Distinguishing persistent post-traumatic headache from migraine: Classification based on clinical symptoms and brain structural MRI data.
Catherine D ChongVisar BerishaKatherine RossMazher KahnGina M DumkriegerTodd J SchwedtPublished in: Cephalalgia : an international journal of headache (2021)
A classification model that included a combination of questionnaire data and structural imaging parameters classified individual patients as having migraine versus persistent post-traumatic headache with good accuracy. The most important clinical measures that contributed to the classification accuracy included questions on mood. Regional brain structures and fibertracts that play roles in pain processing and pain integration were important brain features that contributed to the classification accuracy. The lower classification accuracy for patients with persistent post-traumatic headache compared to migraine may be related to greater heterogeneity of patients in the persistent post-traumatic headache cohort regarding their traumatic brain injury mechanisms, and physical, emotional, and cognitive symptoms.
Keyphrases
- deep learning
- machine learning
- end stage renal disease
- traumatic brain injury
- ejection fraction
- newly diagnosed
- chronic kidney disease
- high resolution
- chronic pain
- resting state
- white matter
- pain management
- peritoneal dialysis
- magnetic resonance imaging
- physical activity
- mental health
- spinal cord injury
- patient reported outcomes
- multiple sclerosis
- bipolar disorder
- functional connectivity
- cross sectional
- mass spectrometry
- computed tomography
- magnetic resonance
- sleep quality
- patient reported
- spinal cord
- postoperative pain
- brain injury
- diffusion weighted imaging