Table 5.
Main characteristics of the reviewed papers that use BNs with neuroimaging data: fMRI and MRI.
| Techniques | BN model | Aim | Application |
|---|---|---|---|
| fMRI | |||
| Iyer et al., 2013 | Gaussian BNs | Association | Resting-state (normal subjects) |
| Dawson et al., 2013 | Gaussian BNs | Association | Resting-state (normal subjects) |
| Li et al., 2011 | Gaussian BNs | Association | Resting-state (normal subjects) |
| Li et al., 2013 | Gaussian BNs | Association | Resting-state (aMCI vs. controls) |
| Labatut et al., 2004 | Gaussian dynamic BNs | Association | Phoneme task (normal vs. dyslexic) |
| Li et al., 2008 | Gaussian dynamic BNs | Association | Bulb squeeze (healthy vs. Parkinsonian) |
| Kim et al., 2008 | Discretized dynamic BNs | Association | Auditory task (schizophrenia vs. controls) |
| Zhang et al., 2005 | Mixed dynamic BNs (HMMs) | Association and sup. classification | Monetary reward task (drug addicted vs. healthy) |
| Rajapakse and Zhou, 2007 | Discretized dynamic BNs | Association | Silent reading and counting Stroop (normal subjects) |
| Sun et al., 2012 | Gaussian BNs | Association | Watching videos (normal subjects) |
| Neumann et al., 2010 | CPDAGs | Association | Meta-analysis |
| Mitchell et al., 2004 | Gaussian naive Bayes | Sup. classification | Prediction of cognitive states |
| Raizada and Lee, 2013 | Gaussian naive Bayes | Sup. classification | Distinction of phoneme sounds |
| Ku et al., 2008 | Gaussian naive Bayes | Sup. classification | Prediction of which category a monkey is viewing |
| Douglas et al., 2011 | Naive Bayes | Sup. classification | Belief vs. disbelief states |
| Burge et al., 2009 | Discretized dynamic BNs | Association and Sup. classification | Healthy vs. demented elderly subjects |
| Chen and Herskovits, 2007 | Inverse-tree classifier | Sup. classification | Young vs. non-demented vs. demented older |
| Naive Bayes (latent variable) | clustering | Inference of ROI state | |
| MRI | |||
| Joshi et al., 2010 | Gaussian BN | Association | Relationships between cortical surface areas |
| Wang et al., 2013 | Gaussian BN | Association | Interaction graphs for AD patients and controls |
| Chen et al., 2012a | Discretized dynamic BNs | Association | Temporal interactions in normal aging and MCI |
| Duering et al., 2013 | Gaussian BN | Association | Processing speed deficits in VCI patients |
| Morales et al., 2013 | Naive Bayes, selective naive Bayes | Sup. classification | Early diagnosis of Parkinson's disease |
| Diciotti et al., 2012 | Naive Bayes | Sup. classification | Early diagnosis of AD |
| Zhang et al., 2014 | Naive Bayes | Sup. classification | MCI vs. AD |
| Chen et al., 2012b | Ensemble of BNs | Sup. classification | Conversion from MCI to Alzheimer |