Brain functional connectivity and cognition in mild traumatic brain injury

2016 ◽  
Vol 58 (7) ◽  
pp. 733-739 ◽  
Author(s):  
K.L. Xiong ◽  
J.N. Zhang ◽  
Y.L. Zhang ◽  
Y. Zhang ◽  
H. Chen ◽  
...  
2019 ◽  
Vol 36 (5) ◽  
pp. 650-660 ◽  
Author(s):  
Radhika Madhavan ◽  
Suresh E. Joel ◽  
Rakesh Mullick ◽  
Taylor Cogsil ◽  
Sumit N. Niogi ◽  
...  

Neuroreport ◽  
2018 ◽  
Vol 29 (16) ◽  
pp. 1413-1417 ◽  
Author(s):  
Natalie S. Dailey ◽  
Ryan Smith ◽  
John R. Vanuk ◽  
Adam C. Raikes ◽  
William D.S. Killgore

Neurology ◽  
2019 ◽  
Vol 93 (14 Supplement 1) ◽  
pp. S26.2-S27
Author(s):  
Teena Shetty ◽  
Joseph Nguyen ◽  
Esther Kim ◽  
George Skulikidis ◽  
Matthew Garvey ◽  
...  

ObjectiveTo determine the utility of fractional amplitude of low frequency fluctuations (fALFF) during resting state fMRI (rs-fMRI) as an advanced neuroimaging biomarker for Mild Traumatic Brain Injury (mTBI).BackgroundmTBI is defined by a constellation of functional rather than structural deficits. As a measure of functional connectivity, fALFF has been implicated in long-term outcomes post-mTBI. It is unclear however, how longitudinal changes in fALFF may relate to the clinical presentation of mTBI.Design/Methods111 patients and 32 controls (15–50 years old) were enrolled acutely after mTBI and followed with up to 4 standardized serial assessments. Patients were enrolled at either Encounter 1 (E1), within 72 hours, or Encounter 2 (E2), 5–10 days post-injury, and returned for Encounter 3 (E3) at 15–29 days and Encounter 4 (E4) at 83–97 days. Each encounter included a clinical exam, neuropsychological assessment, as well as rs-fMRI imaging. fALFF was analyzed independently in 14 functional networks and, in grey and white matter as a function of symptom severity. Symptom severity scores (SSS) ranged from 0–132 as defined by the SCAT2 symptom evaluation.ResultsIn mTBI patients, fALFF scores across 5 functional brain networks (language, sensorimotor, visuospatial, higher-order visual, and posterior salience) differed between mTBI patients with low versus high SSS (SSS <5 and >30, respectively). Overall, greater SSS were indexed by reduced connectivity (p < 0.03, Bonferroni corrected). Further analysis also identified corresponding network pairs which were most predictive of increased SSS. White matter fALFF was not correlated with symptom severity, however, decreased grey matter fALFF was significantly correlated with greater SSS (r = −0.25, p = 0.002).ConclusionsGrey matter fALFF was correlated with mTBI symptom burden suggesting that patterns of neural connectivity relate directly to the clinical presentation of mTBI. Furthermore, differences in functional network connectivity as a function of SSS may reflect which networks are implicated in recovery of mTBI.


2019 ◽  
Vol 85 (10) ◽  
pp. S188-S189
Author(s):  
Chandni Sheth ◽  
Jadwiga Rogowska ◽  
Margaret Legarreta ◽  
Erin McGlade ◽  
Deborah Yurgelun-Todd

2015 ◽  
Vol 5 (2) ◽  
pp. 102-114 ◽  
Author(s):  
Dominic E. Nathan ◽  
Terrence R. Oakes ◽  
Ping Hong Yeh ◽  
Louis M. French ◽  
Jamie F. Harper ◽  
...  

2021 ◽  
Author(s):  
Zhihui Yang ◽  
Tian Zhu ◽  
Marjory Pompilus ◽  
Yueqiang Fu ◽  
Jiepei Zhu ◽  
...  

Penetrating cortical impact injuries alter neuronal communication beyond the injury epicenter, across regions involved in affective, sensorimotor, and cognitive processing. Understanding how traumatic brain injury (TBI) reorganizes local and brain wide nodal functional interactions may provide valuable quantitative parameters for monitoring pathological progression and functional recovery. To this end, we investigated spontaneous fluctuations in the functional magnetic resonance imaging (fMRI) signal obtained at 11.1 Tesla in rats sustaining controlled cortical impact (CCI) and imaged at 2- and 30-days post-injury. Graph theory-based calculations were applied to weighted undirected matrices constructed from 12,879 pairwise correlations between fMRI signals from 162 regions. Our data indicate that on days 2 and 30 post-CCI there is a significant increase in connectivity strength in nodes located in contralesional cortical, thalamic, and basal forebrain areas. Rats imaged on day 2 post-injury had significantly greater network modularity than controls, with influential nodes (with high eigenvector centrality) contained within the contralesional module and participating less in cross-modular interactions. By day 30, modularity and cross-modular interactions recover, although a cluster of nodes with low strength and low eigenvector centrality remain in the ipsilateral cortex. Our results suggest that changes in node strength, modularity, eigenvector centrality, and participation coefficient track early and late TBI effects on brain functional connectivity. We propose that the observed compensatory functional connectivity reorganization in response to CCI may be unfavorable to brain wide communication in the early post-injury period.


2019 ◽  
Author(s):  
Victor M. Vergara ◽  
Harm J. van der Horn ◽  
Andrew R. Mayer ◽  
Flor A. Espinoza ◽  
Joukje van der Naalt ◽  
...  

AbstractThe human brain has the ability of changing its wiring configuration by increasing or decreasing functional connectivity strength between specific areas. Variable but recurring configuration patterns in dynamic functional connectivity have been observed during resting fMRI experiments, patterns which are defined as dynamic brain states. The question arises whether in a regular healthy brain these states evolve in a random fashion or in a specific sequential order. The current work reveals both the specific state sequence in healthy brains, as well as the set of disruptions in this sequence produced by traumatic brain injury. The healthy sequence consists of oscillatory dynamic connectivity patterns that orbit an attractor state in a high dimensional space. Using discovery (96 subjects) and replication (74 subjects) cohorts, this study demonstrated that mild traumatic brain injury results in immediate orbital disruptions that recover over time. Brain dynamics enter a status of disrupted orbits right after injury, with partial recovery at 4 weeks, and full recovery at 3 months post-injury. In summary, our results describe an aspect of neuronal dysfunction in mild traumatic brain injury that is fully based on brain state dynamics, and different from traditional brain connectivity strength measures.


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