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. Author manuscript; available in PMC: 2009 Jun 25.
Published in final edited form as: Brain Imaging Behav. 2008 Sep 1;2(3):147–226. doi: 10.1007/s11682-008-9028-1

Table 5.

Prediction performances obtained with various number of components, (M/2, M), and activation networks from three differnet tasks: A PCA step is used to find the first M PCs of the training set, for M = 4, 6, 10, 14, 20, 30, 40, 50

Temporal
 Temporal
 Best Fit to Regress.
 Best Fit to Regress.
 Temporal
Odd comp12
 Sirp comp16
 Sirp comp11
 Sirp comp03
 Sm comp17
10% 20% 30% 40% 10% 20% 30% 40% 10% 20% 30% 40% 10% 20% 30% 40% 10% 20% 30% 40%
Number of Components Used (25,50) PD 0.97 0.97 1.00 1.00 0.94 0.97 0.97 0.97 0.97 0.97 1.00 1.00 0.94 0.97 0.97 0.97 1.00 1.00 1.00 1.00
PFA 0.53 0.61 0.69 0.75 0.56 0.68 0.76 0.76 0.53 0.59 0.62 0.76 0.53 0.68 0.74 0.76 0.46 0.54 0.63 0.69
Pall 0.71 0.67 0.64 0.61 0.68 0.64 0.59 0.59 0.71 0.68 0.68 0.61 0.70 0.64 0.61 0.59 0.78 0.74 0.69 0.67
(20,40) PD 0.94 0.94 1.00 1.00 0.88 0.97 0.97 0.97 0.84 0.91 0.94 0.97 0.91 0.94 0.97 0.97 0.97 1.00 1.00 1.00
PFA 0.33 0.56 0.67 0.78 0.32 0.59 0.71 0.71 0.47 0.59 0.62 0.65 0.47 0.65 0.71 0.79 0.40 0.46 0.60 0.63
Pall 0.80 0.69 0.66 0.60 0.77 0.68 0.62 0.62 0.68 0.65 0.65 0.65 0.71 0.64 0.62 0.58 0.79 0.78 0.71 0.69
(15,30) PD 0.80 0.94 0.94 0.94 0.75 0.88 0.94 0.97 0.84 0.84 0.88 0.97 0.88 0.91 0.97 1.00 0.97 1.00 1.00 1.00
PFA 0.28 0.36 0.58 0.75 0.26 0.44 0.62 0.65 0.29 0.41 0.53 0.56 0.38 0.53 0.68 0.68 0.37 0.46 0.51 0.63
Pall 0.80 0.79 0.67 0.59 0.74 0.71 0.65 0.65 0.77 0.71 0.67 0.70 0.74 0.68 0.64 0.65 0.81 0.78 0.75 0.69
(10,20) PD 0.79 0.91 0.94 0.97 0.66 0.88 0.91 0.97 0.81 0.88 0.88 1.00 0.75 0.88 0.94 0.97 0.89 1.00 1.00 1.00
PFA 0.17 0.31 0.50 0.67 0.18 0.29 0.62 0.71 0.26 0.35 0.44 0.59 0.26 0.47 0.50 0.65 0.20 0.46 0.57 0.63
Pall 0.81 0.80 0.71 0.64 0.74 0.79 0.64 0.62 0.77 0.76 0.71 0.70 0.74 0.70 0.71 0.65 0.85 0.78 0.72 0.69
(7,14) PD 0.65 0.82 0.91 0.97 0.50 0.69 0.81 0.84 0.81 0.91 0.91 1.00 0.81 0.84 0.91 0.94 0.92 0.97 1.00 1.00
PFA 0.19 0.22 0.42 0.61 0.12 0.29 0.47 0.68 0.21 0.32 0.50 0.56 0.21 0.38 0.41 0.53 0.20 0.43 0.54 0.63
Pall 0.73 0.80 0.74 0.67 0.70 0.70 0.67 0.58 0.80 0.79 0.70 0.71 0.80 0.73 0.74 0.70 0.86 0.78 0.74 0.69
(5,10) PD 0.50 0.74 0.76 0.88 0.53 0.72 0.78 0.91 0.75 0.91 0.91 0.94 0.81 0.88 0.91 0.91 0.95 0.95 1.00 1.00
PFA 0.17 0.22 0.33 0.44 0.09 0.24 0.32 0.50 0.18 0.24 0.38 0.50 0.18 0.32 0.50 0.56 0.20 0.43 0.51 0.60
Pall 0.67 0.76 0.71 0.71 0.73 0.74 0.73 0.70 0.79 0.83 0.76 0.71 0.82 0.77 0.70 0.67 0.88 0.76 0.75 0.71
(3,6) PD 0.44 0.65 0.76 0.85 0.53 0.66 0.75 0.84 0.84 0.94 0.94 0.97 0.59 0.72 0.81 0.88 0.78 0.95 0.95 1.00
PFA 0.11 0.22 0.28 0.44 0.12 0.18 0.32 0.47 0.12 0.21 0.32 0.50 0.15 0.24 0.33 0.47 0.17 0.34 0.46 0.51
Pall 0.67 0.71 0.74 0.70 0.71 0.74 0.71 0.68 0.86 0.86 0.80 0.73 0.73 0.74 0.71 0.70 0.81 0.81 0.75 0.75
(2,4) PD 0.35 0.53 0.68 0.85 0.44 0.59 0.69 0.81 0.78 0.88 0.94 0.94 0.56 0.69 0.81 0.88 0.65 0.78 0.92 0.95
PFA 0.11 0.17 0.39 0.47 0.12 0.24 0.32 0.47 0.03 0.18 0.26 0.53 0.12 0.21 0.29 0.47 0.11 0.29 0.37 0.46
Pall 0.63 0.69 0.64 0.69 0.67 0.68 0.68 0.67 0.88 0.85 0.83 0.70 0.73 0.74 0.76 0.70 0.76 0.75 0.78 0.75

Following this, PP was used to reduce the number of dimensions to M/2. Probability of detection (PD = TP/(TP+FN) = sensitivity), probability of false alarm (PFA = FP/(FP+TN) = false discovery rate), overall detection performance (PAll = (TP+TN)/(TP+FP+TN+FN)) were reported for different predicted false alarm rate thresholds (10%, 20%, 30%, 40%). A total of 70 subjects (36 healthy controls and 34 patients with schizophrenia) from the New Mexico site of the MIND network were used. Performances for components with temporal lobe activation (AOD 12th, SIRP 16th and SM 17th) and components with best fit to regressors (AOD 12th, SIRP 11th and SM 17th or AOD 12th, SIRP 3rd and SM 17th) can be compared. After elimination 6000 voxels were obtained and then noise in the masks was removed with a filter