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. 2018 Apr 2;28(7):1108–1115.e6. doi: 10.1016/j.cub.2018.02.038

Table 1.

Multiple Linear Regression to Predict Path Integration Performance of Older Adults in Body-Based and Visual Modality

Body-Based Modality
Predictor β t p Sign.
Grid-cell-like representations 0.069 2.717 0.022 p < 0.05
Age −0.002 −1.137 0.282 ns
Sex: male 0.023 1.784 0.105 ns
Self-reported spatial abilities (SBSODa) 0.003 0.472 0.647 ns
Spatial working memory (CORSIb) 0.005 1.724 0.115 ns
Spatial attention (TAPc) 0.000 0.832 0.425 ns
Working memory (TAPd) 0.000 −0.550 0.595 ns
Processing speed (DSSTe) 0.001 1.146 0.279 ns
Cognitive status (MoCAf) 0.004 1.431 0.183 ns

Visual Modality

Predictor β t p Sign.

Grid-cell-like representations 0.155 2.517 0.031 p < 0.05
Age 0.007 1.555 0.151 ns
Sex: male −0.023 −0.729 0.483 ns
Self-reported spatial abilities (SBSODa) 0.006 0.425 0.680 ns
Spatial working memory (CORSIb) 0.012 1.559 0.150 ns
Spatial attention (TAPc) 0.000 0.521 0.613 ns
Working memory (TAPd) 0.000 −0.761 0.464 ns
Processing speed (DSSTe) 0.000 0.116 0.910 ns
Cognitive status (MoCAf) 0.009 1.280 0.229 ns

ns, not significant.

a

Santa Barbara Sense of Direction Scale

b

Corsi block-tapping test

c

Testbattery for Attentional Performance (TAP): subtest “visual scanning”

d

Testbattery for Attentional Performance (TAP): subtest “working memory”

e

Digit symbol substitution test (WAIS-IV)

f

Montreal Cognitive Assessment