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Table representation of search results timeline featuring number of search results per year.

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2008 1
2009 1
2010 3
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2017 3
2019 1
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2022 0
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Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements.
Tustison NJ, Cook PA, Klein A, Song G, Das SR, Duda JT, Kandel BM, van Strien N, Stone JR, Gee JC, Avants BB. Tustison NJ, et al. Neuroimage. 2014 Oct 1;99:166-79. doi: 10.1016/j.neuroimage.2014.05.044. Epub 2014 May 29. Neuroimage. 2014. PMID: 24879923
Many studies of the human brain have explored the relationship between cortical thickness and cognition, phenotype, or disease. Due to the subjectivity and time requirements in manual measurement of cortical thickness, scientists have relied on robust …
Many studies of the human brain have explored the relationship between cortical thickness and cognition, phenotype, or disease …
Regional and hemispheric variation in cortical thickness in chimpanzees (Pan troglodytes).
Hopkins WD, Avants BB. Hopkins WD, et al. J Neurosci. 2013 Mar 20;33(12):5241-8. doi: 10.1523/JNEUROSCI.2996-12.2013. J Neurosci. 2013. PMID: 23516289 Free PMC article.
Recent advances in structural magnetic resonance imaging technology and analysis now allows for accurate in vivo measurement of cortical thickness, an important aspect of cortical organization that has historically only been conducted on postmortem brains. .. …
Recent advances in structural magnetic resonance imaging technology and analysis now allows for accurate in vivo measurement of cortical
Age-Related Effects and Sex Differences in Gray Matter Density, Volume, Mass, and Cortical Thickness from Childhood to Young Adulthood.
Gennatas ED, Avants BB, Wolf DH, Satterthwaite TD, Ruparel K, Ciric R, Hakonarson H, Gur RE, Gur RC. Gennatas ED, et al. J Neurosci. 2017 May 17;37(20):5065-5073. doi: 10.1523/JNEUROSCI.3550-16.2017. Epub 2017 Apr 21. J Neurosci. 2017. PMID: 28432144 Free PMC article.
Developmental structural neuroimaging studies in humans have long described decreases in gray matter volume (GMV) and cortical thickness (CT) during adolescence. Gray matter density (GMD), a measure often assumed to be highly related to volume, has not been systemat …
Developmental structural neuroimaging studies in humans have long described decreases in gray matter volume (GMV) and cortical thi
Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images.
Guo S, Lai C, Wu C, Cen G; Alzheimer's Disease Neuroimaging Initiative. Guo S, et al. Front Aging Neurosci. 2017 May 18;9:146. doi: 10.3389/fnagi.2017.00146. eCollection 2017. Front Aging Neurosci. 2017. PMID: 28572766 Free PMC article.
Four cortical features, namely, gray matter volume, cortical thickness, surface area, and mean curvature, were explored for discriminative analysis among three groups including the stable MCI (sMCI), the converted MCI (cMCI), and the normal control (NC) group …
Four cortical features, namely, gray matter volume, cortical thickness, surface area, and mean curvature, were explored …
Longitudinal Mapping of Cortical Thickness Measurements: An Alzheimer's Disease Neuroimaging Initiative-Based Evaluation Study.
Tustison NJ, Holbrook AJ, Avants BB, Roberts JM, Cook PA, Reagh ZM, Duda JT, Stone JR, Gillen DL, Yassa MA; Alzheimer’s Disease Neuroimaging Initiative. Tustison NJ, et al. J Alzheimers Dis. 2019;71(1):165-183. doi: 10.3233/JAD-190283. J Alzheimers Dis. 2019. PMID: 31356207
Using the first phase of the Alzheimer's Disease Neuroimaging Initiative (ADNI-1) data, comprising over 600 subjects with multiple time points from baseline to 36 months, we evaluate the utility of longitudinal FreeSurfer and Advanced Normalization Tools (ANTs) surrogate thick
Using the first phase of the Alzheimer's Disease Neuroimaging Initiative (ADNI-1) data, comprising over 600 subjects with multiple time poin …
Associations between children's socioeconomic status and prefrontal cortical thickness.
Lawson GM, Duda JT, Avants BB, Wu J, Farah MJ. Lawson GM, et al. Dev Sci. 2013 Sep;16(5):641-52. doi: 10.1111/desc.12096. Epub 2013 Jul 30. Dev Sci. 2013. PMID: 24033570 Free PMC article.
Structural MRI and demographic data from a sample of 283 healthy children from the NIH MRI Study of Normal Brain Development were used to investigate the relationship between SES and prefrontal cortical thickness. Specifically, we assessed the association between tw …
Structural MRI and demographic data from a sample of 283 healthy children from the NIH MRI Study of Normal Brain Development were used to in …
Relation of Childhood Home Environment to Cortical Thickness in Late Adolescence: Specificity of Experience and Timing.
Avants BB, Hackman DA, Betancourt LM, Lawson GM, Hurt H, Farah MJ. Avants BB, et al. PLoS One. 2015 Oct 28;10(10):e0138217. doi: 10.1371/journal.pone.0138217. eCollection 2015. PLoS One. 2015. PMID: 26509809 Free PMC article.
Using a unique longitudinal dataset of in-home measures of childhood experience at ages 4 and 8 and MRI acquired in late adolescence, we were able to relate normal variation in childhood experience to later life cortical thickness. Environmental stimulation at age 4 …
Using a unique longitudinal dataset of in-home measures of childhood experience at ages 4 and 8 and MRI acquired in late adolescence, we wer …
Registration based cortical thickness measurement.
Das SR, Avants BB, Grossman M, Gee JC. Das SR, et al. Neuroimage. 2009 Apr 15;45(3):867-79. doi: 10.1016/j.neuroimage.2008.12.016. Epub 2008 Dec 25. Neuroimage. 2009. PMID: 19150502 Free PMC article.
Cortical thickness is an important biomarker for image-based studies of the brain. A diffeomorphic registration based cortical thickness (DiReCT) measure is introduced where a continuous one-to-one correspondence between the gray matter-white matter in
Cortical thickness is an important biomarker for image-based studies of the brain. A diffeomorphic registration based corti
Dementia induces correlated reductions in white matter integrity and cortical thickness: a multivariate neuroimaging study with sparse canonical correlation analysis.
Avants BB, Cook PA, Ungar L, Gee JC, Grossman M. Avants BB, et al. Neuroimage. 2010 Apr 15;50(3):1004-16. doi: 10.1016/j.neuroimage.2010.01.041. Epub 2010 Jan 18. Neuroimage. 2010. PMID: 20083207 Free PMC article.
We use a new, unsupervised multivariate imaging and analysis strategy to identify related patterns of reduced white matter integrity, measured with the fractional anisotropy (FA) derived from diffusion tensor imaging (DTI), and decreases in cortical thickness, measu …
We use a new, unsupervised multivariate imaging and analysis strategy to identify related patterns of reduced white matter integrity, measur …
Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability.
Xie L, Pluta JB, Das SR, Wisse LEM, Wang H, Mancuso L, Kliot D, Avants BB, Ding SL, Manjón JV, Wolk DA, Yushkevich PA. Xie L, et al. Neuroimage. 2017 Jan 1;144(Pt A):183-202. doi: 10.1016/j.neuroimage.2016.09.070. Epub 2016 Oct 1. Neuroimage. 2017. PMID: 27702610 Free PMC article.
Large anatomical variability, manifested in the form of different cortical folding and branching patterns, makes it difficult to segment the PRC in MRI scans. ...Further, statistical maps of regional thickness difference between aMCI and controls revealed different …
Large anatomical variability, manifested in the form of different cortical folding and branching patterns, makes it difficult to segm …
21 results