Literature DB >> 25066827

Are we really mapping psychosis risk? Neuroanatomical signature of affective disorders in subjects at ultra high risk.

G Modinos1, P Allen1, M Frascarelli1, S Tognin1, L Valmaggia1, L Xenaki1, P Keedwell2, M Broome3, I Valli1, J Woolley1, J M Stone1, A Mechelli1, M L Phillips4, P McGuire1, P Fusar-Poli1.   

Abstract

BACKGROUND: The majority of people at ultra high risk (UHR) of psychosis also present with co-morbid affective disorders such as depression or anxiety. The neuroanatomical and clinical impact of UHR co-morbidity is unknown.
METHOD: We investigated group differences in grey matter volume using baseline magnetic resonance images from 121 participants in four groups: UHR with depressive or anxiety co-morbidity; UHR alone; major depressive disorder; and healthy controls. The impact of grey matter volume on baseline and longitudinal clinical/functional data was assessed with regression analyses.
RESULTS: The UHR-co-morbidity group had lower grey matter volume in the anterior cingulate cortex than the UHR-alone group, with an intermediate effect between controls and patients with major depressive disorder. In the UHR-co-morbidity group, baseline anterior cingulate volume was negatively correlated with baseline suicidality/self-harm and obsessive-compulsive disorder symptoms.
CONCLUSIONS: Co-morbid depression and anxiety disorders contributed distinctive grey matter volume reductions of the anterior cingulate cortex in people at UHR of psychosis. These volumetric deficits were correlated with baseline measures of depression and anxiety, suggesting that co-morbid depressive and anxiety diagnoses should be carefully considered in future clinical and imaging studies of the psychosis high-risk state.

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Year:  2014        PMID: 25066827     DOI: 10.1017/S0033291714000865

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  16 in total

1.  Specificity of Incident Diagnostic Outcomes in Patients at Clinical High Risk for Psychosis.

Authors:  Jadon R Webb; Jean Addington; Diana O Perkins; Carrie E Bearden; Kristin S Cadenhead; Tyrone D Cannon; Barbara A Cornblatt; Robert K Heinssen; Larry J Seidman; Sarah I Tarbox; Ming T Tsuang; Elaine F Walker; Thomas H McGlashan; Scott W Woods
Journal:  Schizophr Bull       Date:  2015-09       Impact factor: 9.306

2.  Lack of Evidence for Regional Brain Volume or Cortical Thickness Abnormalities in Youths at Clinical High Risk for Psychosis: Findings From the Longitudinal Youth at Risk Study.

Authors:  Paul Klauser; Juan Zhou; Joseph K W Lim; Joann S Poh; Hui Zheng; Han Ying Tng; Ranga Krishnan; Jimmy Lee; Richard S E Keefe; R Alison Adcock; Stephen J Wood; Alex Fornito; Michael W L Chee
Journal:  Schizophr Bull       Date:  2015-03-04       Impact factor: 9.306

3.  Age at First Episode Modulates Diagnosis-Related Structural Brain Abnormalities in Psychosis.

Authors:  Laura Pina-Camacho; Ángel Del Rey-Mejías; Joost Janssen; Miquel Bioque; Ana González-Pinto; Celso Arango; Antonio Lobo; Salvador Sarró; Manuel Desco; Julio Sanjuan; Maria Lacalle-Aurioles; Manuel J Cuesta; Jerónimo Saiz-Ruiz; Miguel Bernardo; Mara Parellada
Journal:  Schizophr Bull       Date:  2015-09-14       Impact factor: 9.306

4.  Latent Profile Analysis and Conversion to Psychosis: Characterizing Subgroups to Enhance Risk Prediction.

Authors:  Kristin M Healey; David L Penn; Diana Perkins; Scott W Woods; Richard S E Keefe; Jean Addington
Journal:  Schizophr Bull       Date:  2018-02-15       Impact factor: 9.306

5.  Lack of Diagnostic Pluripotentiality in Patients at Clinical High Risk for Psychosis: Specificity of Comorbidity Persistence and Search for Pluripotential Subgroups.

Authors:  Scott W Woods; Albert R Powers; Jerome H Taylor; Charlie A Davidson; Jason K Johannesen; Jean Addington; Diana O Perkins; Carrie E Bearden; Kristin S Cadenhead; Tyrone D Cannon; Barbara A Cornblatt; Larry J Seidman; Ming T Tsuang; Elaine F Walker; Thomas H McGlashan
Journal:  Schizophr Bull       Date:  2018-02-15       Impact factor: 9.306

6.  Resting-State Networks of Adolescents Experiencing Depersonalization-Like Illusions: Cross-sectional and Longitudinal Findings.

Authors:  Mélodie Derome; Eduardo Fonseca-Pedrero; Deborah Badoud; Larisa Morosan; Dimitri Van De Ville; François Lazeyras; Stephan Eliez; Raymond Chan; David Rudrauf; Sophie Schwartz; Martin Debbane
Journal:  Schizophr Bull       Date:  2018-10-15       Impact factor: 9.306

7.  Neural correlates of aberrant emotional salience predict psychotic symptoms and global functioning in high-risk and first-episode psychosis.

Authors:  Gemma Modinos; Huai-Hsuan Tseng; Irina Falkenberg; Carly Samson; Philip McGuire; Paul Allen
Journal:  Soc Cogn Affect Neurosci       Date:  2015-03-25       Impact factor: 3.436

8.  Hippocampal volume correlates with attenuated negative psychotic symptoms irrespective of antidepressant medication.

Authors:  Raffaele Bernasconi; Renata Smieskova; André Schmidt; Fabienne Harrisberger; Nora Maria Raschle; Claudia Lenz; Anna Walter; Andor Simon; Anita Riecher-Rössler; Ernst-Wilhelm Radue; Undine E Lang; Paolo Fusar-Poli; Stefan J Borgwardt
Journal:  Neuroimage Clin       Date:  2015-04-29       Impact factor: 4.881

Review 9.  Approaching a network connectivity-driven classification of the psychosis continuum: a selective review and suggestions for future research.

Authors:  André Schmidt; Vaibhav A Diwadkar; Renata Smieskova; Fabienne Harrisberger; Undine E Lang; Philip McGuire; Paolo Fusar-Poli; Stefan Borgwardt
Journal:  Front Hum Neurosci       Date:  2015-01-13       Impact factor: 3.169

10.  Computerized Assessment of Psychosis Risk.

Authors:  Vijay A Mittal; Lauren M Ellman; Gregory P Strauss; Elaine F Walker; Philip R Corlett; Jason Schiffman; Scott W Woods; Albert R Powers; Steven M Silverstein; James A Waltz; Richard Zinbarg; Shuo Chen; Trevor Williams; Joshua Kenney; James M Gold
Journal:  J Psychiatr Brain Sci       Date:  2021-06-29
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