Skip to Main Content
Table 5. 
Summary Tables for Multiple Regression Analyses
PredictorsRepeatedManipulatedNovel
βtsrβtsrβtsr
(A) Multiple regression analyses with brain region volumes as predictors for the proportion of fixations directed to the critical object ROI in each test condition 
CA1 −.567 −1.869 −.325 −500 −1.847 −.287 −.439 −1.465 −.252 
Subiculum .478 1.725 .300 .381 1.542 .240 .303 1.106 .190 
DG/CA23 .016 0.063 .011 −.131 −0.591 −.092 .096 0.391 .067 
PRC .321 1.420 .247 .133 0.661 .103 .336 1.502 .259 
alERC .252 1.264 .220 .464* 2.607 .405 .420* 2.131 .367 
pmERC −.239 −0.940 −.164 .074 0.328 .051 −.163 −0.647 −.112 
PHC .460* 2.114 .368 .484* 2.497 .388 .098 0.456 .079 
  F(7, 22) = 1.566, p = .198 F(7, 22) = 2.775, p = .031 F(7, 22) = 1.672, p = .168 
  R2 = .333, Radj2 = .120 R2 = .469, Radj2 = .300 R2 = .347, Radj2 = .140 
  
(B) Multiple regression analyses with brain region volumes as predictors for the proportion of fixations directed to the empty ROI in each test condition 
CA1 −.266 −0.838 −.153 .112 0.347 .064 −.140 −0.415 −.080 
Subiculum .110 0.380 .069 .171 0.580 .108 −.028 −0.091 −.018 
DG/CA23 .338 1.299 .237 .184 0.694 .129 .431 1.560 .302 
PRC −.372 −1.573 −.287 −.247 −1.027 −.191 −.299 −1.189 −.230 
alERC .405 1.942 .354 .302 1.419 .263 −.062 −0.279 −.054 
pmERC −.031 −0.117 −.021 .095 0.352 .065 .027 0.096 .019 
PHC −.223 −0.981 −.179 −.307 −1.327 −.246 −.173 −0.716 −.139 
  F(7, 22) = 1.161, p = .364 F(7, 22) = 1.006, p = .454 F(7, 22) = 0.663, p = .700 
  R2 = .270, Radj2 = .037 R2 = .242, Radj2 = .001 R2 = .174, Radj2 = −.089 
  
(C) Multiple regression analyses with brain region volumes as predictors for the test/study ratio in each test condition 
CA1 −.354 −1.174 −.203 −.177 −0.534 −.102 −.246 −0.781 −.141 
Subiculum −.113 −0.410 −.071 .527 1.739 .331 .348 1.211 .219 
DG/CA23 .317 1.282 .222 −.347 −1.276 −.243 .274 1.062 .192 
PRC −.193 −0.859 −.149 .181 0.731 .139 .385 1.639 .296 
alERC −.276 −1.392 −.241 .050 0.230 .044 .083 0.403 .073 
pmERC .025 0.099 .017 −.412 −1.486 −.283 −.429 −1.629 −.295 
PHC −.146 −.673 −.117 .223 0.940 .179 −.051 −0.227 −.041 
  F(7, 22) = 1.616, p = .183 F(7, 22) = 0.801, p = .595 F(7, 22) = 1.227, p = .330 
  R2 = .340, Radj2 = .129 R2 = .203, Radj2 = −.050 R2 = .281, Radj2 = .052 
  
PredictorsalERC PHC
βtsrβtsr
(D) Multiple regression analyses with MoCA, age and viewing to the critical object ROI in the manipulated condition (object-in-place memory) as predictors for alERC and PHC volume 
MoCA .358* 2.148 .347   .132 0.741 .127 
Age .052 0.312 .050   −.258 −1.452 −.250 
Proportion of fixations to critical object ROI .438* 2.711 .438   .355* 2.062 .355 
  F(3, 26) = 4.115, p = .016   F(3, 26) = 2.598, p = .074 
  R2 = .322, Radj2 = .244   R2 = .231, Radj2 = .142 
PredictorsRepeatedManipulatedNovel
βtsrβtsrβtsr
(A) Multiple regression analyses with brain region volumes as predictors for the proportion of fixations directed to the critical object ROI in each test condition 
CA1 −.567 −1.869 −.325 −500 −1.847 −.287 −.439 −1.465 −.252 
Subiculum .478 1.725 .300 .381 1.542 .240 .303 1.106 .190 
DG/CA23 .016 0.063 .011 −.131 −0.591 −.092 .096 0.391 .067 
PRC .321 1.420 .247 .133 0.661 .103 .336 1.502 .259 
alERC .252 1.264 .220 .464* 2.607 .405 .420* 2.131 .367 
pmERC −.239 −0.940 −.164 .074 0.328 .051 −.163 −0.647 −.112 
PHC .460* 2.114 .368 .484* 2.497 .388 .098 0.456 .079 
  F(7, 22) = 1.566, p = .198 F(7, 22) = 2.775, p = .031 F(7, 22) = 1.672, p = .168 
  R2 = .333, Radj2 = .120 R2 = .469, Radj2 = .300 R2 = .347, Radj2 = .140 
  
(B) Multiple regression analyses with brain region volumes as predictors for the proportion of fixations directed to the empty ROI in each test condition 
CA1 −.266 −0.838 −.153 .112 0.347 .064 −.140 −0.415 −.080 
Subiculum .110 0.380 .069 .171 0.580 .108 −.028 −0.091 −.018 
DG/CA23 .338 1.299 .237 .184 0.694 .129 .431 1.560 .302 
PRC −.372 −1.573 −.287 −.247 −1.027 −.191 −.299 −1.189 −.230 
alERC .405 1.942 .354 .302 1.419 .263 −.062 −0.279 −.054 
pmERC −.031 −0.117 −.021 .095 0.352 .065 .027 0.096 .019 
PHC −.223 −0.981 −.179 −.307 −1.327 −.246 −.173 −0.716 −.139 
  F(7, 22) = 1.161, p = .364 F(7, 22) = 1.006, p = .454 F(7, 22) = 0.663, p = .700 
  R2 = .270, Radj2 = .037 R2 = .242, Radj2 = .001 R2 = .174, Radj2 = −.089 
  
(C) Multiple regression analyses with brain region volumes as predictors for the test/study ratio in each test condition 
CA1 −.354 −1.174 −.203 −.177 −0.534 −.102 −.246 −0.781 −.141 
Subiculum −.113 −0.410 −.071 .527 1.739 .331 .348 1.211 .219 
DG/CA23 .317 1.282 .222 −.347 −1.276 −.243 .274 1.062 .192 
PRC −.193 −0.859 −.149 .181 0.731 .139 .385 1.639 .296 
alERC −.276 −1.392 −.241 .050 0.230 .044 .083 0.403 .073 
pmERC .025 0.099 .017 −.412 −1.486 −.283 −.429 −1.629 −.295 
PHC −.146 −.673 −.117 .223 0.940 .179 −.051 −0.227 −.041 
  F(7, 22) = 1.616, p = .183 F(7, 22) = 0.801, p = .595 F(7, 22) = 1.227, p = .330 
  R2 = .340, Radj2 = .129 R2 = .203, Radj2 = −.050 R2 = .281, Radj2 = .052 
  
PredictorsalERC PHC
βtsrβtsr
(D) Multiple regression analyses with MoCA, age and viewing to the critical object ROI in the manipulated condition (object-in-place memory) as predictors for alERC and PHC volume 
MoCA .358* 2.148 .347   .132 0.741 .127 
Age .052 0.312 .050   −.258 −1.452 −.250 
Proportion of fixations to critical object ROI .438* 2.711 .438   .355* 2.062 .355 
  F(3, 26) = 4.115, p = .016   F(3, 26) = 2.598, p = .074 
  R2 = .322, Radj2 = .244   R2 = .231, Radj2 = .142 

In all three tables, multiple regression models were run separately for trials in each test condition. Each model is shown in its own column. p < .1, *p < .05, **p < .01 (reflect tests for significance of each predictor). Boldface indicates significant predictors in significant multiple regression models.

Close Modal

or Create an Account

Close Modal
Close Modal