Biomaterial Database

White Matter Tract Integrity: An Indicator of Axonal Pathology after Mild Traumatic Brain Injury. 2018

Sohae Chung, and Els Fieremans, and Xiuyuan Wang, and Nuri E Kucukboyaci, and Charles J Morton, and James Babb, and Prin Amorapanth, and Farng-Yang A Foo, and Dmitry S Novikov, and Steven R Flanagan, and Joseph F Rath, and Yvonne W Lui

1 Department of Radiology, Center for Advanced Imaging Innovation and Research, New York University School of Medicine , New York, New York.

We seek to elucidate the underlying pathophysiology of injury sustained after mild traumatic brain injury (mTBI) using multi-shell diffusion magnetic resonance imaging, deriving compartment-specific white matter tract integrity (WMTI) metrics. WMTI allows a more biophysical interpretation of white matter (WM) changes by describing microstructural characteristics in both intra- and extra-axonal environments. Thirty-two patients with mTBI within 30 days of injury and 21 age- and sex-matched controls were imaged on a 3 Tesla magnetic resonance scanner. Multi-shell diffusion acquisition was performed with five b-values (250-2500 sec/mm2) along 6-60 diffusion encoding directions. Tract-based spatial statistics (TBSS) was used with family-wise error (FWE) correction for multiple comparisons. TBSS results demonstrated focally lower intra-axonal diffusivity (Daxon) in mTBI patients in the splenium of the corpus callosum (sCC; p < 0.05, FWE-corrected). The area under the curve value for Daxon was 0.76 with a low sensitivity of 46.9% but 100% specificity. These results indicate that Daxon may be a useful imaging biomarker highly specific for mTBI-related WM injury. The observed decrease in Daxon suggests restriction of the diffusion along the axons occurring shortly after injury.

UI	MeSH Term	Description	Entries
D007090	Image Interpretation, Computer-Assisted	Methods developed to aid in the interpretation of ultrasound, radiographic images, etc., for diagnosis of disease.	Image Interpretation, Computer Assisted,Computer-Assisted Image Interpretation,Computer-Assisted Image Interpretations,Image Interpretations, Computer-Assisted,Interpretation, Computer-Assisted Image,Interpretations, Computer-Assisted Image
D008297	Male		Males
D008875	Middle Aged	An adult aged 45 - 64 years.	Middle Age
D001924	Brain Concussion	A nonspecific term used to describe transient alterations or loss of consciousness following closed head injuries. The duration of UNCONSCIOUSNESS generally lasts a few seconds, but may persist for several hours. Concussions may be classified as mild, intermediate, and severe. Prolonged periods of unconsciousness (often defined as greater than 6 hours in duration) may be referred to as post-traumatic coma (COMA, POST-HEAD INJURY). (From Rowland, Merritt's Textbook of Neurology, 9th ed, p418)	Cerebral Concussion,Commotio Cerebri,Concussion, Intermediate,Concussion, Mild,Concussion, Severe,Mild Traumatic Brain Injury,Brain Concussions,Cerebral Concussions,Concussion, Brain,Concussion, Cerebral,Intermediate Concussion,Intermediate Concussions,Mild Concussion,Mild Concussions,Severe Concussion,Severe Concussions
D005260	Female		Females
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328	Adult	A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available.	Adults
D001369	Axons	Nerve fibers that are capable of rapidly conducting impulses away from the neuron cell body.	Axon
D012680	Sensitivity and Specificity	Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed)	Specificity,Sensitivity,Specificity and Sensitivity
D055815	Young Adult	A person between 19 and 24 years of age.	Adult, Young,Adults, Young,Young Adults