A probabilistic approach for pediatric epilepsy diagnosis using brain functional connectivity networks

BMC Bioinformatics

Table 1 Demographic characteristics of study subjects

			Age	Female/Male	Number of Segments
PC (n = 7)			12.86 ± 3.39*	3/4	13 ± 6.98
PE (n = 11)			9.09 ± 4.81	5/6	32.18 ± 22.41
p**			ns	ns	< 0.05
*Subject ID*	*Age*	*Gender*	*Diagnosis*	*Sampling Rate (Hz)*	*Number of Segments*
PC01	12	M	-	200	11
PC02	15	F	-	512	20
PC03	12	M	-	200	14
PC04	15	F	-	512	18
PC05	10	M	-	512	3
PC06	18	F	-	512	20
PC07	8	M	-	512	5
PE01	10	F	Left temporal dysplasia	200	14
PE02	7	F	Left frontal region	512	67
PE03	4	F	Right fronto-centro-temporal	512	39
PE04	14	M	Generalized	512	18
PE05	8	M	Right parietal	200	30
PE06	7	M	Left frontal pole, posterior frontal lobe	512	77
PE07	15	F	Left and right frontal	500	40
PE08	4	M	Right fronto-centro-temporal	512	25
PE09	2	F	Left temporal (posterior)	512	25
PE10	14	M	Generalized	512	6
PE11	15	M	Generalized	512	13

*Data Presented as mean ± S.D. where applicable
**Student t test (with statistical significance threshold of 0.05) was used to test for age and number of segments.
Fisher's exact test was used to test for gender.
PC = Pediatric Control; PE = Pediatric Epilepsy;
M: Male; F: Female.
ns: not significant.

ISSN: 1471-2105