Lateral ventricle volume trajectories predict response inhibition in older age-A longitudinal brain imaging and machine learning approach.
Astri Johansen LundervoldAlexandra VikArvid LundervoldPublished in: PloS one (2019)
Major contributions were: (i) a longitudinal design, (ii) advanced brain imaging and segmentation procedures with longitudinal data analysis, and (iii) a data driven machine learning approach including cross-validation and permutation testing to predict behaviour, solely from the individual's brain "signatures" (LVV trajectories).
Keyphrases
- machine learning
- data analysis
- resting state
- white matter
- high resolution
- functional connectivity
- depressive symptoms
- deep learning
- artificial intelligence
- cerebral ischemia
- physical activity
- big data
- minimally invasive
- pulmonary artery
- middle aged
- dna methylation
- brain injury
- mass spectrometry
- blood brain barrier
- left ventricular
- congenital heart disease
- photodynamic therapy