Table 2.

Clusters for human-nonhuman distinction identified with the searchlight MVPA using a cross-validation approach for decoding scheme 1 and 2 (chance accuracy is 50%) and the conjunction of the maps obtained by the two schemes.

		Cluster				Peak
		t	p	accuracy	size	t	p	accuracy	x	y	z
Decoding Scheme 1 (train: man vs. chicken, test: baby vs. cat)
L	pSTS	4.185	0.0005*	56.7	251	5.287	0.00004	57.9	−45	−52	22
L	PCC	4.328	0.0004*	56.5	359	5.576	0.00002	57.7	−9	−46	16
R	IOG	4.43	0.0003*	58	484	5.757	0.00001	60.7	12	−82	−17
L	IOG	4.258	0.0005*	56.9	2257	5.578	0.00002	58.3	−16	−100	−8
Decoding Scheme 2 (train: man vs. cat test: baby vs. chicken)
L	pSTS	4.351	0.0005	56	1825	5.829	0.00001	58.3	−48	−45	13
L	PCC	3.978	0.0008	56.2	667	4.675	0.00014	58	−6	−46	22
Conjunction
L	pSTS	3.411	0.0031	55.9	69	4.264	0.00038	56.9	−48	−58	19
L	PCC	3.393	0.0031	55.4	202	3.864	0.00097	56	−12	−43	22

Statistical maps of classification accuracy in %; size in mm³. The results of Decoding Scheme 2 are cluster-based corrected using Monte Carlo simulations (10.000 iterations). The results of Decoding Scheme 1 are uncorrected. *Values uncorrected at cluster level; R, right; L, left; PCC, posterior cingulate cortex; IOG, inferior occipital gyrus; pSTS, posterior superior temporal sulcus.