Investigating changes in resting-state connectivity from functional MRI data in patients with HIV associated neurocognitive disorder using MCA and machine learning.
Adora M. DSouzaAnas Z. AbidinAxel WismüllerPublished in: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2017)
Keyphrases
- resting state
- mri data
- activation detection
- motion correction
- machine learning
- functional connectivity
- brain activity
- magnetic resonance imaging
- brain connectivity
- fully automatic
- healthy subjects
- brain tissue
- white matter
- mr images
- brain regions
- magnetic resonance images
- mr imaging
- synthetic data
- functional magnetic resonance imaging
- dce mri
- diffusion tensor imaging
- human brain
- pattern recognition
- data mining
- computer vision
- dt mri
- contrast enhanced
- data analysis
- contrast agent
- brain imaging
- data management
- data sets
- medical images
- mild cognitive impairment
- pattern classification
- human subjects