Literature DB >> 22684769

Robust detection of traumatic axonal injury in individual mild traumatic brain injury patients: intersubject variation, change over time and bidirectional changes in anisotropy.

Michael L Lipton1, Namhee Kim, Young K Park, Miriam B Hulkower, Tova M Gardin, Keivan Shifteh, Mimi Kim, Molly E Zimmerman, Richard B Lipton, Craig A Branch.   

Abstract

To identify and characterize otherwise occult inter-individual spatial variation of white matter abnormalities across mild traumatic brain injury (mTBI) patients. After informed consent and in compliance with Health Insurance Portability and Accountability Act (HIPAA), Diffusion tensor imaging (DTI) was performed on a 3.0 T MR scanner in 34 mTBI patients (19 women; 19-64 years old) and 30 healthy control subjects. The patients were imaged within 2 weeks of injury, 3 months after injury, and 6 months after injury. Fractional anisotropy (FA) images were analyzed in each patient. To examine white matter diffusion abnormalities across the entire brain of individual patients, we applied Enhanced Z-score Microstructural Assessment for Pathology (EZ-MAP), a voxelwise analysis optimized for the assessment of individual subjects. Our analysis revealed areas of abnormally low or high FA (voxel-wise P-value < 0.05, cluster-wise P-value < 0.01(corrected for multiple comparisons)). The spatial pattern of white matter FA abnormalities varied among patients. Areas of low FA were consistent with known patterns of traumatic axonal injury. Areas of high FA were most frequently detected in the deep and subcortical white matter of the frontal, parietal, and temporal lobes, and in the anterior portions of the corpus callosum. The number of both abnormally low and high FA voxels changed during follow up. Individual subject assessments reveal unique spatial patterns of white matter abnormalities in each patient, attributable to inter-individual differences in anatomy, vulnerability to injury and mechanism of injury. Implications of high FA remain unclear, but may evidence a compensatory mechanism or plasticity in response to injury, rather than a direct manifestation of brain injury.

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Year:  2012        PMID: 22684769     DOI: 10.1007/s11682-012-9175-2

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  57 in total

1.  A preliminary investigation of cognitive intolerance and neuroimaging among adolescents returning to school after concussion.

Authors:  John G Baker; Barry S Willer; Michael G Dwyer; John J Leddy
Journal:  Brain Inj       Date:  2020-04-23       Impact factor: 2.311

2.  The Network Modification (NeMo) Tool: elucidating the effect of white matter integrity changes on cortical and subcortical structural connectivity.

Authors:  Amy Kuceyeski; Jun Maruta; Norman Relkin; Ashish Raj
Journal:  Brain Connect       Date:  2013

Review 3.  Neuroimaging biomarkers in mild traumatic brain injury (mTBI).

Authors:  Erin D Bigler
Journal:  Neuropsychol Rev       Date:  2013-08-24       Impact factor: 7.444

4.  Longitudinal MR Spectroscopy Shows Altered Metabolism in Traumatic Brain Injury.

Authors:  Andrew A Maudsley; Varan Govind; Gaurav Saigal; Stuart G Gold; Leo Harris; Sulaiman Sheriff
Journal:  J Neuroimaging       Date:  2017-07-23       Impact factor: 2.486

5.  Inter-Subject Variability of Axonal Injury in Diffuse Traumatic Brain Injury.

Authors:  Jeffrey B Ware; Tessa Hart; John Whyte; Amanda Rabinowitz; John A Detre; Junghoon Kim
Journal:  J Neurotrauma       Date:  2017-05-03       Impact factor: 5.269

6.  Potholes and molehills: bias in the diagnostic performance of diffusion-tensor imaging in concussion.

Authors:  Richard Watts; Alex Thomas; Christopher G Filippi; Joshua P Nickerson; Kalev Freeman
Journal:  Radiology       Date:  2014-03-14       Impact factor: 11.105

7.  A longitudinal diffusion tensor imaging study assessing white matter fiber tracts after sports-related concussion.

Authors:  Murali Murugavel; Valerie Cubon; Margot Putukian; Ruben Echemendia; Javier Cabrera; Daniel Osherson; Annegret Dettwiler
Journal:  J Neurotrauma       Date:  2014-09-23       Impact factor: 5.269

8.  Methods for identifying subject-specific abnormalities in neuroimaging data.

Authors:  Andrew R Mayer; Edward J Bedrick; Josef M Ling; Trent Toulouse; Andrew Dodd
Journal:  Hum Brain Mapp       Date:  2014-06-13       Impact factor: 5.038

9.  Diffusion tensor imaging for outcome prediction in mild traumatic brain injury: a TRACK-TBI study.

Authors:  Esther L Yuh; Shelly R Cooper; Pratik Mukherjee; John K Yue; Hester F Lingsma; Wayne A Gordon; Alex B Valadka; David O Okonkwo; David M Schnyer; Mary J Vassar; Andrew I R Maas; Geoffrey T Manley
Journal:  J Neurotrauma       Date:  2014-07-09       Impact factor: 5.269

10.  Bi-directional changes in fractional anisotropy after experiment TBI: Disorganization and reorganization?

Authors:  N G Harris; D R Verley; B A Gutman; R L Sutton
Journal:  Neuroimage       Date:  2016-03-11       Impact factor: 6.556

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