scholarly journals Magnetoencephalography-based identification of functional connectivity network disruption following mild traumatic brain injury

2016 ◽  
Vol 116 (4) ◽  
pp. 1840-1847 ◽  
Author(s):  
Ahmad Alhourani ◽  
Thomas A. Wozny ◽  
Deepa Krishnaswamy ◽  
Sudhir Pathak ◽  
Shawn A. Walls ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Functional Connectivity ◽  
Mild Traumatic Brain Injury ◽  
Phase Locking ◽  
Brain Regions ◽  
Memory And Attention ◽  
Control Subjects ◽  
Cortical Regions ◽  
Phase Locking Value

Mild traumatic brain injury (mTBI) leads to long-term cognitive sequelae in a significant portion of patients. Disruption of normal neural communication across functional brain networks may explain the deficits in memory and attention observed after mTBI. In this study, we used magnetoencephalography (MEG) to examine functional connectivity during a resting state in a group of mTBI subjects ( n = 9) compared with age-matched control subjects ( n = 15). We adopted a data-driven, exploratory analysis in source space using phase locking value across different frequency bands. We observed a significant reduction in functional connectivity in band-specific networks in mTBI compared with control subjects. These networks spanned multiple cortical regions involved in the default mode network (DMN). The DMN is thought to subserve memory and attention during periods when an individual is not engaged in a specific task, and its disruption may lead to cognitive deficits after mTBI. We further applied graph theoretical analysis on the functional connectivity matrices. Our data suggest reduced local efficiency in different brain regions in mTBI patients. In conclusion, MEG can be a potential tool to investigate and detect network alterations in patients with mTBI. The value of MEG to reveal potential neurophysiological biomarkers for mTBI patients warrants further exploration.

Longitudinal Resting State Functional Connectivity Predicts Clinical Outcome in Mild Traumatic Brain Injury

2019 ◽  
Vol 36 (5) ◽  
pp. 650-660 ◽  
Author(s):  
Radhika Madhavan ◽  
Suresh E. Joel ◽  
Rakesh Mullick ◽  
Taylor Cogsil ◽  
Sumit N. Niogi ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Functional Connectivity ◽  
Clinical Outcome ◽  
Mild Traumatic Brain Injury ◽  
Resting State ◽  
Resting State Functional Connectivity

Resting-state functional connectivity as a biomarker of aggression in mild traumatic brain injury

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
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Functional Connectivity ◽  
Mild Traumatic Brain Injury ◽  
Resting State ◽  
Resting State Functional Connectivity

scholarly journals Diagnostic Approach to Traumatic Axonal Injury of the Spinothalamic Tract in Individual Patients with Mild Traumatic Brain Injury

Diagnostics ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 199 ◽  
Author(s):  
Jang ◽  
Lee
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Axonal Injury ◽  
Control Group ◽  
Central Pain ◽  
Traumatic Axonal Injury ◽  
Spinothalamic Tract ◽  
Statistical Comparison ◽  
Control Subjects

Objectives: We investigated an approach for the diagnosis of traumatic axonal injury (TAI) of the spinothalamic tract (STT) that was based on diffusion tensor tractography (DTT) results and a statistical comparison of individual patients who showed central pain following mild traumatic brain injury (mTBI) with the control group. Methods: Five right-handed female patients in their forties and with central pain following mTBI and 12 age-, sex-, and handedness-matched healthy control subjects were recruited. After DTT reconstruction of the STT, we analyzed the STT in terms of three DTT parameters (fractional anisotropy (FA), mean diffusivity (MD), and fiber number (FN)) and its configuration (narrowing and tearing). To assess narrowing, we determined the area of the STT on an axial slice of the subcortical white matter. Results: the FN values were significantly lower in at least one hemisphere of each patient when compared to those of the control subjects (p < 0.05). Significant decrements from the STT area in the control group were observed in at least one hemisphere of each patient (p < 0.05). Regarding configurational analysis, the STT showed narrowing and/or partial tearing in at least one hemisphere of each of the five patients. Conclusions: Herein, we demonstrate a DTT-based approach for the diagnosis of TAI of the STT. The approach involves a statistical comparison between DTT parameters of individual patients who show central pain following mTBI and those of an age-, gender-, and handedness-matched control group. We think that the method described in this study can be useful in the diagnosis of TAI of the STT in individual mTBI patients.

scholarly journals Resting State Functional Connectivity is Directly Related to Clinical Presentation of Mild Traumatic Brain Injury

Neurology ◽  
2019 ◽  
Vol 93 (14 Supplement 1) ◽  
pp. S26.2-S27
Author(s):  
Teena Shetty ◽  
Joseph Nguyen ◽  
Esther Kim ◽  
George Skulikidis ◽  
Matthew Garvey ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
White Matter ◽  
Functional Connectivity ◽  
Mild Traumatic Brain Injury ◽  
Resting State ◽  
Symptom Severity ◽  
Grey Matter ◽  
Clinical Presentation ◽  
Severity Scores

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.

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 ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Functional Connectivity ◽  
Mild Traumatic Brain Injury ◽  
Brain Functional Connectivity

T154. Functional Connectivity of the Anterior Cingulate Cortex in Veterans With Mild Traumatic Brain Injury

2019 ◽  
Vol 85 (10) ◽  
pp. S188-S189
Author(s):  
Chandni Sheth ◽  
Jadwiga Rogowska ◽  
Margaret Legarreta ◽  
Erin McGlade ◽  
Deborah Yurgelun-Todd
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Functional Connectivity ◽  
Anterior Cingulate Cortex ◽  
Mild Traumatic Brain Injury ◽  
Cingulate Cortex ◽  
Anterior Cingulate

Exploring Variations in Functional Connectivity of the Resting State Default Mode Network in Mild Traumatic Brain Injury

2015 ◽  
Vol 5 (2) ◽  
pp. 102-114 ◽  
Author(s):  
Dominic E. Nathan ◽  
Terrence R. Oakes ◽  
Ping Hong Yeh ◽  
Louis M. French ◽  
Jamie F. Harper ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Functional Connectivity ◽  
Mild Traumatic Brain Injury ◽  
Default Mode Network ◽  
Resting State ◽  
Default Mode

scholarly journals Mild Traumatic Brain Injury Disrupts Functional Dynamic Attractors of Healthy Mental States

2019 ◽  
Author(s):  
Victor M. Vergara ◽  
Harm J. van der Horn ◽  
Andrew R. Mayer ◽  
Flor A. Espinoza ◽  
Joukje van der Naalt ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Functional Connectivity ◽  
Mild Traumatic Brain Injury ◽  
Dimensional Space ◽  
Mental States ◽  
Brain State ◽  
Partial Recovery ◽  
Post Injury ◽  
Connectivity Strength

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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