scholarly journals White Matter Tract Integrity: An Indicator of Axonal Pathology after Mild Traumatic Brain Injury

2018 ◽  
Vol 35 (8) ◽  
pp. 1015-1020 ◽  
Author(s):  
Sohae Chung ◽  
Els Fieremans ◽  
Xiuyuan Wang ◽  
Nuri E. Kucukboyaci ◽  
Charles J. Morton ◽  
...  
2017 ◽  
Vol 34 (2) ◽  
pp. 291-299 ◽  
Author(s):  
Juan J. Herrera ◽  
Kurt Bockhorst ◽  
Shakuntala Kondraganti ◽  
Laura Stertz ◽  
João Quevedo ◽  
...  

2020 ◽  
Author(s):  
Michael R. Grovola ◽  
Nicholas Paleologos ◽  
Daniel P. Brown ◽  
Nathan Tran ◽  
Kathryn L. Wofford ◽  
...  

AbstractOver 2.8 million people experience mild traumatic brain injury (TBI) in the United States each year, which may lead to long-term neurological dysfunction. The mechanical forces that occur due to TBI propagate through the brain to produce diffuse axonal injury (DAI) and trigger secondary neuroinflammatory cascades. The cascades may persist from acute to chronic time points after injury, altering the homeostasis of the brain. However, the relationship between the hallmark axonal pathology of diffuse TBI and potential changes in glial cell activation or morphology have not been established in a clinically relevant large animal model at chronic time points. In this study, we assessed tissue from pigs subjected to rapid head rotation in the coronal plane to generate mild TBI. Neuropathological assessments for axonal pathology, microglial morphological changes, and astrocyte reactivity were conducted in specimens out to 1 year post injury. We detected an increase in overall amyloid precursor protein pathology, as well as periventricular white matter and fimbria/fornix pathology after a single mild TBI. We did not detect changes in corpus callosum integrity or astrocyte reactivity. However, detailed microglial skeletal analysis revealed changes in morphology, most notably increases in the number of microglial branches, junctions, and endpoints. These subtle changes were most evident in periventricular white matter and certain hippocampal subfields, and were observed out to 1 year post injury in some cases. These ongoing morphological alterations suggest persistent change in neuroimmune homeostasis. Additional studies are needed to characterize the underlying molecular and neurophysiological alterations, as well as potential contributions to neurological deficits.


2018 ◽  
Vol 14 ◽  
pp. 174480691881029 ◽  
Author(s):  
Albert Leung ◽  
Eric Yang ◽  
Michael Lim ◽  
Valerie Metzger-Smith ◽  
Rebecca Theilmann ◽  
...  

2021 ◽  
Author(s):  
Michael R. Grovola ◽  
Nicholas Paleologos ◽  
Daniel P. Brown ◽  
Nathan Tran ◽  
Kathryn L. Wofford ◽  
...  

Brain Injury ◽  
2016 ◽  
Vol 30 (12) ◽  
pp. 1501-1514 ◽  
Author(s):  
Ramtilak Gattu ◽  
Faith W. Akin ◽  
Anthony T. Cacace ◽  
Courtney D. Hall ◽  
Owen D. Murnane ◽  
...  

Brain ◽  
2014 ◽  
Vol 137 (7) ◽  
pp. 1876-1882 ◽  
Author(s):  
Tero Ilvesmäki ◽  
Teemu M. Luoto ◽  
Ullamari Hakulinen ◽  
Antti Brander ◽  
Pertti Ryymin ◽  
...  

2021 ◽  
Author(s):  
Paulo Branco ◽  
Noam Bosak ◽  
Jannis Bielefeld ◽  
Olivia Cong ◽  
Yelena Granovsky ◽  
...  

Mild traumatic brain injury, mTBI, is a leading cause of disability worldwide, with acute pain manifesting as one of its most debilitating symptoms. Understanding acute post-injury pain is important since it is a strong predictor of long-term outcomes. In this study, we imaged the brains of 172 patients with mTBI, following a motorized vehicle collision and used a machine learning approach to extract white matter structural and resting state fMRI functional connectivity measures to predict acute pain. Stronger white matter tracts within the sensorimotor, thalamic-cortical, and default-mode systems predicted 20% of the variance in pain severity within 72 hours of the injury. This result generalized in two independent groups: 39 mTBI patients and 13 mTBI patients without whiplash symptoms. White matter measures collected at 6-months after the collision still predicted mTBI pain at that timepoint (n = 36). These white-matter connections were associated with two nociceptive psychophysical outcomes tested at a remote body site – namely conditioned pain modulation and magnitude of suprathreshold pain–, and with pain sensitivity questionnaire scores. Our validated findings demonstrate a stable white-matter network, the properties of which determine a significant amount of pain experienced after acute injury, pinpointing a circuitry engaged in the transformation and amplification of nociceptive inputs to pain perception.


2016 ◽  
Vol 33 (22) ◽  
pp. 2000-2010 ◽  
Author(s):  
Elisabeth A. Wilde ◽  
Xiaoqi Li ◽  
Jill V. Hunter ◽  
Ponnada A. Narayana ◽  
Khader Hasan ◽  
...  

2019 ◽  
Vol 36 (4) ◽  
pp. 576-588 ◽  
Author(s):  
Benoit Mouzon ◽  
Corbin Bachmeier ◽  
Joseph Ojo ◽  
Christopher Acker ◽  
Scott Ferguson ◽  
...  

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