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Articles by Nils Winter
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%.
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
Verified
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
Verified
Moving beyond accuracy to overcome translational barriers in depression relapse prediction
This Comment argues for better consideration of additional factors, such as external validation, real-world feasibility, and clinical utility, to improve the translation of predictive models for relapse prediction in depression.
E.DIS Netz spendet neuen Gassensor an Feuerwehr
Das Gerät gehört nun zur Ausrüstung der Kammeraden der Freiwilligen Feuerwehr Pentz-Gnevekow und hilft bei Gefahrenlagen und Menschenrettung Die E.DIS Netz GmbH hat der Freiwilligen Feuerwehr Pentz-Gnevezow ein neues Gaswarngerät im Wert von rund 1.300 Euro übergeben. Mit der Spende unterstreicht das Unternehmen sein Engagement für die Sicherheit in den Gemeinden des Netzgebietes und unterstützt die ehrenamtlichen Einsatzkräfte bei ihrer wichtigen Arbeit.
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
Verified
Network-based analysis of differential white matter connectivity in major depressive disorder with and without comorbid anxiety - Neuropsychopharmacology
Abstract Current psychiatric neuroimaging supports the view that major depressive disorder (MDD) is a dysconnection syndrome, characterized by structural brain dysconnectivity. Recent studies investigating this question, however, did not evaluate the involvement of comorbid disorders, of which anxiety disorders (ANX) are particularly prevalent. Here, we investigated the structural connectivity alterations observed in MDD with and without comorbid ANX.
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
Verified
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).
Gray matter correlates of childhood maltreatment: searching for replicability in a multi-cohort brain-wide association study
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).
From Gut to Brain: Evidence for a Causal Contribution of Gut-Microbiota to Major Depressive Disorder in Humans
The authors have declared no competing interest. This work was funded in part by the consortia grants from the German Research Foundation (DFG) SFB/TRR 393 (project grant no 521379614), the European Unions Horizon 2020 Research and Innovation Program under grant agreement No. 847879 and the Hessian Ministry of Science and Arts (HMWK) LOEWE program (LOEWE Centre DYNAMIC). This work is part of the German multicenter consortium Neurobiology of Affective Disorders.
Gray matter correlates of childhood maltreatment in the context of major depression: searching for replicability in a multi-cohort brain-wide association study of 3225 adults
Abstract Background: Childhood maltreatment has been associated with gray matter alterations, particularly within limbic and prefrontal regions. However, findings are heterogeneous, potentially due to differing methodologies and sample characteristics. Here, we investigate the cross-cohort replicability of gray matter correlates of childhood maltreatment across large clinical and non-clinical adult samples using harmonized assessment, preprocessing and analysis pipelines.
Generalizability of Clinical Prediction Models in Mental Health - Real-World Validation of Machine Learning Models for Depressive Symptom Prediction
FP is a member of the European Scientific Advisory Board of Brainsway Inc., Jerusalem, Israel, and the International Scientific Advisory Board of Sooma, Helsinki, Finland. He has received speaker's honoraria from Mag&More GmbH and the neuroCare Group. His lab has received support with equipment from neuroConn GmbH, Ilmenau, Germany, and Mag&More GmbH and Brainsway Inc., Jerusalem, Israel.
Association between resting-state connectivity patterns in the defensive system network and treatment response in spider phobia-a replication approach | Translational Psychiatry
Abstract Although highly effective on average, exposure-based treatments do not work equally well for all patients with anxiety disorders. The identification of pre-treatment response-predicting patient characteristics may enable patient stratification. Preliminary research highlights the relevance of inhibitory fronto-limbic networks as such.
A Systematic Evaluation of Machine Learning-Based Biomarkers for Major Depressive Disorder
Key Points Question Can multivariate machine learning approaches identify the neural signature of major depressive disorder in individual patients? Findings In this case-control neuroimaging study that included 1801 patients with depression and healthy controls, the best machine learning algorithm only achieved a diagnostic classification accuracy of 62% across major neuroimaging modalities.
Shared and distinct structural brain networks related to childhood maltreatment and social support: connectome-based predictive modeling - Molecular Psychiatry
Abstract Childhood maltreatment (CM) has been associated with changes in structural brain connectivity even in the absence of mental illness. Social support, an important protective factor in the presence of childhood maltreatment, has been positively linked to white matter integrity. However, the shared effects of current social support and CM and their association with structural connectivity remain to be investigated.
Cross-validation for the estimation of effect size generalizability in mass-univariate brain-wide association studies
Abstract Introduction: Statistical effect sizes are systematically overestimated in small samples, leading to poor generalizability and replicability of findings in all areas of research. Due to the large number of variables, this is particularly problematic in neuroimaging research. While cross-validation is frequently used in multivariate machine learning approaches to assess model generalizability and replicability, the benefits for mass-univariate brain analysis are yet unclear.
Structural Diversity of Photoswitchable Sphingolipids for Optodynamic Control of Lipid Microdomains
Sphingolipids are a structurally diverse class of lipids predominantly found in the plasma membrane of eukaryotic cells. These lipids can laterally segregate with other rigid lipids and cholesterol into liquid-ordered domains that act as organizing centers within biomembranes. Owing the vital role of sphingolipids for lipid segregation, controlling their lateral organization is of utmost significance.
A Systematic Evaluation of Machine Learning-based Biomarkers for Major Depressive Disorder across Modalities
Abstract Background Biological psychiatry aims to understand mental disorders in terms of altered neurobiological pathways. However, for one of the most prevalent and disabling mental disorders, Major Depressive Disorder (MDD), patients only marginally differ from healthy individuals on the group-level.
Genetic, individual, and familial risk correlates of brain network controllability in major depressive disorder - Molecular Psychiatry
Abstract Many therapeutic interventions in psychiatry can be viewed as attempts to influence the brain’s large-scale, dynamic network state transitions. Building on connectome-based graph analysis and control theory, Network Control Theory is emerging as a powerful tool to quantify network controllability—i.e., the influence of one brain region over others regarding dynamic network state transitions. If and how network controllability is related to mental health remains elusive.
Strain‐Release Driven Epoxidation and Aziridination of Bicyclo[1.1.0]butanes via Palladium Catalyzed σ‐Bond Nucleopalladation
Introduction Spirocyclic epoxides belonging to the class of 1-oxaspiro[2.3]hexanes 1 are highly versatile compounds for organic synthesis (Scheme 1A).1 Their intrinsic strain renders these structures prone to ring-expansion,2 which has been extensively exploited for the synthesis of cyclopentanones 2.3 An alternative application of these epoxides, which is becoming increasingly prominent, is the formation of hydroxy-substituted cyclobutanes 3 through ring-opening reactions with nucleophiles,...
Quantifying Deviations of Brain Structure and Function in Major Depressive Disorder
Quantifying Deviations of Brain Structure and Function in Major Depressive Disorder Across Neuroimaging Modalities | Depressive Disorders | JAMA Psychiatry | JAMA Network [Skip to Navigation] Figure 1. Research Design and Analytical Procedure Schematic representation of the research design and analytical procedure.
Enantioselective Total Synthesis of (−)‐Finerenone Using Asymmetric Transfer Hydrogenation
Communication Dr. Matthew N. Grayson Corresponding Author M.N.Grayson@bath.ac.uk Department of Chemistry, University of Bath, Claverton Down, Bath, BA2 7AY UK Search for more papers by this author PDF ShareShare Abstract (−)‐Finerenone is a nonsteroidal mineralocorticoid receptor antagonist currently in phase III clinical trials for the treatment of chronic kidney disease in type 2 diabetes. It contains an unusual dihydronaphthyridine core.
Predicting intelligence from brain gray matter volume
Abstract A positive association between brain size and intelligence is firmly established, but whether region-specific anatomical differences contribute to general intelligence remains an open question. Results from voxel-based morphometry (VBM) - one of the most widely used morphometric methods - have remained inconclusive so far.
Divergent, Stereospecific Mono‐ and Difluoromethylation of Boronic Esters
Communication Prof. Dr. Varinder K. Aggarwal Corresponding Author E-mail address: v.aggarwal@bristol.ac.uk http://orcid.org/0000-0003-0344-6430 School of Chemistry, University of Bristol, Cantock's Close, Bristol, BS8 1TS UK Search for more papers by this author Abstract There is considerable interest in incorporating fluorine into agrochemicals and pharmaceuticals to improve their biological properties.
Divergent, stereospecific mono‐ and difluoromethylation of boronic esters
Communication Varinder Kumar Aggarwal Corresponding Author E-mail address: V.Aggarwal@Bristol.ac.uk Bristol University, Department of Chemistry, Cantock's Close, BS8 1TS Bristol, UNITED KINGDOM Search for more papers by this author PDF PDF ShareShare Abstract There is considerable interest in incorporating fluorine in agrochemicals and pharmaceuticals to improve their biological properties.
Biomimetic Synthesis of (+)‐Aspergillin PZ
As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re‐organized for online delivery, but are not copy‐edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors.
Biomimetic Synthesis of (+)‐Aspergillin PZ
As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re‐organized for online delivery, but are not copy‐edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors.
Total Synthesis of the Norhasubanan Alkaloid Stephadiamine
(+)-Stephadiamine is an unusual alkaloid isolated from the vine Stephania japonica. It features a norhasubanan skeleton, and contains two adjacent α-tertiary amines, which renders it an attractive synthetic target. Here, we present the first total synthesis of stephadiamine, which hinges on an efficient cascade reaction to implement the aza[4.3.3]propellane core of the alkaloid. The α-aminolactone moiety in a highly hindered position was installed via Tollens reaction and Curtius rearrangement.
Optical Control of Dopamine Receptors Using a Photoswitchable Tethered Inverse Agonist
Family A G protein-coupled receptors (GPCRs) control diverse biological processes and are of great clinical relevance. Their archetype rhodopsin becomes naturally light sensitive by binding covalently to the photoswitchable tethered ligand (PTL) retinal. Other GPCRs, however, neither bind covalently to ligands nor are light sensitive.
Facial width-to-height ratio differs by social rank across organizations, countries, and value systems
Facial Width-to-Height Ratio (fWHR) has been linked with dominant and aggressive behavior in human males. We show here that on portrait photographs published online, chief executive officers (CEOs) of companies listed in the Dow Jones stock market index and the Deutscher Aktienindex have a higher-than-normal fWHR, which also correlates positively with their company’s donations to charitable causes and environmental awareness.
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