Electroconvulsive therapy treatment responsive multimodal brain networks. Issue 7 (6th January 2020)
- Record Type:
- Journal Article
- Title:
- Electroconvulsive therapy treatment responsive multimodal brain networks. Issue 7 (6th January 2020)
- Main Title:
- Electroconvulsive therapy treatment responsive multimodal brain networks
- Authors:
- Qi, Shile
Abbott, Christopher C.
Narr, Katherine L.
Jiang, Rongtao
Upston, Joel
McClintock, Shawn M.
Espinoza, Randall
Jones, Tom
Zhi, Dongmei
Sun, Hailun
Yang, Xiao
Sui, Jing
Calhoun, Vince D. - Abstract:
- Abstract: Electroconvulsive therapy is regarded as the most effective antidepressant treatment for severe and treatment‐resistant depressive episodes. Despite the efficacy of electroconvulsive therapy, the neurobiological underpinnings and mechanisms underlying electroconvulsive therapy induced antidepressant effects remain unclear. The objective of this investigation was to identify electroconvulsive therapy treatment responsive multimodal biomarkers with the 17‐item Hamilton Depression Rating Scale guided brain structure–function fusion in 118 patients with depressive episodes and 60 healthy controls. Results show that reduced fractional amplitude of low frequency fluctuations in the prefrontal cortex, insula and hippocampus, linked with increased gray matter volume in anterior cingulate, medial temporal cortex, insula, thalamus, caudate and hippocampus represent electroconvulsive therapy responsive covarying functional and structural brain networks. In addition, relative to nonresponders, responder‐specific electroconvulsive therapy related brain networks occur in frontal‐limbic network and are associated with successful therapeutic outcomes. Finally, electroconvulsive therapy responsive brain networks were unrelated to verbal declarative memory. Using a data‐driven, supervised‐learning method, we demonstrated that electroconvulsive therapy produces a remodeling of brain functional and structural covariance that was unique to antidepressant symptom response, but notAbstract: Electroconvulsive therapy is regarded as the most effective antidepressant treatment for severe and treatment‐resistant depressive episodes. Despite the efficacy of electroconvulsive therapy, the neurobiological underpinnings and mechanisms underlying electroconvulsive therapy induced antidepressant effects remain unclear. The objective of this investigation was to identify electroconvulsive therapy treatment responsive multimodal biomarkers with the 17‐item Hamilton Depression Rating Scale guided brain structure–function fusion in 118 patients with depressive episodes and 60 healthy controls. Results show that reduced fractional amplitude of low frequency fluctuations in the prefrontal cortex, insula and hippocampus, linked with increased gray matter volume in anterior cingulate, medial temporal cortex, insula, thalamus, caudate and hippocampus represent electroconvulsive therapy responsive covarying functional and structural brain networks. In addition, relative to nonresponders, responder‐specific electroconvulsive therapy related brain networks occur in frontal‐limbic network and are associated with successful therapeutic outcomes. Finally, electroconvulsive therapy responsive brain networks were unrelated to verbal declarative memory. Using a data‐driven, supervised‐learning method, we demonstrated that electroconvulsive therapy produces a remodeling of brain functional and structural covariance that was unique to antidepressant symptom response, but not linked to memory impairment. … (more)
- Is Part Of:
- Human brain mapping. Volume 41:Issue 7(2020)
- Journal:
- Human brain mapping
- Issue:
- Volume 41:Issue 7(2020)
- Issue Display:
- Volume 41, Issue 7 (2020)
- Year:
- 2020
- Volume:
- 41
- Issue:
- 7
- Issue Sort Value:
- 2020-0041-0007-0000
- Page Start:
- 1775
- Page End:
- 1785
- Publication Date:
- 2020-01-06
- Subjects:
- depressive episodes -- electroconvulsive therapy -- multimodal fusion -- treatment response
Brain mapping -- Periodicals
611.81 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0193 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/hbm.24910 ↗
- Languages:
- English
- ISSNs:
- 1065-9471
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4336.031000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 13259.xml