Literature DB >> 10334902

Localizing age-related changes in brain structure between childhood and adolescence using statistical parametric mapping.

E R Sowell1, P M Thompson, C J Holmes, R Batth, T L Jernigan, A W Toga.   

Abstract

Volumetric studies have consistently shown reductions in cerebral gray matter volume between childhood and adolescence, with the most dramatic changes occurring in the more dorsal cortices of the frontal and parietal lobes. The purpose of this study was to examine the spatial location of these changes employing methods typical of functional imaging studies. T1-weighted structural MRI data (1.2 mm) were analyzed for nine normally developing children and nine normal adolescents. Validity and reliability of the tissue segmentation protocol were assessed as part of several preprocessing analyses prior to statistical parametric mapping (SPM). Using SPM96, a simple contrast of average gray matter differences between the two age groups revealed 57 significant clusters (SPM[Z] height threshold, P<0.001, extent threshold 50, uncorrected). The pattern and distribution of differences were consistent with earlier findings from the volumetric assessment of the same subjects. Specifically, more differences were observed in dorsal frontal and parietal regions with relatively few differences observed in cortices of the temporal and occipital lobes. Permutation tests were conducted to assess the overall significance of the gray matter differences and validity of the parametric maps. Twenty SPMs were created with subjects randomly assigned to groups. None of the random SPMs approached the number of significant clusters observed in the age difference SPM (mean number of significant clusters = 5.8). The age effects observed appear to result from regions that consistently segment as gray matter in the younger group and consistently segment as white matter in the older group. The utility of these methods for localizing relatively subtle structural changes that occur between childhood and adolescence has not previously been examined. Copyright 1999 Academic Press.

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Year:  1999        PMID: 10334902     DOI: 10.1006/nimg.1999.0436

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  146 in total

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Authors:  E R Sowell; P M Thompson; K D Tessner; A W Toga
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Review 4.  [Mrt-based morphometry. A current assessment].

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5.  Linear and curvilinear correlations of brain gray matter volume and density with age using voxel-based morphometry with the Akaike information criterion in 291 healthy children.

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6.  A longitudinal study of age- and gender-related annual rate of volume changes in regional gray matter in healthy adults.

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Journal:  Hum Brain Mapp       Date:  2017-07-20       Impact factor: 5.038

8.  Asymmetries of cortical thickness: effects of handedness, sex, and schizophrenia.

Authors:  Liberty S Hamilton; Katherine L Narr; Eileen Luders; Philip R Szeszko; Paul M Thompson; Robert M Bilder; Arthur W Toga
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9.  Online resource for validation of brain segmentation methods.

Authors:  David W Shattuck; Gautam Prasad; Mubeena Mirza; Katherine L Narr; Arthur W Toga
Journal:  Neuroimage       Date:  2008-11-25       Impact factor: 6.556

Review 10.  Converging levels of analysis on a genomic hotspot for psychosis: insights from 22q11.2 deletion syndrome.

Authors:  Matthew J Schreiner; Maria T Lazaro; Maria Jalbrzikowski; Carrie E Bearden
Journal:  Neuropharmacology       Date:  2012-10-23       Impact factor: 5.250

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