (66%), high decreasing (19%), consistently high (9%) and moderate fluctuating (6%) probabilities of contact at a psychiatric hospital for MDD during the 5 year period following the index MDD diagnosis (Fig. 1). Older age, greater severity, inpatient treatment and > 12 antidepressant prescriptions within 5 years of the index MDD diagnosis predicted membership in more severe trajectory classes. Cerebrovascular disease and related risk factors were not associated with trajectory class membership.ConclusionsA substantial proportion (34%) of individuals diagnosed with MDD in late-life require specialized psychiatric treatment for extended periods of time. We found no evidence that cerebrovascular disease or related risk factors predicted course trajectories in secondary-treated late-life MDD.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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