An Activatable NIR‐II Nanoprobe for In Vivo Early Real‐Time Diagnosis of Traumatic Brain Injury

2019 ◽  
Vol 59 (1) ◽  
pp. 247-252 ◽  
Author(s):  
Chunyan Li ◽  
Wanfei Li ◽  
Huanhuan Liu ◽  
Yejun Zhang ◽  
Guangcun Chen ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Real Time ◽  
Time Diagnosis

An Activatable NIR‐II Nanoprobe for In Vivo Early Real‐Time Diagnosis of Traumatic Brain Injury

2019 ◽  
Vol 132 (1) ◽  
pp. 253-258 ◽  
Author(s):  
Chunyan Li ◽  
Wanfei Li ◽  
Huanhuan Liu ◽  
Yejun Zhang ◽  
Guangcun Chen ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Real Time ◽  
Time Diagnosis

scholarly journals Using the Olfactory System as an In Vivo Model To Study Traumatic Brain Injury and Repair

2014 ◽  
Vol 31 (14) ◽  
pp. 1277-1291 ◽  
Author(s):  
Elizabeth Steuer ◽  
Michele L. Schaefer ◽  
Leonardo Belluscio
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Olfactory System ◽  
In Vivo Model ◽  
Injury And Repair

scholarly journals In vivo imaging of rapid deformation and strain in an animal model of traumatic brain injury

2006 ◽  
Vol 39 (6) ◽  
pp. 1086-1095 ◽  
Author(s):  
Philip V. Bayly ◽  
Erin E. Black ◽  
Rachel C. Pedersen ◽  
Elizabeth P. Leister ◽  
Guy M. Genin
Keyword(s):  
Traumatic Brain Injury ◽  
Animal Model ◽  
Brain Injury ◽  
In Vivo Imaging ◽  
Rapid Deformation

A Machine Learning Approach for Predicting Real-time Risk of Intraoperative Hypotension in Traumatic Brain Injury

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Shara I. Feld ◽  
Daniel S. Hippe ◽  
Ljubomir Miljacic ◽  
Nayak L. Polissar ◽  
Shu-Fang Newman ◽  
...  
Keyword(s):  
Machine Learning ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Real Time ◽  
Learning Approach ◽  
Intraoperative Hypotension ◽  
Machine Learning Approach

scholarly journals Traumatic brain injury to primary visual cortex produces long-lasting circuit dysfunction

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Jan C. Frankowski ◽  
Andrzej T. Foik ◽  
Alexa Tierno ◽  
Jiana R. Machhor ◽  
David C. Lyon ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Visual Cortex ◽  
Brain Injury ◽  
Primary Visual Cortex ◽  
Visual Stimuli ◽  
Orientation Tuning ◽  
V1 Neurons ◽  
Adult Mice ◽  
Electrophysiological Recordings

AbstractPrimary sensory areas of the mammalian neocortex have a remarkable degree of plasticity, allowing neural circuits to adapt to dynamic environments. However, little is known about the effects of traumatic brain injury on visual circuit function. Here we used anatomy and in vivo electrophysiological recordings in adult mice to quantify neuron responses to visual stimuli two weeks and three months after mild controlled cortical impact injury to primary visual cortex (V1). We found that, although V1 remained largely intact in brain-injured mice, there was ~35% reduction in the number of neurons that affected inhibitory cells more broadly than excitatory neurons. V1 neurons showed dramatically reduced activity, impaired responses to visual stimuli and weaker size selectivity and orientation tuning in vivo. Our results show a single, mild contusion injury produces profound and long-lasting impairments in the way V1 neurons encode visual input. These findings provide initial insight into cortical circuit dysfunction following central visual system neurotrauma.

scholarly journals Traumatic Brain Injury as a Disorder of Brain Connectivity

2016 ◽  
Vol 22 (2) ◽  
pp. 120-137 ◽  
Author(s):  
Jasmeet P. Hayes ◽  
Erin D. Bigler ◽  
Mieke Verfaellie
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
White Matter ◽  
Functional Connectivity ◽  
Negative Impact ◽  
Axonal Injury ◽  
Resting State Functional Connectivity ◽  
Post Injury ◽  
Recent Advances

AbstractObjectives: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. (JINS, 2016,22, 120–137)

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