A longitudinal magnetic resonance imaging study of neurodegenerative and small vessel disease, and clinical cognitive trajectories in non demented patients with transient ischemic attack: the PREVENT study.
Sana TariqChristopher D d'EsterreTolulope T SajobiEric E SmithRichard Stewart LongmanRichard FrayneShelagh B CouttsNils D ForkertPhilip A BarberPublished in: BMC geriatrics (2018)
The PREVENT study expects to demonstrate that TIA patients have increased early progressive rates of cerebral brain atrophy after TIA, before cognitive decline can be clinically detected. By developing and optimizing high-level machine learning models based on clinical data, image-based (quantitative susceptibility mapping, regional brain, and white matter lesion volumes) features, and cerebrospinal fluid biomarkers, PREVENT will provide a timely opportunity to identify individuals at greatest risk of late-life cognitive decline early in the course of disease, supporting future therapeutic strategies for the promotion of healthy aging.
Keyphrases
- cognitive decline
- white matter
- magnetic resonance imaging
- machine learning
- mild cognitive impairment
- end stage renal disease
- multiple sclerosis
- cerebral ischemia
- chronic kidney disease
- computed tomography
- deep learning
- mass spectrometry
- high resolution
- subarachnoid hemorrhage
- resting state
- big data
- brain injury
- blood brain barrier
- high density