Table 6 Ordinary least squares simple regression outputs for SER T-scores to predict ERSP over significant sensor-time–frequency clusters for emotion recognition.

From: Autistic traits shape neuronal oscillations during emotion perception under attentional load modulation

Dependent variable

Estimate

Standard error

T-Value

p-Value

ERSP Cluster 1—Anger

0.02

0.007

2.43

0.16

ERSP Cluster 1 Theta—Disgust

0.03

0.009

2.96

0.04*

ERSP Cluster 1—Fear

0.02

0.006

3.83

0.0024**

ERSP Cluster 1 Alpha—Fear

0.014

0.006

2.18

0.24

ERSP Cluster 1 Theta—Fear

0.03

0.01

3

0.032*

ERSP Cluster 3—Happiness

0.02

0.006

3.1

0.024*

ERSP Cluster 2—Neutral

− 0.02

0.007

− 2.87

0.048*

ERSP Cluster 2 Alpha—Neutral

− 0.02

0.008

− 2.11

0.32

  1. Significant values are in bold.
  2. “*” p < 0.05, “**” p < 0.01, and “***” p < 0.001; Clusters are significant ones for emotion effect during 4-disc condition detailed in Table 3.
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