FusedNeXt-based anxiety detection from electroencephalography topographic maps: A comparative analysis of alpha, beta, and theta bands

Table 13 Paired statistical comparisons between frequency bands and model architectures

Comparison	Metric	Difference	95%CI of difference	Raw P value	Holm-adjusted P value	Statistical interpretation
Beta - alpha	Balanced accuracy	3.21	0.86-5.72	0.0110	0.0220	Significant
Theta - alpha	Balanced accuracy	4.47	1.98-7.18	0.0020	0.0060	Significant
Theta - beta	Balanced accuracy	1.26	-0.94 to 3.46	0.2380	0.2380	Not significant
Beta - alpha	Macro F1	3.31	0.91-5.83	0.0100	0.0200	Significant
Theta - alpha	Macro F1	4.57	2.02-7.31	0.0020	0.0060	Significant
Theta - beta	Macro F1	1.26	-1.01 to 3.51	0.2510	0.2510	Not significant
Beta - alpha	AUC	0.0344	0.0081-0.0617	0.0130	0.0260	Significant
Theta - alpha	AUC	0.0459	0.0180-0.0745	0.0030	0.0090	Significant
Theta - beta	AUC	0.0115	-0.0128 to 0.0354	0.3370	0.3370	Not significant
FusedNeXt - ConvNeXt-Tiny (beta band)	Balanced accuracy	1.29	0.21-2.41	0.0210	0.0420	Significant
FusedNeXt - ConvNeXt-Tiny (beta band)	Macro F1	1.18	0.09-2.32	0.0360	0.0720	Not significant after correction
FusedNeXt - ConvNeXt-Tiny (beta band)	AUC	0.0107	-0.0019 to 0.0234	0.0970	0.0970	Not significant

CI: Confidence interval; AUC: Area under the curve.