White Matter Anisotropy and Depression Symptoms in Patients with HIV

2008 ◽  
Vol 20 (4) ◽  
pp. 458-465 ◽  
Author(s):  
Clifford A. Smith ◽  
Glenn T. Stebbins ◽  
Russell E. Bartt ◽  
Harold A. Kessler ◽  
Oluwatoyin M. Adeyemi ◽  
...  
Author(s):  
G. Coll ◽  
E. de Schlichting ◽  
L. Sakka ◽  
J.-M. Garcier ◽  
H. Peyre ◽  
...  

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S903-S904
Author(s):  
Stephen Smagula ◽  
Tales Santini ◽  
Sarah Stahl ◽  
Tamer Ibrahim ◽  
Charles Reynolds ◽  
...  

Abstract Past research shows that major depression is associated with lower white matter integrity in fronto-limbic and other areas. But it is not known whether the integrity of these white matter connections is associated with subsyndromal depression symptoms, a marker of risk for major depression, in family dementia caregivers (dCGs) who reported stress. If specific aspects of white matter integrity are related to depression symptoms in this high-risk group, this could provide a biomarker of vulnerability or target for treatment. Participants included 41 dCGs (average age=69, standard deviation=6.4), who underwent a 7 Tesla 64-direction (12-minute) diffusion-weighted imaging sequence. Analyses compared dCGs with (n=20) and without (n=21) subsyndromal depression symptoms (nine-item Patient Health Questionnaire scores ≥5). Using fractional anisotropy (FA), we assessed differences in the integrity of 11 white matter aspects implicated in prior studies of major depression. We found that caregivers with subsyndromal depression had lower FA in tracts connecting to the posterior cingulate cortex (Cohen’s D=-0.9, p-value=0.006, FDR=0.03) and in white matter connecting the dorsolateral prefrontal cortex with the rostral cingulate (Cohen’s D=-1.2, p-value=0.0005, FDR=0.006). Thus, differences in the integrity of white matter (and related functions) reaching the posterior cingulate (autobiographical memory/planning) and connecting dorsolateral prefrontal and rostral cingulate regions (emotion re-appraisal) may contribute to depression vulnerability in dCGs. These observations require contextualizing further (e.g., assessing roles of depression history and other risk factors) for their meaning to be fully elucidated. Potentially, relationships between known risk factors (e.g., subjective stress) and depression emerge from or drive changes in white matter.


2010 ◽  
Vol 29 (3) ◽  
pp. 371-387 ◽  
Author(s):  
Nitin B. Bangera ◽  
Donald L. Schomer ◽  
Nima Dehghani ◽  
Istvan Ulbert ◽  
Sydney Cash ◽  
...  

2011 ◽  
Vol 130 (1-3) ◽  
pp. 57-67 ◽  
Author(s):  
Jason S. Schneiderman ◽  
Erin A. Hazlett ◽  
King-Wai Chu ◽  
Jane Zhang ◽  
Chelain R. Goodman ◽  
...  

2021 ◽  
pp. 1-10
Author(s):  
Yanjing Lu ◽  
Yifan Li ◽  
Qian Feng ◽  
Rong Shen ◽  
Hao Zhu ◽  
...  

<b><i>Background:</i></b> Altered white matter brain networks have been extensively studied in cerebral small vessel disease (SVD). However, there exists currently a deficiency of comprehending the performance of changes within the structural networks of the brain in cases with cerebral SVD and depression symptoms. The main aim of the present research is to study the network topology behaviors and features of rich-club organization in SVD patients using graph theory and diffusion tensor imaging (DTI) to characterize changes in the microstructure of the brain. <b><i>Methods:</i></b> DTI datasets were acquired from 26 SVD patients with symptoms of depression (SVD + D) and 26 SVD patients without symptoms of depression (SVD − D), and a series of neuropsychological assessments were completed. A structural network was created using a deterministic fiber tracking method. The analysis of rich-club was performed in company with analysis of the global network features of the network to characterize the topological properties of all subjects. <b><i>Results:</i></b> DTI data were obtained from SVD patients who manifested symptoms of depression (SVD + D) and from control SVD patients (SVD − D). In comparison with SVD − D patients, SVD + D cases demonstrated a diminished coefficient of clustering along with lower global efficiencies and longer path length characteristics. Rich-club analysis showed SVD + D patients had decreased feeder connectivity and local connectivity strengths compared to SVD − D patients. Our data also showed that the feeder connections in the brain correlated significantly with the severity of depression in SVD + D patients. <b><i>Conclusions:</i></b> Our study revealed that SVD patients with depressive symptoms have disrupted white matter networks that characteristically have reduced network efficiency compared to the networks in other SVD patients. Disrupted information interactions among the regions of nonrich-club and rich-club in SVD cases are related to the severity of depression. Our data suggest that DTI may be utilized as an appropriate biomarker for the diagnosis of depression in comorbid SVD patients.


PLoS ONE ◽  
2008 ◽  
Vol 3 (9) ◽  
pp. e3267 ◽  
Author(s):  
Warren D. Taylor ◽  
Maragatha Kuchibhatla ◽  
Martha E. Payne ◽  
James R. MacFall ◽  
Yvette I. Sheline ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document