Table 5.

A brief description of the datasets used for the validation of DTI based AD classification frameworks

Study	Subjects					Type	Classification algorithm	Database	Accuracy
	AD	MCI	pMCI	sMCI	CN				AD/CN	MCI/CN	sMCI/pMCI
(Nir et al., 2015)	37	113	—	—	50	Tractography	SVM	ADNI	80.60	68.30	—
(Wee et al., 2011)	—	10	—	—	17	Network	SVM	BIAC	—	88.90	—
(Prasad et al., 2015)	38	—	38	74	50	Network	SVM	ADNI	78.20	62.801, 59.202	63.40
(Dyrba et al., 2013)	137	—	—	—	143	DVS	SVM	EDSD	83.00	—	—
(Dyrba et al., 2015a)	—	—	35	35	25	DVS	SVM	EDSD	—	77.00	68.00

DVS = Discriminative voxel selection

EDSD = European DTI study on Dementia

BIAC = Brain imaging and analysis center, Duke University, North Carolina, USA

For (Dyrba et al., 2015a), pMCI = amyloid+, sMCI = amyloid-

For (Prasad et al., 2015), pMCI = late MCI, sMCI = early MCI

¹_{= CN}/late MCIs

²= CN/early MCIs