Literature DB >> 23813686

Cortical surface complexity in frontal and temporal areas varies across subgroups of schizophrenia.

Igor Nenadic1, Rachel A Yotter, Heinrich Sauer, Christian Gaser.   

Abstract

Schizophrenia is assumed to be a neurodevelopmental disorder, which might involve disturbed development of the cerebral cortex, especially in frontal and medial temporal areas. Based on a novel spherical harmonics approach to measuring complexity of cortical folding, we applied a measure based on fractal dimension (FD) to investigate the heterogeneity of regional cortical surface abnormalities across subgroups of schizophrenia defined by symptom profiles. A sample of 87 patients with DSM-IV schizophrenia was divided into three subgroups (based on symptom profiles) with predominantly negative (n = 31), disorganized (n = 23), and paranoid (n = 33) symptoms and each compared to 108 matched healthy controls. While global FD measures were reduced in the right hemisphere of the negative and paranoid subgroups, regional analysis revealed marked heterogeneity of regional FD alterations. The negative subgroup showed most prominent reductions in left anterior cingulate, superior frontal, frontopolar, as well as right superior frontal and superior parietal cortices. The disorganized subgroup showed reductions in bilateral ventrolateral/orbitofrontal cortices, and several increases in the left hemisphere, including inferior parietal, middle temporal, and midcingulate areas. The paranoid subgroup showed only few changes, including decreases in the right superior parietal and left fusiform region, and increase in the left posterior cingulate cortex. Our findings suggest regional heterogeneity of cortical folding complexity, which might be related to biological subgroups of schizophrenia with differing degrees of altered cortical developmental pathology.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  cerebral cortex; cortical folding; fractal dimension; magnetic resonance imaging; psychopathology; psychosis; schizophrenia

Mesh:

Year:  2013        PMID: 23813686      PMCID: PMC6869458          DOI: 10.1002/hbm.22283

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  32 in total

1.  Symptom dimensions in old-age schizophrenics. Relationship to neuropsychological and motor abnormalities.

Authors:  H Sauer; C Hornstein; P Richter; A Mortimer; S R Hirsch
Journal:  Schizophr Res       Date:  1999-08-23       Impact factor: 4.939

2.  Interstitial cells of the white matter in the inferior parietal cortex in schizophrenia: An unbiased cell-counting study.

Authors:  B Kirkpatrick; R C Conley; A Kakoyannis; R L Reep; R C Roberts
Journal:  Synapse       Date:  1999-11       Impact factor: 2.562

3.  High-resolution intersubject averaging and a coordinate system for the cortical surface.

Authors:  B Fischl; M I Sereno; R B Tootell; A M Dale
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

4.  Hippocampal-cortical structural connectivity disruptions in schizophrenia: an integrated perspective from hippocampal shape, cortical thickness, and integrity of white matter bundles.

Authors:  Anqi Qiu; Ta Anh Tuan; Puay San Woon; Muhammad Farid Abdul-Rahman; Steven Graham; Kang Sim
Journal:  Neuroimage       Date:  2010-05-24       Impact factor: 6.556

5.  Cortical surface-based analysis. I. Segmentation and surface reconstruction.

Authors:  A M Dale; B Fischl; M I Sereno
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

6.  Measuring the thickness of the human cerebral cortex from magnetic resonance images.

Authors:  B Fischl; A M Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2000-09-26       Impact factor: 11.205

Review 7.  Neurodevelopment, neuroplasticity, and new genes for schizophrenia.

Authors:  Steven E Arnold; Konrad Talbot; Chang-Gyu Hahn
Journal:  Prog Brain Res       Date:  2005       Impact factor: 2.453

Review 8.  A developmental model for similarities and dissimilarities between schizophrenia and bipolar disorder.

Authors:  Robin M Murray; Pak Sham; Jim Van Os; Jolanta Zanelli; Mary Cannon; Colm McDonald
Journal:  Schizophr Res       Date:  2004-12-01       Impact factor: 4.939

Review 9.  Heterogeneity of brain structural variation and the structural imaging endophenotypes in schizophrenia.

Authors:  Igor Nenadic; Christian Gaser; Heinrich Sauer
Journal:  Neuropsychobiology       Date:  2012-07-13       Impact factor: 2.328

10.  Structural correlates of psychopathological symptom dimensions in schizophrenia: a voxel-based morphometric study.

Authors:  Nikolaos Koutsouleris; Christian Gaser; Markus Jäger; Ronald Bottlender; Thomas Frodl; Silvia Holzinger; Gisela J E Schmitt; Thomas Zetzsche; Bernhard Burgermeister; Johanna Scheuerecker; Christine Born; Maximilian Reiser; Hans-Jürgen Möller; Eva M Meisenzahl
Journal:  Neuroimage       Date:  2007-11-01       Impact factor: 6.556

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  21 in total

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Review 2.  [Brain imaging in schizophrenia : A review of current trends and developments].

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3.  Predicting age from cortical structure across the lifespan.

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4.  Age-related differences in the structural complexity of subcortical and ventricular structures.

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6.  Mendelian randomization analyses support causal relationships between brain imaging-derived phenotypes and risk of psychiatric disorders.

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Review 7.  A healthy dose of chaos: Using fractal frameworks for engineering higher-fidelity biomedical systems.

Authors:  Anastasia Korolj; Hau-Tieng Wu; Milica Radisic
Journal:  Biomaterials       Date:  2019-07-15       Impact factor: 12.479

8.  Complexity analysis of cortical surface detects changes in future Alzheimer's disease converters.

Authors:  Juan Ruiz de Miras; Víctor Costumero; Vicente Belloch; Joaquín Escudero; César Ávila; Jorge Sepulcre
Journal:  Hum Brain Mapp       Date:  2017-08-30       Impact factor: 5.038

9.  Distinct neuronal activation patterns are associated with PCP-induced social withdrawal and its reversal by the endocannabinoid-enhancing drug URB597.

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Journal:  Neurosci Res       Date:  2016-04-19       Impact factor: 3.304

10.  Differential Effects of a Left Frontal Glioma on the Cortical Thickness and Complexity of Both Hemispheres.

Authors:  Ryuta Kinno; Yoshihiro Muragaki; Takashi Maruyama; Manabu Tamura; Kyohei Tanaka; Kenjiro Ono; Kuniyoshi L Sakai
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