Literature DB >> 24239093

Multimodal voxel-based meta-analysis of structural and functional magnetic resonance imaging studies in those at elevated genetic risk of developing schizophrenia.

Deborah Cooper1, Victoria Barker2, Joaquim Radua3, Paolo Fusar-Poli4, Stephen M Lawrie2.   

Abstract

Computational brain-imaging studies of individuals at familial high risk for psychosis have provided interesting results, but interpreting these findings can be a challenge due to a number of factors. We searched the literature for studies reporting whole brain voxel-based morphometry (VBM) or functional magnetic resonance imaging (fMRI) findings in people at familial high risk for schizophrenia compared with a control group. A voxel-wise meta-analysis with the effect-size version of Signed Differential Mapping (ES-SDM) identified regional abnormalities of functional brain response. Similarly, an ES-SDM meta-analysis was conducted on VBM studies. A multi-modal imaging meta-analysis was used to highlight brain regions with both structural and functional abnormalities. Nineteen studies met the inclusion criteria, in which a total of 815 familial high-risk individuals were compared to 685 controls. Our fMRI results revealed a number of regions of altered activation. VBM findings demonstrated both increases and decreases in grey matter density of relatives in a variety of brain regions. The multimodal analysis revealed relatives had decreased grey matter with hyper-activation in the left inferior frontal gyrus/amygdala, and decreased grey matter with hypo-activation in the thalamus. We found several regions of altered activation or structure in familial high-risk individuals. Reliable fMRI findings in the right posterior superior temporal gyrus further confirm that alteration in this area is a potential marker of risk.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Functional MRI; Genetic; Multimodal; Relatives; Schizophrenia; Voxel based morphometry

Mesh:

Year:  2013        PMID: 24239093     DOI: 10.1016/j.pscychresns.2013.07.008

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  29 in total

1.  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

2.  Brain Age in Early Stages of Bipolar Disorders or Schizophrenia.

Authors:  Tomas Hajek; Katja Franke; Marian Kolenic; Jana Capkova; Martin Matejka; Lukas Propper; Rudolf Uher; Pavla Stopkova; Tomas Novak; Tomas Paus; Miloslav Kopecek; Filip Spaniel; Martin Alda
Journal:  Schizophr Bull       Date:  2019-01-01       Impact factor: 9.306

Review 3.  Altering the course of schizophrenia: progress and perspectives.

Authors:  Mark J Millan; Annie Andrieux; George Bartzokis; Kristin Cadenhead; Paola Dazzan; Paolo Fusar-Poli; Jürgen Gallinat; Jay Giedd; Dennis R Grayson; Markus Heinrichs; René Kahn; Marie-Odile Krebs; Marion Leboyer; David Lewis; Oscar Marin; Philippe Marin; Andreas Meyer-Lindenberg; Patrick McGorry; Philip McGuire; Michael J Owen; Paul Patterson; Akira Sawa; Michael Spedding; Peter Uhlhaas; Flora Vaccarino; Claes Wahlestedt; Daniel Weinberger
Journal:  Nat Rev Drug Discov       Date:  2016-03-04       Impact factor: 84.694

4.  Neuroimaging Biomarkers for Psychosis.

Authors:  Brandon M Hager; Matcheri S Keshavan
Journal:  Curr Behav Neurosci Rep       Date:  2015-03-06

5.  Age-related brain structural alterations as an intermediate phenotype of psychosis.

Authors:  Juergen Dukart; Renata Smieskova; Fabienne Harrisberger; Claudia Lenz; André Schmidt; Anna Walter; Christian Huber; Anita Riecher-Rössler; Andor Simon; Undine E Lang; Paolo Fusar-Poli; Stefan Borgwardt
Journal:  J Psychiatry Neurosci       Date:  2017-09       Impact factor: 6.186

6.  Grey matter, an endophenotype for schizophrenia? A voxel-based morphometry study in siblings of patients with schizophrenia.

Authors:  Jorien van der Velde; Paula M Gromann; Marte Swart; Lieuwe de Haan; Durk Wiersma; Richard Bruggeman; Lydia Krabbendam; André Aleman
Journal:  J Psychiatry Neurosci       Date:  2015-05       Impact factor: 6.186

7.  Working Memory in Unaffected Relatives of Patients With Schizophrenia: A Meta-Analysis of Functional Magnetic Resonance Imaging Studies.

Authors:  Ruibin Zhang; Marco Picchioni; Paul Allen; Timothea Toulopoulou
Journal:  Schizophr Bull       Date:  2016-01-05       Impact factor: 9.306

Review 8.  Sustained attention in psychosis: Neuroimaging findings.

Authors:  Gianna Sepede; Maria Chiara Spano; Marco Lorusso; Domenico De Berardis; Rosa Maria Salerno; Massimo Di Giannantonio; Francesco Gambi
Journal:  World J Radiol       Date:  2014-06-28

9.  Running in the Family? Structural Brain Abnormalities and IQ in Offspring, Siblings, Parents, and Co-twins of Patients with Schizophrenia.

Authors:  Sonja M C de Zwarte; Rachel M Brouwer; Andromachi Tsouli; Wiepke Cahn; Manon H J Hillegers; Hilleke E Hulshoff Pol; René S Kahn; Neeltje E M van Haren
Journal:  Schizophr Bull       Date:  2019-10-24       Impact factor: 9.306

10.  Meta-Modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia.

Authors:  Haleh Falakshahi; Victor M Vergara; Jingyu Liu; Daniel H Mathalon; Judith M Ford; James Voyvodic; Bryon A Mueller; Aysenil Belger; Sarah McEwen; Steven G Potkin; Adrian Preda; Hooman Rokham; Jing Sui; Jessica A Turner; Sergey Plis; Vince D Calhoun
Journal:  IEEE Trans Biomed Eng       Date:  2020-01-07       Impact factor: 4.538

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