Literature DB >> 35583903

Clinical, Brain, and Multilevel Clustering in Early Psychosis and Affective Stages.

Dominic B Dwyer1,2, Madalina-Octavia Buciuman1,3, Anne Ruef1, Joseph Kambeitz4, Mark Sen Dong1, Caedyn Stinson5,6, Lana Kambeitz-Ilankovic1,4, Franziska Degenhardt7,8, Rachele Sanfelici1,9, Linda A Antonucci10, Paris Alexandros Lalousis11, Julian Wenzel4, Maria Fernanda Urquijo-Castro1, David Popovic1,3, Oemer Faruk Oeztuerk1,3, Shalaila S Haas12, Johanna Weiske1, Daniel Hauke13,14,15, Susanne Neufang16, Christian Schmidt-Kraepelin16, Stephan Ruhrmann4, Nora Penzel4, Theresa Lichtenstein4, Marlene Rosen4, Katharine Chisholm11,17, Anita Riecher-Rössler18, Laura Egloff13, André Schmidt13, Christina Andreou13, Jarmo Hietala19, Timo Schirmer20, Georg Romer21, Chantal Michel22, Wulf Rössler23, Carlo Maj24, Oleg Borisov24, Peter M Krawitz24, Peter Falkai1,9, Christos Pantelis25, Rebekka Lencer26,27, Alessandro Bertolino28, Stefan Borgwardt13,27, Markus Noethen7, Paolo Brambilla29,30, Frauke Schultze-Lutter16,22,31, Eva Meisenzahl32, Stephen J Wood2,33, Christos Davatzikos34,35, Rachel Upthegrove11,14, Raimo K R Salokangas19, Nikolaos Koutsouleris1,9,36.   

Abstract

Importance: Approaches are needed to stratify individuals in early psychosis stages beyond positive symptom severity to investigate specificity related to affective and normative variation and to validate solutions with premorbid, longitudinal, and genetic risk measures. Objective: To use machine learning techniques to cluster, compare, and combine subgroup solutions using clinical and brain structural imaging data from early psychosis and depression stages. Design, Setting, and Participants: A multisite, naturalistic, longitudinal cohort study (10 sites in 5 European countries; including major follow-up intervals at 9 and 18 months) with a referred patient sample of those with clinical high risk for psychosis (CHR-P), recent-onset psychosis (ROP), recent-onset depression (ROD), and healthy controls were recruited between February 1, 2014, to July 1, 2019. Data were analyzed between January 2020 and January 2022. Main Outcomes and Measures: A nonnegative matrix factorization technique separately decomposed clinical (287 variables) and parcellated brain structural volume (204 gray, white, and cerebrospinal fluid regions) data across CHR-P, ROP, ROD, and healthy controls study groups. Stability criteria determined cluster number using nested cross-validation. Validation targets were compared across subgroup solutions (premorbid, longitudinal, and schizophrenia polygenic risk scores). Multiclass supervised machine learning produced a transferable solution to the validation sample.
Results: There were a total of 749 individuals in the discovery group and 610 individuals in the validation group. Individuals included those with CHR-P (n = 287), ROP (n = 323), ROD (n = 285), and healthy controls (n = 464), The mean (SD) age was 25.1 (5.9) years, and 702 (51.7%) were female. A clinical 4-dimensional solution separated individuals based on positive symptoms, negative symptoms, depression, and functioning, demonstrating associations with all validation targets. Brain clustering revealed a subgroup with distributed brain volume reductions associated with negative symptoms, reduced performance IQ, and increased schizophrenia polygenic risk scores. Multilevel results distinguished between normative and illness-related brain differences. Subgroup results were largely validated in the external sample. Conclusions and Relevance: The results of this longitudinal cohort study provide stratifications beyond the expression of positive symptoms that cut across illness stages and diagnoses. Clinical results suggest the importance of negative symptoms, depression, and functioning. Brain results suggest substantial overlap across illness stages and normative variation, which may highlight a vulnerability signature independent from specific presentations. Premorbid, longitudinal, and genetic risk validation suggested clinical importance of the subgroups to preventive treatments.

Entities:  

Mesh:

Year:  2022        PMID: 35583903      PMCID: PMC9118078          DOI: 10.1001/jamapsychiatry.2022.1163

Source DB:  PubMed          Journal:  JAMA Psychiatry        ISSN: 2168-622X            Impact factor:   25.911


  75 in total

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2.  Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas.

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3.  Distinct Patterns of Cerebral Cortical Thinning in Schizophrenia: A Neuroimaging Data-Driven Approach.

Authors:  Genichi Sugihara; Naoya Oishi; Shuraku Son; Manabu Kubota; Hidehiko Takahashi; Toshiya Murai
Journal:  Schizophr Bull       Date:  2017-07-01       Impact factor: 9.306

4.  Polygenic Risk Scores, School Achievement, and Risk for Schizophrenia: A Danish Population-Based Study.

Authors:  Holger J Sørensen; Jean-Christophe Debost; Esben Agerbo; Michael E Benros; John J McGrath; Preben Bo Mortensen; Anne Ranning; Carsten Hjorthøj; Ole Mors; Merete Nordentoft; Liselotte Petersen
Journal:  Biol Psychiatry       Date:  2018-05-03       Impact factor: 13.382

5.  Resting-state connectivity biomarkers define neurophysiological subtypes of depression.

Authors:  Andrew T Drysdale; Logan Grosenick; Jonathan Downar; Katharine Dunlop; Farrokh Mansouri; Yue Meng; Robert N Fetcho; Benjamin Zebley; Desmond J Oathes; Amit Etkin; Alan F Schatzberg; Keith Sudheimer; Jennifer Keller; Helen S Mayberg; Faith M Gunning; George S Alexopoulos; Michael D Fox; Alvaro Pascual-Leone; Henning U Voss; B J Casey; Marc J Dubin; Conor Liston
Journal:  Nat Med       Date:  2016-12-05       Impact factor: 53.440

6.  Quality of life in first episode psychosis: a cluster analytic approach.

Authors:  Z Liao; K Allott; J F I Anderson; E Killackey; S M Cotton
Journal:  Qual Life Res       Date:  2021-10-18       Impact factor: 4.147

7.  Brain structure in people at ultra-high risk of psychosis, patients with first-episode schizophrenia, and healthy controls: a VBM study.

Authors:  Igor Nenadic; Maren Dietzek; Nils Schönfeld; Carsten Lorenz; Alexander Gussew; Jürgen R Reichenbach; Heinrich Sauer; Christian Gaser; Stefan Smesny
Journal:  Schizophr Res       Date:  2014-12-12       Impact factor: 4.939

8.  Stratification and prediction of remission in first-episode psychosis patients: the OPTiMiSE cohort study.

Authors:  Emanuela Martinuzzi; Susana Barbosa; Douglas Daoudlarian; Wafa Bel Haj Ali; Cyprien Gilet; Lionel Fillatre; Olfa Khalfallah; Réjane Troudet; Stéphane Jamain; Guillaume Fond; Iris Sommer; Stefan Leucht; Paola Dazzan; Philip McGuire; Celso Arango; Covadonga M Diaz-Caneja; Wolfgang Fleischhacker; Dan Rujescu; Birte Glenthøj; Inge Winter; René Sylvain Kahn; Robert Yolken; Shon Lewis; Richard Drake; Laetitia Davidovic; Marion Leboyer; Nicolas Glaichenhaus
Journal:  Transl Psychiatry       Date:  2019-01-17       Impact factor: 7.989

9.  Common brain disorders are associated with heritable patterns of apparent aging of the brain.

Authors:  Tobias Kaufmann; Dennis van der Meer; Nhat Trung Doan; Emanuel Schwarz; Martina J Lund; Ingrid Agartz; Dag Alnæs; Deanna M Barch; Ramona Baur-Streubel; Alessandro Bertolino; Francesco Bettella; Mona K Beyer; Erlend Bøen; Stefan Borgwardt; Christine L Brandt; Jan Buitelaar; Elisabeth G Celius; Simon Cervenka; Annette Conzelmann; Aldo Córdova-Palomera; Anders M Dale; Dominique J F de Quervain; Pasquale Di Carlo; Srdjan Djurovic; Erlend S Dørum; Sarah Eisenacher; Torbjørn Elvsåshagen; Thomas Espeseth; Helena Fatouros-Bergman; Lena Flyckt; Barbara Franke; Oleksandr Frei; Beathe Haatveit; Asta K Håberg; Hanne F Harbo; Catharina A Hartman; Dirk Heslenfeld; Pieter J Hoekstra; Einar A Høgestøl; Terry L Jernigan; Rune Jonassen; Erik G Jönsson; Peter Kirsch; Iwona Kłoszewska; Knut K Kolskår; Nils Inge Landrø; Stephanie Le Hellard; Klaus-Peter Lesch; Simon Lovestone; Arvid Lundervold; Astri J Lundervold; Luigi A Maglanoc; Ulrik F Malt; Patrizia Mecocci; Ingrid Melle; Andreas Meyer-Lindenberg; Torgeir Moberget; Linn B Norbom; Jan Egil Nordvik; Lars Nyberg; Jaap Oosterlaan; Marco Papalino; Andreas Papassotiropoulos; Paul Pauli; Giulio Pergola; Karin Persson; Geneviève Richard; Jaroslav Rokicki; Anne-Marthe Sanders; Geir Selbæk; Alexey A Shadrin; Olav B Smeland; Hilkka Soininen; Piotr Sowa; Vidar M Steen; Magda Tsolaki; Kristine M Ulrichsen; Bruno Vellas; Lei Wang; Eric Westman; Georg C Ziegler; Mathias Zink; Ole A Andreassen; Lars T Westlye
Journal:  Nat Neurosci       Date:  2019-09-24       Impact factor: 24.884

10.  Comprehensive molecular characterization of gastric adenocarcinoma.

Authors: 
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Review 1.  Hippocampal circuit dysfunction in psychosis.

Authors:  Samuel Knight; Robert McCutcheon; Daniella Dwir; Anthony A Grace; Owen O'Daly; Philip McGuire; Gemma Modinos
Journal:  Transl Psychiatry       Date:  2022-08-25       Impact factor: 7.989

  1 in total

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