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L. Schmaal
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4 records found
1
Journal article
(2019)
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H. Geugies, E. M. Opmeer, R. A. Schoevers, H. G. Ruhé, J. B.C. Marsman, C. A. Figueroa, M. J. van Tol, L. Schmaal, N. J.A. van der Wee, A. Aleman, B. W.J.H. Penninx, D. J. Veltman
Insufficient response to treatment is the main cause of prolonged suffering from major depressive disorder (MDD). Early identification of insufficient response could result in faster and more targeted treatment strategies to reduce suffering. We therefore explored whether baseline alterations within and between resting state functional connectivity networks could serve as markers of insufficient response to antidepressant treatment in two years of follow-up. We selected MDD patients (N = 17) from the NEtherlands Study of Depression and Anxiety (NESDA), who received ≥ two antidepressants, indicative for insufficient response, during the two year follow-up, a group of MDD patients who received only one antidepressant (N = 32) and a healthy control group (N = 19) matched on clinical characteristics and demographics. An independent component analysis (ICA) of baseline resting-state scans was conducted after which functional connectivity within the components was compared between groups. We observed lower connectivity of the right insula within the salience network in the group with ≥ two antidepressants compared to the group with one antidepressant. No difference in connectivity was found between the patient groups and healthy control group. Given the suggested role of the right insula in switching between task-positive mode (activation during attention-demanding tasks) and task-negative mode (activation during the absence of any task), we explored whether right insula activation differed during switching between these two modes. We observed that in the ≥2 antidepressant group, the right insula was less active compared to the group with one antidepressant, when switching from task-positive to task-negative mode than the other way around. These findings imply that lower right insula connectivity within the salience network may serve as an indicator for prospective insufficient response to antidepressants. This result, supplemented by the diminished insula activation when switching between task and rest related networks, could indicate an underlying mechanism that, if not sufficiently targeted by current antidepressants, could lead to insufficient response. When replicated, these findings may contribute to the identification of biomarkers for early detection of insufficient response.
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Insufficient response to treatment is the main cause of prolonged suffering from major depressive disorder (MDD). Early identification of insufficient response could result in faster and more targeted treatment strategies to reduce suffering. We therefore explored whether baseline alterations within and between resting state functional connectivity networks could serve as markers of insufficient response to antidepressant treatment in two years of follow-up. We selected MDD patients (N = 17) from the NEtherlands Study of Depression and Anxiety (NESDA), who received ≥ two antidepressants, indicative for insufficient response, during the two year follow-up, a group of MDD patients who received only one antidepressant (N = 32) and a healthy control group (N = 19) matched on clinical characteristics and demographics. An independent component analysis (ICA) of baseline resting-state scans was conducted after which functional connectivity within the components was compared between groups. We observed lower connectivity of the right insula within the salience network in the group with ≥ two antidepressants compared to the group with one antidepressant. No difference in connectivity was found between the patient groups and healthy control group. Given the suggested role of the right insula in switching between task-positive mode (activation during attention-demanding tasks) and task-negative mode (activation during the absence of any task), we explored whether right insula activation differed during switching between these two modes. We observed that in the ≥2 antidepressant group, the right insula was less active compared to the group with one antidepressant, when switching from task-positive to task-negative mode than the other way around. These findings imply that lower right insula connectivity within the salience network may serve as an indicator for prospective insufficient response to antidepressants. This result, supplemented by the diminished insula activation when switching between task and rest related networks, could indicate an underlying mechanism that, if not sufficiently targeted by current antidepressants, could lead to insufficient response. When replicated, these findings may contribute to the identification of biomarkers for early detection of insufficient response.
Journal article
(2017)
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L. Schmaal, D. P. Hibar, Meike W. Vernooij, W. J. Niessen, H Tiemeier, A Hofman, K. Wittfeld, H. J. Grabe, Deborah Janowitz, R. Bülow, M. Selonke, Henry Völzke, Philipp G. Sämann, D. Grotegerd, U. Dannlowski, V. Arolt, N. Opel, W. Heindel, H Kugel, D. Hoehn, M. Czisch, B. Couvy-Duchesne, Miguel E. Rentería, G. B. Hall, L. T. Strike, M. J. Wright, N. T. Mills, G. I. De Zubicaray, K. L. McMahon, S. E. Medland, Nicholas G. Martin, N. A. Gillespie, R. Goya-Maldonado, O. Gruber, B. T. Baune, B. Krämer, S. N. Hatton, J. Lagopoulos, I. B. Hickie, T. Frodl, A. Carballedo, E. M. Frey, L. S. Van Velzen, B. W J H Penninx, M. J. Van Tol, N. Jahanshad, N. J. Van Der Wee, C. G. Davey, B. J. Harrison, B. Mwangi, B. Cao, J. C. Soares, I. M. Veer, H Walter, D. Schoepf, B. Zurowski, J. W. Cheung, C. Konrad, E Schramm, C. Normann, K. Schnell, M. D. Sacchet, I. H. Gotlib, G. M. MacQueen, B. R. Godlewska, T. Nickson, A. M. McIntosh, T. G M Van Erp, Martina Papmeyer, H. C. Whalley, J Hall, J. E. Sussmann, M. Li, MT Walter, L. Aftanas, I. Brack, N. A. Bokhan, P. M. Thompson, D. Bos, D. J. Veltman, Mohammad A. Ikram
The neuro-anatomical substrates of major depressive disorder (MDD) are still not well understood, despite many neuroimaging studies over the past few decades. Here we present the largest ever worldwide study by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Major Depressive Disorder Working Group on cortical structural alterations in MDD. Structural T1-weighted brain magnetic resonance imaging (MRI) scans from 2148 MDD patients and 7957 healthy controls were analysed with harmonized protocols at 20 sites around the world. To detect consistent effects of MDD and its modulators on cortical thickness and surface area estimates derived from MRI, statistical effects from sites were meta-analysed separately for adults and adolescents. Adults with MDD had thinner cortical gray matter than controls in the orbitofrontal cortex (OFC), anterior and posterior cingulate, insula and temporal lobes (Cohen's d effect sizes: -0.10 to -0.14). These effects were most pronounced in first episode and adult-onset patients (>21 years). Compared to matched controls, adolescents with MDD had lower total surface area (but no differences in cortical thickness) and regional reductions in frontal regions (medial OFC and superior frontal gyrus) and primary and higher-order visual, somatosensory and motor areas (d: -0.26 to -0.57). The strongest effects were found in recurrent adolescent patients. This highly powered global effort to identify consistent brain abnormalities showed widespread cortical alterations in MDD patients as compared to controls and suggests that MDD may impact brain structure in a highly dynamic way, with different patterns of alterations at different stages of life.
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The neuro-anatomical substrates of major depressive disorder (MDD) are still not well understood, despite many neuroimaging studies over the past few decades. Here we present the largest ever worldwide study by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Major Depressive Disorder Working Group on cortical structural alterations in MDD. Structural T1-weighted brain magnetic resonance imaging (MRI) scans from 2148 MDD patients and 7957 healthy controls were analysed with harmonized protocols at 20 sites around the world. To detect consistent effects of MDD and its modulators on cortical thickness and surface area estimates derived from MRI, statistical effects from sites were meta-analysed separately for adults and adolescents. Adults with MDD had thinner cortical gray matter than controls in the orbitofrontal cortex (OFC), anterior and posterior cingulate, insula and temporal lobes (Cohen's d effect sizes: -0.10 to -0.14). These effects were most pronounced in first episode and adult-onset patients (>21 years). Compared to matched controls, adolescents with MDD had lower total surface area (but no differences in cortical thickness) and regional reductions in frontal regions (medial OFC and superior frontal gyrus) and primary and higher-order visual, somatosensory and motor areas (d: -0.26 to -0.57). The strongest effects were found in recurrent adolescent patients. This highly powered global effort to identify consistent brain abnormalities showed widespread cortical alterations in MDD patients as compared to controls and suggests that MDD may impact brain structure in a highly dynamic way, with different patterns of alterations at different stages of life.
Journal article
(2016)
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Hieab H H Adams, Derrek P. Hibar, Ashley H. Beecham, Lianne Schmaal, Andrew J. Schork, Li Shen, Jean Shin, Elena Shumskaya, Albert V. Smith, Emma Sprooten, Lachlan T. Strike, Alexander Teumer, Russell Thomson, Neda Jahanshad, Diana Tordesillas-Gutierrez, Roberto Toro, Daniah Trabzuni, Dhananjay Vaidya, Jeroen Van Der Grond, Dennis Van Der Meer, Marjolein M J Van Donkelaar, Kristel R. Van Eijk, Theo G M Van Erp, Daan Van Rooij, Katharina Wittfeld, Esther Walton, Lars T. Westlye, Christopher D. Whelan, Beverly G. Windham, Anderson M. Winkler, Girma Woldehawariat, Christiane Wolf, Thomas Wolfers, Bing Xu, Lisa R. Yanek, Sven J. Van Der Lee, Jingyun Yang, Alex Zijdenbos, Marcel P. Zwiers, Ingrid Agartz, Neelum T. Aggarwal, Laura Almasy, David Ames, Philippe Amouyel, Ole A. Andreassen, Sampath Arepalli, Lucija Abramovic, Amelia A. Assareh, Sandra Barral, Mark E. Bastin, Diane M. Becker, James T. Becker, David A. Bennett, John Blangero, Hans Van Bokhoven, Dorret I. Boomsma, Henry Brodaty, Saud Alhusaini, Rachel M. Brouwer, Han G. Brunner, Randy L. Buckner, Jan K. Buitelaar, Kazima B. Bulayeva, Wiepke Cahn, Vince D. Calhoun, Dara M. Cannon, Gianpiero L. Cavalleri, Christopher Chen, Najaf Amin, Ching Yu Cheng, Sven Cichon, Mark R. Cookson, Aiden Corvin, Benedicto Crespo-Facorro, Joanne E. Curran, Michael Czisch, Anders M. Dale, Gareth E. Davies, Eco J C De Geus, Micael Andersson, Philip L. De Jager, Greig I. De Zubicaray, Norman Delanty, Chantal Depondt, Anita L. Destefano, Allissa Dillman, Srdjan Djurovic, Gary Donohoe, Wayne C. Drevets, Ravi Duggirala, Konstantinos Arfanakis, Thomas D. Dyer, Susanne Erk, Thomas Espeseth, Denis A. Evans, Iryna O. Fedko, Guillén Fernández, Luigi Ferrucci, Simon E. Fisher, Debra A. Fleischman, Ian Ford, Benjamin S. Aribisala, Tatiana M. Foroud, Peter T. Fox, Clyde Francks, Masaki Fukunaga, J. Raphael Gibbs, David C. Glahn, Randy L. Gollub, Harald H H Göring, Hans J. Grabe, Robert C. Green, Vincent Chouraki, Nicola J. Armstrong, Oliver Gruber, Vilmundur Gudnason, Sebastian Guelfi, Narelle K. Hansell, John Hardy, Catharina A. Hartman, Ryota Hashimoto, Katrin Hegenscheid, Andreas Heinz, Stephanie Le Hellard, Lavinia Athanasiu, Dena G. Hernandez, Dirk J. Heslenfeld, Beng Choon Ho, Pieter J. Hoekstra, Wolfgang Hoffmann, Albert Hofman, Florian Holsboer, Georg Homuth, Norbert Hosten, Jouke Jan Hottenga, Tomas Axelsson, Hilleke E Hulshoff Pol, Masashi Ikeda, M. Kamran Ikram, Clifford R. Jack, Mark Jenkinson, Robert Johnson, Erik G. Jönsson, J. Wouter Jukema, René S. Kahn, Derek W. Morris, Alexa Beiser, Wiro J. Niessen, More Authors..., Manon Bernard, Joshua C. Bis, Laura M E Blanken, Susan H. Blanton, Marc M. Bohlken, Marco P. Boks, Jason L. Stein, Janita Bralten, Adam M. Brickman, Owen Carmichael, M. Mallar Chakravarty, Ganesh Chauhan, Qiang Chen, Christopher R K Ching, Gabriel Cuellar-Partida, Anouk Den Braber, Nhat Trung Doan, Paul A. Nyquist, Stefan Ehrlich, Irina Filippi, Tian Ge, Sudheer Giddaluru, Aaron L. Goldman, Rebecca F. Gottesman, Corina U. Greven, Oliver Grimm, Michael E. Griswold, Tulio Guadalupe, Miguel E. Rentería, Johanna Hass, Unn K. Haukvik, Saima Hilal, Edith Hofer, David Hoehn, Avram J. Holmes, Martine Hoogman, Deborah Janowitz, Tianye Jia, Dalia Kasperaviciute, Stella Trompet, Sungeun Kim, Marieke Klein, Bernd Kraemer, Phil H. Lee, Jiemin Liao, David C M Liewald, Lorna M. Lopez, Michelle Luciano, Christine Macare, Andre Marquand, Alejandro Arias-Vasquez, Mar Matarin, Karen A. Mather, Manuel Mattheisen, Bernard Mazoyer, David R. McKay, Rebekah McWhirter, Yuri Milaneschi, Nazanin Mirza-Schreiber, Ryan L. Muetzel, Susana Muñoz Maniega, Sudha Seshadri, Kwangsik Nho, Allison C. Nugent, Loes M Olde Loohuis, Jaap Oosterlaan, Martina Papmeyer, Irene Pappa, Lukas Pirpamer, Sara Pudas, Benno Pütz, Kumar B. Rajan, Sylvane Desrivières, Adaikalavan Ramasamy, Jennifer S. Richards, Shannon L. Risacher, Roberto Roiz-Santiañez, Nanda Rommelse, Emma J. Rose, Natalie A. Royle, Tatjana Rundek, Philipp G. Sämann, Claudia L. Satizabal
Intracranial volume reflects the maximally attained brain size during development, and remains stable with loss of tissue in late life. It is highly heritable, but the underlying genes remain largely undetermined. In a genome-wide association study of 32,438 adults, we discovered five previously unknown loci for intracranial volume and confirmed two known signals. Four of the loci were also associated with adult human stature, but these remained associated with intracranial volume after adjusting for height. We found a high genetic correlation with child head circumference (genetic = 0.748), which indicates a similar genetic background and allowed us to identify four additional loci through meta-analysis (N combined = 37,345). Variants for intracranial volume were also related to childhood and adult cognitive function, and Parkinson's disease, and were enriched near genes involved in growth pathways, including PI3K-AKT signaling. These findings identify the biological underpinnings of intracranial volume and their link to physiological and pathological traits.
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Intracranial volume reflects the maximally attained brain size during development, and remains stable with loss of tissue in late life. It is highly heritable, but the underlying genes remain largely undetermined. In a genome-wide association study of 32,438 adults, we discovered five previously unknown loci for intracranial volume and confirmed two known signals. Four of the loci were also associated with adult human stature, but these remained associated with intracranial volume after adjusting for height. We found a high genetic correlation with child head circumference (genetic = 0.748), which indicates a similar genetic background and allowed us to identify four additional loci through meta-analysis (N combined = 37,345). Variants for intracranial volume were also related to childhood and adult cognitive function, and Parkinson's disease, and were enriched near genes involved in growth pathways, including PI3K-AKT signaling. These findings identify the biological underpinnings of intracranial volume and their link to physiological and pathological traits.
Journal article
(2016)
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L. Schmaal, D. J. Veltman, More Authors..., T. G M Van Erp, P. G. Smann, T. Frodl, N. Jahanshad, E. Loehrer, M. W. Vernooij, W. J. Niessen, M. A. Ikram