A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume
作者: Randy L. BucknerDenise HeadJamie ParkerAnthony F. FotenosDaniel MarcusJohn C. MorrisAbraham Z. Snyder
作者单位: 1Department of Psychology, Washington University, USA
2Howard Hughes Medical Institute, USA
3Mallinckrodt Institute of Radiology, Washington University School of Medicine, USA
4Department of Anatomy and Neurobiology, Washington University School of Medicine, USA
5Division of Biology and Biomedical Sciences, Washington University School of Medicine, USA
6Department of Neurology, Washington University School of Medicine, USA
刊名: Neuroimage, 2004, Vol.23 (2), pp.724-738
来源数据库: Elsevier Journal
DOI: 10.1016/j.neuroimage.2004.06.018
关键词: Alzheimer's diseaseAgingMorphometryCognitive reserveBrain volumeICVTIVMCIfMRIPETHippocampus
原始语种摘要: Abstract(#br)Atlas normalization, as commonly used by functional data analysis, provides an automated solution to the widely encountered problem of correcting for head size variation in regional and whole-brain morphometric analyses, so long as an age- and population-appropriate target atlas is used. In the present article, we develop and validate an atlas normalization procedure for head size correction using manual total intracranial volume (TIV) measurement as a reference. The target image used for atlas transformation consisted of a merged young and old-adult template specifically created for cross age-span normalization. Automated atlas transformation generated the Atlas Scaling Factor (ASF) defined as the volume-scaling factor required to match each individual to the atlas target....
全文获取路径: Elsevier  (合作)
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影响因子:6.252 (2012)

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