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2. Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression

Author

Argyelan, Miklos, Deng, Zhi-De, Ousdal, Olga Therese, Oltedal, Leif, Angulo, Brian, Baradits, Mate, Spitzberg, Andrew J., Kessler, Ute, Sartorius, Alexander, Dols, Annemiek, Narr, Katherine L., Espinoza, Randall, van Waarde, Jeroen A., Tendolkar, Indira, van Eijndhoven, Philip, van Wingen, Guido A., Takamiya, Akihiro, Kishimoto, Taishiro, Jorgensen, Martin B., Jorgensen, Anders, Paulson, Olaf B., Yrondi, Antoine, Péran, Patrice, Soriano-Mas, Carles, Cardoner, Narcis, Cano, Marta, van Diermen, Linda, Schrijvers, Didier, Belge, Jean-Baptiste, Emsell, Louise, Bouckaert, Filip, Vandenbulcke, Mathieu, Kiebs, Maximilian, Hurlemann, René, Mulders, Peter CR., Redlich, Ronny, Dannlowski, Udo, Kavakbasi, Erhan, Kritzer, Michael D., Ellard, Kristen K., Camprodon, Joan A., Petrides, Georgios, Malhotra, Anil K., and Abbott, Christopher C.

Published
2024
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3. Electroconvulsive therapy and cognitive performance from the Global ECT MRI Research Collaboration

Author

Kiebs, Maximilian, Farrar, Danielle C., Yrondi, Antoine, Cardoner, Narcis, Tuovinen, Noora, Redlich, Ronny, Dannlowski, Udo, Soriano-Mas, Carles, Dols, Annemiek, Takamiya, Akihiro, Tendolkar, Indira, Narr, Katherine L., Espinoza, Randall, Laroy, Maarten, van Eijndhoven, Philip, Verwijk, Esmée, van Waarde, Jeroen, Verdijk, Joey, Maier, Hannah B., Nordanskog, Pia, van Wingen, Guido, van Diermen, Linda, Emsell, Louise, Bouckaert, Filip, Repple, Jonathan, Camprodon, Joan A., Wade, Benjamin S.C., Donaldson, K. Tristan, Oltedal, Leif, Kessler, Ute, Hammar, Åsa, Sienaert, Pascal, Hebbrecht, Kaat, Urretavizcaya, Mikel, Belge, Jean-Baptiste, Argyelan, Miklos, Baradits, Mate, Obbels, Jasmien, Draganski, Bogdan, Philipsen, Alexandra, Sartorius, Alexander, Rhebergen, Didericke, Ousdal, Olga Therese, Hurlemann, René, McClintock, Shawn, Erhardt, Erik B., and Abbott, Christopher C.

Published
2024
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4. Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?

Author

Schilling, Kurt G, Rheault, François, Petit, Laurent, Hansen, Colin B, Nath, Vishwesh, Yeh, Fang-Cheng, Girard, Gabriel, Barakovic, Muhamed, Rafael-Patino, Jonathan, Yu, Thomas, Fischi-Gomez, Elda, Pizzolato, Marco, Ocampo-Pineda, Mario, Schiavi, Simona, Canales-Rodríguez, Erick J, Daducci, Alessandro, Granziera, Cristina, Innocenti, Giorgio, Thiran, Jean-Philippe, Mancini, Laura, Wastling, Stephen, Cocozza, Sirio, Petracca, Maria, Pontillo, Giuseppe, Mancini, Matteo, Vos, Sjoerd B, Vakharia, Vejay N, Duncan, John S, Melero, Helena, Manzanedo, Lidia, Sanz-Morales, Emilio, Peña-Melián, Ángel, Calamante, Fernando, Attyé, Arnaud, Cabeen, Ryan P, Korobova, Laura, Toga, Arthur W, Vijayakumari, Anupa Ambili, Parker, Drew, Verma, Ragini, Radwan, Ahmed, Sunaert, Stefan, Emsell, Louise, De Luca, Alberto, Leemans, Alexander, Bajada, Claude J, Haroon, Hamied, Azadbakht, Hojjatollah, Chamberland, Maxime, Genc, Sila, Tax, Chantal MW, Yeh, Ping-Hong, Srikanchana, Rujirutana, Mcknight, Colin D, Yang, Joseph Yuan-Mou, Chen, Jian, Kelly, Claire E, Yeh, Chun-Hung, Cochereau, Jerome, Maller, Jerome J, Welton, Thomas, Almairac, Fabien, Seunarine, Kiran K, Clark, Chris A, Zhang, Fan, Makris, Nikos, Golby, Alexandra, Rathi, Yogesh, O'Donnell, Lauren J, Xia, Yihao, Aydogan, Dogu Baran, Shi, Yonggang, Fernandes, Francisco Guerreiro, Raemaekers, Mathijs, Warrington, Shaun, Michielse, Stijn, Ramírez-Manzanares, Alonso, Concha, Luis, Aranda, Ramón, Meraz, Mariano Rivera, Lerma-Usabiaga, Garikoitz, Roitman, Lucas, Fekonja, Lucius S, Calarco, Navona, Joseph, Michael, Nakua, Hajer, Voineskos, Aristotle N, Karan, Philippe, Grenier, Gabrielle, Legarreta, Jon Haitz, Adluru, Nagesh, Nair, Veena A, Prabhakaran, Vivek, Alexander, Andrew L, Kamagata, Koji, Saito, Yuya, Uchida, Wataru, Andica, Christina, Abe, Masahiro, and Bayrak, Roza G

Subjects
Neurosciences, Biomedical Imaging, Algorithms, Diffusion Tensor Imaging, Dissection, Humans, Image Processing, Computer-Assisted, Neural Pathways, White Matter, Tractography, Bundle segmentation, White matter, Fiber pathways, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
Abstract

White matter bundle segmentation using diffusion MRI fiber tractography has become the method of choice to identify white matter fiber pathways in vivo in human brains. However, like other analyses of complex data, there is considerable variability in segmentation protocols and techniques. This can result in different reconstructions of the same intended white matter pathways, which directly affects tractography results, quantification, and interpretation. In this study, we aim to evaluate and quantify the variability that arises from different protocols for bundle segmentation. Through an open call to users of fiber tractography, including anatomists, clinicians, and algorithm developers, 42 independent teams were given processed sets of human whole-brain streamlines and asked to segment 14 white matter fascicles on six subjects. In total, we received 57 different bundle segmentation protocols, which enabled detailed volume-based and streamline-based analyses of agreement and disagreement among protocols for each fiber pathway. Results show that even when given the exact same sets of underlying streamlines, the variability across protocols for bundle segmentation is greater than all other sources of variability in the virtual dissection process, including variability within protocols and variability across subjects. In order to foster the use of tractography bundle dissection in routine clinical settings, and as a fundamental analytical tool, future endeavors must aim to resolve and reduce this heterogeneity. Although external validation is needed to verify the anatomical accuracy of bundle dissections, reducing heterogeneity is a step towards reproducible research and may be achieved through the use of standard nomenclature and definitions of white matter bundles and well-chosen constraints and decisions in the dissection process.

Published
2021

6. Characterization of gray matter volume changes from one week to 6 months after termination of electroconvulsive therapy in depressed patients

Author

Laroy, Maarten, Bouckaert, Filip, Ousdal, Olga Therese, Dols, Annemieke, Rhebergen, Didi, van Exel, Eric, van Wingen, Guido, van Waarde, Jeroen, Verdijk, Joey, Kessler, Ute, Bartsch, Hauke, Jorgensen, Martin Balslev, Paulson, Olaf B., Nordanskog, Pia, Prudic, Joan, Sienaert, Pascal, Vandenbulcke, Mathieu, Oltedal, Leif, and Emsell, Louise

Published
2024
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8. Correction: Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression

Author

Argyelan, Miklos, Deng, Zhi-De, Ousdal, Olga Therese, Oltedal, Leif, Angulo, Brian, Baradits, Mate, Spitzberg, Andrew J., Kessler, Ute, Sartorius, Alexander, Dols, Annemiek, Narr, Katherine L., Espinoza, Randall, van Waarde, Jeroen A., Tendolkar, Indira, van Eijndhoven, Philip, van Wingen, Guido A., Takamiya, Akihiro, Kishimoto, Taishiro, Jorgensen, Martin B., Jorgensen, Anders, Paulson, Olaf B., Yrondi, Antoine, Péran, Patrice, Soriano-Mas, Carles, Cardoner, Narcis, Cano, Marta, van Diermen, Linda, Schrijvers, Didier, Belge, Jean-Baptiste, Emsell, Louise, Bouckaert, Filip, Vandenbulcke, Mathieu, Kiebs, Maximilian, Hurlemann, René, Mulders, Peter CR., Redlich, Ronny, Dannlowski, Udo, Kavakbasi, Erhan, Kritzer, Michael D., Ellard, Kristen K., Camprodon, Joan A., Petrides, Georgios, Malhotra, Anil K., and Abbott, Christopher C.

Published
2024
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9. Effective resting-state connectivity in severe unipolar depression before and after electroconvulsive therapy

Author

ten Doesschate, Freek, Bruin, Willem, Zeidman, Peter, Abbott, Christopher C., Argyelan, Miklos, Dols, Annemieke, Emsell, Louise, van Eijndhoven, Philip F.P., van Exel, Eric, Mulders, Peter C.R., Narr, Katherine, Tendolkar, Indira, Rhebergen, Didi, Sienaert, Pascal, Vandenbulcke, Mathieu, Verdijk, Joey, van Verseveld, Mike, Bartsch, Hauke, Oltedal, Leif, van Waarde, Jeroen A., and van Wingen, Guido A.

Published
2023
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10. 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. Synaptic density changes following electroconvulsive therapy: A longitudinal pilot study with PET-MR 11C-UCB-J imaging in late-life depression

Author

Laroy, Maarten, primary, Vande Casteele, Thomas, additional, Van Cauwenberge, Margot, additional, Koole, Michel, additional, Dupont, Patrick, additional, Sunaert, Stefan, additional, Van den Stock, Jan, additional, Sienaert, Pascal, additional, Van Laere, Koen, additional, Vandenbulcke, Mathieu, additional, Emsell, Louise, additional, and Bouckaert, Filip, additional

Published
2024
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17. Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?

Author

Schilling, Kurt G., Rheault, François, Petit, Laurent, Hansen, Colin B., Nath, Vishwesh, Yeh, Fang-Cheng, Girard, Gabriel, Barakovic, Muhamed, Rafael-Patino, Jonathan, Yu, Thomas, Fischi-Gomez, Elda, Pizzolato, Marco, Ocampo-Pineda, Mario, Schiavi, Simona, Canales-Rodríguez, Erick J., Daducci, Alessandro, Granziera, Cristina, Innocenti, Giorgio, Thiran, Jean-Philippe, Mancini, Laura, Wastling, Stephen, Cocozza, Sirio, Petracca, Maria, Pontillo, Giuseppe, Mancini, Matteo, Vos, Sjoerd B., Vakharia, Vejay N., Duncan, John S., Melero, Helena, Manzanedo, Lidia, Sanz-Morales, Emilio, Peña-Melián, Ángel, Calamante, Fernando, Attyé, Arnaud, Cabeen, Ryan P., Korobova, Laura, Toga, Arthur W., Vijayakumari, Anupa Ambili, Parker, Drew, Verma, Ragini, Radwan, Ahmed, Sunaert, Stefan, Emsell, Louise, De Luca, Alberto, Leemans, Alexander, Bajada, Claude J., Haroon, Hamied, Azadbakht, Hojjatollah, Chamberland, Maxime, Genc, Sila, Tax, Chantal M.W., Yeh, Ping-Hong, Srikanchana, Rujirutana, Mcknight, Colin D., Yang, Joseph Yuan-Mou, Chen, Jian, Kelly, Claire E., Yeh, Chun-Hung, Cochereau, Jerome, Maller, Jerome J., Welton, Thomas, Almairac, Fabien, Seunarine, Kiran K, Clark, Chris A., Zhang, Fan, Makris, Nikos, Golby, Alexandra, Rathi, Yogesh, O'Donnell, Lauren J., Xia, Yihao, Aydogan, Dogu Baran, Shi, Yonggang, Fernandes, Francisco Guerreiro, Raemaekers, Mathijs, Warrington, Shaun, Michielse, Stijn, Ramírez-Manzanares, Alonso, Concha, Luis, Aranda, Ramón, Meraz, Mariano Rivera, Lerma-Usabiaga, Garikoitz, Roitman, Lucas, Fekonja, Lucius S., Calarco, Navona, Joseph, Michael, Nakua, Hajer, Voineskos, Aristotle N., Karan, Philippe, Grenier, Gabrielle, Legarreta, Jon Haitz, Adluru, Nagesh, Nair, Veena A., Prabhakaran, Vivek, Alexander, Andrew L., Kamagata, Koji, Saito, Yuya, Uchida, Wataru, Andica, Christina, Abe, Masahiro, Bayrak, Roza G., Wheeler-Kingshott, Claudia A.M. Gandini, D'Angelo, Egidio, Palesi, Fulvia, Savini, Giovanni, Rolandi, Nicolò, Guevara, Pamela, Houenou, Josselin, López-López, Narciso, Mangin, Jean-François, Poupon, Cyril, Román, Claudio, Vázquez, Andrea, Maffei, Chiara, Arantes, Mavilde, Andrade, José Paulo, Silva, Susana Maria, Calhoun, Vince D., Caverzasi, Eduardo, Sacco, Simone, Lauricella, Michael, Pestilli, Franco, Bullock, Daniel, Zhan, Yang, Brignoni-Perez, Edith, Lebel, Catherine, Reynolds, Jess E, Nestrasil, Igor, Labounek, René, Lenglet, Christophe, Paulson, Amy, Aulicka, Stefania, Heilbronner, Sarah R., Heuer, Katja, Chandio, Bramsh Qamar, Guaje, Javier, Tang, Wei, Garyfallidis, Eleftherios, Raja, Rajikha, Anderson, Adam W., Landman, Bennett A., and Descoteaux, Maxime

Published
2021
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18. 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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20. The Global ECT-MRI Research Collaboration (GEMRIC): Establishing a multi-site investigation of the neural mechanisms underlying response to electroconvulsive therapy.

Author

Oltedal, Leif, Bartsch, Hauke, Sørhaug, Ole Johan Evjenth, Kessler, Ute, Abbott, Christopher, Dols, Annemieke, Stek, Max L, Ersland, Lars, Emsell, Louise, van Eijndhoven, Philip, Argyelan, Miklos, Tendolkar, Indira, Nordanskog, Pia, Hamilton, Paul, Jorgensen, Martin Balslev, Sommer, Iris E, Heringa, Sophie M, Draganski, Bogdan, Redlich, Ronny, Dannlowski, Udo, Kugel, Harald, Bouckaert, Filip, Sienaert, Pascal, Anand, Amit, Espinoza, Randall, Narr, Katherine L, Holland, Dominic, Dale, Anders M, and Oedegaard, Ketil J

Subjects
Brain, Humans, Magnetic Resonance Imaging, Brain Mapping, Retrospective Studies, Depressive Disorder, Major, Electroconvulsive Therapy, Psychiatric Status Rating Scales, Time Factors, International Cooperation, Image Processing, Computer-Assisted, Databases, Factual, Adult, Aged, Aged, 80 and over, Middle Aged, Female, Male, Young Adult, Electroconvulsive therapy, Longitudinal, MRI, Mega analysis, Multi-site, Neurosciences
Abstract

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.

Published
2017

21. Characterization of gray matter volume changes from one week to 6 months after termination of electroconvulsive therapy in depressed patients

Author

Acuut & Intensieve Zorg Med., Brain, Laroy, Maarten, Bouckaert, Filip, Ousdal, Olga Therese, Dols, Annemieke, Rhebergen, Didi, van Exel, Eric, van Wingen, Guido, van Waarde, Jeroen, Verdijk, Joey, Kessler, Ute, Bartsch, Hauke, Jorgensen, Martin Balslev, Paulson, Olaf B., Nordanskog, Pia, Prudic, Joan, Sienaert, Pascal, Vandenbulcke, Mathieu, Oltedal, Leif, Emsell, Louise, for GEMRIC, Acuut & Intensieve Zorg Med., Brain, Laroy, Maarten, Bouckaert, Filip, Ousdal, Olga Therese, Dols, Annemieke, Rhebergen, Didi, van Exel, Eric, van Wingen, Guido, van Waarde, Jeroen, Verdijk, Joey, Kessler, Ute, Bartsch, Hauke, Jorgensen, Martin Balslev, Paulson, Olaf B., Nordanskog, Pia, Prudic, Joan, Sienaert, Pascal, Vandenbulcke, Mathieu, Oltedal, Leif, Emsell, Louise, and for GEMRIC

Published
2024

23. 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. Correction: Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression

Author

Argyelan, Miklos, primary, Deng, Zhi-De, additional, Ousdal, Olga Therese, additional, Oltedal, Leif, additional, Angulo, Brian, additional, Baradits, Mate, additional, Spitzberg, Andrew J., additional, Kessler, Ute, additional, Sartorius, Alexander, additional, Dols, Annemiek, additional, Narr, Katherine L., additional, Espinoza, Randall, additional, van Waarde, Jeroen A., additional, Tendolkar, Indira, additional, van Eijndhoven, Philip, additional, van Wingen, Guido A., additional, Takamiya, Akihiro, additional, Kishimoto, Taishiro, additional, Jorgensen, Martin B., additional, Jorgensen, Anders, additional, Paulson, Olaf B., additional, Yrondi, Antoine, additional, Péran, Patrice, additional, Soriano-Mas, Carles, additional, Cardoner, Narcis, additional, Cano, Marta, additional, van Diermen, Linda, additional, Schrijvers, Didier, additional, Belge, Jean-Baptiste, additional, Emsell, Louise, additional, Bouckaert, Filip, additional, Vandenbulcke, Mathieu, additional, Kiebs, Maximilian, additional, Hurlemann, René, additional, Mulders, Peter CR., additional, Redlich, Ronny, additional, Dannlowski, Udo, additional, Kavakbasi, Erhan, additional, Kritzer, Michael D., additional, Ellard, Kristen K., additional, Camprodon, Joan A., additional, Petrides, Georgios, additional, Malhotra, Anil K., additional, and Abbott, Christopher C., additional

Published
2023
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32. DTI in Psychiatry

Author

Houenou, Josselin, Emsell, Louise, Van Hecke, Wim, editor, Emsell, Louise, editor, and Sunaert, Stefan, editor

Published
2016
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33. DTI in Diagnosis and Follow-Up of Brain Tumors

Author

De Belder, Frank, Van Cauter, Sophie, van den Hauwe, Luc, Van Hecke, Wim, Emsell, Louise, De Belder, Maya, Spaepen, Matthias, Sunaert, Stefan, Parizel, Paul M., Van Hecke, Wim, editor, Emsell, Louise, editor, and Sunaert, Stefan, editor

Published
2016
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37. Quantitative DTI Measures

Author

Curran, Kathleen M., Emsell, Louise, Leemans, Alexander, Van Hecke, Wim, editor, Emsell, Louise, editor, and Sunaert, Stefan, editor

Published
2016
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38. The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

Author

Thompson, Paul M, Stein, Jason L, Medland, Sarah E, Hibar, Derrek P, Vasquez, Alejandro Arias, Renteria, Miguel E, Toro, Roberto, Jahanshad, Neda, Schumann, Gunter, Franke, Barbara, Wright, Margaret J, Martin, Nicholas G, Agartz, Ingrid, Alda, Martin, Alhusaini, Saud, Almasy, Laura, Almeida, Jorge, Alpert, Kathryn, Andreasen, Nancy C, Andreassen, Ole A, Apostolova, Liana G, Appel, Katja, Armstrong, Nicola J, Aribisala, Benjamin, Bastin, Mark E, Bauer, Michael, Bearden, Carrie E, Bergmann, Ørjan, Binder, Elisabeth B, Blangero, John, Bockholt, Henry J, Bøen, Erlend, Bois, Catherine, Boomsma, Dorret I, Booth, Tom, Bowman, Ian J, Bralten, Janita, Brouwer, Rachel M, Brunner, Han G, Brohawn, David G, Buckner, Randy L, Buitelaar, Jan, Bulayeva, Kazima, Bustillo, Juan R, Calhoun, Vince D, Cannon, Dara M, Cantor, Rita M, Carless, Melanie A, Caseras, Xavier, Cavalleri, Gianpiero L, Chakravarty, M Mallar, Chang, Kiki D, Ching, Christopher RK, Christoforou, Andrea, Cichon, Sven, Clark, Vincent P, Conrod, Patricia, Coppola, Giovanni, Crespo-Facorro, Benedicto, Curran, Joanne E, Czisch, Michael, Deary, Ian J, de Geus, Eco JC, den Braber, Anouk, Delvecchio, Giuseppe, Depondt, Chantal, de Haan, Lieuwe, de Zubicaray, Greig I, Dima, Danai, Dimitrova, Rali, Djurovic, Srdjan, Dong, Hongwei, Donohoe, Gary, Duggirala, Ravindranath, Dyer, Thomas D, Ehrlich, Stefan, Ekman, Carl Johan, Elvsåshagen, Torbjørn, Emsell, Louise, Erk, Susanne, Espeseth, Thomas, Fagerness, Jesen, Fears, Scott, Fedko, Iryna, Fernández, Guillén, Fisher, Simon E, Foroud, Tatiana, Fox, Peter T, Francks, Clyde, Frangou, Sophia, Frey, Eva Maria, Frodl, Thomas, Frouin, Vincent, Garavan, Hugh, Giddaluru, Sudheer, Glahn, David C, Godlewska, Beata, Goldstein, Rita Z, Gollub, Randy L, and Grabe, Hans J

Subjects
Biological Psychology, Health Sciences, Psychology, Brain Disorders, Schizophrenia, Human Genome, Biomedical Imaging, Genetics, Mental Illness, Mental Health, Neurosciences, 2.1 Biological and endogenous factors, Neurological, Mental health, Good Health and Well Being, Brain Mapping, Cooperative Behavior, Genome-Wide Association Study, Humans, Meta-Analysis as Topic, Neuroimaging, MRI, GWAS, Consortium, Meta-analysis, Multi-site, Alzheimer’s Disease Neuroimaging Initiative, EPIGEN Consortium, IMAGEN Consortium, Saguenay Youth Study (SYS) Group, Medical and Health Sciences, Psychology and Cognitive Sciences, Experimental Psychology, Biomedical and clinical sciences, Health sciences
Abstract

The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA's first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way.

Published
2014

39. Comparative validation of automated presurgical tractography based on constrained spherical deconvolution and diffusion tensor imaging with direct electrical stimulation.

Author

Radwan, Ahmed Mohamed, Emsell, Louise, Vansteelandt, Kristof, Cleeren, Evy, Peeters, Ronald, De Vleeschouwer, Steven, Theys, Tom, Dupont, Patrick, and Sunaert, Stefan

Subjects
*DIFFUSION tensor imaging, *ELECTRIC stimulation, *BODY surface mapping, *PYRAMIDAL tract, *WHITE matter (Nerve tissue), *RECEIVER operating characteristic curves
Abstract

Objectives: Accurate presurgical brain mapping enables preoperative risk assessment and intraoperative guidance. This cross‐sectional study investigated whether constrained spherical deconvolution (CSD) methods were more accurate than diffusion tensor imaging (DTI)‐based methods for presurgical white matter mapping using intraoperative direct electrical stimulation (DES) as the ground truth. Methods: Five different tractography methods were compared (three DTI‐based and two CSD‐based) in 22 preoperative neurosurgical patients undergoing surgery with DES mapping. The corticospinal tract (CST, N = 20) and arcuate fasciculus (AF, N = 7) bundles were reconstructed, then minimum distances between tractograms and DES coordinates were compared between tractography methods. Receiver‐operating characteristic (ROC) curves were used for both bundles. For the CST, binary agreement, linear modeling, and posthoc testing were used to compare tractography methods while correcting for relative lesion and bundle volumes. Results: Distance measures between 154 positive (functional response, pDES) and negative (no response, nDES) coordinates, and 134 tractograms resulted in 860 data points. Higher agreement was found between pDES coordinates and CSD‐based compared to DTI‐based tractograms. ROC curves showed overall higher sensitivity at shorter distance cutoffs for CSD (8.5 mm) compared to DTI (14.5 mm). CSD‐based CST tractograms showed significantly higher agreement with pDES, which was confirmed by linear modeling and posthoc tests (PFWE <.05). Conclusions: CSD‐based CST tractograms were more accurate than DTI‐based ones when validated using DES‐based assessment of motor and sensory function. This demonstrates the potential benefits of structural mapping using CSD in clinical practice. [ABSTRACT FROM AUTHOR]

Published
2024
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40. Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression

Author

Argyelan, Miklos, primary, Deng, Zhi-De, additional, Ousdal, Olga Therese, additional, Oltedal, Leif, additional, Angulo, Brian, additional, Baradits, Mate, additional, Spitzberg, Andrew J., additional, Kessler, Ute, additional, Sartorius, Alexander, additional, Dols, Annemiek, additional, Narr, Katherine L., additional, Espinoza, Randall, additional, van Waarde, Jeroen A., additional, Tendolkar, Indira, additional, van Eijndhoven, Philip, additional, van Wingen, Guido A., additional, Takamiya, Akihiro, additional, Kishimoto, Taishiro, additional, Jorgensen, Martin B., additional, Jorgensen, Anders, additional, Paulson, Olaf B., additional, Yrondi, Antoine, additional, Péran, Patrice, additional, Soriano-Mas, Carles, additional, Cardoner, Narcis, additional, Cano, Marta, additional, van Diermen, Linda, additional, Schrijvers, Didier, additional, Belge, Jean-Baptiste, additional, Emsell, Louise, additional, Bouckaert, Filip, additional, Vandenbulcke, Mathieu, additional, Kiebs, Maximilian, additional, Hurlemann, René, additional, Mulders, Peter CR., additional, Redlich, Ronny, additional, Dannlowski, Udo, additional, Kavakbasi, Erhan, additional, Kritzer, Michael D., additional, Ellard, Kristen K., additional, Camprodon, Joan A., additional, Petrides, Georgios, additional, Malhotra, Anil K., additional, and Abbott, Christopher C., additional

Published
2023
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44. Acoustic stimulation as a promising technique to enhance slow-wave sleep in Alzheimer’s disease: results of a pilot study

Author

Van den Bulcke, Laura, primary, Peeters, Anne-Marie, additional, Heremans, Elisabeth, additional, Davidoff, Hannah, additional, Borzée, Pascal, additional, De Vos, Maarten, additional, Emsell, Louise, additional, Van den Stock, Jan, additional, De Roo, Maaike, additional, Tournoy, Jos, additional, Buyse, Bertien, additional, Vandenbulcke, Mathieu, additional, Van Audenhove, Chantal, additional, Testelmans, Dries, additional, and Van Den Bossche, Maarten, additional

Published
2023
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46. Mild Motor Signs in Healthy Aging Are Associated with Lower Synaptic Density in the Brain

Author

Van Cauwenberge, Margot G.A., primary, Delva, Aline, additional, Vande Casteele, Thomas, additional, Laroy, Maarten, additional, Radwan, Ahmed, additional, Vansteelandt, Kristof, additional, Van den Stock, Jan, additional, Bouckaert, Filip, additional, Van Laere, Koen, additional, Emsell, Louise, additional, Vandenberghe, Wim, additional, and Vandenbulcke, Mathieu, additional

Published
2023
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47. Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression

Author

Deng, Zhi-De, primary, Ousdal, Olga Theresa, additional, Oltedal, Leif, additional, Angulo, Brian, additional, Baradits, Mate, additional, Spitzberg, Andrew, additional, Kessler, Ute, additional, Sartorius, Alexander, additional, Dols, Annemiek, additional, Narr, Katherine, additional, Espinoza, Randall, additional, Waarde, Jeroen Van, additional, Tendolkar, Indira, additional, Eijndhoven, Philip van, additional, Wingen, Guido van, additional, Takamiya, Akihiro, additional, Kishimoto, Taishiro, additional, Jorgensen, Martin, additional, Jorgensen, Anders, additional, Paulson, Olaf, additional, Yrondi, Antoine, additional, Peran, Patrice, additional, Soriano-Mas, Carles, additional, Cardoner, Narcís, additional, Cano, Marta, additional, Diermen, Linda van, additional, Schrijvers, Didier, additional, Belge, Jean-Baptiste, additional, Emsell, Louise, additional, Bouckaert, Filip, additional, Vandenbulcke, Mathieu, additional, Kiebs, Maximilian, additional, Hurlemann, Rene, additional, Mulders, Peter, additional, Redlich, Ronny, additional, Dannlowski, Udo, additional, Kavakbasi, Erhan, additional, Kritzer, Michael, additional, Ellard, Kristen, additional, Camprodon, Joan, additional, Petrides, Georgios, additional, Maholtra, Anil, additional, Abbott, Christopher, additional, and Argyelan, Miklos, additional

Published
2023
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50. 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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