ArticlePloS one2013
Characterizing brain structures and remodeling after TBI based on information content, diffusion entropy.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 23 citations in OpenAlex.
- Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis.Magma (New York, N.Y.) · 2025Article
- Distinct characteristics and severity of brain magnetic resonance imaging lesions in women and men with multiple sclerosis assessed using verified texture analysis measures.Frontiers in neurology · 2023Article
- Diffusion MR imaging acquisition and analytics for microstructural delineation in pre-clinical models of TBI.Journal of neuroscience research · 2022Review
- White Matter Injury After Intracerebral Hemorrhage.Frontiers in neurology · 2021Review
- White Matter Injury in Early Brain Injury after Subarachnoid Hemorrhage.Cell transplantation · 2019Review
- Diffusion MRI and the detection of alterations following traumatic brain injury.Journal of neuroscience research · 2018Review
- White matter changes in patients with mild traumatic brain injury: MRI perspective.Concussion (London, England) · 2017Review
- [Research progress of CT/MRI parametric response map in precision evaluation of therapeutic response of cancer patients].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2017Review
- Diffusion tensor imaging as a prognostic biomarker for motor recovery and rehabilitation after stroke.Neuroradiology · 2017Review
- White matter changes after stroke in type 2 diabetic rats measured by diffusion magnetic resonance imaging.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2017Article
- Diffusion-Derived Magnetic Resonance Imaging Measures of Longitudinal Microstructural Remodeling Induced by Marrow Stromal Cell Therapy after Traumatic Brain Injury.Journal of neurotrauma · 2017Article
- Traumatic Brain Injury and Neuronal Functionality Changes in Sensory Cortex.Frontiers in systems neuroscience · 2016Review
- Recent imaging advances in neurology.Journal of neurology · 2015Article
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Authors and funding
14 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundTo overcome the limitations of conventional diffusion tensor magnetic resonance imaging resulting from the assumption of a Gaussian diffusion model for characterizing voxels containing multiple axonal orientations, Shannon's entropy was employed to evaluate white matter structure in human brain and in brain remodeling after traumatic brain injury (TBI) in a rat.
methodsThirteen healthy subjects were investigated using a Q-ball based DTI data sampling scheme. FA and entropy values were measured in white matter bundles, white matter fiber crossing areas, different gray matter (GM) regions and cerebrospinal fluid (CSF). Axonal densities' from the same regions of interest (ROIs) were evaluated in Bielschowsky and Luxol fast blue stained autopsy (n = 30) brain sections by light microscopy. As a case demonstration, a Wistar rat subjected to TBI and treated with bone marrow stromal cells (MSC) 1 week after TBI was employed to illustrate the superior ability of entropy over FA in detecting reorganized crossing axonal bundles as confirmed by histological analysis with Bielschowsky and Luxol fast blue staining.
resultsUnlike FA, entropy was less affected by axonal orientation and more affected by axonal density. A significant agreement (r = 0.91) was detected between entropy values from in vivo human brain and histologically measured axonal density from post mortum from the same brain structures. The MSC treated TBI rat demonstrated that the entropy approach is superior to FA in detecting axonal remodeling after injury. Compared with FA, entropy detected new axonal remodeling regions with crossing axons, confirmed with immunohistological staining.
conclusionsEntropy measurement is more effective in distinguishing axonal remodeling after injury, when compared with FA. Entropy is also more sensitive to axonal density than axonal orientation, and thus may provide a more accurate reflection of axonal changes that occur in neurological injury and disease.
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