scholarly journals The effects of antidepressant treatment on resting-state functional brain networks in patients with major depressive disorder

2014 ◽  
Vol 36 (2) ◽  
pp. 768-778 ◽  
Author(s):  
Li Wang ◽  
Mingrui Xia ◽  
Ke Li ◽  
Yawei Zeng ◽  
Yunai Su ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Resting State ◽  
Antidepressant Treatment ◽  
Brain Networks ◽  
Major Depressive ◽  
Functional Brain ◽  
Functional Brain Networks

scholarly journals Effect of SSRIs on Resting-State Functional Brain Networks in Adolescents with Major Depressive Disorder

2021 ◽  
Vol 10 (19) ◽  
pp. 4322
Author(s):  
Shu-Hsien Chu ◽  
Keshab K. Parhi ◽  
Melinda Westlund Schreiner ◽  
Christophe Lenglet ◽  
Bryon A. Mueller ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Resting State ◽  
Topological Analysis ◽  
Brain Networks ◽  
Small Sample ◽  
Clustering Coefficient ◽  
Middle Frontal Gyrus ◽  
Placebo Control ◽  
Major Depressive

Investigation of brain changes in functional connectivity and functional network topology from receiving 8-week selective serotonin reuptake inhibitor (SSRI) treatments is conducted in 12 unmedicated adolescents with major depressive disorder (MDD) by using wavelet-filtered resting-state functional magnetic resonance imaging (fMRI). Changes are observed in frontal-limbic, temporal, and default mode networks. In particular, topological analysis shows, at the global scale and in the 0.12–0.25 Hz band, that the normalized clustering coefficient and smallworldness of brain networks decreased after treatment. Regional changes in clustering coefficient and efficiency were observed in the bilateral caudal middle frontal gyrus, rostral middle frontal gyrus, superior temporal gyrus, left pars triangularis, putamen, and right superior frontal gyrus. Furthermore, changes of nodal centrality and changes of connectivity associated with these frontal and temporal regions confirm the global topological alternations. Moreover, frequency dependence is observed from FDR-controlled subnetworks for the limbic-cortical connectivity change. In the high-frequency band, the altered connections involve mostly frontal regions, while the altered connections in the low-frequency bands spread to parietal and temporal areas. Due to the limitation of small sample sizes and lack of placebo control, these preliminary findings require confirmation with future work using larger samples. Confirmation of biomarkers associated with treatment could suggest potential avenues for clinical applications such as tracking treatment response and neurobiologically informed treatment optimization.

scholarly journals Understanding complex functional wiring patterns in major depressive disorder through brain functional connectome

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhiyun Yang ◽  
Lingyu Jian ◽  
Hui Qiu ◽  
Chaoqing Zhang ◽  
Song Cheng ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Large Scale ◽  
Suicide Attempts ◽  
Brain Networks ◽  
Major Depressive ◽  
Functional Connectome ◽  
Antidepressant Efficacy ◽  
Functional Brain Networks ◽  
Positive Valence

AbstractBrain function relies on efficient communications between distinct brain systems. The pathology of major depressive disorder (MDD) damages functional brain networks, resulting in cognitive impairment. Here, we reviewed the associations between brain functional connectome changes and MDD pathogenesis. We also highlighted the utility of brain functional connectome for differentiating MDD from other similar psychiatric disorders, predicting recurrence and suicide attempts in MDD, and evaluating treatment responses. Converging evidence has now linked aberrant brain functional network organization in MDD to the dysregulation of neurotransmitter signaling and neuroplasticity, providing insights into the neurobiological mechanisms of the disease and antidepressant efficacy. Widespread connectome dysfunctions in MDD patients include multiple, large-scale brain networks as well as local disturbances in brain circuits associated with negative and positive valence systems and cognitive functions. Although the clinical utility of the brain functional connectome remains to be realized, recent findings provide further promise that research in this area may lead to improved diagnosis, treatments, and clinical outcomes of MDD.

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