Cortical Abnormalities in Schizophrenia Identified by Structural Magnetic Resonance Imaging

Goldstein, Jill M.; Goodman, Julie M.; Seidman, Larry J.; Kennedy, David N.; Makris, Nikos; Lee, Hang; Tourville, Jason A.; Caviness, Verne S.; Faraone, Stephen V.; Tsuang, Ming T.

doi:10.1001/archpsyc.56.6.537

Cited by 342 publications

(218 citation statements)

References 73 publications

Supporting

Mentioning

191

Contrasting

Unclassified

Order By: Relevance

“…Volumetric measures were then extracted by the application of the probabilistic HO Cortical Structural Atlas that defines 48 cortical regions on a normalized brain (as distributed with the FSL software package http://www.cma.mgh.harvard.edu/fsl_ atlas.html). The cortical parcellations for this atlas were originally described in (Goldstein, Goodman, et al, 1999, Goldstein, Seidman, et al, 2007. We split each of the 48 regions of the HO atlas at the centre of the left-right axis, to produce 48 regions for each cerebral hemisphere.…”

Section: Image Processingmentioning

confidence: 99%

“…Column (a) depicts the results from males only, column (b) from females and column (c) the results from males and females meta-analysed. Goodman, et al, 1999;Goldstein, Seidman, et al, 2007). It therefore contained asymmetrical definitions for structures that showed different sizes or locations between the left and right hemispheres in the reference dataset (including the PT; Fig.…”

Section: 2mentioning

confidence: 99%

See 1 more Smart Citation

Asymmetry within and around the human planum temporale is sexually dimorphic and influenced by genes involved in steroid hormone receptor activity

Guadalupe

Zwiers

Wittfeld

et al. 2015

Cortex

120

View full text Add to dashboard Cite

The genetic determinants of cerebral asymmetries are unknown. Sex differences in asymmetry of the planum temporale, that overlaps Wernicke’s classical language area, have been inconsistently reported. Meta-analysis of previous studies has suggested that publication bias established this sex difference in the literature. Using probabilistic definitions of cortical regions we screened over the cerebral cortex for sexual dimorphisms of asymmetry in 2337 healthy subjects, and found the planum temporale to show the strongest sex-linked asymmetry of all regions, which was supported by two further datasets, and also by analysis with the Freesurfer package that performs automated parcellation of cerebral cortical regions. We performed a genome-wide association scan meta-analysis of planum temporale asymmetry in a pooled sample of 3095 subjects, followed by a candidate-driven approach which measured a significant enrichment of association in genes of the ´steroid hormone receptor activity´ and 'steroid metabolic process' pathways. Variants in the genes and pathways identified may affect the role of the planum temporale in language cognition

show abstract

Section: Image Processingmentioning

confidence: 99%

Section: 2mentioning

confidence: 99%

Asymmetry within and around the human planum temporale is sexually dimorphic and influenced by genes involved in steroid hormone receptor activity

Guadalupe

Zwiers

Wittfeld

et al. 2015

Cortex

120

View full text Add to dashboard Cite

show abstract

“…MRI findings of frontal lobe volume deficits in schizophrenia have been relatively inconsistent, with several studies reporting reduced volume in schizophrenia and others reporting no significant differences (Goldstein et al, 1999;McCarley et al, 1999;Shenton et al, 2001). Although a few studies have evaluated subregions within the frontal lobe, Buchanan et al (1998) reported volume reductions in prefrontal WM as well as right and left inferior gyri volume reduction in schizophrenia.…”

Section: Cortical Thickness Abnormalities In Schizophreniamentioning

confidence: 99%

Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia

Yoon

Lee

et al. 2007

NeuroImage

View full text Add to dashboard Cite

We proposed pattern classification based on principal components of cortical thickness between schizophrenic patients and healthy controls, which was trained using a leave-one-out cross-validation. The cortical thickness was measured by calculating the Euclidean distance between linked vertices on the inner and outer cortical surfaces. Principal component analysis was applied to each lobe for practical computational issues and stability of principal components. And, discriminative patterns derived at every vertex in the original feature space with respect to support vector machine were analyzed with definitive findings of brain abnormalities in schizophrenia for establishing practical confidence. It was simulated with 50 randomly selected validation set for the generalization and the average accuracy of classification was reported. This study showed that some principal components might be more useful than others for classification, but not necessarily matching the ordering of the variance amounts they explained. In particular, 40-70 principal components rearranged by a simple two-sample t-test which ranked the effectiveness of features were used for the best mean accuracy of simulated classification (frontal: (left(%)|right(%)) = 91.07|88.80, parietal: 91.40|91.53, temporal: 93.60|91.47, occipital: 88.80|91.60). And, discriminative power appeared more spatially diffused bilaterally in the several regions, especially precentral, postcentral, superior frontal and temporal, cingulate and parahippocampal gyri. Since our results of discriminative patterns derived from classifier were consistent with a previous morphological analysis of schizophrenia, it can be said that the cortical thickness is a reliable feature for pattern classification and the potential benefits of such diagnostic tools are enhanced by our finding.

show abstract

“…1 Support for dysfunction in this brain region at the imaging, cellular and molecular level in schizophrenia [2][3][4][5] and bipolar disorder [6][7][8] is very strong.…”

Section: Introductionmentioning

confidence: 99%

Prominent synaptic and metabolic abnormalities revealed by proteomic analysis of the dorsolateral prefrontal cortex in schizophrenia and bipolar disorder

et al. 2007

View full text Add to dashboard Cite

There is evidence for both similarity and distinction in the presentation and molecular characterization of schizophrenia and bipolar disorder. In this study, we characterized protein abnormalities in the dorsolateral prefrontal cortex in schizophrenia and bipolar disorder using two-dimensional gel electrophoresis. Tissue samples were obtained from 35 individuals with schizophrenia, 35 with bipolar disorder and 35 controls. Eleven protein spots in schizophrenia and 48 in bipolar disorder were found to be differentially expressed (P < 0.01) in comparison to controls, with 7 additional spots found to be altered in both diseases. Using mass spectrometry, 15 schizophrenia-associated proteins and 51 bipolar disorder-associated proteins were identified. The functional groups most affected included synaptic proteins (7 of the 15) in schizophrenia and metabolic or mitochondrial-associated proteins (25 of the 51) in bipolar disorder. Six of seven synaptic-associated proteins abnormally expressed in bipolar disorder were isoforms of the septin family, while two septin protein spots were also significantly differentially expressed in schizophrenia. This finding represented the largest number of abnormalities from one protein family. All septin protein spots were upregulated in disease in comparison to controls. This study provides further characterization of the synaptic pathology present in schizophrenia and of the metabolic dysfunction observed in bipolar disorder. In addition, our study has provided strong evidence implicating the septin protein family of proteins in psychiatric disorders for the first time.

show abstract

Cortical Abnormalities in Schizophrenia Identified by Structural Magnetic Resonance Imaging

Abstract: Findings using our methods have implications for understanding brain abnormalities in schizophrenia and suggest the importance of the paralimbic areas and their connections with prefrontal brain regions.

Cited by 342 publications

References 73 publications

Asymmetry within and around the human planum temporale is sexually dimorphic and influenced by genes involved in steroid hormone receptor activity

Asymmetry within and around the human planum temporale is sexually dimorphic and influenced by genes involved in steroid hormone receptor activity

Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia

Prominent synaptic and metabolic abnormalities revealed by proteomic analysis of the dorsolateral prefrontal cortex in schizophrenia and bipolar disorder

Contact Info

Product

Resources

About