Allometric scaling of brain regions to intra-cranial volume: An epidemiological MRI study

被引:26
作者
de Jong, Laura W. [1 ]
Vidal, Jean-Sebastien [2 ,3 ]
Forsberg, Lars E. [4 ]
Zijdenbos, Alex P. [5 ]
Haight, Thaddeus [6 ]
Sigurdsson, Sigurdur [7 ]
Gudnason, Vilmundur [7 ]
van Buchem, Mark A. [1 ]
Launer, Lenore J. [6 ]
机构
[1] Leiden Univ, Dept Radiol, Med Ctr, Albinusdreef 2, NL-2333 ZA Leiden, Netherlands
[2] Broca Hosp, AP HP, Dept Geriatr, F-75013 Paris, France
[3] Univ Paris 05, Sorbonne Paris 5, EA 4468, F-75006 Paris, France
[4] Karolinska Inst, Dept Clin Neurosci, Stockholm, Sweden
[5] Biospective Inc, Montreal, PQ, Canada
[6] NIA, Intramural Res Program, Bethesda, MD 20892 USA
[7] Iceland Heart Assoc, Kopavogur, Iceland
基金
美国国家卫生研究院;
关键词
MRI; allometry; intra-cranial volume; brain; cortex; striatum; white matter; thalamus; AGES-Reykjavik; ADNI; CARDIA; CORTICAL SURFACE; CEREBRAL-CORTEX; SIZE; IMAGES; SHAPE; SEGMENTATION; ADJUSTMENT; REYKJAVIK; MAMMALS; AGE;
D O I
10.1002/hbm.23351
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
There is growing evidence that sub-structures of the brain scale allometrically to total brain size, that is, in a non-proportional and non-linear way. Here, scaling of different volumes of interest (VOI) to intra-cranial volume (ICV) was examined. It was assessed whether scaling was allometric or isometric and whether scaling coefficients significantly differed from each other. We also tested to what extent allometric scaling of VOI was introduced by the automated segmentation technique. Furthermore, reproducibility of allometric scaling was studied different age groups and study populations. Study samples included samples of cognitively healthy adults from the community-based Age Gene/Environment Susceptibility-Reykjavik Study (AGES-Reykjavik Study) (N=3,883), the Coronary Artery Risk Development in Young Adults Study (CARDIA) (N =709), and the Alzheimer's Disease Neuroimaging Initiative (ADNI) (N=180). Data encompassed participants with different age, ethnicity, risk factor profile, and ICV and VOI obtained with different automated MRI segmentation techniques. Our analysis showed that (1) allometric scaling is a trait of all parts of the brain, (2) scaling of neo-cortical white matter, neo-cortical gray matter, and deep gray matter structures including the cerebellum are significantly different from each other, and (3) allometric scaling of brain structures cannot solely be explained by age-associated atrophy, sex, ethnicity, or a systematic bias from study-specific segmentation algorithm, but appears to be a true feature of brain geometry. Hum Brain Mapp 38:151-164, 2017. (c) 2016 Wiley Periodicals, Inc.
引用
收藏
页码:151 / 164
页数:14
相关论文
共 29 条
[1]   Effects of spatial transformation on regional brain volume estimates [J].
Allen, John S. ;
Bruss, Joel ;
Mehta, Sonya ;
Grabowski, Thomas ;
Brown, C. Kice ;
Damasio, Hanna .
NEUROIMAGE, 2008, 42 (02) :535-547
[2]   Head size, age and gender adjustment in MRI studies: a necessary nuisance? [J].
Barnes, Josephine ;
Ridgway, Gerard R. ;
Bartlett, Jonathan ;
Henley, Susie M. D. ;
Lehmann, Manja ;
Hobbs, Nicola ;
Clarkson, Matthew J. ;
MacManus, David G. ;
Ourselin, Sebastien ;
Fox, Nick C. .
NEUROIMAGE, 2010, 53 (04) :1244-1255
[3]   Cortical surface-based analysis - I. Segmentation and surface reconstruction [J].
Dale, AM ;
Fischl, B ;
Sereno, MI .
NEUROIMAGE, 1999, 9 (02) :179-194
[4]   Hierarchical active shape models, using the wavelet transform [J].
Davatzikos, C ;
Tao, XD ;
Shen, DG .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2003, 22 (03) :414-423
[5]   FALLACIES OF PROGRESSION IN THEORIES OF BRAIN-SIZE EVOLUTION [J].
DEACON, TW .
INTERNATIONAL JOURNAL OF PRIMATOLOGY, 1990, 11 (03) :193-236
[6]   Genetic Patterns of Correlation Among Subcortical Volumes in Humans: Results From a Magnetic Resonance Imaging Twin Study [J].
Eyler, Lisa T. ;
Prom-Wormley, Elizabeth ;
Fennema-Notestine, Christine ;
Panizzon, Matthew S. ;
Neale, Michael C. ;
Jernigan, Terry L. ;
Fischl, Bruce ;
Franz, Carol E. ;
Lyons, Michael J. ;
Stevens, Allison ;
Pacheco, Jennifer ;
Perry, Michele E. ;
Schmitt, J. Eric ;
Spitzer, Nicholas C. ;
Seidman, Larry J. ;
Thermenos, Heidi W. ;
Tsuang, Ming T. ;
Dale, Anders M. ;
Kremen, William S. .
HUMAN BRAIN MAPPING, 2011, 32 (04) :641-653
[7]   CARDIA - STUDY DESIGN, RECRUITMENT, AND SOME CHARACTERISTICS OF THE EXAMINED SUBJECTS [J].
FRIEDMAN, GD ;
CUTTER, GR ;
DONAHUE, RP ;
HUGHES, GH ;
HULLEY, SB ;
JACOBS, DR ;
LIU, K ;
SAVAGE, PJ .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 1988, 41 (11) :1105-1116
[8]   Larger is twistier: Spectral analysis of gyrification (SPANGY) applied to adult brain size polymorphism [J].
Germanaud, David ;
Lefevre, Julien ;
Toro, Roberto ;
Fischer, Clara ;
Dubois, Jessica ;
Hertz-Pannier, Lucie ;
Mangin, Jean-Francois .
NEUROIMAGE, 2012, 63 (03) :1257-1272
[9]   An image-processing system for qualitative and quantitative volumetric analysis of brain images [J].
Goldszal, AF ;
Davatzikos, C ;
Pham, DL ;
Yan, MXH ;
Bryan, RN ;
Resnick, SM .
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 1998, 22 (05) :827-837
[10]   Age, Gene/Environment Susceptibility-Reykjavik Study: Multidisciplinary applied phenomics [J].
Harris, Tamara B. ;
Launer, Lenore J. ;
Eiriksdottir, Gudny ;
Kjartansson, Olafur ;
Jonsson, Palmi V. ;
Sigurdsson, Gunnar ;
Thorgeirsson, Gudmundur ;
Aspelund, Thor ;
Garcia, Melissa E. ;
Cotch, Mary Frances ;
Hoffman, Howard J. ;
Gudnason, Vilmundur .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2007, 165 (09) :1076-1087