Beyond visual integration: sensitivity of the temporal-parietal junction for objects, places, and faces

Table 5 Parameter estimates and results of the multivariate ROI analysis (comparison of linear and radial kernels)

	Estimate	Std. Error	df	t	p
Fixed effects
(Intercept)	36.11	2.76	214.67	13.08	< 2 × 10^− 16
Kernel Radial	−5.21	3.86	198.00	−1.35	0.18
Objects	5.79	3.86	198.00	1.50	0.14
Places	7.41	3.86	198.00	1.92	0.06
Hemisphere	6.25	3.86	198.00	1.62	0.11
Kernel Radial × Objects	1.51	5.46	198.00	0.28	0.78
Kernel Radial × Places	−1.74	5.46	198.00	−0.32	0.75
Kernel Radial × Hemisphere	−5.32	5.46	198.00	−0.98	0.33
Objects × Hemisphere	−7.06	5.46	198.00	−1.29	0.20
Places × Hemisphere	−12.38	5.46	198.00	−2.27	0.02
Kernel Radial × Objects × Hemisphere	4.05	7.72	198.00	0.53	0.60
Kernel Radial × Places × Hemisphere	9.26	7.72	198.00	1.20	0.23
Random effects	Variance
Participant	3.26
Main effects	χ²	p
Kernel	13.23	2.8 × 10^− 4
Stimulus	4.50	0.106
Hemisphere	0.18	0.668
Interactions
Kernel × Stimulus	0.95	0.622
Kernel × Hemisphere	0.08	0.778
Stimulus × Hemisphere	4.16	0.125
Kernel × Stimulus × Hemisphere	1.45	0.485

We used individual predictive values for objects, faces and places as dependent variable. Kernel, stimulus and hemisphere were set as fixed effects and participant was set as random effect in a linear mixed-effects model. The upper rows show the parameter estimates for each factor in the model as well as the variance of the random effects. The lower rows show the results of the chi-square test of the model, with one degree of freedom for each factor

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