scholarly journals Sex and Age Differences in Default Mode Network Functional Correlation After Traumatic Brain Injury

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 830-831
Author(s):  
Anar Amgalan ◽  
Alexander Mayer ◽  
Michelle Ha ◽  
Andrei Irimia

Abstract The extent to which brain functional correlations (FCs) are modulated by age and sex is unknown. We studied default mode network (DMN) FC changes in 136 participants with mild traumatic brain injury (mTBI; 52 females, age range: 19 – 79 years, age μ = 42, age σ = 17; 72 participants younger than 40). Structural and functional magnetic resonance images (MRIs) were acquired ~1 week and ~6 months post-injury; the FreeSurfer Functional Analysis STream (FS-FAST) was used for group-level FC comparisons across sexes and age groups (younger vs. older than 40). FC seeds were two sub-networks of the DMN, M1 and M2, defined by the standard Yeo parcellation scheme. For M1, clusters with significant FC differences across sexes were in the right paracentral lobule, central sulcus, postcentral gyrus, superior frontal gyrus, and precentral sulcus (p = 0.0001), and in the left paracentral lobule and central sulcus (p = 0.022). For M2, clusters spanned the right postcentral gyrus, middle occipital gyrus, transverse occipital sulcus, and central sulcus (p = 0.0001), the left precuneus and inferior parietal lobe (p = 0.0096). Females either exhibited no significant FC change or underwent FC increases. Males underwent significant FC decreases within all clusters, suggesting their increased vulnerability to mTBI-related effects. Clusters whose FCs differed significantly across age groups were localized to the left superior temporal gyrus (p = 0.0078), highlighting the vulnerability of temporal regions to age effects. Future studies should explore the age × sex interaction and uncover the mechanisms for these observed findings.

2018 ◽  
Vol 119 (5) ◽  
pp. 1592-1594
Author(s):  
Casey Swick ◽  
Tiffany Andersen ◽  
Ana-Mercedes Flores

Illuminating the pathophysiological mechanisms that underlie persistent postconcussive symptoms following mild traumatic brain injury (mTBI) is a growing area of study. Alhourani et al. ( J Neurophysiol 116: 1840–1847, 2016) added to this emerging body of literature with their study examining default mode network disruption in mTBI using magnetoencephalography. The findings provided enhanced insight into the neural underpinnings of mTBI, which can be applied to future clinical and experimental research in this area.


2012 ◽  
Vol 3 (1) ◽  
Author(s):  
Cheuk Tang ◽  
Emily Eaves ◽  
Kristen Dams-O’Connor ◽  
Lap Ho ◽  
Eric Leung ◽  
...  

AbstractDiffuse axonal injury is a common pathological consequence of Traumatic Brain Injury (TBI). Diffusion Tensor Imaging is an ideal technique to study white matter integrity using the Fractional Anisotropy (FA) index which is a measure of axonal integrity and coherence. There have been several reports showing reduced FA in individuals with TBI, which suggest demyelination or reduced fiber density in white matter tracts secondary to injury. Individuals with TBI are usually diagnosed with cognitive deficits such as reduced attention span, memory and executive function. In this study we sought to investigate correlations between brain functional networks, white matter integrity, and TBI severity in individuals with TBI ranging from mild to severe. A resting state functional magnetic resonance imaging protocol was used to study the default mode network in subjects at rest. FA values were decreased throughout all white matter tracts in the mild to severe TBI subjects. FA values were also negatively correlated with TBI injury severity ratings. The default mode network showed several brain regions in which connectivity measures were higher among individuals with TBI relative to control subjects. These findings suggest that, subsequent to TBI, the brain may undergo adaptation responses at the cellular level to compensate for functional impairment due to axonal 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 ◽  
...  

Brain ◽  
2011 ◽  
Vol 134 (8) ◽  
pp. 2233-2247 ◽  
Author(s):  
David J. Sharp ◽  
Christian F. Beckmann ◽  
Richard Greenwood ◽  
Kirsi M. Kinnunen ◽  
Valerie Bonnelle ◽  
...  

2013 ◽  
Vol 1537 ◽  
pp. 201-215 ◽  
Author(s):  
Chandler Sours ◽  
Jiachen Zhuo ◽  
Jacqueline Janowich ◽  
Bizhan Aarabi ◽  
Kathirkamanthan Shanmuganathan ◽  
...  

2018 ◽  
Vol 24 (7) ◽  
pp. 662-672 ◽  
Author(s):  
Danielle R. Sullivan ◽  
Jasmeet P. Hayes ◽  
Ginette Lafleche ◽  
David H. Salat ◽  
Mieke Verfaellie

AbstractObjectives: Research on the cognitive sequelae of mild traumatic brain injury (mTBI) suggests that, despite generally rapid recovery, difficulties may persist in the domain of cognitive control. The goal of this study was to examine whether individuals with chronic blast-related mTBI show behavioral or neural alterations associated with cognitive control. Methods: We collected event-related functional magnetic resonance imaging (fMRI) data during a flanker task in 17 individuals with blast-related mTBI and 16 individuals with blast-exposure without TBI (control). Results: Groups did not significantly differ in behavioral measures of cognitive control. Relative to the control group, the mTBI group showed greater deactivation of regions associated with the default mode network during the processing of errors. Additionally, error processing in the mTBI group was associated with enhanced negative coupling between the default mode network and the dorsal anterior cingulate cortex as well as the dorsolateral prefrontal cortex, regions of the salience and central executive networks that are associated with cognitive control. Conclusions: These results suggest that deactivation of default mode network regions and associated enhancements of connectivity with cognitive control regions may act as a compensatory mechanism for successful cognitive control task performance in mTBI. (JINS, 2018, 24, 1–11)


2012 ◽  
Vol 109 (12) ◽  
pp. 4690-4695 ◽  
Author(s):  
V. Bonnelle ◽  
T. E. Ham ◽  
R. Leech ◽  
K. M. Kinnunen ◽  
M. A. Mehta ◽  
...  

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