Back to Authors

Chong, Catherine D.

https://orcid.org/0000-0002-9035-8748

Mayo Clinic

Mayo Clinic

Citations 80

Impact of Abuse on Migraine Symptoms and Comorbidity: Results from the American Registry for Migraine Research (ARMR) (2187)
Trivedi, Meesha , Dumkrieger, Gina , Chong, Catherine D. , Dodick, David W. , Schwedt, Todd J.

Neurology | December 7, 2023 | Volume: 96 | Issue: 15_supplement | Pages: No page available

10.1212/wnl.96.15_supplement.2187 Get It

Static and Dynamic Functional Connectivity Differences in Migraine compared to Healthy Controls (1481)
Ross, Katherine , Chong, Catherine D. , Dumkrieger, Gina , Berisha, Visar , Schwedt, Todd J.

Neurology | December 7, 2023 | Volume: 96 | Issue: 15_supplement | Pages: No page available

10.1212/wnl.96.15_supplement.1481 Get It

Sensory Hypersensitivity Symptoms in Migraine with vs. Without Aura: Results from the American Registry for Migraine Research (ARMR) (83)
Pearl, Talia A. , Dumkrieger, Gina , Chong, Catherine D. , Schwedt, Todd J. , Dodick, David W.

Neurology | December 7, 2023 | Volume: 94 | Issue: 15_supplement | Pages: No page available

10.1212/wnl.94.15_supplement.83 Get It

Impact of Depression and Anxiety Symptoms on Patient-reported Outcomes in Patients with Migraine: Results from the American Registry for Migraine Research (ARMR) (18)
Pearl, Talia A. , Dumkrieger, Gina , Chong, Catherine D. , Schwedt, Todd J. , Dodick, David W.

Neurology | December 7, 2023 | Volume: 94 | Issue: 15_supplement | Pages: No page available

10.1212/wnl.94.15_supplement.18 Get It

Adults with Migraine Have Atypical Correlations between Brain Cortical Thickness and Pain Thresholds (PL1.001)
Schwedt, Todd J. , Chong, Catherine D.

Neurology | December 6, 2023 | Volume: 84 | Issue: 14_supplement | Pages: No page available

10.1212/wnl.84.14_supplement.pl1.001 Get It

NINDS Common Data Elements for post‐traumatic headache: A project from the American Headache Society Post‐Traumatic Headache Special Interest Section
Chong, Catherine D. , Ashina, Sait , Kamins, Joshua, Scher, I , Gentile, Carlyn Patterson , Finkel, Alan G. , Oshinsky, Michael L. , Patterson Gentile, Carlyn , Chong, Catherine D , Ashina, Sait , Schwedt, Todd J.

Headache: The Journal of Head and Face Pain | November 27, 2023 | Volume: 64 | Issue: 1 | Pages: 1-2

10.1111/head.14653 Get It

Mind Your Head
Furst, Ansgar J. , Chong, Catherine D.

Neurology | July 21, 2023 | Volume: 101 | Issue: 9 | Pages: 380-381

10.1212/wnl.0000000000207775 Get It

Questionnaire and structural imaging data accurately predict headache improvement in patients with acute post-traumatic headache attributed to mild traumatic brain injury
Mao, Lingchao, Li, Jing, Nikjou, Devin, Dumkrieger, Gina , Ross, Katherine , Chong, Catherine D. , Mao, Lingchao , Dumkrieger, Gina , Chong, Catherine D , Mao, Lingchao , Schwedt, Todd J. , Berisha, Visar , Wu, Teresa

Cephalalgia | May 9, 2023 | Volume: 43 | Issue: 5 | Pages: 033310242311727

10.1177/03331024231172736 Get It

Background Our prior work demonstrated that questionnaires assessing psychosocial symptoms have utility for predicting improvement in patients with acute post-traumatic headache following mild traumatic brain injury. In this cohort study, we aimed to determine whether prediction accuracy can be refined by adding structural magnetic resonance imaging (MRI) brain measures to the model. Methods Adults with acute post-traumatic headache (enrolled 0–59 days post-mild traumatic brain injury) underwent T1-weighted brain MRI and completed three questionnaires (Sports Concussion Assessment Tool, Pain Catastrophizing Scale, and the Trait Anxiety Inventory Scale). Individuals with post-traumatic headache completed an electronic headache diary allowing for determination of headache improvement at three- and at six-month follow-up. Questionnaire and MRI measures were used to train prediction models of headache improvement and headache trajectory. Results Forty-three patients with post-traumatic headache (mean age = 43.0, SD = 12.4; 27 females/16 males) and 61 healthy controls were enrolled (mean age = 39.1, SD = 12.8; 39 females/22 males). The best model achieved cross-validation Area Under the Curve of 0.801 and 0.805 for predicting headache improvement at three and at six months. The top contributing MRI features for the prediction included curvature and thickness of superior, middle, and inferior temporal, fusiform, inferior parietal, and lateral occipital regions. Patients with post-traumatic headache who did not improve by three months had less thickness and higher curvature measures and notably greater baseline differences in brain structure vs. healthy controls (thickness: p < 0.001, curvature: p = 0.012) than those who had headache improvement. Conclusions A model including clinical questionnaire data and measures of brain structure accurately predicted headache improvement in patients with post-traumatic headache and achieved improvement compared to a model developed using questionnaire data alone.
A History of Abuse is Associated with More Severe Migraine- and Pain-Related Disability: Results from the American Registry of Migraine Research (ARMR) (P11-12.009)
Trivedi, Meesha , Dumkrieger, Gina , Chong, Catherine D. , Schwedt, Todd J.

Neurology | April 28, 2023 | Volume: 100 | Issue: 17_supplement_2 | Pages: No page available

10.1212/wnl.0000000000202681 Get It

A Machine Learning Model Including Questionnaire and Structural Imaging Data Predicts Headache Improvement in Patients with Acute Post-traumatic Headache Attributed to Mild Traumatic Brain Injury (P8-12.002)
Li, Jing , Nikjou, Devin, Ross, Katherine , Mao, Lingchao, Chong, Catherine D. , Schwedt, Todd J. , Berisha, Visar , Wu, Teresa , Dumkrieger, Gina

Neurology | April 28, 2023 | Volume: 100 | Issue: 17_supplement_2 | Pages: No page available

10.1212/wnl.0000000000202432 Get It