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Neuronal connectivity in major depressive disorder : a systematic review
AuthorHelm, Katharina ; Viol, Kathrin ; Weiger, Thomas M ; Grefkes, Christian ; del Monte, Damir ; Schiepek, Günter
Published in
Neuropsychiatric Disease and Treatment, London, 2018, Vol. 14, page 2715-2737
PublishedLondon : Dove Medical Press, 2018
Document typeJournal Article
Keywords (EN)EEG / MDD / effective connectivity / fMRI / functional connectivity / major depressive disorder / structural connectivity
URNurn:nbn:at:at-ubs:3-10924 Persistent Identifier (URN)
 The work is publicly available
Neuronal connectivity in major depressive disorder [2.72 mb]
Abstract (English)

Background: The causes of major depressive disorder (MDD), as one of the most common psychiatric disorders, still remain unclear. Neuroimaging has substantially contributed to understanding the putative neuronal mechanisms underlying depressed mood and motivational as well as cognitive impairments in depressed individuals. In particular, analyses addressing changes in interregional connectivity seem to be a promising approach to capture the effects of MDD at a systems level. However, a plethora of different, sometimes contradicting results have been published so far, making general conclusions difficult. Here we provide a systematic overview about connectivity studies published in the field over the last decade considering different methodological as well as clinical issues.

Methods: A systematic review was conducted extracting neuronal connectivity results from studies published between 2002 and 2015. The findings were summarized in tables and were graphically visualized.

Results: The review supports and summarizes the notion of an altered frontolimbic mood regulation circuitry in MDD patients, but also stresses the heterogeneity of the findings. The brain regions that are most consistently affected across studies are the orbitomedial prefrontal cortex, anterior cingulate cortex, amygdala, hippocampus, cerebellum and the basal ganglia.

Conclusion: The results on connectivity in MDD are very heterogeneous, partly due to different methods and study designs, but also due to the temporal dynamics of connectivity. While connectivity research is an important step toward a complex systems approach to brain functioning, future research should focus on the dynamics of functional and effective connectivity.

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