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Articles by Igor Nenadic
Multimodal Machine Learning–Based Prediction of Relapse in Major Depressive Disorder
Key Points Question Does machine learning–based integration of multiple data modalities, relative to single data modalities, improve relapse prediction in major depressive disorder? Findings In this prognostic study, depressive relapse within 2 years was predicted among 564 patients with major depressive disorder, with a highest classification accuracy of 64.43%.
Resilience beyond diagnosis: prospective neural correlates of better-than-expected outcomes in depression
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Abstract Resilience, the ability to adapt positively in the face of adversity, is shaped by combined influences of risk and protective factors. Previous neuroimaging studies on resilience have predominantly focused on single factors, often operationalizing resilience dichotomously as the absence of psychiatric disorders despite adversity.
By Vincent Hammes, Katharina Brosch, Paula Usemann, Friederike David, Hannah Scherer, Christina V Schmitter, Jochen Bauer, Tiana Borgers, Kira Flinkenflügel, Dominik Grotegerd, Elisabeth Leehr, Susanne Meinert, Frederike Stein, Lea Teutenberg, Florian Thomas-Odenthal, Udo Dannlowski, Tim Hahn Verified, Hamidreza Jamalabadi, Andreas Jansen, Robert Miller, Igor Nenadic, Benjamin Straube, Albrecht Stroh, Tilo Kircher, Nina Alexander
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Nature
Verified
The effect of SSRI/SNRI antidepressant treatment on the gut microbiota of patients with major depressive disorder
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Abstract The gut microbiome has been linked to major depressive disorder (MDD), yet it remains unclear whether antidepressant treatment influences these associations. This study aimed to clarify the role of serotonin reuptake inhibitors (SSRI/SNRI) in shaping gut microbiome changes observed in MDD.
By Danique Mulder, Leon Fehse, Nils Winter, Lukas Fisch, Marius Welzel, Corinna Bang, Susanne Meinert, Kira Flinkenflügel, Tiana Borgers, Janik Goltermann, Elisabeth Leehr, Carsten Culmsee, Frederike Stein, Florian Thomas-Odenthal, Paula Usemann, Lea Teutenberg, Igor Nenadic, Benjamin Straube, Nina Alexander, Hamidreza Jamalabadi, Andreas Jansen, Robert Nitsch, Andre Franke, Udo Dannlowski, Tilo Kircher, Dominik Heider, Tim Hahn Verified, Janna N. Vrijsen, Philip van Eijndhoven, Indira Tendolkar, Andreas Reif, Sharmili Edwin Thanarajah, Silke Matura, Alejandro Arias Vasquez, Mirjam Bloemendaal, Eugenia Emile Natasha, Andreas Lügering
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Nature
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The neuroanatomy of depression: weak but replicable effects in 4021 individuals from three clinical cohorts
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Abstract The structural neuroanatomy underlying Major Depressive Disorder (MDD) remains elusive and even large-scale neuroimaging studies and meta-analyses produced inconsistent outcomes with marginal effect sizes. Furthermore, the replicability of brain-psychopathology associations is under scrutiny, attributable to inadequately powered sample sizes and inflated effect sizes.
By Udo Dannlowski, Nils Winter, Susanne Meinert, Dominik Grotegerd, Anna D. Kraus, Kira Flinkenflügel, Elisabeth Leehr, Joscha Böhnlein, Tiana Borgers, Lukas Fisch, Michael Bauer, Andrea Pfennig, Maike Richter, Nils Opel, Jonathan Repple, Marius Gruber, Heike Minnerup, Marco Hermesdorf, Robert Nitsch, Andreas Jansen, Nina Alexander, Frederike Stein, Igor Nenadic, Klaus Berger, Tilo Kircher, Tim Hahn Verified, Janik Goltermann, Joachim Groß
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Nature
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Multiscale characterization of cortical signatures in positive and negative schizotypy: a worldwide ENIGMA study
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By Matthias Kirschner, Benazir Hodzic-Santor, Leda Kennedy, Justine Y. Hansen, Mathilde Antoniades, Igor Nenadic, Tilo Kircher, Axel Krug, Udo Dannlowski, Dominik Grotegerd, Kira Flinkenflügel, Susanne Meinert, Tiana Borgers, Janik Goltermann, Tim Hahn Verified, Joscha Böhnlein, Elisabeth Leehr, Carlotta Barkhau, Aurina Arnatkeviciute, Mark A. Bellgrove, Jeggan Tiego, Pamela DeRosse, Melissa Green, Yann Quidé, Christos Pantelis, Raymond Chan, Yi Wang, Ulrich Ettinger, Martin Debbané, Mélodie Derome, Christian Gaser, Bianca Besteher, Kelly M. Diederen, Tom Spencer, Josselin Houenou, Edith Pomarol-Clotet, Raymond Salvador, Wulf Rössler, Lukasz Smigielski, Veena Kumari, Preethi Premkumar, Kristina Wiebels, James Gilleen, Paul Allen, Jan-Bernard C. Marsman, Irina V. Lebedeva, Anne-Kathrin J. Fett, Iris Sommer, Sanne Koops, Phillip S. Grant, Asia Ferrari, Indrit Bègue, Dennis Hernaus, Maria Jalbrzikowski, Casey Paquola, Sara Larivière, Boris C. Bernhardt, Sofie L. Valk, Bratislav Misic, Theo van Erp, Jessica Turner, Paul Thompson, André Aleman, Alain Dagher, Stefan Kaiser Verified, Gemma Modinos, Tina Meller, Imke Jansen, Alexander Tomyshev
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Nature
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Cortical morphometry might predict currently prescribed vs. discontinued medications in bipolar disorder, even after controlling for the cumulative dose effects: An ENIGMA mega-analysis
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Abstract Recent research suggests that brain anatomy may help identify the most effective pharmacological treatment for each individual with bipolar disorder and reduce trial-and-error prescribing. We aimed to investigate whether brain anatomy predicts whether a medication is currently prescribed or has been discontinued, as a proxy for treatment effectiveness.
By Lydia Fortea, Miguel Ángel Rivas-Fernández, Aleix Solanes, Sinead King, Leila Nabulsi, Martin Alda, Nina Alexander, Jochen Bauer, Francesco Benedetti, Tiana Borgers, Beatrice Bravi, Irene Bollettini, Erick J. Canales-Rodriguez, Dara M. Cannon, Udo Dannlowski, Annabella Di Giorgio, Kira Flinkenflügel, Paola Fuentes-Claramonte, Lisa Furlong, Ian H. Gotlib, Melissa Green, Dominik Grotegerd, Tim Hahn Verified, Tomas Hajek, Diego Hidalgo-Mazzei, Fleur M Howells, Hamidreza Jamalabadi, Andreas Jansen, James A. Karantonis, Andriana Karuk, Tilo Kircher, Elisabeth Leehr, Yanghee Im, Sean R. McWhinney, Susanne Meinert, Igor Nenadic, Andrea Pfennig, Sara Poletti, Edith Pomarol-Clotet, Yann Quidé, Susan L Rossell, Matthew D. Sacchet, Raymond Salvador, Fabio Sambataro, Salvador Sarró, Freda Scheffler, Kang Hee Sim, Dan Stein, Frederike Stein, Benjamin Straube, Henk S. Temmingh, Florian Thomas-Odenthal, Sophia I. Thomopoulos, Tamsyn Van Rheenen, Enric Vilajosana, Ling-Li Zeng, Ole A. Andreassen, Eduard Vieta, Paul Thompson, Colm McDonald, Joaquim Radua, Bartholomeus C. M. Haarman, Melody J. Y. Kang, Elisa MT Melloni, Lea Teutenberg, Christopher R. K. Ching
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Nature
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Scalable depression monitoring with smartphone speech using a multimodal benchmark and topic analysis - npj Digital Medicine
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Abstract Objective, scalable biomarkers are needed for continuous monitoring of major depressive disorder. Smartphone-collected speech is promising, yet clinically useful signals remain elusive. We analyzed 3151 weekly voice diaries from 284 German-speaking adults (128 MDD, 156 controls) to predict Beck Depression Inventory (BDI) scores.
By Daniel Emden, Maike Richter, Astrid Chevance, Ramona Leenings, Vincent Holstein, Janik Goltermann, Nils Winter, Susanne Meinert, Tiana Borgers, Kira Flinkenflügel, Frederike Stein, Nina Alexander, Hamidreza Jamalabadi, Jonathan Repple, Christian Dobel, Elisabeth Leehr, Ronny Redlich, Ulrich Ebner-Priemer, Igor Nenadic, Tilo Kircher, Udo Dannlowski, Tim Hahn Verified, Nils Opel, Julian Herpertz, Lara Gutfleisch, Anna Fleuchaus, Rogério Blitz, Jennifer Spanagel
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Nature
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Psychotropic medications and their interactions with subcortical brain volume in bipolar disorder: An ENIGMA mega-analysis - Molecular Psychiatry
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Abstract MRI studies in bipolar disorder (BD) have yielded inconsistent findings, partly due to the varied use of psychotropic medications. This study utilised a mega-analysis approach, accounting for concurrent medication status (syndrome-based and Neuroscience-based Nomenclature (NbN) classifications), in order to assess the association of medication status with subcortical brain volumes in BD.
By Joaquim Radua, Brian Hallahan, Christoph Abe, Dag Alnæs, Silvia Amoretti, Jochen Bauer, Francesco Benedetti, Michael Berk, Erlend Bøen, Joscha Böhnlein, Beatrice Bravi, Udo Dannlowski, Caroline Demro, Torbjørn Elvsåshagen, Maria Forte, Janice M. Fullerton, David Glahn, Benjamin I. Goldstein, Ian H. Gotlib, Roberto Goya-Maldonado, Melissa Green, Dominik Grotegerd, Tim Hahn Verified, Tomas Hajek, Josselin Houenou, Fleur M Howells, Kody G. Kennedy, Tilo Kircher, Anna Luisa Klahn, Maximilian Konowski, Rayus Kuplicki, Mikael Landén, Bradley J. MacIntosh, Hannah Meinert, Susanne Meinert, Philip Mitchell, Igor Nenadic, Bronwyn Overs, Nadine Staples Parker, Godfrey Pearlson, James J. Prisciandaro, Yann Quidé, Amanda L. Rodrigue, Amanda Bautista Rodrígue, Fabio Sambataro, Jonathan Savitz, Freda Scheffler, Kang Hee Sim, Jair C. Soares, Aleix Solanes, Scott R. Sponheim, Dan Stein, Frederike Stein, Sophia I. Thomopoulos, Eduard Vieta, Lars T. Westlye, Daniel Wolf, Mon-Ju Wu, Dara M. Cannon, Ole A. Andreassen, Colm McDonald, Sinead King, Márcio Gerhardt Soeiro-de-Souza
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Nature
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Structural brain abnormalities and aggression in schizophrenia: mega-analysis of data from 2095 patients and 2861 healthy controls via the ENIGMA consortium | Molecular Psychiatry
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Abstract It is hypothesised that structural brain abnormalities in individuals with schizophrenia are associated with aggressive behaviour, but this has not been tested directly. We pooled magnetic resonance imaging and clinical data from 2095 patients and 2861 healthy control subjects across 20 sites of the ENIGMA-Schizophrenia Working Group.
By Seyed M. Kia, Wiepke Cahn, Nerisa Banaj, Katharina Brosch, Rachel M. Brouwer, Vince Calhoun, Sunah Choi, Young-Chul Chung, Derin Cobia, Sirio Cocozza, Andrea de Bartolomeis, Marta Di Forti, Alexandre Dumais, Ulrika Evermann, Kira Flinkenflügel, Foivos Georgiadis, David Glahn, Janik Goltermann, Melissa Green, Dominik Grotegerd, Hilleke Hulshoff Pol, Felice Iasevoli, Andriana Karuk, Minah Kim, Tilo Kircher, Matthias Kirschner, Jun Soo Kwon, Rebekka Lencer, Tiago R Marques, Susanne Meinert, Robin Murray, Igor Nenadic, Godfrey Pearlson, Fabrizio Piras, Giuseppe Pontillo, Yann Quidé, Amanda L. Rodrigue, Amanda Bautista Rodrígue, Kang Hee Sim, Antonin Skoch, Gianfranco Spalletta, Filip Spaniel, Florian Thomas-Odenthal, David Tomecek, Mario Tranfa, Jessica Turner, Daniela Vecchio, Adrian Wroblewski, Arturo Brunetti
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Nature
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Transdiagnostic alterations in white matter microstructure associated with suicidal thoughts and behaviours in the ENIGMA Suicidal Thoughts and Behaviours consortium | Translational Psychiatry
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Abstract Previous studies have suggested that alterations in white matter (WM) microstructure are implicated in suicidal thoughts and behaviours (STBs). However, findings of diffusion tensor imaging (DTI) studies have been inconsistent.
By Lejla Colic, Zuriel Ceja, Maria R. Dauvermann, Luca Villa, Yara J. Toenders, Martin Alda, Rosa Ayesa-Arriola, Elizabeth Ballard, Nerisa Banaj, Zeynep Başgöze, Jochen Bauer, Francesco Benedetti, Bianca Besteher, Katharina Brosch, Simon Cervenka, Romain Colle, Philippe Courtet, Kathryn Cullen, Udo Dannlowski, Jennifer Evans, Negar Fani, Kira Flinkenflügel, Naomi Friedman, Ian H. Gotlib, Nynke A. Groenewold, Tomas Hajek, Alexander S. Hatoum, Ian B Hickie, Yoshiyuki Hirano, Andrea Jackowski, Fabrice Jollant, Tilo Kircher, Anna D. Kraus, Axel Krug, Emmanuelle Le Bars, Elisabeth Leehr, Ivan Maximov, Andrew McIntosh, Andrew Mcintosh, Susanne Meinert, Philip Mitchell, Igor Nenadic, Stener Nerland, Emilie Olié, Pedro M. Pan, Fabrizio Piras, Federica Piras, Sara Poletti, Anca-Larisa Sandu, Carl M. Sellgren, Eiji Shimizu, Harry R. Smolker, Jair C. Soares, Frederike Stein, Dan Stein, Benjamin Straube, Florian Thomas-Odenthal, Gerd Wagner, Martin Walter, Heather C. Whalley, Mon-Ju Wu, André Zugman, Kees van Heeringen, Hilary P. Blumberg, Miguel E. Rentería, Behaviours Consortium, Yuki Ikemizu, Yuko Isobe
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Nature
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Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning model - Molecular Psychiatry
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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.
By Roberto Goya-Maldonado, Alyssa R. Amod, Zeynep Başgöze, Francesco Benedetti, Bianca Besteher, Katharina Brosch, Robin Bülow, Romain Colle, Baptiste Couvy-Duchesne, Kathryn Cullen, Udo Dannlowski, Christopher G Davey, Jan Ernsting, Jennifer Evans, Paola Fuentes-Claramonte, Ali Saffet Gonul, Ian H. Gotlib, Nynke A. Groenewold, Tim Hahn Verified, Alec J. Jamieson, Andriana Karuk, Tilo Kircher, Bonnie Klimes-Dougan, Thomas Lancaster, Susanne Meinert, Bryon A. Mueller, Igor Nenadic, Amar Ojha, Sara Poletti, Maria J Portella, Joaquim Radua, Jair C. Soares, Aleix Solanes, Dan Stein, Frederike Stein, Aleks Stolicyn, Sophia I. Thomopoulos, Yara J. Toenders, Aslihan Uyar-Demir, Eduard Vieta, Martin Walter, Heather C. Whalley, Sarah Whittle, Nils Winter, Katharina Wittfeld, Margaret Wright, Mon-Ju Wu, Lianne Schmaal, Paul Thompson
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Nature
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Gray matter correlates of childhood maltreatment lack replicability in a multi-cohort brain-wide association study - Nature Communications
Abstract Childhood maltreatment effects on cerebral gray matter have been frequently discussed as a neurobiological pathway for depression. However, localizations are highly heterogeneous, and recent reports have questioned the replicability of mental health neuroimaging findings. Here, we investigate the replicability of gray matter correlates of maltreatment, measured retrospectively via the Childhood Trauma Questionnaire, across three large adult cohorts (total N = 3225).
Association between polygenic risk for Major Depression and brain structure in a mega-analysis of 50,975 participants across 11 studies - Molecular Psychiatry
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Abstract Major Depression (MD) is a prevalent, disabling and life-limiting condition. The neurobiological associations of genetic risk for MD remain under-explored in large samples, with no comprehensive mega-analysis conducted to date. Our study analysed data from 11 separate studies, encompassing 50,975 participants from the ENIGMA Major Depressive Disorder Working Group.
By Xueyi Shen, Yara J. Toenders, Antoine Weihs, Katharina Brosch, Andreas J. Forstner, Tim Hahn Verified, Hamidreza Jamalabadi, Susanne Meinert, Yuri Milaneschi, Philipp Sämann, Aleks Stolicyn, Mark Adams, Florian Thomas-Odenthal, Katharina Wittfeld, Marisol Herrera-Rivero, Nynke A. Groenewold, Udo Dannlowski, Tilo Kircher, Igor Nenadic, Benjamin Straube, Dan Stein, Sarah E. Medland, Axel Krug, Katie McMahon, Greig de Zubicaray, Lianne Schmaal, Andrew McIntosh, Andrew Mcintosh, Heather C. Whalley
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Nature
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Brain structural correlates of an impending initial major depressive episode - Neuropsychopharmacology
Abstract Neuroimaging research has yet to elucidate whether reported gray matter volume (GMV) alterations in major depressive disorder (MDD) exist already before the onset of the first episode. Recruitment of presently healthy individuals with a subsequent transition to MDD (converters) is extremely challenging but crucial to gain insights into neurobiological vulnerability.
White matter microstructure in obesity and bipolar disorders: an ENIGMA bipolar disorder working group study in 2186 individuals - Molecular Psychiatry
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Abstract Although specific risk factors for brain alterations in bipolar disorders (BD) are currently unknown, obesity impacts the brain and is highly prevalent in BD. Gray matter correlates of obesity in BD have been well documented, but we know much less about brain white matter abnormalities in people who have both obesity and BD.
By Christoph Abe, Francesco Benedetti, Erlend Bøen, Katharina Brosch, Erick J. Canales-Rodriguez, Torbjørn Elvsåshagen, Kira Flinkenflügel, Lydia Fortea, Benjamin I. Goldstein, Dominik Grotegerd, Fleur M Howells, Kody G. Kennedy, Anna D. Kraus, Mikael Landén, Bradley J. MacIntosh, Colm McDonald, Andrew McIntosh, Andrew Mcintosh, Susanne Meinert, Philip Mitchell, Igor Nenadic, Mary Phillips, Arnaud Pouchon, Joaquim Radua, Jair C. Soares, Benjamin Straube, Chao Suo, Florian Thomas-Odenthal, Amelia Versace, Eduard Vieta, Wei Wen, Heather C. Whalley, Mon-Ju Wu, Ole A. Andreassen, Tomas Hajek, Carlotta Barkhau, Anna Luisa Klahn, Hannah Meinert, Frederike Stein, Enric Vilajosana
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Nature
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Factor analysis of lifetime psychopathology and its brain morphometric and genetic correlates in a transdiagnostic sample - Translational Psychiatry
Abstract There is a lack of knowledge regarding the relationship between proneness to dimensional psychopathological syndromes and the underlying pathogenesis across major psychiatric disorders, i.e., Major Depressive Disorder (MDD), Bipolar Disorder (BD), Schizoaffective Disorder (SZA), and Schizophrenia (SZ). Lifetime psychopathology was assessed using the OPerational CRITeria (OPCRIT) system in 1,038 patients meeting DSM-IV-TR criteria for MDD, BD, SZ, or SZA.
Differences in the neural correlates of schizophrenia with positive and negative formal thought disorder in patients with schizophrenia in the ENIGMA dataset | Molecular Psychiatry
Abstract Formal thought disorder (FTD) is a clinical key factor in schizophrenia, but the neurobiological underpinnings remain unclear. In particular, the relationship between FTD symptom dimensions and patterns of regional brain volume loss in schizophrenia remains to be established in large cohorts. Even less is known about the cellular basis of FTD.
The neural signature of psychomotor disturbance in depression - Molecular Psychiatry
Abstract Up to 70% of patients with major depressive disorder present with psychomotor disturbance (PmD), but at the present time understanding of its pathophysiology is limited. In this study, we capitalized on a large sample of patients to examine the neural correlates of PmD in depression. This study included 820 healthy participants and 699 patients with remitted (n = 402) or current (n = 297) depression. Patients were further categorized as having psychomotor retardation, agitation, or no PmD.
Modelling the overlap and divergence of autistic and schizotypal traits on hippocampal subfield volumes and regional cerebral blood flow - Molecular Psychiatry
Abstract Psychiatric disorders show high co-morbidity, including co-morbid expressions of subclinical psychopathology across multiple disease spectra. Given the limitations of classical case-control designs in elucidating this overlap, new approaches are needed to identify biological underpinnings of spectra and their interaction.
Biological sex classification with structural MRI data shows increased misclassification in transgender women
Abstract Transgender individuals (TIs) show brain-structural alterations that differ from their biological sex as well as their perceived gender. To substantiate evidence that the brain structure of TIs differs from male and female, we use a combined multivariate and univariate approach.
Common and distinct structural features of schizophrenia and bipolar disorder: The European Network on Psychosis, Affective disorders and Cognitive Trajectory (ENPACT) study
The VBM results of Dataset1 showed 1) in BD compared to HC, GMV deficits in right cingulate, superior temporal and calcarine cortices, 2) in SCZ compared to HC, GMV deficits in widespread cortical and subcortical areas, 3) in SCZ compared to BD, GMV deficits in insula and thalamus (p<0.05, cluster family wise error corrected). The regions showing GMV deficits in the BD group were mostly included in the SCZ ones.
Patterns of cortical thinning in different subgroups of schizophrenia
Abstract Background Alterations of cortical thickness have been shown in imaging studies of schizophrenia but it is unclear to what extent they are related to disease phenotype (including symptom profile) or other aspects such as genetic liability, disease onset and disease progression. Aims To test the hypothesis that cortical thinning would vary across different subgroups of patients with chronic schizophrenia, delineated according to their symptom profiles.
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