Search Results - "Fonov, V S"

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  1. 1

    Network connectivity determines cortical thinning in early Parkinson’s disease progression by Yau, Y., Zeighami, Y., Baker, T. E., Larcher, K., Vainik, U., Dadar, M., Fonov, V. S., Hagmann, P., Griffa, A., Mišić, B., Collins, D. L., Dagher, A.

    Published in Nature communications (02-01-2018)
    “…Here we test the hypothesis that the neurodegenerative process in Parkinson’s disease (PD) moves stereotypically along neural networks, possibly reflecting the…”
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    Journal Article
  2. 2

    A new method for structural volume analysis of longitudinal brain MRI data and its application in studying the growth trajectories of anatomical brain structures in childhood by Aubert-Broche, B., Fonov, V.S., García-Lorenzo, D., Mouiha, A., Guizard, N., Coupé, P., Eskildsen, S.F., Collins, D.L.

    Published in NeuroImage (Orlando, Fla.) (15-11-2013)
    “…Cross-sectional analysis of longitudinal anatomical magnetic resonance imaging (MRI) data may be suboptimal as each dataset is analyzed independently. In this…”
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    Journal Article
  3. 3

    Framework for integrated MRI average of the spinal cord white and gray matter: The MNI–Poly–AMU template by Fonov, V.S., Le Troter, A., Taso, M., De Leener, B., Lévêque, G., Benhamou, M., Sdika, M., Benali, H., Pradat, P.-F., Collins, D.L., Callot, V., Cohen-Adad, J.

    Published in NeuroImage (Orlando, Fla.) (15-11-2014)
    “…The field of spinal cord MRI is lacking a common template, as existing for the brain, which would allow extraction of multi-parametric data…”
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    Journal Article
  4. 4

    Infants with congenital heart defects have reduced brain volumes by Skotting, Mikkel B., Eskildsen, S. F., Ovesen, A. S., Fonov, V. S., Ringgaard, S., Hjortdal, V. E., Lauridsen, M. H.

    Published in Scientific reports (18-02-2021)
    “…Children with congenital heart defects (CHDs) have increased risk of cognitive disabilities for reasons not fully understood. Previous studies have indicated…”
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    Journal Article
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    A voxel-wise assessment of growth differences in infants developing autism spectrum disorder by Cárdenas-de-la-Parra, A., Lewis, J.D., Fonov, V.S., Botteron, K.N., McKinstry, R.C., Gerig, G., Pruett, J.R., Dager, S.R., Elison, J.T., Styner, M.A., Evans, A.C., Piven, J., Collins, D.L

    Published in NeuroImage clinical (01-01-2021)
    “…•Pediatric neuroimaging study of Autism Spectrum Disorder.•Longitudinal Tensor Based Morphometry of the presymptomatic period of ASD.•Differences in voxelwise…”
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    Journal Article
  8. 8

    Unbiased nonlinear average age-appropriate brain templates from birth to adulthood by Fonov, VS, Evans, AC, McKinstry, RC, Almli, CR, Collins, DL

    Published in NeuroImage (Orlando, Fla.) (01-07-2009)
    “…Methods Data This work is based on three cohorts from two projects: two pediatric databases of younger (n=118, age 0-4.5y, 1x1x3mm T1w) and older (n=350, age…”
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    Journal Article
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    Identification of Pressure Measurement Systems based on Surface Stress Sensitive Films and Pressure Sensitive Paints by Fonov, S.D., Goss, L.P., Jones, E.G., Crafton, J.W., Fonov, V.S.

    “…This paper describes the methodology for extracting applied surface loads from Surface Stress Sensitive Films (S3F). Experimentally measured 3D deformations of…”
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    Conference Proceeding
  12. 12

    Mapping cortical thickness of early childhood brain using regression analysis by Lee, J, Fonov, VS, Evans, Alan

    Published in NeuroImage (Orlando, Fla.) (01-07-2009)
    “…A representative normative sample of 92 subjects (newborn to 4 years and 5 months of age, all were full term at birth) were recruited into Objective-2 of the…”
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    Journal Article
  13. 13

    Mapping brain growth of early childhood using deformation based morphometry by Lee, J, Fonov, VS, Evans, Alan

    Published in NeuroImage (Orlando, Fla.) (01-07-2009)
    “…Age effects in growth patterns are studied by fitting a voxel-wise nonlinear regression model over the Jacobian matrix maps, with a Jacobian value as dependent…”
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    Journal Article
  14. 14

    Voxel-wise T2 relaxometry of Normal Pediatric Brain Development by Fonov, VS, Lepopert, IR, Pike, GB, Collins, DL

    Published in NeuroImage (Orlando, Fla.) (01-07-2009)
    “…Here, data from an NIH-sponsored multi-center study of Normal Brain Development (NIH pediatric database [Almli 2007]) was used to perform automatic voxel-level…”
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    Journal Article
  15. 15

    The Effect of Age-specific Brain Template on Morphometric Analysis of Pediatric Brain Data by Yoon, U., Fonov, V.S, Perusse, D., Evans, A.C.

    Published in NeuroImage (Orlando, Fla.) (01-07-2009)
    “…The present study investigated the effect of age-specific pediatric brain template on the morphometric analysis of a pediatric brain MRI database obtained from…”
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    Journal Article
  16. 16

    Using Surface Stress Sensitive Films for Pressure and Friction Measurements in Mini- and Micro-Channels by Fonov, S.D., Jones, E.G., Crafton, J.W., Goss, L.P.

    “…The main goal of this work is the development of a calibration tool for friction gauges based on Surface Stress Sensitive Films. Good agreement between S3F…”
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    Conference Proceeding