Literature DB >> 24185241

Gray matter volume as an intermediate phenotype for psychosis: Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP).

Elena I Ivleva, Anup S Bidesi, Matcheri S Keshavan, Godfrey D Pearlson, Shashwath A Meda, Darko Dodig, Amanda F Moates, Hanzhang Lu, Alan N Francis, Neeraj Tandon, David J Schretlen, John A Sweeney, Brett A Clementz, Carol A Tamminga.   

Abstract

OBJECTIVE: The study examined gray matter volume across psychosis diagnoses organized by dimensional and DSM-IV categories from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) sample.
METHOD: In total, 351 probands with psychosis (146 with schizophrenia, 90 with schizoaffective disorder, and 115 with psychotic bipolar I disorder), 369 of their first-degree relatives (134 were relatives of individuals with schizophrenia, 106 of individuals with schizoaffective disorder, and 129 of individuals with psychotic bipolar I disorder), and 200 healthy comparison subjects were assessed. Gray matter volumes from 3-T T1-weighted images were analyzed using the VBM8 toolbox for SPM8, and outcomes were determined at a false discovery rate-corrected threshold of p<0.005.
RESULTS: Across the psychosis dimension, probands (N=351) and relatives with psychosis spectrum disorders (N=34) showed substantial overlapping gray matter reductions throughout the neocortex, whereas relatives without psychosis spectrum (N=332) had normal gray matter volumes relative to comparison subjects. Across DSM-IV diagnoses, schizophrenia and schizoaffective probands showed overlapping gray matter reductions in numerous cortical and subcortical regions, whereas psychotic bipolar probands showed limited gray matter reductions localized to the frontotemporal cortex relative to comparison subjects. All relative groups had gray matter volumes that did not differ from comparison subjects.
CONCLUSIONS: Across the dimensional psychosis categories, these findings indicate extensive neocortical gray matter reductions in psychosis probands and relatives with psychosis spectrum disorders, possibly reflecting lifetime psychosis burden, but normal gray matter in nonpsychotic relatives. Traditional DSM-IV psychosis grouping revealed partially divergent gray matter phenotypes for probands with schizophrenia or schizoaffective disorder (extensive neocortical or subcortical gray matter reductions) relative to those with psychotic bipolar disorder (smaller reductions were limited to frontotemporal regions). The dimensional conceptualization of psychosis appears useful in defining more homogenous disease categories that may help identify underlying psychosis biomarkers and develop a biologically driven diagnostic system and targeted treatments.

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Mesh:

Year:  2013        PMID: 24185241      PMCID: PMC6487663          DOI: 10.1176/appi.ajp.2013.13010126

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  57 in total

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Journal:  Brain Struct Funct       Date:  2014-11-02       Impact factor: 3.270

Review 2.  The Kraepelinian dichotomy viewed by neuroimaging.

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Journal:  Schizophr Bull       Date:  2014-12-22       Impact factor: 9.306

3.  Evidence That Environmental and Familial Risks for Psychosis Additively Impact a Multidimensional Subthreshold Psychosis Syndrome.

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4.  Examining cognition across the bipolar/schizophrenia diagnostic spectrum.

Authors:  Amy J Lynham; Leon Hubbard; Katherine E Tansey; Marian L Hamshere; Sophie E Legge; Michael J Owen; Ian R Jones; James T R Walters
Journal:  J Psychiatry Neurosci       Date:  2018-04-05       Impact factor: 6.186

5.  Associations between adolescent cannabis use and brain structure in psychosis.

Authors:  Hila Abush; Subroto Ghose; Erin A Van Enkevort; Brett A Clementz; Godfrey D Pearlson; John A Sweeney; Matcheri S Keshavan; Carol A Tamminga; Elena I Ivleva
Journal:  Psychiatry Res Neuroimaging       Date:  2018-03-28       Impact factor: 2.376

6.  Identification of Distinct Psychosis Biotypes Using Brain-Based Biomarkers.

Authors:  Brett A Clementz; John A Sweeney; Jordan P Hamm; Elena I Ivleva; Lauren E Ethridge; Godfrey D Pearlson; Matcheri S Keshavan; Carol A Tamminga
Journal:  Am J Psychiatry       Date:  2015-12-07       Impact factor: 18.112

7.  Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within Individuals.

Authors:  Martin Rozycki; Theodore D Satterthwaite; Nikolaos Koutsouleris; Guray Erus; Jimit Doshi; Daniel H Wolf; Yong Fan; Raquel E Gur; Ruben C Gur; Eva M Meisenzahl; Chuanjun Zhuo; Hong Yin; Hao Yan; Weihua Yue; Dai Zhang; Christos Davatzikos
Journal:  Schizophr Bull       Date:  2018-08-20       Impact factor: 9.306

8.  Shared intermediate phenotypes for schizophrenia and bipolar disorder: neuroanatomical features of subtypes distinguished by executive dysfunction.

Authors:  Alana M Shepherd; Yann Quidé; Kristin R Laurens; Nicole O'Reilly; Jesseca E Rowland; Philip B Mitchell; Vaughan J Carr; Melissa J Green
Journal:  J Psychiatry Neurosci       Date:  2015-01       Impact factor: 6.186

9.  Multivariate Relationships Between Cognition and Brain Anatomy Across the Psychosis Spectrum.

Authors:  Amanda L Rodrigue; Jennifer E McDowell; Neeraj Tandon; Matcheri S Keshavan; Carol A Tamminga; Godfrey D Pearlson; John A Sweeney; Robert D Gibbons; Brett A Clementz
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2018-03-31

Review 10.  Electrical stimulation of cranial nerves in cognition and disease.

Authors:  Devin Adair; Dennis Truong; Zeinab Esmaeilpour; Nigel Gebodh; Helen Borges; Libby Ho; J Douglas Bremner; Bashar W Badran; Vitaly Napadow; Vincent P Clark; Marom Bikson
Journal:  Brain Stimul       Date:  2020-02-23       Impact factor: 8.955

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