Literature DB >> 34040278

MRI correlates of chronic symptoms in mild traumatic brain injury.

Cailey I Kerley1, Kurt G Schilling2, Justin Blaber1, Beth Miller3, Allen Newton2, Adam W Anderson2, Bennett A Landman1,4,5, Tonia S Rex3.   

Abstract

Some veterans with a history of mild traumatic brain injury (mTBI) have reported experiencing auditory and visual dysfunction that persist beyond the acute phase of the incident. The etiology behind these symptoms is difficult to characterize, since mTBI is defined by negative imaging findings on current clinical imaging. There are several competing hypotheses that could explain functional deficits; one example is shear injury, which may manifest in diffusion-weighted magnetic resonance (MR) imaging (DWI). Herein, we explore this alternative hypothesis in a pilot study of multi-parametric MR imaging. Briefly, we consider a cohort of 8 mTBI patients relative to 22 control subjects using structural T1-weighted imaging (T1w) and connectivity with DWI. 1,344 metrics were extracted per subject from whole brain regions and connectivity patterns in sensory networks. For each set of imaging-derived metrics, the control subject metrics were embedded in a low-dimensional manifold with principal component analysis, after which mTBI subject metrics were projected into the same space. These manifolds were employed to train support vector machines (SVM) to classify subjects as controls or mTBI. Two of the SVMs trained achieved near-perfect accuracy averaged across four-fold cross-validation. Additionally, we present correlations between manifold dimensions and 22 self-reported mTBI symptoms and find that five principal components from the manifolds (one component from the T1w manifold and four components from the DWI manifold) are significantly correlated with symptoms (p<0.05, uncorrected). The novelty of this work is that the DWI and T1w imaging metrics seem to contain information critical for distinguishing between mTBI and control subjects. This work presents an analysis of the pilot phase of data collection of the Quantitative Evaluation of Visual and Auditory Dysfunction and Multi-Sensory Integration in Complex TBI Patients study and defines specific hypotheses to be tested in the full sample.

Entities:  

Keywords:  MRI; mild traumatic brain injury; principal component analysis; support vector machine

Year:  2020        PMID: 34040278      PMCID: PMC8148089          DOI: 10.1117/12.2549493

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  10 in total

1.  Anatomically-constrained tractography: improved diffusion MRI streamlines tractography through effective use of anatomical information.

Authors:  Robert E Smith; Jacques-Donald Tournier; Fernando Calamante; Alan Connelly
Journal:  Neuroimage       Date:  2012-06-13       Impact factor: 6.556

2.  Mild traumatic brain injury in U.S. Soldiers returning from Iraq.

Authors:  Charles W Hoge; Dennis McGurk; Jeffrey L Thomas; Anthony L Cox; Charles C Engel; Carl A Castro
Journal:  N Engl J Med       Date:  2008-01-30       Impact factor: 91.245

3.  Sulcal Depth-based Cortical Shape Analysis in Normal Healthy Control and Schizophrenia Groups.

Authors:  Ilwoo Lyu; Hakmook Kang; Neil D Woodward; Bennett A Landman
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-03

4.  SIFT: Spherical-deconvolution informed filtering of tractograms.

Authors:  Robert E Smith; Jacques-Donald Tournier; Fernando Calamante; Alan Connelly
Journal:  Neuroimage       Date:  2012-12-11       Impact factor: 6.556

Review 5.  MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation.

Authors:  J-Donald Tournier; Robert Smith; David Raffelt; Rami Tabbara; Thijs Dhollander; Maximilian Pietsch; Daan Christiaens; Ben Jeurissen; Chun-Hung Yeh; Alan Connelly
Journal:  Neuroimage       Date:  2019-08-29       Impact factor: 6.556

6.  Methodological issues and research recommendations for prognosis after mild traumatic brain injury: results of the International Collaboration on Mild Traumatic Brain Injury Prognosis.

Authors:  Vicki L Kristman; Jörgen Borg; Alison K Godbolt; L Rachid Salmi; Carol Cancelliere; Linda J Carroll; Lena W Holm; Catharina Nygren-de Boussard; Jan Hartvigsen; Uko Abara; James Donovan; J David Cassidy
Journal:  Arch Phys Med Rehabil       Date:  2014-03       Impact factor: 3.966

7.  Statistical label fusion with hierarchical performance models.

Authors:  Andrew J Asman; Alexander S Dagley; Bennett A Landman
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2014-03-21

8.  Consistent cortical reconstruction and multi-atlas brain segmentation.

Authors:  Yuankai Huo; Andrew J Plassard; Aaron Carass; Susan M Resnick; Dzung L Pham; Jerry L Prince; Bennett A Landman
Journal:  Neuroimage       Date:  2016-05-13       Impact factor: 6.556

9.  Heterogeneity of brain lesions in pediatric traumatic brain injury.

Authors:  Erin D Bigler; Tracy J Abildskov; Joann Petrie; Thomas J Farrer; Maureen Dennis; Nevena Simic; H Gerry Taylor; Kenneth H Rubin; Kathryn Vannatta; Cynthia A Gerhardt; Terry Stancin; Keith Owen Yeates
Journal:  Neuropsychology       Date:  2013-07       Impact factor: 3.295

10.  An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging.

Authors:  Jesper L R Andersson; Stamatios N Sotiropoulos
Journal:  Neuroimage       Date:  2015-10-20       Impact factor: 6.556

  10 in total
  1 in total

1.  Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury.

Authors:  Cailey I Kerley; Leon Y Cai; Chang Yu; Logan M Crawford; Jason M Elenberger; Eden S Singh; Kurt G Schilling; Katherine S Aboud; Bennett A Landman; Tonia S Rex
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2021-02-15
  1 in total

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