Faculty Opinions recommendation of Prediction of brain age suggests accelerated atrophy after traumatic brain injury.

Author(s):  
Krish Sathian
2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 890-890
Author(s):  
Andrei Irimia ◽  
Jun Kim ◽  
Shania Wang ◽  
Hyung Jun Lee ◽  
Van Ngo ◽  
...  

Abstract Estimating biological brain age (BA) has the potential of identifying individuals at relatively high risk for accelerated neurodegeneration. This study compares the brain’s chronological age (CA) to its BA and reveals the BA rate of change after mild traumatic brain injury (mTBI) in an aging cohort. Using T1-weighted magnetic resonance imaging (MRI) volumes and cortical thickness, volume, surface area, and Gaussian curvature obtained using FreeSurfer software; we formulated a multivariate linear regression to determine the rate of BA increase associated with mTBI. 95 TBI patients (age in years (y): μ = 41 y, σ = 17 y; range = 18 to 83) were compared to 462 healthy controls (HCs) (age: μ = 69 y, σ = 18 y; range = 25 to 95) over a 6-month time period following mTBI. Across the initial ~6 months following injury, patients’ BAs increased by ~3.0 ± 1.2 years due to their mTBIs alone, i.e., above and beyond typical brain aging. The superior temporal and parahippocampal gyri, two structures involved in memory formation and retrieval, exhibited the fastest rates of TBI-related BA. In both hemispheres, the volume of the hippocampus decreased (left: μ=0.28%, σ=4.40%; right: μ=0.12%, σ=4.84%). These findings illustrate BA estimation techniques’ potential to identify TBI patients with accelerated neurodegeneration, whose rate is strongly associated with the risk for dementia and other aging-related neurological conditions.


2015 ◽  
Vol 77 (4) ◽  
pp. 571-581 ◽  
Author(s):  
James H. Cole ◽  
Robert Leech ◽  
David J. Sharp ◽  

2021 ◽  
Vol 10 (3) ◽  
pp. 418
Author(s):  
Torgeir Hellstrøm ◽  
Nada Andelic ◽  
Ann-Marie G. de Lange ◽  
Eirik Helseth ◽  
Kristin Eiklid ◽  
...  

Background: Apolipoprotein E (APOE) ɛ4 is associated with poor outcome following moderate to severe traumatic brain injury (TBI). There is a lack of studies investigating the influence of APOE ɛ4 on intracranial pathology following mild traumatic brain injury (MTBI). This study explores the association between APOE ɛ4 and MRI measures of brain age prediction, brain morphometry, and diffusion tensor imaging (DTI). Methods: Patients aged 16 to 65 with acute MTBI admitted to the trauma center were included. Multimodal MRI was performed 12 months after injury and associated with APOE ɛ4 status. Corrections for multiple comparisons were done using false discovery rate (FDR). Results: Of included patients, 123 patients had available APOE, volumetric, and DTI data of sufficient quality. There were no differences between APOE ɛ4 carriers (39%) and non-carriers in demographic and clinical data. Age prediction revealed high accuracy both for the DTI-based and the brain morphometry based model. Group comparisons revealed no significant differences in brain-age gap between ɛ4 carriers and non-carriers, and no significant differences in conventional measures of brain morphometry and volumes. Compared to non-carriers, APOE ɛ4 carriers showed lower fractional anisotropy (FA) in the hippocampal part of the cingulum bundle, which did not remain significant after FDR adjustment. Conclusion: APOE ɛ4 carriers might be vulnerable to reduced neuronal integrity in the cingulum. Larger cohort studies are warranted to replicate this finding.


2020 ◽  
Author(s):  
Shuoqiu Gan ◽  
Wen Shi ◽  
Shan Wang ◽  
Yingxiang Sun ◽  
Bo Yin ◽  
...  

Abstract Background: Long-term effects of mild traumatic brain injury (mTBI) resemble brain aging changes (i.e., microstructure integrity loss), which implies an accelerated age-associated process. This study aimed to develop a quantifiable neuroimaging marker to characterize the brain-aging process accelerated by mTBI from acute to chronic phases. Methods: A brain-age prediction model was defined using relevance vector regression (RVR) in 523 healthy individuals, based on fractional anisotropy metrics from diffusion-tensor imaging. The model was adopted to estimate brain-predicted age difference (brain-PAD = predicted brain age - chronological age) in 116 acute mTBI patients and 63 healthy controls (HCs). Fifty patients were followed up 6~12 month post-injury to evaluate the longitudinal changes in brain-PAD. Another mTBI group containing 70 acute patients were included as a replicated cohort. We investigated whether brain-PAD was greater in patients with elderly age, post-concussion complaints, and risky apolipoprotein E (APOE) genotype, and whether it had the potential to predict neuropsychological outcomes for information processing speed (IPS). Between-group and longitudinal comparison in brain-PAD was conducted with analysis of covariance and linear mixed-effects model, respectively. The correlation between brain-PAD and continuous variables was analyzed with Spearman rank-order correlation.Results: The RVR brain-age prediction model predicted brain age accurately (r = 0.96, R2 = 0.93). The brain age of mTBI patients was estimated to be "older" in the acute phase, with mean brain-PAD of 2.59 (± 5.97) years compared with HCs (0.12 ± 3.19 years) (P < 0.05) and replicated in another mTBI cohort (brain-PAD: 3.26 ± 4.55 years). The increased brain age in mTBI kept stable at 6-12 month post-injury (2.50 ± 4.54 years). Patients with older age or severer post-concussion complaints obtained greater brain-PAD (P < 0.001, P = 0.024), while patients with APOE ε4 didn’t obtain greater brain-PAD than those without. Additionally, brain-PAD in the acute phase predicted patients’ IPS profile at 6~12 month follow-up (rho = -0.36, P = 0.01). Conclusion: Mild TBI, even a single one, accelerates the brain-aging process. The brain-PAD can be considered as a quantitative neuroimaging marker to evaluate the susceptibility to neurodegeneration or other age-associated conditions following mTBI. Trial registration: NCT02868684.


2019 ◽  
Vol 42 ◽  
Author(s):  
Colleen M. Kelley ◽  
Larry L. Jacoby

Abstract Cognitive control constrains retrieval processing and so restricts what comes to mind as input to the attribution system. We review evidence that older adults, patients with Alzheimer's disease, and people with traumatic brain injury exert less cognitive control during retrieval, and so are susceptible to memory misattributions in the form of dramatic levels of false remembering.


2020 ◽  
Vol 5 (1) ◽  
pp. 88-96
Author(s):  
Mary R. T. Kennedy

Purpose The purpose of this clinical focus article is to provide speech-language pathologists with a brief update of the evidence that provides possible explanations for our experiences while coaching college students with traumatic brain injury (TBI). Method The narrative text provides readers with lessons we learned as speech-language pathologists functioning as cognitive coaches to college students with TBI. This is not meant to be an exhaustive list, but rather to consider the recent scientific evidence that will help our understanding of how best to coach these college students. Conclusion Four lessons are described. Lesson 1 focuses on the value of self-reported responses to surveys, questionnaires, and interviews. Lesson 2 addresses the use of immediate/proximal goals as leverage for students to update their sense of self and how their abilities and disabilities may alter their more distal goals. Lesson 3 reminds us that teamwork is necessary to address the complex issues facing these students, which include their developmental stage, the sudden onset of trauma to the brain, and having to navigate going to college with a TBI. Lesson 4 focuses on the need for college students with TBI to learn how to self-advocate with instructors, family, and peers.


2019 ◽  
Vol 28 (3) ◽  
pp. 1363-1370 ◽  
Author(s):  
Jessica Brown ◽  
Katy O'Brien ◽  
Kelly Knollman-Porter ◽  
Tracey Wallace

Purpose The Centers for Disease Control and Prevention (CDC) recently released guidelines for rehabilitation professionals regarding the care of children with mild traumatic brain injury (mTBI). Given that mTBI impacts millions of children each year and can be particularly detrimental to children in middle and high school age groups, access to universal recommendations for management of postinjury symptoms is ideal. Method This viewpoint article examines the CDC guidelines and applies these recommendations directly to speech-language pathology practices. In particular, education, assessment, treatment, team management, and ongoing monitoring are discussed. In addition, suggested timelines regarding implementation of services by speech-language pathologists (SLPs) are provided. Specific focus is placed on adolescents (i.e., middle and high school–age children). Results SLPs are critical members of the rehabilitation team working with children with mTBI and should be involved in education, symptom monitoring, and assessment early in the recovery process. SLPs can also provide unique insight into the cognitive and linguistic challenges of these students and can serve to bridge the gap among rehabilitation and school-based professionals, the adolescent with brain injury, and their parents. Conclusion The guidelines provided by the CDC, along with evidence from the field of speech pathology, can guide SLPs to advocate for involvement in the care of adolescents with mTBI. More research is needed to enhance the evidence base for direct assessment and treatment with this population; however, SLPs can use their extensive knowledge and experience working with individuals with traumatic brain injury as a starting point for post-mTBI care.


ASHA Leader ◽  
2010 ◽  
Vol 15 (13) ◽  
pp. 38-38
Author(s):  
G. Gayle Kelley

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