Poster No:
326
Submission Type:
Abstract Submission
Authors:
Lauren Rooks1, Bradley Caron2, Franco Pestilli2, Nicholas Port1
Institutions:
1Indiana University, Bloomington, IN, 2The University of Texas at Austin, Austin, TX
First Author:
Co-Author(s):
Introduction:
Several recent mutli-center traumatic brain injury (TBI) studies, eg. TRACK-TBI and the NCAA/DOD CARE consortium, have shown changes in diffusion magnetic resonance imaging (dMRI) which are prognostic for predicting recovery and might be predictive of other long-term sequelae. However, these multi-center studies used simple dMRI acquisitions sequences which were time efficient. More extensive dMRI sequences, although time consuming, allow for higher resolution analyses of white matter microstructure which could produce better predictive models. Quantitative T1 imaging is a relatively new MRI technique of neural tissue which allows for microscopic analysis of tissue composition and could provide new clinical insights to disease pathology.
Methods:
The goal of this research is to identify if there are brain properties which are altered within the first 24-48 hours of concussion and if they recover by 6 months post-injury. The second goal would be to determine if these brain properties can determine length of recovery or return to play time. This research was conducted using a dataset of 37 concussed athletes from Indiana University and 35 sport matched control athletes. Magnetic Resonance Imaging (MRI) data collected included 3-5 anatomical T1 weighted scans, 1 anatomical T2 weighted scan, and 2 dMRI scans (posterior to anterior, anterior to posterior). Structural statistics included volume, cortical thickness, and surface area of 66 cortical and subcortical regions.
Results:
Our current preliminary results focused on volumetric analyses between our groups. We found the Cohen's D effect size of surface area between concussed and control athletes ranged from d = 0.01 to 0.45 with no effect sizes being statistically significant. The effect sizes of gray matter volume range from d = 0.01 to 0.5 with no effect sizes being statistically significant. Lastly, effect sizes of gray matter thickness range from d = 0.02 to 0.63 with no effect sizes being statistically significant.
Conclusions:
Our planned next analyses include 1) doing tractography, calculating DTI and NODDI metric along the length of the tracts, and predicting recovery from these metrics and 2) calculating quantitative T1 relaxation time maps between our groups and testing the hypothesis that a microscopic break of the blood brain barrier occurs at the acute time point of mild TBI.
Disorders of the Nervous System:
Neurodevelopmental/ Early Life (eg. ADHD, autism) 1
Modeling and Analysis Methods:
Connectivity (eg. functional, effective, structural) 2
Diffusion MRI Modeling and Analysis
Neuroanatomy, Physiology, Metabolism and Neurotransmission:
White Matter Anatomy, Fiber Pathways and Connectivity
Novel Imaging Acquisition Methods:
Diffusion MRI
Keywords:
MRI
STRUCTURAL MRI
Tractography
Trauma
WHITE MATTER IMAGING - DTI, HARDI, DSI, ETC
1|2Indicates the priority used for review
By submitting your proposal, you grant permission for the Organization for Human Brain Mapping (OHBM) to distribute your work in any format, including video, audio print and electronic text through OHBM OnDemand, social media channels, the OHBM website, or other electronic publications and media.
I accept
The Open Science Special Interest Group (OSSIG) is introducing a reproducibility challenge for OHBM 2025. This new initiative aims to enhance the reproducibility of scientific results and foster collaborations between labs. Teams will consist of a “source” party and a “reproducing” party, and will be evaluated on the success of their replication, the openness of the source work, and additional deliverables. Click here for more information.
Propose your OHBM abstract(s) as source work for future OHBM meetings by selecting one of the following options:
I am submitting this abstract as an original work to be reproduced. I am available to be the “source party” in an upcoming team and consent to have this work listed on the OSSIG website. I agree to be contacted by OSSIG regarding the challenge and may share data used in this abstract with another team.
Please indicate below if your study was a "resting state" or "task-activation” study.
Other
Healthy subjects only or patients (note that patient studies may also involve healthy subjects):
Patients
Was this research conducted in the United States?
Yes
Are you Internal Review Board (IRB) certified?
Please note: Failure to have IRB, if applicable will lead to automatic rejection of abstract.
Yes, I have IRB or AUCC approval
Were any human subjects research approved by the relevant Institutional Review Board or ethics panel?
NOTE: Any human subjects studies without IRB approval will be automatically rejected.
Yes
Were any animal research approved by the relevant IACUC or other animal research panel?
NOTE: Any animal studies without IACUC approval will be automatically rejected.
Not applicable
Please indicate which methods were used in your research:
Structural MRI
Diffusion MRI
For human MRI, what field strength scanner do you use?
3.0T
Provide references using APA citation style.
NA
No