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Background: Electroconvulsive therapy (ECT) is associated with volumetric enlargements of corticolimbic brain regions. However, the pattern of whole-brain structural alterations following ECT remains unresolved. Here, we examined the longitudinal effects of ECT on global and local variations in gray matter, white matter, and ventricle volumes in patients with major depressive disorder as well as predictors of ECT-related clinical response. Methods: Longitudinal magnetic resonance imaging and clinical data from the Global ECT-MRI Research Collaboration (GEMRIC) were used to investigate changes in white matter, gray matter, and ventricle volumes before and after ECT in 328 patients experiencing a major depressive episode. In addition, 95 nondepressed control subjects were scanned twice. We performed a mega-analysis of single subject data from 14 independent GEMRIC sites. Results: Volumetric increases occurred in 79 of 84 gray matter regions of interest. In total, the cortical volume increased by mean ± SD of 1.04 ± 1.03% (Cohen's d = 1.01, p < .001) and the subcortical gray matter volume increased by 1.47 ± 1.05% (d = 1.40, p < .001) in patients. The subcortical gray matter increase was negatively associated with total ventricle volume (Spearman's rank correlation ρ = −.44, p < .001), while total white matter volume remained unchanged (d = −0.05, p = .41). The changes were modulated by number of ECTs and mode of electrode placements. However, the gray matter volumetric enlargements were not associated with clinical outcome. Conclusions: The findings suggest that ECT induces gray matter volumetric increases that are broadly distributed. However, gross volumetric increases of specific anatomically defined regions may not serve as feasible biomarkers of clinical response.

Background Electroconvulsive therapy (ECT) is associated with volumetric enlargements of corticolimbic brain regions. However, the pattern of whole-brain structural alterations following ECT remains unresolved. Here, we examined the longitudinal effects of ECT on global and local variations in gray matter, white matter, and ventricle volumes in patients with major depressive disorder as well as predictors of ECT-related clinical response. Methods Longitudinal magnetic resonance imaging and clinical data from the Global ECT-MRI Research Collaboration (GEMRIC) were used to investigate changes in white matter, gray matter, and ventricle volumes before and after ECT in 328 patients experiencing a major depressive episode. In addition, 95 nondepressed control subjects were scanned twice. We performed a mega-analysis of single subject data from 14 independent GEMRIC sites. Results Volumetric increases occurred in 79 of 84 gray matter regions of interest. In total, the cortical volume increased by mean ± SD of 1.04 ± 1.03% (Cohen’s d = 1.01, p < .001) and the subcortical gray matter volume increased by 1.47 ± 1.05% (d = 1.40, p < .001) in patients. The subcortical gray matter increase was negatively associated with total ventricle volume (Spearman’s rank correlation ρ = −.44, p < .001), while total white matter volume remained unchanged (d = −0.05, p = .41). The changes were modulated by number of ECTs and mode of electrode placements. However, the gray matter volumetric enlargements were not associated with clinical outcome. Conclusions The findings suggest that ECT induces gray matter volumetric increases that are broadly distributed. However, gross volumetric increases of specific anatomically defined regions may not serve as feasible biomarkers of clinical response.

BACKGROUND: Electroconvulsive therapy (ECT) is associated with volumetric enlargements of corticolimbic brain regions. However, the pattern of whole-brain structural alterations following ECT remains unresolved. Here, we examined the longitudinal effects of ECT on global and local variations in gray matter, white matter, and ventricle volumes in patients with major depressive disorder as well as predictors of ECT-related clinical response. METHODS: Longitudinal magnetic resonance imaging and clinical data from the Global ECT-MRI Research Collaboration (GEMRIC) were used to investigate changes in white matter, gray matter, and ventricle volumes before and after ECT in 328 patients experiencing a major depressive episode. In addition, 95 nondepressed control subjects were scanned twice. We performed a mega-analysis of single subject data from 14 independent GEMRIC sites. RESULTS: Volumetric increases occurred in 79 of 84 gray matter regions of interest. In total, the cortical volume increased by mean +/- SD of 1.04 +/- 1.03% (Cohens d = 1.01, p amp;lt; .001) and the subcortical gray matter volume increased by 1.47 +/- 1.05% (d = 1.40, p amp;lt; .001) in patients. The subcortical gray matter increase was negatively associated with total ventricle volume (Spearmans rank correlation rho = -.44, p amp;lt; .001), while total white matter volume remained unchanged (d = -0.05, p = .41). The changes were modulated by number of ECTs and mode of electrode placements. However, the gray matter volumetric enlargements were not associated with clinical outcome. CONCLUSIONS: The findings suggest that ECT induces gray matter volumetric increases that are broadly distributed. However, gross volumetric increases of specific anatomically defined regions may not serve as feasible biomarkers of clinical response., Funding Agencies|Western Norway Regional Health Authority [911986, 912238]; University of Bergen; Fulbright Program; National Institute of Mental HealthUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute of Mental Health (NIMH) [MH092301, MH110008, U01 MH11826]; Interdisciplinary Center for Clinical Research of the Medical Faculty of Munster [Dan 3/012/17]; Lundbeck FoundationLundbeckfonden; Carlos III Health InstituteInstituto de Salud Carlos III [CPII16/00048]; Innovative Medical Research [RE111604, RE111722, RO1 MH111359, U24 DA041123]; German Research FoundationGerman Research Foundation (DFG) [FOR2107 DA1151/5-1, DA1151/5-2, SFB-TRR58]

BACKGROUND: Electroconvulsive therapy (ECT) is associated with volumetric enlargements of corticolimbic brain regions. However, the pattern of whole-brain structural alterations following ECT remains unresolved. Here, we examined the longitudinal effects of ECT on global and local variations in gray matter, white matter, and ventricle volumes in patients with major depressive disorder as well as predictors of ECT-related clinical response. METHODS: Longitudinal magnetic resonance imaging and clinical data from the Global ECT-MRI Research Collaboration (GEMRIC) were used to investigate changes in white matter, gray matter, and ventricle volumes before and after ECT in 328 patients experiencing a major depressive episode. In addition, 95 nondepressed control subjects were scanned twice. We performed a mega-analysis of single subject data from 14 independent GEMRIC sites. RESULTS: Volumetric increases occurred in 79 of 84 gray matter regions of interest. In total, the cortical volume increased by mean +/- SD of 1.04 +/- 1.03% (Cohens d = 1.01, p amp;lt; .001) and the subcortical gray matter volume increased by 1.47 +/- 1.05% (d = 1.40, p amp;lt; .001) in patients. The subcortical gray matter increase was negatively associated with total ventricle volume (Spearmans rank correlation rho = -.44, p amp;lt; .001), while total white matter volume remained unchanged (d = -0.05, p = .41). The changes were modulated by number of ECTs and mode of electrode placements. However, the gray matter volumetric enlargements were not associated with clinical outcome. CONCLUSIONS: The findings suggest that ECT induces gray matter volumetric increases that are broadly distributed. However, gross volumetric increases of specific anatomically defined regions may not serve as feasible biomarkers of clinical response., Funding Agencies|Western Norway Regional Health Authority [911986, 912238]; University of Bergen; Fulbright Program; National Institute of Mental HealthUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute of Mental Health (NIMH) [MH092301, MH110008, U01 MH11826]; Interdisciplinary Center for Clinical Research of the Medical Faculty of Munster [Dan 3/012/17]; Lundbeck FoundationLundbeckfonden; Carlos III Health InstituteInstituto de Salud Carlos III [CPII16/00048]; Innovative Medical Research [RE111604, RE111722, RO1 MH111359, U24 DA041123]; German Research FoundationGerman Research Foundation (DFG) [FOR2107 DA1151/5-1, DA1151/5-2, SFB-TRR58]

BACKGROUND: Electroconvulsive therapy (ECT) is associated with volumetric enlargements of corticolimbic brain regions. However, the pattern of whole-brain structural alterations following ECT remains unresolved. Here, we examined the longitudinal effects of ECT on global and local variations in gray matter, white matter, and ventricle volumes in patients with major depressive disorder as well as predictors of ECT-related clinical response. METHODS: Longitudinal magnetic resonance imaging and clinical data from the Global ECT-MRI Research Collaboration (GEMRIC) were used to investigate changes in white matter, gray matter, and ventricle volumes before and after ECT in 328 patients experiencing a major depressive episode. In addition, 95 nondepressed control subjects were scanned twice. We performed a mega-analysis of single subject data from 14 independent GEMRIC sites. RESULTS: Volumetric increases occurred in 79 of 84 gray matter regions of interest. In total, the cortical volume increased by mean +/- SD of 1.04 +/- 1.03% (Cohens d = 1.01, p amp;lt; .001) and the subcortical gray matter volume increased by 1.47 +/- 1.05% (d = 1.40, p amp;lt; .001) in patients. The subcortical gray matter increase was negatively associated with total ventricle volume (Spearmans rank correlation rho = -.44, p amp;lt; .001), while total white matter volume remained unchanged (d = -0.05, p = .41). The changes were modulated by number of ECTs and mode of electrode placements. However, the gray matter volumetric enlargements were not associated with clinical outcome. CONCLUSIONS: The findings suggest that ECT induces gray matter volumetric increases that are broadly distributed. However, gross volumetric increases of specific anatomically defined regions may not serve as feasible biomarkers of clinical response., Funding Agencies|Western Norway Regional Health Authority [911986, 912238]; University of Bergen; Fulbright Program; National Institute of Mental HealthUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute of Mental Health (NIMH) [MH092301, MH110008, U01 MH11826]; Interdisciplinary Center for Clinical Research of the Medical Faculty of Munster [Dan 3/012/17]; Lundbeck FoundationLundbeckfonden; Carlos III Health InstituteInstituto de Salud Carlos III [CPII16/00048]; Innovative Medical Research [RE111604, RE111722, RO1 MH111359, U24 DA041123]; German Research FoundationGerman Research Foundation (DFG) [FOR2107 DA1151/5-1, DA1151/5-2, SFB-TRR58]

BACKGROUND: Electroconvulsive therapy (ECT) is associated with volumetric enlargements of corticolimbic brain regions. However, the pattern of whole-brain structural alterations following ECT remains unresolved. Here, we examined the longitudinal effects of ECT on global and local variations in gray matter, white matter, and ventricle volumes in patients with major depressive disorder as well as predictors of ECT-related clinical response. METHODS: Longitudinal magnetic resonance imaging and clinical data from the Global ECT-MRI Research Collaboration (GEMRIC) were used to investigate changes in white matter, gray matter, and ventricle volumes before and after ECT in 328 patients experiencing a major depressive episode. In addition, 95 nondepressed control subjects were scanned twice. We performed a mega-analysis of single subject data from 14 independent GEMRIC sites. RESULTS: Volumetric increases occurred in 79 of 84 gray matter regions of interest. In total, the cortical volume increased by mean +/- SD of 1.04 +/- 1.03% (Cohens d = 1.01, p amp;lt; .001) and the subcortical gray matter volume increased by 1.47 +/- 1.05% (d = 1.40, p amp;lt; .001) in patients. The subcortical gray matter increase was negatively associated with total ventricle volume (Spearmans rank correlation rho = -.44, p amp;lt; .001), while total white matter volume remained unchanged (d = -0.05, p = .41). The changes were modulated by number of ECTs and mode of electrode placements. However, the gray matter volumetric enlargements were not associated with clinical outcome. CONCLUSIONS: The findings suggest that ECT induces gray matter volumetric increases that are broadly distributed. However, gross volumetric increases of specific anatomically defined regions may not serve as feasible biomarkers of clinical response., Funding Agencies|Western Norway Regional Health Authority [911986, 912238]; University of Bergen; Fulbright Program; National Institute of Mental HealthUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute of Mental Health (NIMH) [MH092301, MH110008, U01 MH11826]; Interdisciplinary Center for Clinical Research of the Medical Faculty of Munster [Dan 3/012/17]; Lundbeck FoundationLundbeckfonden; Carlos III Health InstituteInstituto de Salud Carlos III [CPII16/00048]; Innovative Medical Research [RE111604, RE111722, RO1 MH111359, U24 DA041123]; German Research FoundationGerman Research Foundation (DFG) [FOR2107 DA1151/5-1, DA1151/5-2, SFB-TRR58]

BACKGROUND: Electroconvulsive therapy (ECT) is associated with volumetric enlargements of corticolimbic brain regions. However, the pattern of whole-brain structural alterations following ECT remains unresolved. Here, we examined the longitudinal effects of ECT on global and local variations in gray matter, white matter, and ventricle volumes in patients with major depressive disorder as well as predictors of ECT-related clinical response. METHODS: Longitudinal magnetic resonance imaging and clinical data from the Global ECT-MRI Research Collaboration (GEMRIC) were used to investigate changes in white matter, gray matter, and ventricle volumes before and after ECT in 328 patients experiencing a major depressive episode. In addition, 95 nondepressed control subjects were scanned twice. We performed a mega-analysis of single subject data from 14 independent GEMRIC sites. RESULTS: Volumetric increases occurred in 79 of 84 gray matter regions of interest. In total, the cortical volume increased by mean +/- SD of 1.04 +/- 1.03% (Cohens d = 1.01, p amp;lt; .001) and the subcortical gray matter volume increased by 1.47 +/- 1.05% (d = 1.40, p amp;lt; .001) in patients. The subcortical gray matter increase was negatively associated with total ventricle volume (Spearmans rank correlation rho = -.44, p amp;lt; .001), while total white matter volume remained unchanged (d = -0.05, p = .41). The changes were modulated by number of ECTs and mode of electrode placements. However, the gray matter volumetric enlargements were not associated with clinical outcome. CONCLUSIONS: The findings suggest that ECT induces gray matter volumetric increases that are broadly distributed. However, gross volumetric increases of specific anatomically defined regions may not serve as feasible biomarkers of clinical response., Funding Agencies|Western Norway Regional Health Authority [911986, 912238]; University of Bergen; Fulbright Program; National Institute of Mental HealthUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute of Mental Health (NIMH) [MH092301, MH110008, U01 MH11826]; Interdisciplinary Center for Clinical Research of the Medical Faculty of Munster [Dan 3/012/17]; Lundbeck FoundationLundbeckfonden; Carlos III Health InstituteInstituto de Salud Carlos III [CPII16/00048]; Innovative Medical Research [RE111604, RE111722, RO1 MH111359, U24 DA041123]; German Research FoundationGerman Research Foundation (DFG) [FOR2107 DA1151/5-1, DA1151/5-2, SFB-TRR58]

Recent longitudinal neuroimaging studies in patients with electroconvulsive therapy (ECT) suggest local effects of electric stimulation (lateralized) occur in tandem with global seizure activity (generalized). We used electric field (EF) modeling in 151 ECT treated patients with depression to determine the regional relationships between EF, unbiased longitudinal volume change, and antidepressant response across 85 brain regions. The majority of regional volumes increased significantly, and volumetric changes correlated with regional electric field (t = 3.77, df = 83, r = 0.38, p=0.0003). After controlling for nuisance variables (age, treatment number, and study site), we identified two regions (left amygdala and left hippocampus) with a strong relationship between EF and volume change (FDR corrected p<0.01). However, neither structural volume changes nor electric field was associated with antidepressant response. In summary, we showed that high electrical fields are strongly associated with robust volume changes in a dose-dependent fashion.

Recent longitudinal neuroimaging studies in patients with electroconvulsive therapy (ECT) suggest local effects of electric stimulation (lateralized) occur in tandem with global seizure activity (generalized). We used electric field (EF) modeling in 151 ECT treated patients with depression to determine the regional relationships between EF, unbiased longitudinal volume change, and antidepressant response across 85 brain regions. The majority of regional volumes increased significantly, and volumetric changes correlated with regional electric field (t = 3.77, df = 83, r = 0.38, p=0.0003). After controlling for nuisance variables (age, treatment number, and study site), we identified two regions (left amygdala and left hippocampus) with a strong relationship between EF and volume change (FDR corrected p<0.01). However, neither structural volume changes nor electric field was associated with antidepressant response. In summary, we showed that high electrical fields are strongly associated with robust volume changes in a dose-dependent fashion.

BackgroundHippocampal enlargements are commonly reported after electroconvulsive therapy (ECT). To clarify mechanisms, we examined if ECT-induced hippocampal volume change relates to dose (number of ECT sessions and electrode placement) and acts as a biomarker of clinical outcome.MethodsLongitudinal neuroimaging and clinical data from 10 independent sites participating in the Global ECT-Magnetic Resonance Imaging Research Collaboration (GEMRIC) were obtained for mega-analysis. Hippocampal volumes were extracted from structural magnetic resonance images, acquired before and after patients (n = 281) experiencing a major depressive episode completed an ECT treatment series using right unilateral and bilateral stimulation. Untreated nondepressed control subjects (n = 95) were scanned twice.ResultsThe linear component of hippocampal volume change was 0.28% (SE 0.08) per ECT session (p < .001). Volume change varied by electrode placement in the left hippocampus (bilateral, 3.3 ± 2.2%, d = 1.5; right unilateral, 1.6 ± 2.1%, d = 0.8; p < .0001) but not the right hippocampus (bilateral, 3.0 ± 1.7%, d = 1.8; right unilateral, 2.7 ± 2.0%, d = 1.4; p = .36). Volume change for electrode placement per ECT session varied similarly by hemisphere. Individuals with greater treatment-related volume increases had poorer outcomes (Montgomery-Åsberg Depression Rating Scale change -1.0 [SE 0.35], per 1% volume increase, p = .005), although the effects were not significant after controlling for ECT number (slope -0.69 [SE 0.38], p = .069).ConclusionsThe number of ECT sessions and electrode placement impacts the extent and laterality of hippocampal enlargement, but volume change is not positively associated with clinical outcome. The results suggest that the high efficacy of ECT is not explained by hippocampal enlargement, which alone might not serve as a viable biomarker for treatment outcome.

Contains fulltext : 195151.pdf (publisher's version ) (Closed access)

BackgroundHippocampal enlargements are commonly reported after electroconvulsive therapy (ECT). To clarify mechanisms, we examined if ECT-induced hippocampal volume change relates to dose (number of ECT sessions and electrode placement) and acts as a biomarker of clinical outcome.MethodsLongitudinal neuroimaging and clinical data from 10 independent sites participating in the Global ECT-Magnetic Resonance Imaging Research Collaboration (GEMRIC) were obtained for mega-analysis. Hippocampal volumes were extracted from structural magnetic resonance images, acquired before and after patients (n = 281) experiencing a major depressive episode completed an ECT treatment series using right unilateral and bilateral stimulation. Untreated nondepressed control subjects (n = 95) were scanned twice.ResultsThe linear component of hippocampal volume change was 0.28% (SE 0.08) per ECT session (p < .001). Volume change varied by electrode placement in the left hippocampus (bilateral, 3.3 ± 2.2%, d = 1.5; right unilateral, 1.6 ± 2.1%, d = 0.8; p < .0001) but not the right hippocampus (bilateral, 3.0 ± 1.7%, d = 1.8; right unilateral, 2.7 ± 2.0%, d = 1.4; p = .36). Volume change for electrode placement per ECT session varied similarly by hemisphere. Individuals with greater treatment-related volume increases had poorer outcomes (Montgomery-Åsberg Depression Rating Scale change -1.0 [SE 0.35], per 1% volume increase, p = .005), although the effects were not significant after controlling for ECT number (slope -0.69 [SE 0.38], p = .069).ConclusionsThe number of ECT sessions and electrode placement impacts the extent and laterality of hippocampal enlargement, but volume change is not positively associated with clinical outcome. The results suggest that the high efficacy of ECT is not explained by hippocampal enlargement, which alone might not serve as a viable biomarker for treatment outcome.

Contains fulltext : 195151.pdf (publisher's version ) (Closed access)

Contains fulltext : 195151.pdf (publisher's version ) (Closed access)

Background: Late-life depression is associated with premature mortality, however, little is known whether excess mortality rates of depression have changed over time. This study aims to identify and explain secular trends in excess mortality of major depressive disorder (MDD) and subthreshold depression (SUBD). Methods: Cohort-sequential-longitudinal study of 4084 community-dwelling older adults in the Netherlands based on data from the Longitudinal Aging Study Amsterdam (LASA). Six measurement cycles were included from 1992/93 until 2008/09, each linked to the overall 5-year mortality, covering a 16-year time span. MDD and SUBD were identified using a two-stage screening procedure with the Center for Epidemiological Studies Depression Scale and the Diagnostic Interview Schedule. Age and sex were covariates. Education, health and lifestyle factors, and use of antidepressants were included as putative explanatory factors. Generalized Estimating Equations was used to investigate the association between the interaction ‘Depression × Time’ and 5-year mortality, and to find explanatory factors for the trend. Results: A downward trend in excess mortality of MDD was found (OR =.92, 95%-CI:.85–.99, P =.04), adjusted for age and sex, which could not be explained by education, health and lifestyle factors, nor antidepressants use. Sex differences in the trend were not found (P =.77). No trend in excess mortality of SUBD was found (OR = 1.01, 95%-CI:.97–1.04, P =.65). Limitations: The findings do not imply a similar trend for other countries. Conclusions: The results indicate a favorable development in excess mortality of community-dwelling older adults with MDD, while those with SUBD do not show a clear trend in excess mortality.

BACKGROUND: Studying secular trends in the exposure to risk and protective factors of depression and whether these trends are associated with secular trends in the prevalence of depression is important to estimate future healthcare demands and to identify targets for prevention.METHODS: Three birth cohorts of 55-64-year olds from the population-based Longitudinal Aging Study Amsterdam were examined using identical methods in 1992 (n = 944), 2002 (n = 964) and 2012 (n = 957). A two-stage screening design was used to identify subthreshold depression (SUBD) and major depressive disorder (MDD). Multinomial logistic regression analyses were used to identify secular trends in depression prevalence and to identify factors from the biopsychosocial domains of functioning that were associated with these trends.RESULTS: Compared with 1992, MDD became more prevalent in 2002 (OR 1.90, 95% CI 1.10-3.28, p = 0.022) and 2012 (OR 1.80, 95% CI 1.03-3.14, p = 0.039). This was largely attributable to an increase in the prevalence of chronic diseases and functional limitations. Socioeconomic and psychosocial improvements, including an increase in labor market participation, social support and mastery, hampered MDD rates to rise more and were also associated with a 32% decline of SUBD-rates in 2012 as compared with 2002 (OR 0.68, 95% CI 0.48-0.96, p = 0.03).CONCLUSIONS: Among late middle-aged adults, there is a substantial net increase of MDD, which is associated with deteriorating physical health. If morbidity and disability continue to increase, a further expansion of MDD rates may be expected. Improving socioeconomic and psychosocial conditions may benefit public health, as these factors were protective against a higher prevalence of both MDD and SUBD.

OBJECTIVES: To examine the six-year prognosis of patients with late-life depression and to identify prognostic factors of an unfavorable course.DESIGN AND SETTING: The Netherlands Study of Depression in Older Persons (NESDO) is a multisite naturalistic prospective cohort study with six-year follow-up.PARTICIPANTS: Three hundred seventy-eight clinically depressed patients (according to Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition Text Revision criteria) and 132 nondepressed comparisons were included at baseline between 2007 and 2010.MEASUREMENTS: Depression was measured by the Inventory of Depressive Symptomatology at 6-month intervals and a diagnostic interview at 2- and 6-year follow-up. Multinomial regression and mixed model analyses were both used to identify depression-related clinical, health, and psychosocial prognostic factors of an unfavorable course.RESULTS: Among depressed patients at baseline, 46.8% were lost to follow-up; 15.9% had an unfavorable course, i.e., chronic or recurrent; 24.6% had partial remission; and 12.7% had full remission at six-year follow-up. The relative risk of mortality in depressed patients was 2.5 (95% confidence interval 1.26-4.81) versus nondepressed comparisons. An unfavorable course of depression was associated with a younger age at depression onset; higher symptom severity of depression, pain, and neuroticism; and loneliness at baseline. Additionally, partial remission was associated with chronic diseases and loneliness at baseline when compared with full remission.CONCLUSIONS: The long-term prognosis of late-life depression is poor with regard to mortality and course of depression. Chronic diseases, loneliness, and pain may be used as putative targets for optimizing prevention and treatment strategies for relapse and chronicity.

BACKGROUND: Hippocampal enlargements are commonly reported after electroconvulsive therapy (ECT). To clarify mechanisms, we examined if ECT-induced hippocampal volume change relates to dose (number of ECT sessions and electrode placement) and acts as a biomarker of clinical outcome.METHODS: Longitudinal neuroimaging and clinical data from 10 independent sites participating in the Global ECT-Magnetic Resonance Imaging Research Collaboration (GEMRIC) were obtained for mega-analysis. Hippocampal volumes were extracted from structural magnetic resonance images, acquired before and after patients (n = 281) experiencing a major depressive episode completed an ECT treatment series using right unilateral and bilateral stimulation. Untreated nondepressed control subjects (n = 95) were scanned twice.RESULTS: The linear component of hippocampal volume change was 0.28% (SE 0.08) per ECT session (p < .001). Volume change varied by electrode placement in the left hippocampus (bilateral, 3.3 ± 2.2%, d = 1.5; right unilateral, 1.6 ± 2.1%, d = 0.8; p < .0001) but not the right hippocampus (bilateral, 3.0 ± 1.7%, d = 1.8; right unilateral, 2.7 ± 2.0%, d = 1.4; p = .36). Volume change for electrode placement per ECT session varied similarly by hemisphere. Individuals with greater treatment-related volume increases had poorer outcomes (Montgomery-Åsberg Depression Rating Scale change -1.0 [SE 0.35], per 1% volume increase, p = .005), although the effects were not significant after controlling for ECT number (slope -0.69 [SE 0.38], p = .069).CONCLUSIONS: The number of ECT sessions and electrode placement impacts the extent and laterality of hippocampal enlargement, but volume change is not positively associated with clinical outcome. The results suggest that the high efficacy of ECT is not explained by hippocampal enlargement, which alone might not serve as a viable biomarker for treatment outcome.

BACKGROUND: Hippocampal enlargements are commonly reported after electroconvulsive therapy (ECT). To clarify mechanisms, we examined if ECT-induced hippocampal volume change relates to dose (number of ECT sessions and electrode placement) and acts as a biomarker of clinical outcome.METHODS: Longitudinal neuroimaging and clinical data from 10 independent sites participating in the Global ECT-Magnetic Resonance Imaging Research Collaboration (GEMRIC) were obtained for mega-analysis. Hippocampal volumes were extracted from structural magnetic resonance images, acquired before and after patients (n = 281) experiencing a major depressive episode completed an ECT treatment series using right unilateral and bilateral stimulation. Untreated nondepressed control subjects (n = 95) were scanned twice.RESULTS: The linear component of hippocampal volume change was 0.28% (SE 0.08) per ECT session (p < .001). Volume change varied by electrode placement in the left hippocampus (bilateral, 3.3 ± 2.2%, d = 1.5; right unilateral, 1.6 ± 2.1%, d = 0.8; p < .0001) but not the right hippocampus (bilateral, 3.0 ± 1.7%, d = 1.8; right unilateral, 2.7 ± 2.0%, d = 1.4; p = .36). Volume change for electrode placement per ECT session varied similarly by hemisphere. Individuals with greater treatment-related volume increases had poorer outcomes (Montgomery-Åsberg Depression Rating Scale change -1.0 [SE 0.35], per 1% volume increase, p = .005), although the effects were not significant after controlling for ECT number (slope -0.69 [SE 0.38], p = .069).CONCLUSIONS: The number of ECT sessions and electrode placement impacts the extent and laterality of hippocampal enlargement, but volume change is not positively associated with clinical outcome. The results suggest that the high efficacy of ECT is not explained by hippocampal enlargement, which alone might not serve as a viable biomarker for treatment outcome.

Background: Hippocampal enlargements are commonly reported following electroconvulsive therapy (ECT). To clarify mechanisms, we examined if ECT induced hippocampal volume change relates to dose (number of ECT sessions and electrode placement) and acts as a biomarker of clinical outcome. Methods: Longitudinal neuroimaging and clinical data from ten independent sites participating in the Global ECT-MRI Research Collaboration were obtained for mega analysis. Hippocampal volumes were extracted from structural MR images, acquired before and after patients (n=281) experiencing a major depressive episode completed an ECT treatment series using right unilateral (RUL) and bilateral (BL) stimulation. Untreated non-depressed controls (n=95) were scanned twice. Results: The linear component of hippocampal volume change was 0.28%, 0.08 SE, per ECT session, p<0.001. Volume change varied by electrode placement in the left (BL: 3.3 ± 2.2%, d=1.5; RUL: 1.6 ± 2.1%, d=0.8; p<0.0001), but not the right hippocampus (BL: 3.0 ± 1.7%, d=1.8; RUL: 2.7 ± 2.0%, d=1.4; p=0.36,). Volume change for electrode placement per ECT session varied similarly by hemisphere. Individuals with greater treatment-related volume increases had poorer outcomes (MADRS change -1.0, 0.35 SE, per 1% volume increase, p=0.005), although effects were not significant after controlling for ECT number (slope: -0.69, 0.38 SE, p=0.069). Conclusions: The number of ECT sessions and electrode placement impacts the extent and laterality of hippocampal enlargement, but volume change is not positively associated with clinical outcome. Results suggest the high efficacy of ECT is not explained by hippocampal enlargement, which alone, might not serve as a viable biomarker for treatment outcome.

Major depression, currently the world's primary cause of disability, leads to profound personal suffering and increased risk of suicide. Unfortunately, the success of antidepressant treatment varies amongst individuals and can take weeks to months in those who respond. Electroconvulsive therapy (ECT), generally prescribed for the most severely depressed and when standard treatments fail, produces a more rapid response and remains the most effective intervention for severe depression. Exploring the neurobiological effects of ECT is thus an ideal approach to better understand the mechanisms of successful therapeutic response. Though several recent neuroimaging studies show structural and functional changes associated with ECT, not all brain changes associate with clinical outcome. Larger studies that can address individual differences in clinical and treatment parameters may better target biological factors relating to or predictive of ECT-related therapeutic response. We have thus formed the Global ECT-MRI Research Collaboration (GEMRIC) that aims to combine longitudinal neuroimaging as well as clinical, behavioral and other physiological data across multiple independent sites. Here, we summarize the ECT sample characteristics from currently participating sites, and the common data-repository and standardized image analysis pipeline developed for this initiative. This includes data harmonization across sites and MRI platforms, and a method for obtaining unbiased estimates of structural change based on longitudinal measurements with serial MRI scans. The optimized analysis pipeline, together with the large and heterogeneous combined GEMRIC dataset, will provide new opportunities to elucidate the mechanisms of ECT response and the factors mediating and predictive of clinical outcomes, which may ultimately lead to more effective personalized treatment approaches.

Major depression, currently the world's primary cause of disability, leads to profound personal suffering and increased risk of suicide. Unfortunately, the success of antidepressant treatment varies amongst individuals and can take weeks to months in those who respond. Electroconvulsive therapy (ECT), generally prescribed for the most severely depressed and when standard treatments fail, produces a more rapid response and remains the most effective intervention for severe depression. Exploring the neurobiological effects of ECT is thus an ideal approach to better understand the mechanisms of successful therapeutic response. Though several recent neuroimaging studies show structural and functional changes associated with ECT, not all brain changes associate with clinical outcome. Larger studies that can address individual differences in clinical and treatment parameters may better target biological factors relating to or predictive of ECT-related therapeutic response. We have thus formed the Global ECT-MRI Research Collaboration (GEMRIC) that aims to combine longitudinal neuroimaging as well as clinical, behavioral and other physiological data across multiple independent sites. Here, we summarize the ECT sample characteristics from currently participating sites, and the common data-repository and standardized image analysis pipeline developed for this initiative. This includes data harmonization across sites and MRI platforms, and a method for obtaining unbiased estimates of structural change based on longitudinal measurements with serial MRI scans. The optimized analysis pipeline, together with the large and heterogeneous combined GEMRIC dataset, will provide new opportunities to elucidate the mechanisms of ECT response and the factors mediating and predictive of clinical outcomes, which may ultimately lead to more effective personalized treatment approaches.

With the increase in aging all over the world, and the elderly population nearly tripling from 524 million (8% of the world's population) in 2010 to 1.5 billion (16% of the world's population) in 2050, we will face new challenges and opportunities in providing healthcare. In 2050, it is estimated that Europe will see an increase of 70% in elderly population aged over 65 years, and 170% in those aged over 80 years (World Health Organization (WHO), 2011). It is vital to respond to the needs of this emerging population and the consequent rise in chronic diseases, especially dementia and mental health disorders, which will overload the healthcare system, as well as raise health and social costs, and demand new policies from national governments (World Health Organization, 2012). We urgently need to know how to organize healthcare for elderly people in the years to come

Major depression, currently the world's primary cause of disability, leads to profound personal suffering and increased risk of suicide. Unfortunately, the success of antidepressant treatment varies amongst individuals and can take weeks to months in those who respond. Electroconvulsive therapy (ECT), generally prescribed for the most severely depressed and when standard treatments fail, produces a more rapid response and remains the most effective intervention for severe depression. Exploring the neurobiological effects of ECT is thus an ideal approach to better understand the mechanisms of successful therapeutic response. Though several recent neuroimaging studies show structural and functional changes associated with ECT, not all brain changes associate with clinical outcome. Larger studies that can address individual differences in clinical and treatment parameters may better target biological factors relating to or predictive of ECT-related therapeutic response. We have thus formed the Global ECT-MRI Research Collaboration (GEMRIC) that aims to combine longitudinal neuroimaging as well as clinical, behavioral and other physiological data across multiple independent sites. Here, we summarize the ECT sample characteristics from currently participating sites, and the common data-repository and standardized image analysis pipeline developed for this initiative. This includes data harmonization across sites and MRI platforms, and a method for obtaining unbiased estimates of structural change based on longitudinal measurements with serial MRI scans. The optimized analysis pipeline, together with the large and heterogeneous combined GEMRIC dataset, will provide new opportunities to elucidate the mechanisms of ECT response and the factors mediating and predictive of clinical outcomes, which may ultimately lead to more effective personalized treatment approaches.

Major depression, currently the worlds primary cause of disability, leads to profound personal suffering and increased risk of suicide. Unfortunately, the success of antidepressant treatment varies amongst individuals and can take weeks to months in those who respond. Electroconvulsive therapy (ECT), generally prescribed for the most severely depressed and when standard treatments fail, produces a more rapid response and remains the most effective intervention for severe depression. Exploring the neurobiological effects of ECT is thus an ideal approach to better understand the mechanisms of successful therapeutic response. Though several recent neuroimaging studies show structural and functional changes associated with ECT, not all brain changes associate with clinical outcome. Larger studies that can address individual differences in clinical and treatment parameters may better target biological factors relating to or predictive of ECT-related therapeutic response. We have thus formed the Global ECT-MRI Research Collaboration (GEMRIC) that aims to combine longitudinal neuroimaging as well as clinical, behavioral and other physiological data across multiple independent sites. Here, we summarize the ECT sample characteristics from currently participating sites, and the common data-repository and standardized image analysis pipeline developed for this initiative. This includes data harmonization across sites and MRI platforms, and a method for obtaining unbiased estimates of structural change based on longitudinal measurements with serial MRI scans. The optimized analysis pipeline, together with the large and heterogeneous combined GEMRIC dataset, will provide new opportunities to elucidate the mechanisms of ECT response and the factors mediating and predictive of clinical outcomes, which may ultimately lead to more effective personalized treatment approaches. (C) 2017 The Author(s). Published by Elsevier Inc., Funding Agencies|Western Norway Regional Health Authority; Haukeland University Hospital; University of Bergen, Norway; Lundbeck Foundation; German Research Foundation (DFG) [FOR2107, 1151/5-1]; Innovative Medizinische Forschung (IMF) [RE111604]; Centers of Biomedical Research Excellence [2P20GM103472-01]; Swiss National Science Foundation (NCCR Synapsy) [32003B_159780]; Foundation Parkinson Switzerland; Foundation Synapsis; Roger de Spoelberch Foundation; National Institute of Mental Health [R01MH092301, K24MH102743]; Partridge Foundation

Flora T Gossink,1,2 Everard GB Vijverberg,2,3 Welmoed Krudop,2 Philip Scheltens,2 Max L Stek,1 Yolande AL Pijnenburg,1,2 Annemiek Dols1,2 1Department of Old Age Psychiatry, GGZinGeest, 2Alzheimer Center & Department of Neurology, VU University Medical Center, Amsterdam, 3Department of Neurology, HagaZiekenhuis, The Hague, the Netherlands Background: Dementia is generally characterized by cognitive impairment that can be accompanied by psychotic symptoms; for example, visual hallucinations are a core feature of dementia with Lewy bodies, and delusions are often seen in Alzheimer’s disease. However, for behavioral variant of frontotemporal dementia (bvFTD), studies on the broad spectrum of psychotic symptoms are still lacking. The aim of this study was to systematically and prospectively subtype the wide spectrum of psychotic symptoms in probable and definite bvFTD.Methods: In this study, a commonly used and validated clinical scale that quantifies the broad spectrum of psychotic symptoms (Positive and Negative Symptom Scale) was used in patients with probable and definite bvFTD (n=22) and with a primary psychiatric disorder (n=35) in a late-onset frontal lobe cohort. Median symptom duration was 2.8 years, and the patients were prospectively followed for 2 years.Results: In total, 22.7% of bvFTD patients suffered from delusions, hallucinatory behavior, and suspiciousness, although the majority of the patients exhibited negative psychotic symptoms such as social and emotional withdrawal and blunted affect (95.5%) and formal thought disorders (81.8%). “Difficulty in abstract thinking” and “stereotypical thinking” (formal thought disorders) differentiated bvFTD from psychiatric disorders. The combined predictors difficulty in abstract thinking, stereotypical thinking, “anxiety”, “guilt feelings,” and “tension” explained 75.4% of variance in the diagnosis

Major depression, currently the world's primary cause of disability, leads to profound personal suffering and increased risk of suicide. Unfortunately, the success of antidepressant treatment varies amongst individuals and can take weeks to months in those who respond. Electroconvulsive therapy (ECT), generally prescribed for the most severely depressed and when standard treatments fail, produces a more rapid response and remains the most effective intervention for severe depression. Exploring the neurobiological effects of ECT is thus an ideal approach to better understand the mechanisms of successful therapeutic response. Though several recent neuroimaging studies show structural and functional changes associated with ECT, not all brain changes associate with clinical outcome. Larger studies that can address individual differences in clinical and treatment parameters may better target biological factors relating to or predictive of ECT-related therapeutic response. We have thus formed the Global ECT-MRI Research Collaboration (GEMRIC) that aims to combine longitudinal neuroimaging as well as clinical, behavioral and other physiological data across multiple independent sites. Here, we summarize the ECT sample characteristics from currently participating sites, and the common data-repository and standardized image analysis pipeline developed for this initiative. This includes data harmonization across sites and MRI platforms, and a method for obtaining unbiased estimates of structural change based on longitudinal measurements with serial MRI scans. The optimized analysis pipeline, together with the large and heterogeneous combined GEMRIC dataset, will provide new opportunities to elucidate the mechanisms of ECT response and the factors mediating and predictive of clinical outcomes, which may ultimately lead to more effective personalized treatment approaches.

Recently, the diagnostic criteria for the behavioral variant of frontotemporal dementia were revised. Although these criteria offer a relatively high sensitivity, their specificity is yet unknown. We describe a 54-year-old woman fulfilling criteria for both late-onset schizophrenia and probable behavioral variant frontotemporal dementia. Following an initial presentation with psychosis, she developed progressive apathy, compulsiveness, and executive dysfunction. Moreover, bilateral frontotemporal hypometabolism was seen on [(18)F]fludeoxyglucose-positron emission tomography. A post-mortem diagnosis of schizophrenia was established, given the clinical picture combined with the pathological exclusion of a neurodegenerative cause. Our case suggests that patients with other brain disorders may meet the current diagnostic criteria for probable frontotemporal dementia. Further clinicopathological validation of these criteria is needed to determine their exact specificity.

Recently, the diagnostic criteria for the behavioral variant of frontotemporal dementia were revised. Although these criteria offer a relatively high sensitivity, their specificity is yet unknown. We describe a 54-year-old woman fulfilling criteria for both late-onset schizophrenia and probable behavioral variant frontotemporal dementia. Following an initial presentation with psychosis, she developed progressive apathy, compulsiveness, and executive dysfunction. Moreover, bilateral frontotemporal hypometabolism was seen on [(18)F]fludeoxyglucose-positron emission tomography. A post-mortem diagnosis of schizophrenia was established, given the clinical picture combined with the pathological exclusion of a neurodegenerative cause. Our case suggests that patients with other brain disorders may meet the current diagnostic criteria for probable frontotemporal dementia. Further clinicopathological validation of these criteria is needed to determine their exact specificity.

OBJECTIVES: Many older adults have significant depressive symptoms but few people access care for these. This study explores which personal, clinical and need factors facilitate or hinder acceptance of a new outreaching preference-led intervention programme.METHODS: From a sample of 9661 community-dwelling 65+ year olds, 244 persons with depressive symptoms according to the Patient Health Questionnaire-9 were included. Data on programme effectiveness in terms of care utilisation were collected. Associations between programme acceptance and personal, clinical and need factors were studied using quantitative (logistic regression analyses) and qualitative methods (semi-structured interviews with 26 subjects, who accepted (n = 20) or declined (n = 6) the programme).RESULTS: Fifty-six per cent (n = 137) took part in the interventions. Quantitative logistic regression analyses showed that participants were more often female, suffered from more severe depressive symptoms and perceived more loneliness. Qualitative analyses revealed that people accepting the intervention programme felt that medical terms as having a depressed mood were applicable to their situation, more often perceived their symptoms as hindering, felt lonely and more often perceived a need for care. They were more often advised by their general practitioner to participate than individuals who refused the interventions. Many participating individuals did not see a match between the intervention programme and their needs, especially with respect to meeting new people.CONCLUSION: Many older persons with depressive symptoms did not feel the need to take part in the programme. Providing support in alleviating loneliness and further adaptation to older adults' illness representations and perceptions when discussing depressive symptoms might enhance care utilisation.

OBJECTIVES: Many older adults have significant depressive symptoms but few people access care for these. This study explores which personal, clinical and need factors facilitate or hinder acceptance of a new outreaching preference-led intervention programme.METHODS: From a sample of 9661 community-dwelling 65+ year olds, 244 persons with depressive symptoms according to the Patient Health Questionnaire-9 were included. Data on programme effectiveness in terms of care utilisation were collected. Associations between programme acceptance and personal, clinical and need factors were studied using quantitative (logistic regression analyses) and qualitative methods (semi-structured interviews with 26 subjects, who accepted (n = 20) or declined (n = 6) the programme).RESULTS: Fifty-six per cent (n = 137) took part in the interventions. Quantitative logistic regression analyses showed that participants were more often female, suffered from more severe depressive symptoms and perceived more loneliness. Qualitative analyses revealed that people accepting the intervention programme felt that medical terms as having a depressed mood were applicable to their situation, more often perceived their symptoms as hindering, felt lonely and more often perceived a need for care. They were more often advised by their general practitioner to participate than individuals who refused the interventions. Many participating individuals did not see a match between the intervention programme and their needs, especially with respect to meeting new people.CONCLUSION: Many older persons with depressive symptoms did not feel the need to take part in the programme. Providing support in alleviating loneliness and further adaptation to older adults' illness representations and perceptions when discussing depressive symptoms might enhance care utilisation.

BACKGROUND: Depressive symptoms are highly prevalent in old age, but they remain mostly untreated. Several clinical trials have shown promising results in preventing or reducing depressive symptoms. However, it is not clear how robust these effects are in the real world of day-to-day care. Therefore, we have implemented the 'Lust for Life' programme, which significantly reduced depressive symptoms in community-dwelling older adults in the first three months after implementation. This mixed-methods study was conducted alongside the trial to develop a contextualised understanding of factors affecting the implementation.METHODS: A total of 263 persons of 65 years and older with depressive symptoms were recruited from 18 general practices and home care organizations in the Netherlands. We used qualitative data (in-depth interviews and focus group discussions with participants with depressive symptoms and healthcare professionals) as well as quantitative data (longitudinal data on the severity of depressive symptoms) to explore hindering and facilitating factors to the implementation of the 'Lust for Life' programme.RESULTS: The uptake of the routine screening was poor and imposed significant burdens on participants and healthcare professionals, and drop-out rates were high. Participants' perceived mental problems and need for care played a key role in their decision to participate in the programme and to step up to consequent interventions. Older people preferred interventions that focused on interpersonal contact. The programme was only effective when delivered by mental healthcare nurses, compared to home care nurses with limited experience in providing mental healthcare.CONCLUSIONS: The intervention programme was effective in reducing depressive symptoms, and valuable lessons can be learned from this implementation trial. Given the low uptake and high investment, we advise against routine screening for depressive symptoms in general healthcare

BACKGROUND: Depressive symptoms are highly prevalent in old age, but they remain mostly untreated. Several clinical trials have shown promising results in preventing or reducing depressive symptoms. However, it is not clear how robust these effects are in the real world of day-to-day care. Therefore, we have implemented the 'Lust for Life' programme, which significantly reduced depressive symptoms in community-dwelling older adults in the first three months after implementation. This mixed-methods study was conducted alongside the trial to develop a contextualised understanding of factors affecting the implementation.METHODS: A total of 263 persons of 65 years and older with depressive symptoms were recruited from 18 general practices and home care organizations in the Netherlands. We used qualitative data (in-depth interviews and focus group discussions with participants with depressive symptoms and healthcare professionals) as well as quantitative data (longitudinal data on the severity of depressive symptoms) to explore hindering and facilitating factors to the implementation of the 'Lust for Life' programme.RESULTS: The uptake of the routine screening was poor and imposed significant burdens on participants and healthcare professionals, and drop-out rates were high. Participants' perceived mental problems and need for care played a key role in their decision to participate in the programme and to step up to consequent interventions. Older people preferred interventions that focused on interpersonal contact. The programme was only effective when delivered by mental healthcare nurses, compared to home care nurses with limited experience in providing mental healthcare.CONCLUSIONS: The intervention programme was effective in reducing depressive symptoms, and valuable lessons can be learned from this implementation trial. Given the low uptake and high investment, we advise against routine screening for depressive symptoms in general healthcare

With the increase in aging all over the world, and the elderly population nearly tripling from 524 million (8% of the world's population) in 2010 to 1.5 billion (16% of the world's population) in 2050, we will face new challenges and opportunities in providing healthcare. In 2050, it is estimated that Europe will see an increase of 70% in elderly population aged over 65 years, and 170% in those aged over 80 years (World Health Organization (WHO), 2011). It is vital to respond to the needs of this emerging population and the consequent rise in chronic diseases, especially dementia and mental health disorders, which will overload the healthcare system, as well as raise health and social costs, and demand new policies from national governments (World Health Organization, 2012). We urgently need to know how to organize healthcare for elderly people in the years to come