Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia.
JungHoe KimVince D. CalhounEunsoo ShimJong-Hwan LeePublished in: NeuroImage (2016)
Keyphrases
- functional connectivity
- resting state
- brain regions
- brain activity
- functional magnetic resonance imaging
- neural network
- feature extraction
- feature set
- healthy subjects
- brain connectivity
- extracted features
- feature space
- pattern recognition
- eeg signals
- human brain
- activation detection
- pattern classification
- working memory
- event related
- prefrontal cortex
- brain imaging
- feature selection
- high dimensional
- multi channel
- information processing
- cognitive states
- diffusion tensor imaging
- brain images
- decision making