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1. A prediction model for electroconvulsive therapy effectiveness in patients with major depressive disorder from the Dutch ECT Consortium (DEC)

Author

Loef, Dore, Hoogendoorn, Adriaan W., Somers, Metten, Mocking, Roel J. T., Scheepens, Dominique S., Scheepstra, Karel W. F., Blijleven, Maaike, Hegeman, Johanna M., van den Berg, Karen S., Schut, Bart, Birkenhager, Tom K., Heijnen, Willemijn, Rhebergen, Didi, Oudega, Mardien L., Schouws, Sigfried N. T. M., van Exel, Eric, Rutten, Bart P. F., Broekman, Birit F. P., Vergouwen, Anton C. M., Zoon, Thomas J. C., Kok, Rob M., Somers, Karina, Verwijk, Esmée, Rovers, Jordy J. E., Schuur, Gijsbert, van Waarde, Jeroen A., Verdijk, Joey P. A. J., Bloemkolk, Dieneke, Gerritse, Frank L., van Welie, Hanneke, Haarman, Bartholomeus C. M., van Belkum, Sjoerd M., Vischjager, Maurice, Hagoort, Karin, van Dellen, Edwin, Tendolkar, Indira, van Eijndhoven, Philip F. P., and Dols, Annemiek

Published
2024
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2. DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features

Author

Belov, Vladimir, Erwin-Grabner, Tracy, Zeng, Ling-Li, Ching, Christopher R. K., Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Brosch, Katharina, Bülow, Robin, Colle, Romain, Connolly, Colm G., Corruble, Emmanuelle, Couvy-Duchesne, Baptiste, Cullen, Kathryn, Dannlowski, Udo, Davey, Christopher G., Dols, Annemiek, Ernsting, Jan, Evans, Jennifer W., Fisch, Lukas, Fuentes-Claramonte, Paola, Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke A., Grotegerd, Dominik, Hahn, Tim, Hamilton, J. Paul, Han, Laura K. M., Harrison, Ben J, Ho, Tiffany C., Jahanshad, Neda, Jamieson, Alec J., Karuk, Andriana, Kircher, Tilo, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Leenings, Ramona, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Meinert, Susanne, Melloni, Elisa, Mueller, Bryon A., Mwangi, Benson, Nenadić, Igor, Ojha, Amar, Okamoto, Yasumasa, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Radua, Joaquim, Rodríguez-Cano, Elena, Sacchet, Matthew D., Salvador, Raymond, Schrantee, Anouk, Sim, Kang, Soares, Jair C., Solanes, Aleix, Stein, Dan J., Stein, Frederike, Stolicyn, Aleks, Thomopoulos, Sophia I., Toenders, Yara J., Uyar-Demir, Aslihan, Vieta, Eduard, Vives-Gilabert, Yolanda, Völzke, Henry, Walter, Martin, Whalley, Heather C., Whittle, Sarah, Winter, Nils, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., and Goya-Maldonado, Roberto

Subjects
Quantitative Biology - Quantitative Methods, Computer Science - Machine Learning, Quantitative Biology - Neurons and Cognition
Abstract

Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD, likely due to the heterogeneity of this disorder. The application of deep learning tools to neuroimaging data, capable of capturing complex non-linear patterns, has the potential to provide diagnostic and predictive biomarkers for MDD. However, previous attempts to demarcate MDD patients and healthy controls (HC) based on segmented cortical features via linear machine learning approaches have reported low accuracies. In this study, we used globally representative data from the ENIGMA-MDD working group containing an extensive sample of people with MDD (N=2,772) and HC (N=4,240), which allows a comprehensive analysis with generalizable results. Based on the hypothesis that integration of vertex-wise cortical features can improve classification performance, we evaluated the classification of a DenseNet and a Support Vector Machine (SVM), with the expectation that the former would outperform the latter. As we analyzed a multi-site sample, we additionally applied the ComBat harmonization tool to remove potential nuisance effects of site. We found that both classifiers exhibited close to chance performance (balanced accuracy DenseNet: 51%; SVM: 53%), when estimated on unseen sites. Slightly higher classification performance (balanced accuracy DenseNet: 58%; SVM: 55%) was found when the cross-validation folds contained subjects from all sites, indicating site effect. In conclusion, the integration of vertex-wise morphometric features and the use of the non-linear classifier did not lead to the differentiability between MDD and HC. Our results support the notion that MDD classification on this combination of features and classifiers is unfeasible.

Published
2023

3. Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

Author

Belov, Vladimir, Erwin-Grabner, Tracy, Aghajani, Moji, Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Bülow, Robin, Ching, Christopher R. K., Connolly, Colm G., Cullen, Kathryn, Davey, Christopher G., Dima, Danai, Dols, Annemiek, Evans, Jennifer W., Fu, Cynthia H. Y., Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke, Hamilton, J Paul, Harrison, Ben J., Ho, Tiffany C., Mwangi, Benson, Jaworska, Natalia, Jahanshad, Neda, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Melloni, Elisa, Mueller, Bryon A., Ojha, Amar, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Reneman, Liesbeth, Sacchet, Matthew D., Sämann, Philipp G., Schrantee, Anouk, Sim, Kang, Soares, Jair C., Stein, Dan J., Thomopoulos, Sophia I., Uyar-Demir, Aslihan, van der Wee, Nic J. A., van der Werff, Steven J. A., Völzke, Henry, Whittle, Sarah, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., and Goya-Maldonado, Roberto

Published
2024
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4. Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

Author

Belov, Vladimir, Erwin-Grabner, Tracy, Gonul, Ali Saffet, Amod, Alyssa R., Ojha, Amar, Aleman, Andre, Dols, Annemiek, Scharntee, Anouk, Uyar-Demir, Aslihan, Harrison, Ben J, Irungu, Benson M., Besteher, Bianca, Klimes-Dougan, Bonnie, Penninx, Brenda W. J. H., Mueller, Bryon A., Zarate, Carlos, Davey, Christopher G., Ching, Christopher R. K., Connolly, Colm G., Fu, Cynthia H. Y., Stein, Dan J., Dima, Danai, Linden, David E. J., Mehler, David M. A., Pomarol-Clotet, Edith, Pozzi, Elena, Melloni, Elisa, Benedetti, Francesco, MacMaster, Frank P., Grabe, Hans J., Völzke, Henry, Gotlib, Ian H., Soares, Jair C., Evans, Jennifer W., Sim, Kang, Wittfeld, Katharina, Cullen, Kathryn, Reneman, Liesbeth, Oudega, Mardien L., Wright, Margaret J., Portella, Maria J., Sacchet, Matthew D., Li, Meng, Aghajani, Moji, Wu, Mon-Ju, Jaworska, Natalia, Jahanshad, Neda, van der Wee, Nic J. A., Groenewold, Nynke, Hamilton, Paul J., Saemann, Philipp, Bülow, Robin, Poletti, Sara, Whittle, Sarah, Thomopoulos, Sophia I., van, Steven J. A., Werff, der, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Ho, Tiffany C., Yang, Tony T., Basgoze, Zeynep, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., and Goya-Maldonado, Roberto

Subjects
Quantitative Biology - Quantitative Methods
Abstract

Machine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, the diagnostic predictive power of the existing algorithms has been limited by small sample sizes, lack of representativeness, data leakage, and/or overfitting. Here, we overcome these limitations with the largest multi-site sample size to date (n=5,356) to provide a generalizable ML classification benchmark of major depressive disorder (MDD). Using brain measures from standardized ENIGMA analysis pipelines in FreeSurfer, we were able to classify MDD vs healthy controls (HC) with around 62% balanced accuracy, but when harmonizing the data using ComBat balanced accuracy dropped to approximately 52%. Similar results were observed in stratified groups according to age of onset, antidepressant use, number of episodes and sex. Future studies incorporating higher dimensional brain imaging/phenotype features, and/or using more advanced machine and deep learning methods may achieve more encouraging prospects., Comment: main document 37 pages; supplementary material 24 pages

Published
2022

5. Physical comorbidities of older age bipolar disorder (OABD) patients: A global replication analysis of prevalence and sex differences

Author

Teixeira, Antonio L., Almeida, Osvaldo P., Lavin, Paola, Barbosa, Izabela G., Alda, Martin, Altinbas, Kursat, Balanzá-Martínez, Vicent, Briggs, Farren B.S., Calkin, Cynthia, Chen, Peijun, Dols, Annemieke, Eyler, Lisa T., Forester, Brent P., Forlenza, Orestes V., Gildengers, Ariel G., Hajek, Tomas, Haarman, Benno, Korten, Nicole, Jimenez, Esther, Lafer, Beny, Levin, Jennifer B., Montejo, Laura, Nunes, Paula V., Olagunju, Andrew T., Oluwaniyi, Stephen, Oudega, Mardien L., Patrick, Regan E., Radua, Joaquim, Rej, Soham, Schouws, Sigfried, Soares, Jair C., Sutherland, Ashley N., Vieta, Eduard, Yala, Joy, and Sajatovic, Martha

Published
2024
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8. Sex Differences Among Older Adults With Bipolar Disorder: Results From the Global Aging & Geriatric Experiments in Bipolar Disorder (GAGE-BD) Project

Author

Blanken, Machteld A.J.T., Oudega, Mardien L., Almeida, Osvaldo P., Schouws, Sigfried N.T.M., Orhan, Melis, Beunders, Alexandra J.M., Klumpers, Ursula M.H., Sonnenberg, Caroline, Blumberg, Hilary P., Eyler, Lisa T., Forester, Brent P., Forlenza, Orestes V., Gildengers, Ariel, Mulsant, Benoit H., Rajji, Tarek, Rej, Soham, Sarna, Kaylee, Sutherland, Ashley, Yala, Joy, Vieta, Eduard, Tsai, Shangying, Briggs, Farren B.S., Sajatovic, Martha, and Dols, Annemiek

Published
2024
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11. Electric field causes volumetric changes in the human brain.

Author

Argyelan, Miklos, Oltedal, Leif, Deng, Zhi-De, Wade, Benjamin, Bikson, Marom, Joanlanne, Andrea, Sanghani, Sohag, Bartsch, Hauke, Cano, Marta, Dale, Anders M, Dannlowski, Udo, Dols, Annemiek, Enneking, Verena, Espinoza, Randall, Kessler, Ute, Narr, Katherine L, Oedegaard, Ketil J, Oudega, Mardien L, Redlich, Ronny, Stek, Max L, Takamiya, Akihiro, Emsell, Louise, Bouckaert, Filip, Sienaert, Pascal, Pujol, Jesus, Tendolkar, Indira, van Eijndhoven, Philip, Petrides, Georgios, Malhotra, Anil K, and Abbott, Christopher

Subjects
Amygdala, Hippocampus, Temporal Lobe, Humans, Antidepressive Agents, Magnetic Resonance Imaging, Organ Size, Brain Mapping, Depression, Electroconvulsive Therapy, Adult, Aged, Middle Aged, Female, Male, Electromagnetic Radiation, ECT, depression, electric field modeling, human, human biology, medicine, neuroimaging, volume change, Biochemistry and Cell Biology
Abstract

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

Published
2019

14. Volume of the Human Hippocampus and Clinical Response Following Electroconvulsive Therapy

Author

Oltedal, Leif, Narr, Katherine L, Abbott, Christopher, Anand, Amit, Argyelan, Miklos, Bartsch, Hauke, Dannlowski, Udo, Dols, Annemieke, van Eijndhoven, Philip, Emsell, Louise, Erchinger, Vera Jane, Espinoza, Randall, Hahn, Tim, Hanson, Lars G, Hellemann, Gerhard, Jorgensen, Martin Balslev, Kessler, Ute, Oudega, Mardien L, Paulson, Olaf B, Redlich, Ronny, Sienaert, Pascal, Stek, Max L, Tendolkar, Indira, Vandenbulcke, Mathieu, Oedegaard, Ketil J, and Dale, Anders M

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Clinical Sciences, Psychology, Mental Health, Neurosciences, Depression, Clinical Research, Adult, Aged, Biomarkers, Case-Control Studies, Depressive Disorder, Major, Electroconvulsive Therapy, Female, Functional Laterality, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neuroimaging, Organ Size, Psychiatric Status Rating Scales, Treatment Outcome, Antidepressant response, Biomarker, Brain, ECT, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Biological sciences, Biomedical and clinical sciences
Abstract

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.

Published
2018

15. The pursuit for markers of disease progression in behavioral variant frontotemporal dementia: a scoping review to optimize outcome measures for clinical trials

Author

Fieldhouse, Jay L. P., primary, van Paassen, Dirk N., additional, van Engelen, Marie-Paule E., additional, De Boer, Sterre C. M., additional, Hartog, Willem L., additional, Braak, Simon, additional, Schoonmade, Linda J., additional, Schouws, Sigfried N. T. M., additional, Krudop, Welmoed A., additional, Oudega, Mardien L., additional, Mutsaerts, Henk J. M. M., additional, Teunissen, Charlotte E., additional, Vijverberg, Everard G. B., additional, and Pijnenburg, Yolande A. L., additional

Published
2024
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17. Elevated body weight modulates subcortical volume change and associated clinical response following electroconvulsive therapy

Author

Opel, Nils, Narr, Katherine L., Abbott, Christopher, Argyelan, Miklos, Espinoza, Randall, Emsell, Louise, Bouckaert, Filip, Sienaert, Pascal, Vandenbulcke, Mathieu, Nordanskog, Pia, Repple, Jonathan, Kavakbasi, Erhan, Jorgensen, Martin B., Paulson, Olaf B., Hanson, Lars G., Dols, Annemieke, van Exel, Eric, Oudega, Mardien L., Takamiya, Akihiro, Kishimoto, Taishiro, Ousdal, Olga Therese, Haavik, Jan, Hammar, Asa, Oedegaard, Ketil Joachim, Kessler, Ute, Bartsch, Hauke, Dale, Anders M., Baune, Bernhard T., Dannlowski, Udo, Oltedal, Leif, and Redlich, Ronny

Subjects
Body weight -- Health aspects, Electroconvulsive therapy -- Patient outcomes, Health, Psychology and mental health
Abstract

Background: Obesity is a frequent somatic comorbidity of major depression, and it has been associated with worse clinical outcomes and brain structural abnormalities. Converging evidence suggests that electroconvulsive therapy (ECT) induces both clinical improvements and increased subcortical grey matter volume in patients with depression. However, it remains unknown whether increased body weight modulates the clinical response and structural neuroplasticity that occur with ECT. Methods: To address this question, we conducted a longitudinal investigation of structural MRI data from the Global ECT-MRI Research Collaboration (GEMRIC) in 223 patients who were experiencing a major depressive episode (10 scanning sites). Structural MRI data were acquired before and after ECT, and we assessed change in subcortical grey matter volume using FreeSurfer and Quarc. Results: Higher body mass index (BMI) was associated with a significantly lower increase in subcortical grey matter volume following ECT. We observed significant negative associations between BMI and change in subcortical grey matter volume, with pronounced effects in the thalamus and putamen, where obese participants showed increases in grey matter volume that were 43.3% and 49.6%, respectively, of the increases found in participants with normal weight. As well, BMI significantly moderated the association between subcortical grey matter volume change and clinical response to ECT. We observed no significant association between BMI and clinical response to ECT. Limitations: Because only baseline BMI values were available, we were unable to study BMI changes during ECT and their potential association with clinical and grey matter volume change. Conclusion: Future studies should take into account the relevance of body weight as a modulator of structural neuroplasticity during ECT treatment and aim to further explore the functional relevance of this novel finding., Introduction Electroconvulsive therapy (ECT) is the most effective antidepressant option for the treatment of major depression, (1) but the neurobiological underpinnings of treatment response to ECT remain poorly understood. Convergent [...]

Published
2021
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18. Trajectories of behavior and social cognition in behavioral variant frontotemporal dementia and primary psychiatric disorders: A call for better operationalization of socioemotional changes.

Author

Fieldhouse, Jay L. P., van Engelen, Marie‐Paule E., Handgraaf, Dédé, de Boer, Sterre C. M., van 't Hooft, Jochum J., Schouws, Sigfried N. T. M., van Grootheest, Daniël, Kerssens, Cora, Duits, Flora H., van Harten, Argonde C., Oudega, Mardien L., Vijverberg, Everard G. B., and Pijnenburg, Yolande A. L.

Subjects
SOCIAL perception, FRONTOTEMPORAL dementia, AUTISM spectrum disorders, EMOTION recognition, EMOTIONAL contagion
Abstract

Background and purpose: Behavioral variant frontotemporal dementia (bvFTD) and primary psychiatric disorders (PPD), such as mood, psychotic, and autism spectrum disorders, share similar clinical characteristics of behavior and social cognition. Better understanding of clinical progression in bvFTD and PPD is essential for adequate disease monitoring and trial design. Methods: In this longitudinal study (N = 89), patients with bvFTD and PPD with at least one follow‐up assessment were included from the Social Brain Project of the Alzheimer Center Amsterdam. Behavioral change and social cognitive decline were assessed via informant‐rated questionnaires (Cambridge Behavioral Inventory–Revised, Frontal Behavioral Inventory [FBI], Stereotypy Rating Inventory, Frontotemporal Dementia Rating Scale, Revised Self‐Monitoring Scale [RSMS]‐caregiver) and patient assessment (Ekman 60‐Faces Test, RSMS‐patient, Emotional Contagion Scale). Clinical trajectories (median = 1.4 years, interquartile range = 1.0–2.2) were examined using linear mixed models. In a subsample, associations with baseline serum neurofilament light (sNfL) were examined. Results: At baseline, behavioral and social cognitive symptoms were similar between diagnosis groups, except for poorer emotion recognition in bvFTD. Over time, behavioral symptoms worsened in bvFTD, whereas most measures remained stable and the FBI improved in PPD. Regarding social cognition, emotion recognition and caregiver‐reported socioemotional sensitivity worsened in bvFTD and remained stable in PPD. Patient‐reported social cognitive measures did not change over time. Higher sNfL was associated with faster behavioral change. Conclusions: Trajectories of behavior and social cognition differentiate bvFTD from PPD, provided that social cognition is not patient‐reported. Therefore, we stress the need to optimize longitudinal social cognitive assessment in bvFTD. sNfL may be a useful prognostic marker of behavioral progression in neuropsychiatric populations. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Physical comorbidities of older age bipolar disorder (OABD) patients: A global replication analysis of prevalence and sex differences

Author

Acuut & Intensieve Zorg Med., Brain, Teixeira, Antonio L., Almeida, Osvaldo P., Lavin, Paola, Barbosa, Izabela G., Alda, Martin, Altinbas, Kursat, Balanzá-Martínez, Vicent, Briggs, Farren B.S., Calkin, Cynthia, Chen, Peijun, Dols, Annemieke, Eyler, Lisa T., Forester, Brent P., Forlenza, Orestes V., Gildengers, Ariel G., Hajek, Tomas, Haarman, Benno, Korten, Nicole, Jimenez, Esther, Lafer, Beny, Levin, Jennifer B., Montejo, Laura, Nunes, Paula V., Olagunju, Andrew T., Oluwaniyi, Stephen, Oudega, Mardien L., Patrick, Regan E., Radua, Joaquim, Rej, Soham, Schouws, Sigfried, Soares, Jair C., Sutherland, Ashley N., Vieta, Eduard, Yala, Joy, Sajatovic, Martha, Acuut & Intensieve Zorg Med., Brain, Teixeira, Antonio L., Almeida, Osvaldo P., Lavin, Paola, Barbosa, Izabela G., Alda, Martin, Altinbas, Kursat, Balanzá-Martínez, Vicent, Briggs, Farren B.S., Calkin, Cynthia, Chen, Peijun, Dols, Annemieke, Eyler, Lisa T., Forester, Brent P., Forlenza, Orestes V., Gildengers, Ariel G., Hajek, Tomas, Haarman, Benno, Korten, Nicole, Jimenez, Esther, Lafer, Beny, Levin, Jennifer B., Montejo, Laura, Nunes, Paula V., Olagunju, Andrew T., Oluwaniyi, Stephen, Oudega, Mardien L., Patrick, Regan E., Radua, Joaquim, Rej, Soham, Schouws, Sigfried, Soares, Jair C., Sutherland, Ashley N., Vieta, Eduard, Yala, Joy, and Sajatovic, Martha

Published
2024

20. Sex Differences Among Older Adults With Bipolar Disorder: Results From the Global Aging & Geriatric Experiments in Bipolar Disorder (GAGE-BD) Project

Author

Acuut & Intensieve Zorg Med., Brain, Blanken, Machteld A J T, Oudega, Mardien L, Almeida, Osvaldo P, Schouws, Sigfried N T M, Orhan, Melis, Beunders, Alexandra J M, Klumpers, Ursula M H, Sonnenberg, Caroline, Blumberg, Hilary P, Eyler, Lisa T, Forester, Brent P, Forlenza, Orestes V, Gildengers, Ariel, Mulsant, Benoit H, Rajji, Tarek, Rej, Soham, Sarna, Kaylee, Sutherland, Ashley, Yala, Joy, Vieta, Eduard, Tsai, Shangying, Briggs, Farren B S, Sajatovic, Martha, Dols, Annemiek, Acuut & Intensieve Zorg Med., Brain, Blanken, Machteld A J T, Oudega, Mardien L, Almeida, Osvaldo P, Schouws, Sigfried N T M, Orhan, Melis, Beunders, Alexandra J M, Klumpers, Ursula M H, Sonnenberg, Caroline, Blumberg, Hilary P, Eyler, Lisa T, Forester, Brent P, Forlenza, Orestes V, Gildengers, Ariel, Mulsant, Benoit H, Rajji, Tarek, Rej, Soham, Sarna, Kaylee, Sutherland, Ashley, Yala, Joy, Vieta, Eduard, Tsai, Shangying, Briggs, Farren B S, Sajatovic, Martha, and Dols, Annemiek

Published
2024

22. Brain Changes Induced by Electroconvulsive Therapy Are Broadly Distributed

Author

Erchinger, Vera Jane, Haavik, Jan, Evjenth Sørhaug, Ole Johan, Jørgensen, Martin B., Bolwig, Tom G., Magnusson, Peter, Cano, Marta, Pujol, Jesús, Menchón, José M., Petrides, Georgios, Sienaert, Pascal, Ousdal, Olga Therese, Argyelan, Miklos, Narr, Katherine L., Abbott, Christopher, Wade, Benjamin, Vandenbulcke, Mathieu, Urretavizcaya, Mikel, Tendolkar, Indira, Takamiya, Akihiro, Stek, Max L., Soriano-Mas, Carles, Redlich, Ronny, Paulson, Olaf B., Oudega, Mardien L., Opel, Nils, Nordanskog, Pia, Kishimoto, Taishiro, Kampe, Robin, Jorgensen, Anders, Hanson, Lars G., Hamilton, J. Paul, Espinoza, Randall, Emsell, Louise, van Eijndhoven, Philip, Dols, Annemieke, Dannlowski, Udo, Cardoner, Narcis, Bouckaert, Filip, Anand, Amit, Bartsch, Hauke, Kessler, Ute, Oedegaard, Ketil J., Dale, Anders M., and Oltedal, Leif

Published
2020
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25. Sex Differences Among Older Adults With Bipolar Disorder: Results From the Global Aging & Geriatric Experiments in Bipolar Disorder (GAGE-BD) Project

Author

Blanken, Machteld A.J.T., primary, Oudega, Mardien L., additional, Almeida, Osvaldo P., additional, Schouws, Sigfried N.T.M., additional, Orhan, Melis, additional, Beunders, Alexandra J.M., additional, Klumpers, Ursula M.H., additional, Sonnenberg, Caroline, additional, Blumberg, Hilary P., additional, Eyler, Lisa T., additional, Forester, Brent P., additional, Forlenza, Orestes V., additional, Gildengers, Ariel, additional, Mulsant, Benoit H., additional, Rajji, Tarek, additional, Rej, Soham, additional, Sarna, Kaylee, additional, Sutherland, Ashley, additional, Yala, Joy, additional, Vieta, Eduard, additional, Tsai, Shangying, additional, Briggs, Farren B.S., additional, Sajatovic, Martha, additional, and Dols, Annemiek, additional

Published
2023
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26. BrainAge of patients with severe late-life depression referred for electroconvulsive therapy

Author

Wagenmakers, Margot J., primary, Oudega, Mardien L., additional, Klaus, Federica, additional, Wing, David, additional, Orav, Gwendolyn, additional, Han, Laura K.M., additional, Binnewies, Julia, additional, Beekman, Aartjan T.F., additional, Veltman, Dick J., additional, Rhebergen, Didi, additional, van Exel, Eric, additional, Eyler, Lisa T., additional, and Dols, Annemieke, additional

Published
2023
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27. Early- and Late-Onset Depression in Late Life: A Prospective Study on Clinical and Structural Brain Characteristics and Response to Electroconvulsive Therapy

Author

Dols, Annemiek, Bouckaert, Filip, Sienaert, Pascal, Rhebergen, Didi, Vansteelandt, Kristof, ten Kate, Mara, de Winter, Francois-Laurent, Comijs, Hannie C., Emsell, Louise, Oudega, Mardien L., van Exel, Eric, Schouws, Sigfried, Obbels, Jasmien, Wattjes, Mike, Barkhof, Frederik, Eikelenboom, Piet, Vandenbulcke, Mathieu, and Stek, Max L.

Published
2017
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28. Decreased emotion recognition and reduced focus on facial hallmarks in behavioral variant frontotemporal dementia compared to primary psychiatric disorders and controls

Author

Fieldhouse, Jay L. P., primary, Singleton, Ellen H., additional, van Engelen, Marie‐Paule E., additional, van ‘t Hooft, Jochum J., additional, de Boer, Sterre C. M., additional, Froeling, Violet E., additional, Braun, Michelle, additional, Oudega, Mardien L., additional, van Grootheest, Daniël, additional, Kerssens, Cora, additional, Duits, Flora H., additional, van Harten, Argonde C., additional, Vijverberg, Everard G. B., additional, and Pijnenburg, Yolande A. L., additional

Published
2023
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30. Electroconvulsive therapy is associated with increased immunoreactivity of neuroplasticity markers in the hippocampus of depressed patients

Author

Pathologie, Acuut & Intensieve Zorg Med., Brain, Loef, Dore, Tendolkar, Indira, van Eijndhoven, Philip F P, Hoozemans, Jeroen J M, Oudega, Mardien L, Rozemuller, Annemieke J M, Lucassen, Paul J, Dols, Annemiek, Dijkstra, Anke A, Pathologie, Acuut & Intensieve Zorg Med., Brain, Loef, Dore, Tendolkar, Indira, van Eijndhoven, Philip F P, Hoozemans, Jeroen J M, Oudega, Mardien L, Rozemuller, Annemieke J M, Lucassen, Paul J, Dols, Annemiek, and Dijkstra, Anke A

Published
2023

31. Altered brain metabolism in frontotemporal dementia and psychiatric disorders: involvement of the anterior cingulate cortex

Author

Acuut & Intensieve Zorg Med., Brain, Onderzoek, van Engelen, Marie-Paule E, Verfaillie, Sander C J, Dols, Annemieke, Oudega, Mardien L, Boellaard, Ronald, Golla, Sandeep S V, den Hollander, Marijke, Ossenkoppele, Rik, Scheltens, Philip, van Berckel, Bart N M, Pijnenburg, Yolande A L, Vijverberg, Everard G B, Acuut & Intensieve Zorg Med., Brain, Onderzoek, van Engelen, Marie-Paule E, Verfaillie, Sander C J, Dols, Annemieke, Oudega, Mardien L, Boellaard, Ronald, Golla, Sandeep S V, den Hollander, Marijke, Ossenkoppele, Rik, Scheltens, Philip, van Berckel, Bart N M, Pijnenburg, Yolande A L, and Vijverberg, Everard G B

Published
2023

32. BrainAge of patients with severe late-life depression referred for electroconvulsive therapy

Author

Brain, Acuut & Intensieve Zorg Med., Wagenmakers, Margot J, Oudega, Mardien L, Klaus, Federica, Wing, David, Orav, Gwendolyn, Han, Laura K M, Binnewies, Julia, Beekman, Aartjan T F, Veltman, Dick J, Rhebergen, Didi, van Exel, Eric, Eyler, Lisa T, Dols, Annemieke, Brain, Acuut & Intensieve Zorg Med., Wagenmakers, Margot J, Oudega, Mardien L, Klaus, Federica, Wing, David, Orav, Gwendolyn, Han, Laura K M, Binnewies, Julia, Beekman, Aartjan T F, Veltman, Dick J, Rhebergen, Didi, van Exel, Eric, Eyler, Lisa T, and Dols, Annemieke

Published
2023

33. Resilience to cognitive impairment in the oldest-old: design of the EMIF-AD 90+ study

Author

Legdeur, Nienke, Badissi, Maryam, Carter, Stephen F., de Crom, Sophie, van de Kreeke, Aleid, Vreeswijk, Ralph, Trappenburg, Marijke C., Oudega, Mardien L., Koek, Huiberdina L., van Campen, Jos P., Keijsers, Carolina J. P. W., Amadi, Chinenye, Hinz, Rainer, Gordon, Mark F., Novak, Gerald, Podhorna, Jana, Serné, Erik, Verbraak, Frank, Yaqub, Maqsood, Hillebrand, Arjan, Griffa, Alessandra, Pendleton, Neil, Kramer, Sophia E., Teunissen, Charlotte E., Lammertsma, Adriaan, Barkhof, Frederik, van Berckel, Bart N. M., Scheltens, Philip, Muller, Majon, Maier, Andrea B., Herholz, Karl, and Visser, Pieter Jelle

Published
2018
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39. Neural Substrates of Psychotic Depression : Findings From the Global ECT-MRI Research Collaboration

Author

Takamiya, Akihiro, Dols, Annemiek, Emsell, Louise, Abbott, Christopher, Yrondi, Antoine, Soriano-Mas, Carles, Jorgensen, Martin Balslev, Nordanskog, Pia, Rhebergen, Didi, van Exel, Eric, Oudega, Mardien L, Bouckaert, Filip, Vandenbulcke, Mathieu, Sienaert, Pascal, Péran, Patrice, Cano, Marta, Cardoner, Narcís, Jorgensen, Anders, Paulson, Olaf B, Hamilton, Paul, Kampe, Robin, Bruin, Willem, Bartsch, Hauke, Ousdal, Olga Therese, Kessler, Ute, van Wingen, Guido, Oltedal, Leif, Kishimoto, Taishiro, Université de Toulouse, Linköping University. Center for Social and Affective Neuroscience (CSAN), Takamiya, Akihiro, Dols, Annemiek, Emsell, Louise, Abbott, Christopher, Yrondi, Antoine, Soriano-Mas, Carles, Jorgensen, Martin Balslev, Nordanskog, Pia, Rhebergen, Didi, van Exel, Eric, Oudega, Mardien L, Bouckaert, Filip, Vandenbulcke, Mathieu, Sienaert, Pascal, Péran, Patrice, Cano, Marta, Cardoner, Narcís, Jorgensen, Anders, Paulson, Olaf B, Hamilton, Paul, Kampe, Robin, Bruin, Willem, Bartsch, Hauke, Ousdal, Olga Therese, Kessler, Ute, van Wingen, Guido, Oltedal, Leif, Kishimoto, Taishiro, Université de Toulouse, and Linköping University. Center for Social and Affective Neuroscience (CSAN)

Abstract

Psychotic major depression (PMD) is hypothesized to be a distinct clinical entity from nonpsychotic major depression (NPMD). However, neurobiological evidence supporting this notion is scarce. The aim of this study is to identify gray matter volume (GMV) differences between PMD and NPMD and their longitudinal change following electroconvulsive therapy (ECT). Structural magnetic resonance imaging (MRI) data from 8 independent sites in the Global ECT-MRI Research Collaboration (GEMRIC) database (n = 108; 56 PMD and 52 NPMD; mean age 71.7 in PMD and 70.2 in NPMD) were analyzed. All participants underwent MRI before and after ECT. First, cross-sectional whole-brain voxel-wise GMV comparisons between PMD and NPMD were conducted at both time points. Second, in a flexible factorial model, a main effect of time and a group-by-time interaction were examined to identify longitudinal effects of ECT on GMV and longitudinal differential effects of ECT between PMD and NPMD, respectively. Compared with NPMD, PMD showed lower GMV in the prefrontal, temporal and parietal cortex before ECT; PMD showed lower GMV in the medial prefrontal cortex (MPFC) after ECT. Although there was a significant main effect of time on GMV in several brain regions in both PMD and NPMD, there was no significant group-by-time interaction. Lower GMV in the MPFC was consistently identified in PMD, suggesting this may be a trait-like neural substrate of PMD. Longitudinal effect of ECT on GMV may not explain superior ECT response in PMD, and further investigation is needed.

Published
2022

40. Neural Substrates of Psychotic Depression:Findings from the Global ECT-MRI Research Collaboration

Author

Takamiya, Akihiro, Dols, Annemiek, Emsell, Louise, Abbott, Christopher, Yrondi, Antoine, Soriano Mas, Carles, Jorgensen, Martin Balslev, Nordanskog, Pia, Rhebergen, Didi, Van Exel, Eric, Oudega, Mardien L., Bouckaert, Filip, Vandenbulcke, Mathieu, Sienaert, Pascal, Peran, Patrice, Cano, Marta, Cardoner, Narcis, Jorgensen, Anders, Paulson, Olaf B., Hamilton, Paul, Kampe, Robin, Bruin, Willem, Bartsch, Hauke, Ousdal, Olga Therese, Kessler, Ute, Van Wingen, Guido, Oltedal, Leif, Kishimoto, Taishiro, Takamiya, Akihiro, Dols, Annemiek, Emsell, Louise, Abbott, Christopher, Yrondi, Antoine, Soriano Mas, Carles, Jorgensen, Martin Balslev, Nordanskog, Pia, Rhebergen, Didi, Van Exel, Eric, Oudega, Mardien L., Bouckaert, Filip, Vandenbulcke, Mathieu, Sienaert, Pascal, Peran, Patrice, Cano, Marta, Cardoner, Narcis, Jorgensen, Anders, Paulson, Olaf B., Hamilton, Paul, Kampe, Robin, Bruin, Willem, Bartsch, Hauke, Ousdal, Olga Therese, Kessler, Ute, Van Wingen, Guido, Oltedal, Leif, and Kishimoto, Taishiro

Abstract

Psychotic major depression (PMD) is hypothesized to be a distinct clinical entity from nonpsychotic major depression (NPMD). However, neurobiological evidence supporting this notion is scarce. The aim of this study is to identify gray matter volume (GMV) differences between PMD and NPMD and their longitudinal change following electroconvulsive therapy (ECT). Structural magnetic resonance imaging (MRI) data from 8 independent sites in the Global ECT-MRI Research Collaboration (GEMRIC) database (n = 108; 56 PMD and 52 NPMD; mean age 71.7 in PMD and 70.2 in NPMD) were analyzed. All participants underwent MRI before and after ECT. First, cross-sectional whole-brain voxel-wise GMV comparisons between PMD and NPMD were conducted at both time points. Second, in a flexible factorial model, a main effect of time and a group-by-time interaction were examined to identify longitudinal effects of ECT on GMV and longitudinal differential effects of ECT between PMD and NPMD, respectively. Compared with NPMD, PMD showed lower GMV in the prefrontal, temporal and parietal cortex before ECT; PMD showed lower GMV in the medial prefrontal cortex (MPFC) after ECT. Although there was a significant main effect of time on GMV in several brain regions in both PMD and NPMD, there was no significant group-by-time interaction. Lower GMV in the MPFC was consistently identified in PMD, suggesting this may be a trait-like neural substrate of PMD. Longitudinal effect of ECT on GMV may not explain superior ECT response in PMD, and further investigation is needed.

Published
2022

41. Interrogating Associations Between Polygenic Liabilities and Electroconvulsive Therapy Effectiveness

Author

Luykx, Jurjen J., Loef, Dore, Lin, Bochao, van Diermen, Linda, Nuninga, Jasper O., van Exel, Eric, Oudega, Mardien L., Rhebergen, Didi, Schouws, Sigfried N.T.M., van Eijndhoven, Philip, Verwijk, Esmée, Schrijvers, Didier, Birkenhager, Tom K., Ryan, Karen M., Arts, Baer, van Bronswijk, Suzanne C., Kenis, Gunter, Schurgers, Geert, Baune, Bernhard T., Arns, Martijn, van Dellen, Edwin E., Somers, Metten, Sommer, Iris E.C., Boks, Marco P., Gülöksüz, Sinan, McLoughlin, Declan M., Dols, Annemiek, Rutten, Bart P.F., Luykx, Jurjen J., Loef, Dore, Lin, Bochao, van Diermen, Linda, Nuninga, Jasper O., van Exel, Eric, Oudega, Mardien L., Rhebergen, Didi, Schouws, Sigfried N.T.M., van Eijndhoven, Philip, Verwijk, Esmée, Schrijvers, Didier, Birkenhager, Tom K., Ryan, Karen M., Arts, Baer, van Bronswijk, Suzanne C., Kenis, Gunter, Schurgers, Geert, Baune, Bernhard T., Arns, Martijn, van Dellen, Edwin E., Somers, Metten, Sommer, Iris E.C., Boks, Marco P., Gülöksüz, Sinan, McLoughlin, Declan M., Dols, Annemiek, and Rutten, Bart P.F.

Abstract

Background: Electroconvulsive therapy (ECT) is the most effective treatment for severe major depressive episodes (MDEs). Nonetheless, firmly established associations between ECT outcomes and biological variables are currently lacking. Polygenic risk scores (PRSs) carry clinical potential, but associations with treatment response in psychiatry are seldom reported. Here, we examined whether PRSs for major depressive disorder, schizophrenia (SCZ), cross-disorder, and pharmacological antidepressant response are associated with ECT effectiveness. Methods: A total of 288 patients with MDE from 3 countries were included. The main outcome was a change in the 17-item Hamilton Depression Rating Scale scores from before to after ECT treatment. Secondary outcomes were response and remission. Regression analyses with PRSs as independent variables and several covariates were performed. Explained variance (R2) at the optimal p-value threshold is reported. Results: In the 266 subjects passing quality control, the PRS-SCZ was positively associated with a larger Hamilton Depression Rating Scale decrease in linear regression (optimal p-value threshold = .05, R2 = 6.94%, p < .0001), which was consistent across countries: Ireland (R2 = 8.18%, p = .0013), Belgium (R2 = 6.83%, p = .016), and the Netherlands (R2 = 7.92%, p = .0077). The PRS-SCZ was also positively associated with remission (R2 = 4.63%, p = .0018). Sensitivity and subgroup analyses, including in MDE without psychotic features (R2 = 4.42%, p = .0024) and unipolar MDE only (R2 = 9.08%, p < .0001), confirmed the results. The other PRSs were not associated with a change in the Hamilton Depression Rating Scale score at the predefined Bonferroni-corrected significance threshold. Conclusions: A linear association between PRS-SCZ and ECT outcome was uncovered. Although it is too early to adopt PRSs in ECT clinical decision making, these

Published
2022

42. Interrogating Associations Between Polygenic Liabilities and Electroconvulsive Therapy Effectiveness

Author

Hersenen-Medisch 1, Onderzoeksgroep 2, Affectieve & Psychotische Med., Brain, Luykx, Jurjen J, Loef, Dore, Lin, Bochao, van Diermen, Linda, Nuninga, Jasper O, van Exel, Eric, Oudega, Mardien L, Rhebergen, Didi, Schouws, Sigfried N T M, van Eijndhoven, Philip, Verwijk, Esmée, Schrijvers, Didier, Birkenhager, Tom K, Ryan, Karen M, Arts, Baer, van Bronswijk, Suzanne C, Kenis, Gunter, Schurgers, Geert, Baune, Bernhard T, Arns, Martijn, van Dellen, Edwin E, Somers, Metten, Sommer, Iris E C, Boks, Marco P, Gülöksüz, Sinan, McLoughlin, Declan M, Dols, Annemiek, Rutten, Bart P F, Hersenen-Medisch 1, Onderzoeksgroep 2, Affectieve & Psychotische Med., Brain, Luykx, Jurjen J, Loef, Dore, Lin, Bochao, van Diermen, Linda, Nuninga, Jasper O, van Exel, Eric, Oudega, Mardien L, Rhebergen, Didi, Schouws, Sigfried N T M, van Eijndhoven, Philip, Verwijk, Esmée, Schrijvers, Didier, Birkenhager, Tom K, Ryan, Karen M, Arts, Baer, van Bronswijk, Suzanne C, Kenis, Gunter, Schurgers, Geert, Baune, Bernhard T, Arns, Martijn, van Dellen, Edwin E, Somers, Metten, Sommer, Iris E C, Boks, Marco P, Gülöksüz, Sinan, McLoughlin, Declan M, Dols, Annemiek, and Rutten, Bart P F

Published
2022

44. Interrogating Associations Between Polygenic Liabilities and Electroconvulsive Therapy Effectiveness

Author

Luykx, Jurjen J., primary, Loef, Dore, additional, Lin, Bochao, additional, van Diermen, Linda, additional, Nuninga, Jasper O., additional, van Exel, Eric, additional, Oudega, Mardien L., additional, Rhebergen, Didi, additional, Schouws, Sigfried N.T.M., additional, van Eijndhoven, Philip, additional, Verwijk, Esmée, additional, Schrijvers, Didier, additional, Birkenhager, Tom K., additional, Ryan, Karen M., additional, Arts, Baer, additional, van Bronswijk, Suzanne C., additional, Kenis, Gunter, additional, Schurgers, Geert, additional, Baune, Bernhard T., additional, Arns, Martijn, additional, van Dellen, Edwin E., additional, Somers, Metten, additional, Sommer, Iris E.C., additional, Boks, Marco P., additional, Gülöksüz, Sinan, additional, McLoughlin, Declan M., additional, Dols, Annemiek, additional, and Rutten, Bart P.F., additional

Published
2022
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45. The ratio and interaction between neurotrophin and immune signaling during electroconvulsive therapy in late-life depression

Author

Loef, Dore, primary, Vansteelandt, Kristof, additional, Oudega, Mardien L., additional, van Eijndhoven, Philip, additional, Carlier, Angela, additional, van Exel, Eric, additional, Rhebergen, Didi, additional, Sienaert, Pascal, additional, Vandenbulcke, Mathieu, additional, Bouckaert, Filip, additional, and Dols, Annemiek, additional

Published
2021
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46. Neural Substrates of Psychotic Depression: Findings From the Global ECT-MRI Research Collaboration

Author

Takamiya, Akihiro, primary, Dols, Annemiek, additional, Emsell, Louise, additional, Abbott, Christopher, additional, Yrondi, Antoine, additional, Soriano Mas, Carles, additional, Jorgensen, Martin Balslev, additional, Nordanskog, Pia, additional, Rhebergen, Didi, additional, van Exel, Eric, additional, Oudega, Mardien L, additional, Bouckaert, Filip, additional, Vandenbulcke, Mathieu, additional, Sienaert, Pascal, additional, Péran, Patrice, additional, Cano, Marta, additional, Cardoner, Narcis, additional, Jorgensen, Anders, additional, Paulson, Olaf B, additional, Hamilton, Paul, additional, Kampe, Robin, additional, Bruin, Willem, additional, Bartsch, Hauke, additional, Ousdal, Olga Therese, additional, Kessler, Ute, additional, van Wingen, Guido, additional, Oltedal, Leif, additional, and Kishimoto, Taishiro, additional

Published
2021
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47. Inflammation and Cognitive Functioning in Depressed Older Adults Treated With Electroconvulsive Therapy

Author

Carlier, Angela, primary, Rhebergen, Didi, additional, Veerhuis, Robert, additional, Schouws, Sigfried, additional, Oudega, Mardien L., additional, Eikelenboom, Piet, additional, Bouckaert, Filip, additional, Sienaert, Pascal, additional, Obbels, Jasmien, additional, Stek, Max L., additional, Exel, Eric van, additional, and Dols, Annemiek, additional

Published
2021
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48. Development and validation of a neuroimaging biomarker for electroconvulsive therapy outcome in depression: a multicenter machine learning analysis

Author

Bruin, Willem B., primary, Oltedal, Leif, additional, Bartsch, Hauke, additional, Abbott, Christopher C., additional, Argyelan, Miklos, additional, Barbour, Tracy, additional, Camprodon, Joan A., additional, Chowdhury, Samadrita, additional, Espinoza, Randall, additional, Mulders, Peter C. R., additional, Narr, Katherine L., additional, Oudega, Mardien L., additional, Rhebergen, Didi, additional, ten Doesschate, Freek, additional, Tendolkar, Indira, additional, van Eijndhoven, Philip, additional, van Exel, Eric, additional, van Verseveld, Mike, additional, Wade, Benjamin, additional, van Waarde, Jeroen, additional, Dols, Annemiek, additional, and van Wingen, Guido A., additional

Published
2021
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50. Brain Changes Induced by Electroconvulsive Therapy Are Broadly Distributed

Author

Ousdal, Olga Therese, Argyelan, Miklos, Narr, Katherine L., Abbott, Christopher, Wade, Benjamin, Vandenbulcke, Mathieu, Urretavizcaya, Mikel, Tendolkar, Indira, Takamiya, Akihiro, Stek, Max L., Soriano-Mas, Carles, Redlich, Ronny, Paulson, Olaf B., Oudega, Mardien L., Opel, Nils, Nordanskog, Pia, Kishimoto, Taishiro, Kampe, Robin, Jørgensen, Anders, Hanson, Lars G., Hamilton, J. Paul, Espinoza, Randall, Emsell, Louise, van Eijndhoven, Philip, Dols, Annemieke, Dannlowski, Udo, Cardoner, Narcis, Bouckaert, Filip, Anand, Amit, Bartsch, Hauke, Kessler, Ute, Oedegaard, Ketil J., Dale, Anders M., Oltedal, Leif, Erchinger, Vera Jane, Haavik, Jan, Evjenth Sørhaug, Ole Johan, Jørgensen, Martin B., Bolwig, Tom G., Magnusson, Peter, Cano, Marta, Pujol, Jesús, Menchón, José M., Petrides, Georgios, Sienaert, Pascal, Ousdal, Olga Therese, Argyelan, Miklos, Narr, Katherine L., Abbott, Christopher, Wade, Benjamin, Vandenbulcke, Mathieu, Urretavizcaya, Mikel, Tendolkar, Indira, Takamiya, Akihiro, Stek, Max L., Soriano-Mas, Carles, Redlich, Ronny, Paulson, Olaf B., Oudega, Mardien L., Opel, Nils, Nordanskog, Pia, Kishimoto, Taishiro, Kampe, Robin, Jørgensen, Anders, Hanson, Lars G., Hamilton, J. Paul, Espinoza, Randall, Emsell, Louise, van Eijndhoven, Philip, Dols, Annemieke, Dannlowski, Udo, Cardoner, Narcis, Bouckaert, Filip, Anand, Amit, Bartsch, Hauke, Kessler, Ute, Oedegaard, Ketil J., Dale, Anders M., Oltedal, Leif, Erchinger, Vera Jane, Haavik, Jan, Evjenth Sørhaug, Ole Johan, Jørgensen, Martin B., Bolwig, Tom G., Magnusson, Peter, Cano, Marta, Pujol, Jesús, Menchón, José M., Petrides, Georgios, and Sienaert, Pascal

Abstract

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.

Published
2020

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