Chen J, Benedyk A, Moldavski A, Tost H, Meyer-Lindenberg A, Braun U, Durstewitz D, Koppe G, Schwarz E. Quantifying brain-functional dynamics using deep dynamical systems: Technical considerations. iScience. 2024 27(8):110545.
Dong MS, Rokicki J, Dwyer D, Papiol S, Streit F, Rietschel M, Wobrock T, Müller-Myhsok B, Falkai P, Westlye LT, Andreassen OA, Palaniyappan L, Schneider-Axmann T, Hasan A, Schwarz E, Koutsouleris N. Multimodal workflows optimally predict response to repetitive transcranial magnetic stimulation in patients with schizophrenia: a multisite machine learning analysis. Transl Psychiatry. 2024 14(1):196.
Fritze S, Brandt GA, Volkmer S, Daub J, Krayem M, Kukovic J, Schwarz E, Braun U, Northoff G, Wolf RC, Kubera KM, Meyer-Lindenberg A, Hirjak D. Deciphering the interplay between psychopathological symptoms, sensorimotor, cognitive and global functioning: a transdiagnostic network analysis. Eur Arch Psychiatry Clin Neurosci. 2024 274(7):1625-1637. Epub 2024 Mar 20.
García-Marín LM, Campos AI, Diaz-Torres S, Rabinowitz JA, Ceja Z, Mitchell BL, Grasby KL, Thorp JG, Agartz I, Alhusaini S, Ames D, Amouyel P, Andreassen OA, Arfanakis K, Arias Vasquez A, Armstrong NJ, Athanasiu L, Bastin ME, Beiser AS, Bennett DA, Bis JC, Boks MP, Boomsma DI, Brodaty H, Brouwer RM, Buitelaar JK, Burkhardt R, Cahn W, Calhoun VD, Carmichael OT, Chakravarty M, Chen Q, Ching CR, Cichon S, Crespo-Facorro B, Crivello F, Dale AM, Davey Smith G, de Geus EJ, De Jager PL, de Zubicaray GI, Debette S, Decarli C, Depondt C, Desrivieres S, Djurovic S, Ehrlich S, Erk S, Espeseth T, Fernández G, Filippi I, Fisher SE, Fleischman DA, Fletcher E, Fornage M, Forstner AJ, Francks C, Franke B, Ge T, Goldman AL, Grabe HJ, Green RC, Grimm O, Groenewold NA, Gruber O, Gudnason V, Håberg AK, Haukvik UK, Heinz A, Hibar DP, Hilal S, Himali JJ, Ho BC, Hoehn DF, Hoekstra PJ, Hofer E, Hoffmann W, Holmes AJ, Homuth G, Hosten N, Ikram MK, Ipser JC, Jack CR, Jahanshad N, Jönsson EG, Kahn RS, Kanai R, Klein M, Knol MJ, Launer LJ, Lawrie SM, Le Hellard S, Lee PH, Lemaitre H, Li S, Liewald DC, Lin H, Longstreth WT, Lopez OL, Luciano M, Maillard P, Marquand AF, Martin NG, Martinot JL, Mather KA, Mattay VS, McMahon KL, Mecocci P, Melle I, Meyer-Lindenberg A, Mirza-Schreiber N, Milaneschi Y, Mosley TH, Mühleisen TW, Müller-Myhsok B, Muñoz Maniega S, Nauck M, Nho K, Niessen WJ, Nöthen MM, Nyquist PA, Oosterlaan J, Pandolfo M, Paus T, Pausova Z, Penninx BW, Pike GB, Psaty BM, Pütz B, Reppermund S, Rietschel MD, Risacher SL, Romanczuk-Seiferth N, Romero-Garcia R, Roshchupkin GV, Rotter JI, Sachdev PS, Sämann PG, Saremi A, Sargurupremraj M, Saykin AJ, Schmaal L, Schmidt H, Schmidt R, Schofield PR, Scholz M, Schumann G, Schwarz E, Shen L, Shin J, Sisodiya SM, Smith AV, Smoller JW, Soininen HS, Steen VM, Stein DJ, Stein JL, Thomopoulos SI, Toga AW, Tordesillas-Gutierrez D, Trollor JN, Valdes-Hernandez MC, van 't Ent D, van Bokhoven H, van der Meer D, van der Wee NJ, Vázquez-Bourgon J, Veltman DJ, Vernooij MW, Villringer A, Vinke LN, Völzke H, Walter H, Wardlaw JM, Weinberger DR, Weiner MW, Wen W, Westlye LT, Westman E, White T, Witte AV, Wolf C, Yang J, Zwiers MP, Ikram MA, Seshadri S, Thompson PM, Satizabal CL, Medland SE, Rentería ME. Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries. medRxiv. 2024
García-Marín LM, Campos AI, Diaz-Torres S, Rabinowitz JA, Ceja Z, Mitchell BL, Grasby KL, Thorp JG, Agartz I, Alhusaini S, Ames D, Amouyel P, Andreassen OA, Arfanakis K, Arias-Vásquez A, Armstrong NJ, Athanasiu L, Bastin ME, Beiser AS, Bennett DA, Bis JC, Boks MPM, Boomsma DI, Brodaty H, Brouwer RM, Buitelaar JK, Burkhardt R, Cahn W, Calhoun VD, Carmichael OT, Chakravarty M, Chen Q, Ching CR, Cichon S, Crespo-Facorro B, Crivello F, Dale AM, Smith GD, de Geus EJC, De Jager PL, de Zubicaray GI, Debette S, Decarli C, Depondt C, Desrivieres S, Djurovic S, Ehrlich S, Erk S, Espeseth T, Fernández G, Filippi I, Fisher SE, Fleischman DA, Fletcher E, Fornage M, Forstner AJ, Francks C, Franke B, Ge T, Goldman AL, Grabe HJ, Green RC, Grimm O, Groenewold NA, Gruber O, Gudnason V, Håberg AK, Haukvik UK, Heinz A, Hibar DP, Hilal S, Himali JJ, Ho BC, Hoehn DF, Hoekstra PJ, Hofer E, Hoffmann W, Holmes AJ, Homuth G, Hosten N, Ikram MK, Ipser JC, Jack CR, Jahanshad N, Jönsson EG, Kahn RS, Kanai R, Klein M, Knol MJ, Launer LJ, Lawrie SM, Hellard SL, Lee PH, Lemaitre H, Li S, Liewald DC, Lin H, Longstreth WT, Lopez OL, Luciano M, Maillard P, Marquand AF, Martin NG, Martinot JL, Mather KA, Mattay VS, McMahon KL, Mecocci P, Melle I, Meyer-Lindenberg A, Mirza-Schreiber N, Milaneschi Y, Mosley TH, Mühleisen TW, Müller-Myhsok B, Maniega SM, Nauck M, Nho K, Niessen WJ, Nöthen MM, Nyquist PA, Oosterlaan J, Pandolfo M, Paus T, Pausova Z, Penninx BWJH, Pike GB, Psaty BM, Pütz B, Reppermund S, Rietschel MD, Risacher SL, Romanczuk-Seiferth N, Romero-Garcia R, Roshchupkin GV, Rotter JI, Sachdev PS, Sämann PG, Saremi A, Sargurupremraj M, Saykin AJ, Schmaal L, Schmidt H, Schmidt R, Schofield PR, Scholz M, Schumann G, Schwarz E, Shen L, Shin J, Sisodiya SM, Smith AV, Smoller JW, Soininen HS, Steen VM, Stein DJ, Stein JL, Thomopoulos SI, Toga AW, Tordesillas-Gutierrez D, Trollor JN, Valdes-Hernandez MC, Van T Ent D, van Bokhoven H, van der Meer D, van der Wee NJ, Vázquez-Bourgon J, Veltman DJ, Vernooij MW, Villringer A, Vinke LN, Völzke H, Walter H, Wardlaw JM, Weinberger DR, Weiner MW, Wen W, Westlye LT, Westman E, White T, Witte AV, Wolf C, Yang J, Zwiers MP, Ikram MA, Seshadri S, Thompson PM, Satizabal CL, Medland SE, Rentería ME. Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries. Nat Genet. 2024 56(11):2333-2344. Epub 2024 Oct 21.
Koutsouleris N, Khuntia AT, Popovic D, Sarisik E, Buciuman MO, Pedersen ML, Westlye LT, Andreassen O, Meyer-Lindenberg A, Kambeitz J, Salokangas R, Hietala J, Bertolino A, Borgwardt S, Brambilla P, Upthegrove R, Wood S, Lencer R, Meisenzahl E, Falkai P, Schwarz E, Wiegand A. BMIgap: a new tool to quantify transdiagnostic brain signatures of current and future weight. Res Sq. 2024
Kremer TL, Chen J, Buhl A, Berhe O, Bilek E, Geiger-Primo L, Ma R, Mößnang C, Reichert M, Reinhard I, Schwarz K, Schweiger J, Streit F, Witt SH, Zang Z, Zhang X, Noethen MM, Rietschel M, Ebner-Priemer UW, Schwarz E, Meyer-Lindenberg A, Braun U, Tost H. Multimodal Associations of FKBP5 Methylation with Emotion-Regulatory Brain Circuits. Biol Psychiatry. 2024 96(11):858-867. Epub 2024 Mar 7.
Neidhart M, Kjelkenes R, Jansone K, Rehak Buckova B, Holz N, Nees F, Walter H, Schumann G, Rapp MA, Banaschewski T, Schwarz, Prof. Ph.D E, Marquand A, on behalf of the environMENTAL consortium .. A protocol for data harmonization in large cohorts. Nat Ment Health. 2024 2:1134-1138.
Quinn TP, Hess JL, Marshe VS, Barnett MM, Hauschild AC, Maciukiewicz M, Elsheikh SSM, Men X, Schwarz E, Trakadis YJ, Breen MS, Barnett EJ, Zhang-James Y, Ahsen ME, Cao H, Chen J, Hou J, Salekin A, Lin PI, Nicodemus KK, Meyer-Lindenberg A, Bichindaritz I, Faraone SV, Cairns MJ, Pandey G, Müller DJ, Glatt SJ, Machine Learning in Psychiatry (MLPsych) Consortium . A primer on the use of machine learning to distil knowledge from data in biological psychiatry. Mol Psychiatry. 2024 29(2):387-401. Epub 2024 Jan 4.
Rajan S, Schwarz E. Network-based artificial intelligence approaches for advancing personalized psychiatry. Am J Med Genet B Neuropsychiatr Genet. 2024 195(8):e32997. Epub 2024 Jun 21.
Spanagel R, Bach P, Banaschewski T, Beck A, Bermpohl F, Bernardi RE, Beste C, Deserno L, Durstewitz D, Ebner-Priemer U, Endrass T, Ersche KD, Feld G, Gerchen M, Gerlach B, Goschke T, Hansson AC, Heim C, Kiebel S, Kiefer F, Kirsch P, Kirschbaum C, Koppe G, Lenz B, Liu S, Marxen M, Meinhardt MW, Meyer-Lindenberg A, Montag C, Müller CP, Nagel WE, Oliveria AMM, Owald D, Pilhatsch M, Priller J, Rapp MA, Reichert M, Ripke S, Ritter K, Romanczuk-Seiferth N, Schlagenhauf F, Schwarz E, Schwöbel S, Smolka MN, Soekadar SR, Sommer WH, Stock AK, Ströhle A, Tost H, Vollstädt-Klein S, Walter H, Waschke T, Witt SH, Heinz A, Other members of the ReCoDe Consortium . The ReCoDe addiction research consortium: Losing and regaining control over drug intake-Findings and future perspectives. Addict Biol. 2024 29(7):e13419.
Volkmer S, Meyer-Lindenberg A, Schwarz E. Large language models in psychiatry: Opportunities and challenges. Psychiatry Res. 2024 339:116026. Epub 2024 Jun 11.
Zhang S, Li P, Wang S, Zhu J, Huang Z, Cai F, Freidel S, Ling F, Schwarz E, Chen J. BioM2: biologically informed multi-stage machine learning for phenotype prediction using omics data. Brief Bioinform. 2024 25(5)