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

Table 1 Parameter estimates and results of the univariate ROI analysis (comparison between ROIs)

	Estimate	Std. Error	df	t	p
Fixed effects
(Intercept)	0.06	0.01	47.78	5.64	8.9 × 10^− 7
Faces	0.00	0.01	842.90	−0.04	0.97
Places	−0.01	0.01	842.90	−0.97	0.33
Right Hemisphere	0.01	0.01	842.90	1.08	0.28
Control ROI	−0.08	0.01	842.90	−8.07	2.6 × 10^− 15
Faces × Right Hemisphere	−0.01	0.01	842.90	−0.52	0.60
Places × Right Hemisphere	0.00	0.01	842.90	−0.18	0.86
Faces × Control ROI	0.00	0.01	842.90	0.20	0.84
Places × Control ROI	0.00	0.01	842.90	−0.30	0.76
Right Hemisphere × Control ROI	0.00	0.01	842.90	−0.04	0.97
Faces × Right Hemisphere × Control ROI	0.00	0.02	842.90	−0.10	0.92
Places × Right Hemisphere × Control ROI	0.00	0.02	842.90	0.06	0.96
Random effects	Variance
Participant	0.001
Run	0.000
Main effects	χ²	p
Stimulus	7.19	0.027
ROI	399.77	2.0 × 10^− 16
Hemisphere	3.05	0.081
Interactions
Stimulus × ROI	0.32	0.852
Stimulus × Hemisphere	0.78	0.678
ROI × Hemisphere	0.01	0.922
Stimulus × ROI × Hemisphere	0.02	0.987

We used mean percent signal change values for places, objects and faces from individual global shape TPJ ROIs and control ROIs as dependent variable. Stimulus, ROI, and hemisphere were set as fixed effects and participant and run were set as random effects 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

ISSN: 1744-9081