scholarly journals Stuck in a State of Inattention? Functional Hyperconnectivity as an Indicator of Disturbed Intrinsic Brain Dynamics in Adolescents With Concussion: A Pilot Study

ASN NEURO ◽  
2018 ◽  
Vol 10 ◽  
pp. 175909141775380 ◽  
Author(s):  
Angela M. Muller ◽  
Naznin Virji-Babul
Keyword(s):  
Diffusion Tensor Imaging ◽  
Pilot Study ◽  
Resting State ◽  
Diffusion Tensor ◽  
Brain Dynamics ◽  
Public Health Issue ◽  
Brain Correlates ◽  
Brain States ◽  
The Brain ◽  
Structural Brain

Sports-related concussion in youth is a major public health issue. Evaluating the diffuse and often subtle changes in structure and function that occur in the brain, particularly in this population, remains a significant challenge. The goal of this pilot study was to evaluate the relationship between the intrinsic dynamics of the brain using resting-state functional magnetic resonance imaging (rs-fMRI) and relate these findings to structural brain correlates from diffusion tensor imaging in a group of adolescents with sports-related concussions ( n = 6) and a group of healthy adolescent athletes ( n = 6). We analyzed rs-fMRI data using a sliding windows approach and related the functional findings to structural brain correlates by applying graph theory analysis to the diffusion tensor imaging data. Within the resting-state condition, we extracted three separate brain states in both groups. Our analysis revealed that the brain dynamics in healthy adolescents was characterized by a dynamic pattern, shifting equally between three brain states; however, in adolescents with concussion, the pattern was more static with a longer time spent in one brain state. Importantly, this lack of dynamic flexibility in the concussed group was associated with increased nodal strength in the left middle frontal gyrus, suggesting reorganization in a region related to attention. This preliminary report shows that both the intrinsic brain dynamics and structural organization are altered in networks related to attention in adolescents with concussion. This first report in adolescents will be used to inform future studies in a larger cohort.

Diffusion Tensor Imaging Shows Structural Remodeling of Stroke Mirror Region: Results from a Pilot Study

2012 ◽  
Vol 67 (6) ◽  
pp. 370-376 ◽  
Author(s):  
Cristina Granziera ◽  
Hakan Ay ◽  
Susan P. Koniak ◽  
Gunnar Krueger ◽  
A. Gregory Sorensen
Keyword(s):  
Diffusion Tensor Imaging ◽  
Pilot Study ◽  
Diffusion Tensor ◽  
Structural Remodeling ◽  
Mirror Region

scholarly journals Structural control energy of resting‐state functional brain states reveals less cost‐effective brain dynamics in psychosis vulnerability

2021 ◽  
Vol 42 (7) ◽  
pp. 2181-2200
Author(s):  
Daniela Zöller ◽  
Corrado Sandini ◽  
Marie Schaer ◽  
Stephan Eliez ◽  
Danielle S. Bassett ◽  
...  
Keyword(s):  
Resting State ◽  
Structural Control ◽  
Cost Effective ◽  
Brain Dynamics ◽  
Functional Brain ◽  
Brain States

scholarly journals Abnormalities in the brain of streptozotocin-induced type 1 diabetic rats revealed by diffusion tensor imaging

2012 ◽  
Vol 1 (1) ◽  
pp. 57-65 ◽  
Author(s):  
Mingming Huang ◽  
Lifeng Gao ◽  
Liqin Yang ◽  
Fuchun Lin ◽  
Hao Lei
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Diabetic Rats ◽  
The Brain

scholarly journals Integrative Structural Brain Network Analysis in Diffusion Tensor Imaging

2017 ◽  
Vol 7 (6) ◽  
pp. 331-346 ◽  
Author(s):  
Moo K. Chung ◽  
Jamie L. Hanson ◽  
Nagesh Adluru ◽  
Andrew L. Alexander ◽  
Richard J. Davidson ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Network Analysis ◽  
Diffusion Tensor ◽  
Brain Network ◽  
Structural Brain Network ◽  
Structural Brain

scholarly journals Local and Distant responses to single pulse electrical stimulation reflect different forms of connectivity

2020 ◽  
Author(s):  
Britni Crocker ◽  
Lauren Ostrowski ◽  
Ziv M. Williams ◽  
Darin D. Dougherty ◽  
Emad N. Eskandar ◽  
...  
Keyword(s):  
Electrical Stimulation ◽  
Resting State ◽  
Diffusion Tensor ◽  
Effective Connectivity ◽  
Clinical Care ◽  
Structural Connectivity ◽  
Intractable Epilepsy ◽  
Single Pulse ◽  
Intracranial Electrode ◽  
The Brain

AbstractBackgroundMeasuring connectivity in the human brain can involve innumerable approaches using both noninvasive (fMRI, EEG) and invasive (intracranial EEG or iEEG) recording modalities, including the use of external probing stimuli, such as direct electrical stimulation.Objective/HypothesisTo examine how different measures of connectivity correlate with one another, we compared ‘passive’ measures of connectivity during resting state conditions map to the more ‘active’ probing measures of connectivity with single pulse electrical stimulation (SPES).MethodsWe measured the network engagement and spread of the cortico-cortico evoked potential (CCEP) induced by SPES at 53 total sites across the brain, including cortical and subcortical regions, in patients with intractable epilepsy (N=11) who were undergoing intracranial recordings as a part of their clinical care for identifying seizure onset zones. We compared the CCEP network to functional, effective, and structural measures of connectivity during a resting state in each patient. Functional and effective connectivity measures included correlation or Granger causality measures applied to stereoEEG (sEEGs) recordings. Structural connectivity was derived from diffusion tensor imaging (DTI) acquired before intracranial electrode implant and monitoring (N=8).ResultsThe CCEP network was most similar to the resting state voltage correlation network in channels near to the stimulation location. In contrast, the distant CCEP network was most similar to the DTI network. Other connectivity measures were not as similar to the CCEP network.ConclusionsThese results demonstrate that different connectivity measures, including those derived from active stimulation-based probing, measure different, complementary aspects of regional interrelationships in the brain.

scholarly journals Quantitative Analysis of Diffusion Tensor Imaging in Chronic Hepatitis in Rats

2020 ◽  
Author(s):  
Mengping Huang ◽  
Xin Lu ◽  
Xiaofeng Wang ◽  
Jian Shu
Keyword(s):  
Chronic Hepatitis ◽  
Diffusion Tensor Imaging ◽  
Liver Fibrosis ◽  
Diffusion Tensor ◽  
Control Group ◽  
Sprague Dawley ◽  
Subcutaneous Injections ◽  
Sprague Dawley Rats ◽  
Pathological Stages ◽  
The Brain

Abstract Background Diffusion tensor imaging (DTI) is mainly used for detecting white matter fiber in the brain. From this, DTI has been applied to assess fiber in liver disorders by prior studies. But non-sufficient data has been obtained if DTI could be used for exactly staging chronic hepatitis. This study is to assess the value of DTI for staging of liver fibrosis (F), necroinflammatory activity (A), and steatosis (S) of chronic hepatitis in rats. Methods Seventy male Sprague-Dawley rats were divided into control group(n = 10) and experimental group(n = 60). The rat models of chronic hepatitis were established by abdominal subcutaneous injections of 40% CCl4. All rats underwent 3.0T MRI. ROIs were placed on DTI to estimate MR parameters (rADC value and FA value). Histopathology was the reference standard. Multiple linear regression was used to analyze the association between MR parameters and pathology. The differences in rADC value and FA value among pathological stages were evaluated by MANOVA or ANOVA. LSD was used to test the differences between each two groups. ROC analysis was performed. Results The numbers of each pathology were as follows: F0(n = 15), F1(n = 11), F2(n = 6), F3(n = 9), F4(n = 6); A0(n = 8), A1(n = 16), A2(n = 16), A3(n = 7); S0(n = 10), S1(n = 7), S2(n = 3), S3(n = 11), S4(n = 16). The rADC value had a negative correlation with liver fibrosis (r=-0.392, P = 0.008) and inflammation (r=-0.359, P = 0.015). FA value had a positive correlation with fibrosis (r = 0.409, P = 0.005). Significant differences were found in FA value between F4 and F0 ~ F3 (P = 0.03), while no significant differences among F0 ~ F3 were found (P > 0.05). AUC of FA value in differentiating F4 from F0 ~ F3 was 0.909(p < 0.001) with 83.3% Sensitivity, 85.4% specificity when the FA value was at the cut-off of 588.089(× 10− 6mm2/s). Conclusion FA value for DTI can distinguish early cirrhosis from normal, mild and moderate liver fibrosis.

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