dc.contributor.author | Kandilarova, Sevdalina | |
dc.contributor.author | Stoyanov, Drozdstoy | |
dc.contributor.author | Kostianev, Stefan | |
dc.contributor.author | Specht, Karsten | |
dc.date.accessioned | 2019-03-07T14:46:25Z | |
dc.date.available | 2019-03-07T14:46:25Z | |
dc.date.issued | 2018-03-15 | |
dc.description.abstract | Depression has been associated with changes in both functional and effective connectivity of large scale brain networks, including the default mode network, executive
network, and salience network. However, studies of effective connectivity by means of
spectral dynamic causal modeling (spDCM) are still rare and the interaction between
the different resting state networks has not been investigated in detail. Thus, we aimed
at exploring differences in effective connectivity among eight right hemisphere brain
areas—anterior insula, inferior frontal gyrus, middle frontal gyrus (MFG), frontal eye field,
anterior cingulate cortex, superior parietal lobe, amygdala, and hippocampus, between
a group of healthy controls (<i>N</i> = 20) and medicated depressed patients (<i>N</i> = 20). We
found that patients not only had significantly reduced strength of the connection from
the anterior insula to the MFG (i.e., dorsolateral prefrontal cortex) but also a significant
connection between the amygdala and the anterior insula. Moreover, depression severity
correlated with connectivity of the hippocampal node. In conclusion, the results from
this resting state spDCM study support and enrich previous data on the role of the right
anterior insula in the pathophysiology of depression. Furthermore, our findings add to
the growing evidence of an association between depression severity and disturbances
of the hippocampal function in terms of impaired connectivity with other brain regions. | en_US |
dc.description | Source at <a href=https://doi.org/10.3389/fpsyt.2018.00083>https://doi.org/10.3389/fpsyt.2018.00083. </a> | en_US |
dc.identifier.citation | Kandilarova, S., Stoyanov, D., Kostianev, S. & Specht, K. (2018). Altered resting state effective connectivity of anterior insula in depression. <i>Frontiers in Psychiatry</i>, 9:83. https://doi.org/10.3389/fpsyt.2018.00083 | en_US |
dc.identifier.cristinID | FRIDAID 1591916 | |
dc.identifier.doi | 10.3389/fpsyt.2018.00083 | |
dc.identifier.issn | 1664-0640 | |
dc.identifier.uri | https://hdl.handle.net/10037/14898 | |
dc.language.iso | eng | en_US |
dc.publisher | Frontiers Media | en_US |
dc.relation.journal | Frontiers in Psychiatry | |
dc.rights.accessRights | openAccess | en_US |
dc.subject | depression | en_US |
dc.subject | brain networks | en_US |
dc.subject | effective connectivity | en_US |
dc.subject | resting state functional MRI | en_US |
dc.subject | spectral dynamic causal modeling | en_US |
dc.subject | hippocampus | en_US |
dc.subject | anterior insula | en_US |
dc.subject | dorsolateral prefrontal cortex | en_US |
dc.subject | VDP::Social science: 200::Psychology: 260 | en_US |
dc.subject | VDP::Samfunnsvitenskap: 200::Psykologi: 260 | en_US |
dc.title | Altered resting state effective connectivity of anterior insula in depression | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |