Personalizing progressive changes to brain structure in Alzheimer's disease using normative modeling.
Serena VerdiSaige RutherfordCharlotte FrazaDuygu TosunAndre AltmannLars Lau RaketJonathan M SchottAndre F MarquandJames H Colenull nullPublished in: Alzheimer's & dementia : the journal of the Alzheimer's Association (2024)
Neuroanatomical normative modeling was applied to serial Alzheimer's disease (AD) magnetic resonance imaging (MRI) data for the first time. Deviation from the norm (outliers) of cortical thickness or brain volume was computed in 3233 scans. The number of brain-structure outliers increased over time in people with AD. Patterns of change in outliers varied markedly between individual patients with AD. People with mild cognitive impairment whose outliers increased over time had a higher risk of progression from AD.
Keyphrases
- mild cognitive impairment
- cognitive decline
- magnetic resonance imaging
- resting state
- white matter
- contrast enhanced
- computed tomography
- functional connectivity
- multiple sclerosis
- diffusion weighted imaging
- cerebral ischemia
- optical coherence tomography
- electronic health record
- magnetic resonance
- big data
- subarachnoid hemorrhage
- artificial intelligence