. Author manuscript; available in PMC: 2014 Dec 1.

Published in final edited form as: Neuroimage. 2013 Jun 21;83:10.1016/j.neuroimage.2013.06.033. doi: 10.1016/j.neuroimage.2013.06.033

Table 2.

Accuracy of classifications based on elastic net regression with and without LLE feature embeddings

		CN vs. s-MCI			CN vs. c-MCI			CN vs. AD			s-MCI vs. c-MCI			s-MCI vs. AD			c-MCI vs. AD
		ACR	SEN	SPE	ACR	SEN	SPE	ACR	SEN	SPE	ACR	SEN	SPE	ACR	SEN	SPE	ACR	SEN	SPE
Volumes	EN	0.56^a	0.59	0.54	0.78	0.79	0.77	0.82	0.85	0.80	0.46^a	0.48	0.44	0.59^a	0.70	0.48	0.50^a	0.45	0.54
	EN+LLE	0.64	0.53	0.72	0.81	0.80	0.82	0.87	0.80	0.91	0.69	0.66	0.72	0.77	0.85	0.69	0.51^a	0.52	0.51
	p-value^b	0.09			0.02			0.01			<0.001			<0.001			0.62

Cortical thickness	EN	0.55^a	0.53	0.57	0.75	0.69	0.80	0.83	0.78	0.86	0.56^a	0.53	0.59	0.67	0.79	0.56	0.59^a	0.69	0.51
	EN+LLE	0.62	0.57	0.66	0.78	0.79	0.78	0.85	0.79	0.89	0.61	0.48	0.74	0.71	0.78	0.65	0.58^a	0.70	0.48
	p-value^b	0.09			0.03			0.09			0.54			0.37			0.39

Thickness +volumes	EN	0.55^a	0.53	0.57	0.75	0.67	0.80	0.80	0.73	0.84	0.56^a	0.65	0.46	0.60	0.59	0.61	0.48^a	0.67	0.30
	EN+LLE	0.64	0.65	0.63	0.82	0.81	0.82	0.90	0.86	0.93	0.68	0.80	0.56	0.75	0.77	0.73	0.56^a	0.51	0.61
	p-value^b	0.01			<0.001			<0.001			0.007			<0.001			0.02

indicates classification is not better than by chance (p>0.05), whereas no superscripts indicate a significant classification;

p-value of improvement with LLE compared to non-LLE.