Literature DB >> 17509536

Increased prefrontal gyrification in a large high-risk cohort characterizes those who develop schizophrenia and reflects abnormal prefrontal development.

Jonathan M Harris1, T William J Moorhead, Patrick Miller, Andrew M McIntosh, Heidi M Bonnici, David G C Owens, Eve C Johnstone, Stephen M Lawrie.   

Abstract

BACKGROUND: In our cohort considered at high risk (HR) of developing schizophrenia, we previously found a significant difference in extent of right prefrontal cortical folding between those who subsequently developed schizophrenia and a matched group who remained well. This study aimed to determine if this preexisting difference distinguished 17 individuals who developed schizophrenia from the 128 HR individuals in the cohort who remained well and to explore possible underlying differences in cortical composition.
METHODS: Prefrontal cortical folding was measured by an automated version of the Gyrification Index (A-GI), a ratio reflecting extent of folding. Multivariate logistic regression assessed the probability that prefrontal A-GI predicts diagnostic outcome and subsequently assessed the effect on A-GI of regional cerebrospinal fluid and gray and white matter.
RESULTS: High-risk individuals who subsequently developed schizophrenia were distinguished from the remaining cohort by increased right prefrontal cortex (PFC) A-GI. Mean right PFC gray matter volume also differed between groups, but white matter volume did not. Correlations of age with gray and white matter further distinguished groups and a linear regression analysis showed a significant interaction between age and diagnosis on mean volume of right PFC white matter.
CONCLUSIONS: Increased A-GI appears to indicate abnormal right prefrontal development in those who develop schizophrenia.

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Year:  2007        PMID: 17509536     DOI: 10.1016/j.biopsych.2006.11.027

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  36 in total

1.  Sexual dimorphic abnormalities in white matter geometry common to schizophrenia and non-psychotic high-risk subjects: Evidence for a neurodevelopmental risk marker?

Authors:  Peter Savadjiev; Larry J Seidman; Heidi Thermenos; Matcheri Keshavan; Susan Whitfield-Gabrieli; Tim J Crow; Marek Kubicki
Journal:  Hum Brain Mapp       Date:  2015-10-15       Impact factor: 5.038

Review 2.  Structural cerebral variations as useful endophenotypes in schizophrenia: do they help construct "extended endophenotypes"?

Authors:  Konasale M Prasad; Matcheri S Keshavan
Journal:  Schizophr Bull       Date:  2008-04-11       Impact factor: 9.306

3.  ZNF804A and cortical structure in schizophrenia: in vivo and postmortem studies.

Authors:  Carl Christoph Schultz; Igor Nenadic; Brien Riley; Vladimir I Vladimirov; Gerd Wagner; Kathrin Koch; Claudia Schachtzabel; Thomas W Mühleisen; Buket Basmanav; Markus M Nöthen; Thomas Deufel; Michael Kiehntopf; Marcella Rietschel; Jürgen R Reichenbach; Sven Cichon; Ralf G M Schlösser; Heinrich Sauer
Journal:  Schizophr Bull       Date:  2013-09-27       Impact factor: 9.306

4.  Do we have any solid evidence of clinical utility about the pathophysiology of schizophrenia?

Authors:  Stephen M Lawrie; Bayanne Olabi; Jeremy Hall; Andrew M McIntosh
Journal:  World Psychiatry       Date:  2011-02       Impact factor: 49.548

Review 5.  Inefficient neural system stabilization: a theory of spontaneous resolutions and recurrent relapses in psychosis

Authors:  Lena Palaniyappan
Journal:  J Psychiatry Neurosci       Date:  2019-11-01       Impact factor: 6.186

6.  Morphometry of structural disconnectivity indicators in subjects at risk and in age-matched patients with schizophrenia.

Authors:  Ralf Tepest; Christopher J Schwarzbach; Barbara Krug; Joachim Klosterkötter; Stephan Ruhrmann; Kai Vogeley
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2012-07-21       Impact factor: 5.270

7.  A Prospective Longitudinal Investigation of Cortical Thickness and Gyrification in Schizophrenia.

Authors:  Eric A Nelson; Nina V Kraguljac; David M White; Ripu D Jindal; Ah L Shin; Adrienne C Lahti
Journal:  Can J Psychiatry       Date:  2020-02-05       Impact factor: 4.356

8.  Cortical Morphometry in the Psychosis Risk Period: A Comprehensive Perspective of Surface Features.

Authors:  Katherine S F Damme; Tina Gupta; Robin Nusslock; Jessica A Bernard; Joseph M Orr; Vijay A Mittal
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2018-01-31

9.  Local gyrification index in probands with psychotic disorders and their first-degree relatives.

Authors:  Pranav Nanda; Neeraj Tandon; Ian T Mathew; Christoforos I Giakoumatos; Hulegar A Abhishekh; Brett A Clementz; Godfrey D Pearlson; John Sweeney; Carol A Tamminga; Matcheri S Keshavan
Journal:  Biol Psychiatry       Date:  2013-11-23       Impact factor: 13.382

10.  Predicting first episode psychosis in those at high risk for genetic or cognitive reasons.

Authors:  Stephen M Lawrie; Andrew Stanfield; Eve C Johnstone; Andrew M McIntosh
Journal:  Epidemiol Psychiatr Sci       Date:  2012-09-12       Impact factor: 6.892

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