Facial emotion detection in Vestibular Schwannoma patients with and without facial paresis

Figures & data

Figure 1. Examples of a male happy face and a male angry face, image noise levels of 10 until 80%

Figure 2. The effect of visual noise per type of emotional expression for patients with Vestibular Schwannoma with and without facial paresis

Table 1. Facial paresis (present vs. absent) and classification accuracy of happy facial expressions testing difference from chance (50%)

	No Facial paresis				Facial paresis
Visual noise	M (SD)	t	p	d	M (SD)	t	p	d
10%	98.86% (5.33)	43.00	<.001	9.17	100% (0.00)	NA	NA	NA
20%	98.86% (3.68)	62.31	<.001	13.29	100% (0.00)	NA	NA	NA
30%	99.43% (2.67)	87.00	<.001	18.55	98.81% (3.76)	59.49	<.001	12.98
40%	98.86% (5.33)	43.00	<.001	9.17	100% (0.00)	NA	NA	NA
50%	100% (0.00)	NA	NA	NA	99.40% (2.73)	83.00	<.001	18.11
60%	99.43% (2.67)	87.00	<.001	18.55	98.81% (3.76)	59.49	<.001	12.98
70%	96.59% (7.89)	27.70	<.001	5.91	98.21% (4.48)	49.30	<.001	10.76
80%	92.61% (19.16)	10.43	<.001	2.23	96.43% (5.79)	36.77	<.001	8.02

NA = Not applicable: there are no statistics available due to absence of variance

Table 2. Facial paresis (present vs. absent) and classification accuracy of angry facial expressions testing difference from chance (50%)

	No Facial paresis				Facial paresis
Visual noise	M (SD)	t	p	d	M (SD)	t	p	d
10%	96.20% (6.99)	31.72	<.001	6.61	92.86% (14.02)	14.01	<.001	3.06
20%	96.74% (5.61)	39.94	<.001	8.33	90.48% (19.73)	9.40	<.001	2.05
30%	96.74% (5.61)	39.94	<.001	8.33	88.10% (16.04)	10.88	<.001	2.37
40%	88.04% (13.31)	13.70	<.001	2.86	86.31% (16.25)	10.24	<.001	2.23
50%	80.98% (15.93)	9.33	<.001	1.94	71.43% (20.97)	4.68	<.001	1.02
60%	60.33% (27.61)	1.79	.087	0.37	63.10% (22.87)	2.62	.016	0.57
70%	51.09% (26.89)	0.19	.848	0.04	48.81% (26.78)	−0.20	.841	−0.04
80%	41.30% (31.63)	−1.32	.201	−0.28	33.33% (24.47)	−3.12	.005	−0.68

Data availability statement

A data set is available and stored and can be requested from the corresponding author.