A shared neural basis underlying psychiatric comorbidity.

Funder: National Key R and D Program of China(2019YFA0709501,2018YFC1312900) The Shanghai Pujiang Project(18PJ1400900)Funder: Medical Research Foundation and Medical Research Council (grants MR/R00465X/1 and MR/S020306/1); NIH Consortium grant U54 EB020403; the cross-NIH alliance that funds Big Data to Knowledge Centres of Excellence (ENIGMA, Grant Nos. 5U54EB020403-05 and 1R56AG058854-01Funder: the Eranet Neuron (AF12-NEUR0008-01 – WM2NA; and ANR-18-NEUR00002-01 – ADORe);Paris Sud University IDEX 2012;Fédération pour la Recherche sur le Cerveau;Funder: Assistance Publique - Hôpitaux de Paris (Assistance Publique Hôpitaux de Paris); doi: https://doi.org/10.13039/501100002738Funder: Fondation de l'Avenir pour la Recherche Médicale Appliquée (Fondation de l'Avenir); doi: https://doi.org/10.13039/100007380Funder: the ANR (ANR-12-SAMA-0004); INSERM (interface grant)Funder: DH | National Institute for Health Research (NIHR); doi: https://doi.org/10.13039/501100000272Funder: South London and Maudsley NHS Foundation Trust; doi: https://doi.org/10.13039/100009362Funder: the European Union-funded FP6 Integrated Project IMAGEN (Reinforcement-related behavior in normal brain function and psychopathology) (LSHM-CT- 2007-037286);the Horizon 2020-funded ERC Advanced Grant' STRATIFY' (Brain network based stratification of reinforcement-related disorders) (695313);ERANID (Understanding the Interplay between Cultural, Biological and Subjective Factors in Drug Use Pathways) (PR-ST-0416-10004);Human Brain Project (HBP SGA 2, 785907, and HBP SGA 3, 945539);the Medical Research Council Grant' c-VEDA' (Consortium on Vulnerability to Externalising Disorders and Addictions) (MR/N000390/1) ;Forschungsnetz AERIAL 01EE1406A, 01EE1406B)Funder: Guangdong Key Research and Development Project(No. 2018B030335001);the 111 Project (B18015);the key project of Shanghai Science and Technology (16JC1420402);Recent studies proposed a general psychopathology factor underlying common comorbidities among psychiatric disorders. However, its neurobiological mechanisms and generalizability remain elusive. In this study, we used a large longitudinal neuroimaging cohort from adolescence to young adulthood (IMAGEN) to define a neuropsychopathological (NP) factor across externalizing and internalizing symptoms using multitask connectomes. We demonstrate that this NP factor might represent a unified, genetically determined, delayed development of the prefrontal cortex that further leads to poor executive function. We also show this NP factor to be reproducible in multiple developmental periods, from preadolescence to early adulthood, and generalizable to the resting-state connectome and clinical samples (the ADHD-200 Sample and the Stratify Project). In conclusion, we identify a reproducible and general neural basis underlying symptoms of multiple mental health disorders, bridging multidimensional evidence from behavioral, neuroimaging and genetic substrates. These findings may help to develop new therapeutic interventions for psychiatric comorbidities

Author Correction: A shared neural basis underlying psychiatric comorbidity.

Funder: National Key R and D Program of China(2019YFA0709501,2018YFC1312900) The Shanghai Pujiang Project(18PJ1400900)Funder: Medical Research Foundation and Medical Research Council (grants MR/R00465X/1 and MR/S020306/1); NIH Consortium grant U54 EB020403; the cross-NIH alliance thatfunds Big Data to Knowledge Centres of Excellence (ENIGMA, GrantNos. 5U54EB020403-05 and 1R56AG058854-01Funder: the Eranet Neuron (AF12-NEUR0008-01 – WM2NA ; and ANR-18-NEUR00002-01 – ADORe);Paris Sud University IDEX 2012;Fédération pour la Recherche sur le Cerveau;Funder: Assistance Publique - Hôpitaux de Paris (Assistance Publique Hôpitaux de Paris); doi: https://doi.org/10.13039/501100002738Funder: Fondation de l'Avenir pour la Recherche Médicale Appliquée (Fondation de l'Avenir); doi: https://doi.org/10.13039/100007380Funder: the ANR (ANR-12-SAMA-0004）；INSERM (interface grant)Funder: DH | National Institute for Health Research (NIHR); doi: https://doi.org/10.13039/501100000272Funder: South London and Maudsley NHS Foundation Trust; doi: https://doi.org/10.13039/100009362Funder: the European Union-funded FP6 Integrated Project IMAGEN (Reinforcement-related behavior in normal brain function and psychopathology) (LSHM-CT- 2007-037286);the Horizon 2020-funded ERC Advanced Grant' STRATIFY' (Brain network based stratification of reinforcement-related disorders) (695313);ERANID (Understanding the Interplay between Cultural, Biological and Subjective Factors in Drug Use Pathways) (PR-ST-0416-10004);Human Brain Project (HBP SGA 2, 785907, and HBP SGA 3, 945539);the Medical Research Council Grant' c-VEDA' (Consortium on Vulnerability to Externalising Disorders and Addictions) (MR/N000390/1) ;Forschungsnetz AERIAL 01EE1406A, 01EE1406B)Funder: Guangdong Key Research and Development Project(No. 2018B030335001);the 111 Project (B18015);the key project of Shanghai Science and Technology (16JC1420402)

Author Correction: A shared neural basis underlying psychiatric comorbidity

Correction to: Nature Medicine. Published online 24 April 2023. In the version of this article initially published, the STRATIFY data also included cohort data from the ESTRA consortium, though this was not acknowledged in the author list and the section in Methods on the Stratify dataset. The Methods are now updated, and the author list is amended to combine the STRATIFY and ESTRA consortium names and to include the following authors: Marina Bobou, M. John Broulidakis, Betteke Maria van Noort, Zuo Zhang, Lauren Robinson, Nilakshi Vaidya, Jeanne Winterer, Yuning Zhang, Sinead King, Hervé Lemaître, Ulrike Schmidt, Julia Sinclair, Argyris Stringaris and Sylvane Desrivières. The STRATIFY and ESTRA consortia are now combined to list Marina Bobou, M. John Broulidakis, Betteke Maria van Noort, Zuo Zhang, Lauren Robinson, Nilakshi Vaidya, Jeanne Winterer, Yuning Zhang, Sinead King, Gareth J. Barker, Arun L. W. Bokde, Hervé Lemaître, Frauke Nees, Dimitri Papadopoulos Orfanos, Ulrike Schmidt, Julia Sinclair, Argyris Stringaris, Henrik Walter, Robert Whelan, Sylvane Desrivières and Gunter Schumann as members, and the IMAGEN consortium is updated to also include Sylvane Desrivières. Affiliations, author contributions and acknowledgements have been updated to reflect the new authorship, and all changes have been made in the HTML and PDF versions of the article

Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm

Abstract Machine learning can be used to define subtypes of psychiatric conditions based on shared biological foundations of mental disorders. Here we analyzed cross-sectional brain images from 4,222 individuals with schizophrenia and 7038 healthy subjects pooled across 41 international cohorts from the ENIGMA, non-ENIGMA cohorts and public datasets. Using the Subtype and Stage Inference (SuStaIn) algorithm, we identify two distinct neurostructural subgroups by mapping the spatial and temporal ‘trajectory’ of gray matter change in schizophrenia. Subgroup 1 was characterized by an early cortical-predominant loss with enlarged striatum, whereas subgroup 2 displayed an early subcortical-predominant loss in the hippocampus, striatum and other subcortical regions. We confirmed the reproducibility of the two neurostructural subtypes across various sample sites, including Europe, North America and East Asia. This imaging-based taxonomy holds the potential to identify individuals with shared neurobiological attributes, thereby suggesting the viability of redefining existing disorder constructs based on biological factors