Single Mild Traumatic Brain Injury Deteriorates Progressive Interhemispheric Functional and Structural Connectivity

Wang, Zhuonan; Zhang, Ming; Sun, Chuanzhu; Wang, Shan; Cao, Jieli; Wang, Kevin; Gan, Shuoqiu; We, Huang; Niu, Xuan; Zhu, Yanan; Sun, Yingxiang; Bai, Lijun

doi:10.1089/neu.2018.6196

Cited by 28 publications

(21 citation statements)

References 70 publications

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“…48 The structural connectivity of the CC is composed of the inter-hemispheric fibers traversing the subcortical white matter, which mediates the inter-hemispheric function connectivity. 14,15 Thus, the participants with LA who also presented with CC abnormality may develop a more severe form of cognitive impairments. CC mediates the dorsal-ventral pathway of visual-spatial systems.…”

Section: Discussionmentioning

confidence: 99%

“…The corpus callosum (CC) is a common target for investigating changes in VaD, given that it has a central role in the interhemispheric connectivity and coordination of cognitive function, as well as the highly topographic organization of its projections 13,14 . Specific changes in white matter integrity and structural changes in this region have been detected in an individual with dementia and LA 15‐17 .…”

Section: Introductionmentioning

confidence: 99%

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Corpus callosum integrity loss predicts cognitive impairment in Leukoaraiosis

Wang

Bai

Liu

et al. 2020

Ann Clin Transl Neurol

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Objective: To investigate regional white matter fibers loss in Leukoaraiosis (LA) and its relationship with cognitive impairments. Methods: Fifty-six participants with LA and 38 healthy controls underwent clinical evaluations and MR scans. Participants with LA were classified as cognitively normal (LA-NC, n = 18), vascular cognitive impairment of none dementia (LA-VCIND, n = 24), and vascular dementia (LA-VaD, n = 14) by Mini-Mental State Examination and Clinical Dementia Rating. Cognitive domains including visual-spatial, naming, attention, language, abstraction, memory, and orientation were assessed. With the use of Tract-based spatial statistics, mean fractional anisotropy (FA) of major white matter fiber tracts were compared between LA and controls and among LA groups with varying levels of cognitive impairments. Regression analyses were performed to evaluate relationships between FA values and cognitive performance. Results: Participants showed significant FA reduction in the corpus callosum (CC), bilateral corona radiata, anterior limb of the internal capsule, external capsule, posterior thalamic radiation, and superior longitudinal fasciculus compared to controls and across LA groups. The LA-VaD group showed consistent damage in the body and genu of CC compared to the LA-NC and LA-VCIND groups. A positive correlation between visualspatial and FA reduction in right anterior corona radiates in LA-VCIND and body of CC in LA-VaD. Interpretation: We found regional fiber loss in the CC across the cognitive spectrum in patients with LA and correlations between FA and visuospatial impairment in the anterior corona radiata in patients with LA-VCIND and in the body of CC in patients with LA-VaD.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Corpus callosum integrity loss predicts cognitive impairment in Leukoaraiosis

Wang

Bai

Liu

et al. 2020

Ann Clin Transl Neurol

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“…In the past few years, our research group has followed a relatively large sample of civilian mild TBI and acquired various measurements of their neuropsychological function, brain imaging and blood serum (Niu et al, 2019; Wang et al, 2019; Xu et al, 2018). We have identified several cognitive and brain abnormalities in the group level, but we never combined these into an integrated biological signature that could be used at the individual level.…”

Section: Introductionmentioning

confidence: 99%

Strategic white matter injury associated with long‐term information processing speed deficits in mild traumatic brain injury

Bai

Wang

et al. 2020

Human Brain Mapping

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Deficits in information processing speed (IPS) are among the earliest and most prominent cognitive manifestations in mild traumatic brain injury (mTBI). We investigated the impact of white matter fiber location on IPS outcome in an individual basis assessment. A total of 112 acute mild TBI with all CT negative underwent brain DTI and blood sampling for inflammation cytokines within 7 days postinjury and 72 age‐ and sex matched healthy controls with same assessments were enrolled. IPS outcome was assessed by the trail making test at 6–12 month postinjury in mild TBI. Fractional anisotropy (FA) features were extracted using a novel lesion‐load analytical strategy to capture spatially heterogeneous white matter injuries and minimize implicit assumptions of uniform injury across diverse clinical presentations. Acute mild TBI exhibited a general pattern of increased and decreased FA in specific white matter tracts. The power of acute FA measures to identify patients developing IPS deficits with 92% accuracy and further improved to 96% accuracy by adding inflammation cytokines. The classifiers predicted individual's IPS and working memory ratings (r = .74 and .80, respectively, p < .001). The thalamo‐cortical circuits and commissural tracts projecting or connecting frontal regions became important predictors. This prognostic model was also verified by an independent replicate sample. Our findings highlighted damage to frontal interhemispheric and thalamic projection fiber tracts harboring frontal‐subcortical neuronal circuits as a predictor for processing speed performance in mild TBI.

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“…For example, Zhu et al (2015) found that the structural connectivity of the network was unchanged between 24 h and 30 days after concussion. However, on a longer timescale, Wang et al (2019) found a deterioration in interhemispheric connectivity between 14 days and 1 year after concussion. Our approach used a simple binary deletion scheme -the node and its connections were completely deleted.…”

Section: Discussionmentioning

confidence: 91%

Predicting Concussion Outcome by Integrating Finite Element Modeling and Network Analysis

Anderson

Giudice

et al. 2020

Front. Bioeng. Biotechnol.

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Concussion is a significant public health problem affecting 1.6-2.4 million Americans annually. An alternative to reducing the burden of concussion is to reduce its incidence with improved protective equipment and injury mitigation systems. Finite element (FE) models of the brain response to blunt trauma are often used to estimate injury potential and can lead to improved helmet designs. However, these models have yet to incorporate how the patterns of brain connectivity disruption after impact affects the relay of information in the injured brain. Furthermore, FE brain models typically do not consider the differences in individual brain structural connectivities and their purported role in concussion risk. Here, we use graph theory techniques to integrate brain deformations predicted from FE modeling with measurements of network efficiency to identify brain regions whose connectivity characteristics may influence concussion risk. We computed maximum principal strain in 129 brain regions using head kinematics measured from 53 professional football impact reconstructions that included concussive and non-concussive cases. In parallel, using diffusion spectrum imaging data from 30 healthy subjects, we simulated structural lesioning of each of the same 129 brain regions. We simulated lesioning by removing each region one at a time along with all its connections. In turn, we computed the resultant change in global efficiency to identify regions important for network communication. We found that brain regions that deformed the most during an impact did not overlap with regions most important for network communication (Pearson's correlation, ρ = 0.07; p = 0.45). Despite this dissimilarity, we found that predicting concussion incidence was equally accurate when considering either areas of high strain or of high importance to global efficiency. Interestingly, accuracy for concussion prediction varied considerably across the 30 healthy connectomes. These results suggest that individual network structure is an important confounding variable in concussion prediction and that further investigation of its role may improve concussion prediction and lead to the development of more effective protective equipment.

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Single Mild Traumatic Brain Injury Deteriorates Progressive Interhemispheric Functional and Structural Connectivity

Cited by 28 publications

References 70 publications

Corpus callosum integrity loss predicts cognitive impairment in Leukoaraiosis

Corpus callosum integrity loss predicts cognitive impairment in Leukoaraiosis

Strategic white matter injury associated with long‐term information processing speed deficits in mild traumatic brain injury

Predicting Concussion Outcome by Integrating Finite Element Modeling and Network Analysis

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