Literature DB >> 12377141

Regional frontal cortical volumes decrease differentially in aging: an MRI study to compare volumetric approaches and voxel-based morphometry.

Danielle J Tisserand1, Jens C Pruessner, Ernesto J Sanz Arigita, Martin P J van Boxtel, Alan C Evans, Jelle Jolles, Harry B M Uylings.   

Abstract

Recent neuroimaging studies suggest that the frontal lobes are the part of the brain most profoundly affected by the aging process. The present study investigated whether subregions within the frontal cortex show different patterns of brain aging. Magnetic resonance images of 57 healthy participants between 21 and 81 years old were used to measure regional frontal gray matter volumes in three ways: a manual tracing method, a semiautomatic "Talairach boxes" volumetric method, and voxel-based morphometry. Seven regions within each hemisphere were manually traced: precentral gyrus, inferior frontal gyrus, dorsolateral frontal cortex, ventral medial region, lateral orbital region, anterior cingulate, and frontal pole. With the semiautomatic approach, four regions were measured: lateral, orbital, and medial frontal regions and frontal pole. Advancing age was strongly associated with decreases in the volume of the whole frontal cortex. Differential age effects on the volumes of frontal subregions were dependent on the method applied. According to the manual approach, age-related volume decreases were strongest in the lateral and orbital frontal gray matter. The semiautomatic and voxel-based analyses found that age effects were most prominent within the lateral frontal and cingulate regions. Overall, it was concluded that although semiautomated and voxel-based methods can provide a reasonable estimate of regional brain volume, they cannot serve as a substitute for manual volumetry.

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Year:  2002        PMID: 12377141

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


  126 in total

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4.  Impact of scale space search on age- and gender-related changes in MRI-based cortical morphometry.

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5.  Normal age-related brain morphometric changes: nonuniformity across cortical thickness, surface area and gray matter volume?

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8.  Structural consequences of diffuse traumatic brain injury: a large deformation tensor-based morphometry study.

Authors:  Junghoon Kim; Brian Avants; Sunil Patel; John Whyte; Branch H Coslett; John Pluta; John A Detre; James C Gee
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9.  Development and Validation of the State-Trait Inventory of Cognitive Fatigue in Community-Dwelling Older Adults.

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10.  Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization.

Authors:  Aristeidis Sotiras; Susan M Resnick; Christos Davatzikos
Journal:  Neuroimage       Date:  2014-12-12       Impact factor: 6.556

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