Quantitative analysis of brain microstructure following mild blunt and blast trauma

Begonia, Mark T.; Prabhu, Raj; Liao, Jun; Whittington, W.R.; Claude, Andrew; Willeford, Bridget V.; Wardlaw, Joanna M.; Wu, R.; Zhang, Shuping; Williams, Lakiesha N.

doi:10.1016/j.jbiomech.2014.09.026

Cited by 10 publications

(3 citation statements)

References 57 publications

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“…Others have suggested that such departures from the typical pattern of injury may reflect plasticity or other compensatory mechanisms (Lipton et al, 2012). Animal models have demonstrated that increased FA does occur following TBI, especially within the more mild range of injury (Begonia et al, 2014).…”

Section: Outstanding Issuesmentioning

confidence: 99%

Traumatic Brain Injury as a Disorder of Brain Connectivity

Hayes

Bigler

Verfaellie

2016

J Int Neuropsychol Soc

193

134

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Objectives Recent advances in neuroimaging methodologies sensitive to axonal injury have made it possible to assess in vivo the extent of traumatic brain injury (TBI) -related disruption in neural structures and their connections. The objective of this paper is to review studies examining connectivity in TBI with an emphasis on structural and functional MRI methods that have proven to be valuable in uncovering neural abnormalities associated with this condition. Methods We review studies that have examined white matter integrity in TBI of varying etiology and levels of severity, and consider how findings at different times post-injury may inform underlying mechanisms of post-injury progression and recovery. Moreover, in light of recent advances in neuroimaging methods to study the functional connectivity among brain regions that form integrated networks, we review TBI studies that use resting-state functional connectivity MRI methodology to examine neural networks disrupted by putative axonal injury. Results The findings suggest that TBI is associated with altered structural and functional connectivity, characterized by decreased integrity of white matter pathways and imbalance and inefficiency of functional networks. These structural and functional alterations are often associated with neurocognitive dysfunction and poor functional outcomes. Conclusions TBI has a negative impact on distributed brain networks that lead to behavioral disturbance.

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Section: Outstanding Issuesmentioning

confidence: 99%

Traumatic Brain Injury as a Disorder of Brain Connectivity

Hayes

Bigler

Verfaellie

2016

J Int Neuropsychol Soc

193

134

View full text Add to dashboard Cite

show abstract

“…Notably, the alteration in radial anisotropy displayed the largest effect size and were directly correlated with histological measures of axonal damage (Li et al, 2013 ; Tu et al, 2016 ; also in rat models). FA maps have demonstrated substantial microstructural abnormalities also in case of experimental blast injury in mouse (Rubovitch et al, 2011 ; Hutchinson et al, 2018 ; Venkatasubramanian et al, 2020 ; Weiss et al, 2020 ) as well as in rat models (Budde et al, 2013 ; Begonia et al, 2014 ; Kamnaksh et al, 2014 ; Zhuo et al, 2015 ; Tang et al, 2017 ; Badea et al, 2018 ; Missault et al, 2019 ; Mohamed et al, 2020 ; San Martín Molina et al, 2020 ). DTI appeared sensitive enough to detect changes even in mild TBI models (Hylin et al, 2013 ; Takeuchi et al, 2013 ; Long et al, 2015 ; Li et al, 2016 ; Herrera et al, 2017 ; Kikinis et al, 2017 ; Wendel et al, 2018 ; Hoogenboom et al, 2019 ) and in distant locations within the brain up to 1 year after injury (Pischiutta et al, 2018 ).…”

Section: Applications To Models Of Neurodegenerative Diseasesmentioning

confidence: 99%

Diffusion Tensor Imaging-Based Studies at the Group-Level Applied to Animal Models of Neurodegenerative Diseases

et al. 2020

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The understanding of human and non-human microstructural brain alterations in the course of neurodegenerative diseases has substantially improved by the non-invasive magnetic resonance imaging (MRI) technique of diffusion tensor imaging (DTI). Animal models (including disease or knockout models) allow for a variety of experimental manipulations, which are not applicable to humans. Thus, the DTI approach provides a promising tool for cross-species cross-sectional and longitudinal investigations of the neurobiological targets and mechanisms of neurodegeneration. This overview with a systematic review focuses on the principles of DTI analysis as used in studies at the group level in living preclinical models of neurodegeneration. The translational aspect from in-vivo animal models toward (clinical) applications in humans is covered as well as the DTI-based research of the non-human brains' microstructure, the methodological aspects in data processing and analysis, and data interpretation at different abstraction levels. The aim of integrating DTI in multiparametric or multimodal imaging protocols will allow the interrogation of DTI data in terms of directional flow of information and may identify the microstructural underpinnings of neurodegeneration-related patterns.

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“…One of the DTI parameters, fractional anisotropy (FA), has been shown to correlate with the level of inflammation [40][41][42], as well as microstructural integrity [40]. FA values both increase and decrease after traumatic brain injury (TBI) [43][44][45]. In patients with stroke FA values may be useful for prediction of cognitive functional outcomes [46] and can predict recovery of motor function after a stroke during the early subacute phase [47].…”

mentioning

confidence: 99%

Prevention of epileptogenesis as a future strategy for the treatment of epilepsy

Bragin

2019

Alʹm. klin. med.

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Epilepsy affects more than 70 million people worldwide. From 30 to 40% of the patients are resistant to existing medication. This paper describes the current state of the treatment of epilepsy and proposes a future approach to preventative treatment at earlier stages of epileptogenesis. For preventative treatment biomarkers are needed that predict the development of epilepsy at its earlier stages. Pathological high frequency oscillations are the only acceptable biomarker of epileptogenesis. However, the main limitation of this biomarker is the necessity of implanting of recording electrodes. The search for noninvasive biomarkers of epileptogenesis is one of the hot topics in epilepsy research. There are two potentially interesting directions in this area: search for inflammatory biomarkers in the peripheral blood and analysis of different parameters of imaging methods. In this paper we present approaches for identification of potential epileptogenesis biomarkers by magnetic resonance imaging. Some of magnetic resonance imaging parameters correlate with the existence of pathological high frequency oscillations, may indirectly reflect ongoing inflammation process in the brain and be potential biomarkers of epileptogenesis.

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Quantitative analysis of brain microstructure following mild blunt and blast trauma

Cited by 10 publications

References 57 publications

Traumatic Brain Injury as a Disorder of Brain Connectivity

Traumatic Brain Injury as a Disorder of Brain Connectivity

Diffusion Tensor Imaging-Based Studies at the Group-Level Applied to Animal Models of Neurodegenerative Diseases

Prevention of epileptogenesis as a future strategy for the treatment of epilepsy

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