Literature DB >> 16671082

Statistical neuroanatomy of the human inferior frontal gyrus and probabilistic atlas in a standard stereotaxic space.

Alexander Hammers1, Chi-Hua Chen, Louis Lemieux, Richard Allom, Spyridon Vossos, Samantha L Free, Ralph Myers, David J Brooks, John S Duncan, Matthias J Koepp.   

Abstract

We manually defined the inferior frontal gyrus (IFG) on high-resolution MRIs in native space in 30 healthy subjects (15 female, median age 31 years; 15 male, median age 30 years), resulting in 30 individual atlases. Using standard software (SPM99), these were spatially transformed to a widely used stereotaxic space (MNI/ICBM 152) to create probabilistic maps. In native space, the total IFG volume was on average 5%, and the gray matter (GM) portion 12% larger in women (not significant). Expressed as a percentage of ipsilateral frontal lobe volume (i.e., correcting for brain size), the IFG was an average of 20%, and the GM portion of the IFG 27%, larger in women (P < 0.005). Correcting for total lobar volume yielded the same result. No asymmetry was found in IFG volumes. There were significant positional differences between the right and left IFGs, with the right IFG being further lateral in both native and stereotaxic space. Variability was similar on the left and right, but more pronounced anteriorly and superiorly. We show differences in IFG volume, composition, and position between sexes and between hemispheres. Applications include probabilistic determination of location in group studies, automatic labeling of new scans, and detection of anatomical abnormalities in patients.

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Year:  2007        PMID: 16671082      PMCID: PMC6871382          DOI: 10.1002/hbm.20254

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


  41 in total

1.  Morphology, morphometry and probability mapping of the pars opercularis of the inferior frontal gyrus: an in vivo MRI analysis.

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Journal:  Eur J Neurosci       Date:  1999-09       Impact factor: 3.386

2.  Nonlinear spatial normalization using basis functions.

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Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

3.  Cerebral cortex: a topographic segmentation method using magnetic resonance imaging.

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4.  The biomedical imaging resource at Mayo Clinic.

Authors:  R A Robb
Journal:  IEEE Trans Med Imaging       Date:  2001-09       Impact factor: 10.048

5.  Automatically parcellating the human cerebral cortex.

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Journal:  Cereb Cortex       Date:  2004-01       Impact factor: 5.357

6.  High-resolution MRI reflects myeloarchitecture and cytoarchitecture of human cerebral cortex.

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7.  Sulcal variability of twins.

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Journal:  Cereb Cortex       Date:  1999 Oct-Nov       Impact factor: 5.357

8.  Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space.

Authors:  D L Collins; P Neelin; T M Peters; A C Evans
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9.  Assessment of spatial normalization of PET ligand images using ligand-specific templates.

Authors:  J H Meyer; R N Gunn; R Myers; P M Grasby
Journal:  Neuroimage       Date:  1999-05       Impact factor: 6.556

10.  Structural asymmetries in the human brain: a voxel-based statistical analysis of 142 MRI scans.

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Journal:  Cereb Cortex       Date:  2001-09       Impact factor: 5.357

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  23 in total

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2.  Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition.

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Journal:  Neuroimage       Date:  2014-11-20       Impact factor: 6.556

3.  Broca's area and the search for anatomical asymmetry: commentary and perspectives.

Authors:  Trisanna Sprung-Much; Nicole Eichert; Erika Nolan; Michael Petrides
Journal:  Brain Struct Funct       Date:  2021-08-14       Impact factor: 3.270

4.  A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T).

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Journal:  Neuroimage       Date:  2010-01-28       Impact factor: 6.556

5.  The contribution of cortical thickness and surface area to gray matter asymmetries in the healthy human brain.

Authors:  Katja Koelkebeck; Jun Miyata; Manabu Kubota; Waldemar Kohl; Shuraku Son; Hidenao Fukuyama; Nobukatsu Sawamoto; Hidehiko Takahashi; Toshiya Murai
Journal:  Hum Brain Mapp       Date:  2014-07-31       Impact factor: 5.038

6.  Learning to rank atlases for multiple-atlas segmentation.

Authors:  Gerard Sanroma; Guorong Wu; Yaozong Gao; Dinggang Shen
Journal:  IEEE Trans Med Imaging       Date:  2014-05-30       Impact factor: 10.048

7.  Denoising of 3D Brain MR Images with Parallel Residual Learning of Convolutional Neural Network Using Global and Local Feature Extraction.

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Journal:  Comput Intell Neurosci       Date:  2021-05-04

8.  Increased PK11195 PET binding in the cortex of patients with MS correlates with disability.

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Journal:  Neurology       Date:  2012-07-03       Impact factor: 9.910

9.  The relationship between reward and punishment processing and the 5-HT1A receptor as shown by PET.

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10.  Language-selective and domain-general regions lie side by side within Broca's area.

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Journal:  Curr Biol       Date:  2012-10-11       Impact factor: 10.834

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