Exploring cortical predictors of clinical response to electroconvulsive therapy in major depression

• Verfasst von: Schmitgen, Mike [VerfasserIn]
• Verfasst von: Kubera, Katharina Maria [VerfasserIn]
• Verfasst von: Depping, Malte S. [VerfasserIn]
• Verfasst von: Hirjak, Dusan [VerfasserIn]
• Verfasst von: Hofer, Stefan [VerfasserIn]
• Verfasst von: Hasenkamp, Julia H. [VerfasserIn]
• Verfasst von: Seidl, Ulrich [VerfasserIn]
• Verfasst von: Sartorius, Alexander [VerfasserIn]
• Verfasst von: Maier-Hein, Klaus H. [VerfasserIn]
• Verfasst von: Thomann, Philipp [VerfasserIn]
• Verfasst von: Wolf, Robert Christian [VerfasserIn]
• Titel: Exploring cortical predictors of clinical response to electroconvulsive therapy in major depression
• Verf.angabe: Mike M. Schmitgen, Katharina M. Kubera, Malte S. Depping, Henrike M. Nolte, Dusan Hirjak, Stefan Hofer, Julia H. Hasenkamp, Ulrich Seidl, Bram Stieltjes, Klaus H. Maier-Hein, Fabio Sambataro, Alexander Sartorius, Philipp A. Thomann, Robert C. Wolf
• Jahr: 2020
• Umfang: 9 S.
• Fussnoten: Published online: 5 July 2019 ; Gesehen am 31.03.2020
• Titel Quelle: Enthalten in: European archives of psychiatry and clinical neuroscience
• Ort Quelle: Darmstadt : Steinkopff, 1868
• Jahr Quelle: 2020
• Band/Heft Quelle: 270(2020), 2, Seite 253-261
• ISSN Quelle: 1433-8491
• DOI: doi:10.1007/s00406-019-01033-w
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1693618745

Abstract

Electroconvulsive therapy (ECT) is a rapid and highly effective treatment option for treatment-resistant major depressive disorder (TRD). The neural mechanisms underlying such beneficial effects are poorly understood. Exploring associations between changes of brain structure and clinical response is crucial for understanding ECT mechanisms of action and relevant for the validation of potential biomarkers that can facilitate the prediction of ECT efficacy. The aim of this explorative study was to identify cortical predictors of clinical response in TRD patients treated with ECT. We longitudinally investigated 12 TRD patients before and after ECT. Twelve matched healthy controls were studied cross sectionally. Demographical, clinical, and structural magnetic resonance imaging data at 3 T and multiple cortical markers derived from surface-based morphometry (SBM) analyses were considered. Multiple regression models were computed to identify predictors of clinical response to ECT, as reflected by Hamilton Depression Rating Scale (HAMD) score changes. Symptom severity differences pre-post-ECT were predicted by models including demographic data, clinical data and SBM of frontal, cingulate, and entorhinal structures. Using all-subsets regression, a model comprising HAMD score at baseline and cortical thickness of the left rostral anterior cingulate gyrus explained most variance in the data (multiple R2 = 0.82). The data suggest that SBM provides powerful measures for identifying biomarkers for ECT response in TRD. Rostral anterior cingulate thickness and HAMD score at baseline showed the greatest predictive power of clinical response, in contrast to cortical complexity, cortical gyrification, or demographical data.