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Abstract Details

Capturing MRI Signatures of Brain Age as a Potential Biomarker to Predict Persistence of Post-traumatic Headache
Headache
S20 - Hot Topics in Headache (4:30 PM-4:42 PM)
006

Deep learning has shown utility for calculating “brain age” using magnetic resonance imaging (MRI) as a proxy indicator of brain integrity. The difference between a person’s brain age and their actual biological age (Δage) indicates whether a person’s brain shows age-related changes.

Here, we assess whether bio-signatures of brain age captured from MRI in patients with acute post-traumatic headache (aPTH) attributed to mild traumatic brain injury (mTBI) may serve as surrogate neuroimaging biomarker for predicting PTH persistence.

We trained a ResNet-18 model on a cohort of 7,377 HC (public datasets: IXI, ICBM, ABIDE, OASIS, NACC) to predict biological age using T1-weighted brain MRI scans. Our model outperforms other baseline methods with mean absolute error (MAE)=2.56 on held-out HC test set. We applied this trained model to a different HC cohort (N=40, mean age=38.5) and an aPTH cohort (N=37, mean age=42.4). Following mTBI, aPTH patients underwent imaging within 0-59 days.  At three months post-mTBI, 19 patients (mean age=44.8) had headache recovery and at 6 months post-mTBI 20 patients (mean age=42.8) had headache recovery.

Using baseline imaging, predicted Δage for HC and aPTH patients was -0.6±11.0 and 0.5±9.9 respectively. For aPTH patients who had headache recovery at 3-month follow-up, predicted Δage was 0.5±8.3 and 0.8±11.7 for those without headache recovery. Patients who continued to have headache persistence at 6-month had predicted Δage of 1.3±9.8.

Compared to HC, mean predicted Δage signature was older for patients with aPTH suggesting more structural decline related to TBI and aPTH. Compared to patients with headache recovery, aPTH patients who had headache persistence at 3 and 6 months showed older brain signatures indicating greater brain structural decline.  Results suggest the potential for deep learning to capture an early imaging signature for structural decline using MRI acutely following TBI for detecting patients at risk for developing persistent PTH.

Authors/Disclosures
Jay Shah (Arizona State University)
PRESENTER
Mr. Shah has nothing to disclose.
Md Mahfuzur Rahman Siddiquee (Arizona State University) No disclosure on file
Catherine D. Chong, PhD, FAAN (Mayo Clinic) Dr. Chong has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for HCOP. The institution of Dr. Chong has received research support from AMGEN. The institution of Dr. Chong has received research support from Department of Defense. The institution of Dr. Chong has received research support from NIH. An immediate family member of Dr. Chong has received intellectual property interests from a discovery or technology relating to health care.
Todd J. Schwedt, MD, FAAN (Mayo Clinic) Dr. Schwedt has received personal compensation in the range of $5,000-$9,999 for serving as a Consultant for Allergan. Dr. Schwedt has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Biohaven. Dr. Schwedt has received personal compensation in the range of $10,000-$49,999 for serving as a Consultant for Eli Lilly. Dr. Schwedt has received personal compensation in the range of $10,000-$49,999 for serving as a Consultant for Lundbeck. Dr. Schwedt has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Satsuma. Dr. Schwedt has received personal compensation in the range of $5,000-$9,999 for serving as a Consultant for Biodelivery Science. Dr. Schwedt has received personal compensation in the range of $10,000-$49,999 for serving as a Consultant for Abbvie. Dr. Schwedt has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Axsome. Dr. Schwedt has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Collegium. Dr. Schwedt has received personal compensation in the range of $5,000-$9,999 for serving as a Consultant for Linpharma. Dr. Schwedt has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Theranica. Dr. Schwedt has received personal compensation in the range of $0-$499 for serving as a Consultant for Amgen. Dr. Schwedt has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Scilex. Dr. Schwedt has stock in Aural Analytics. Dr. Schwedt has stock in Nocira. The institution of Dr. Schwedt has received research support from Amgen. The institution of Dr. Schwedt has received research support from National Institutes of Health. The institution of Dr. Schwedt has received research support from United States Department of Defense. The institution of Dr. Schwedt has received research support from Patient Centered Outcomes Research Institute. The institution of Dr. Schwedt has received research support from SPARK Neuro. The institution of Dr. Schwedt has received research support from Henry Jackson Foundation. Dr. Schwedt has received intellectual property interests from a discovery or technology relating to health care. Dr. Schwedt has received publishing royalties from a publication relating to health care.
Jing Li (Georgia Institute of Technology) Jing Li has nothing to disclose.
Visar Berisha Visar Berisha has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Cytokinetics. Visar Berisha has received personal compensation in the range of $5,000-$9,999 for serving as a Consultant for Boehringer Ingelheim. Visar Berisha has received personal compensation in the range of $10,000-$49,999 for serving as an officer or member of the Board of Directors for Aural Analytics. Visar Berisha has received stock or an ownership interest from Aural Analytics. The institution of Visar Berisha has received research support from Boheringer Ingelheim. Visar Berisha has received intellectual property interests from a discovery or technology relating to health care.
Katherine Ross (Phoenix VA Health Care System) Katherine Ross has nothing to disclose.
Teresa Wu (Arizona State University) No disclosure on file