Brain connectomic associations with traditional Chinese medicine diagnostic classification of major depressive disorder: a diffusion tensor imaging study

Table 3 DTI-based connectomic analysis in patients with TCM-based subtypes of MDD

Brain regions	HC (n = 28)	LQS (n = 26)	HSD (n = 18)	ANCOVA		Bonferroni correction t-test
Brain regions	HC (n = 28)	LQS (n = 26)	HSD (n = 18)	F _2,68	P	HC/LQS	HC/HSD	HSD/LQS
Nodal degree
Calcarine sulcus	27.3 ± 3.1	24.7 ± 2.9^#	25.5 ± 3.2	3.584	0.033	< 0.001	0.279	0.451
Angular gyrus	11.7 ± 2.0	14.0 ± 3.9*	11.8 ± 2.7*	4.407	0.016	0.062	1.000	< 0.001
Betweenness centrality
Insula	187.9 ± 142.5	231.5 ± 177.9*	349.7 ± 162.6^#*	5.614	0.006	1.000	< 0.001	< 0.001
Posterior cingulate gyrus	138.6 ± 98.7	185.9 ± 148.0	232.8 ± 147.7^#	3.555	0.034	0.480	< 0.001	0.131
Middle occipital gyrus	183.8 ± 161.5	287.9 ± 173.1*	185.6 ± 131.2*	3.556	0.034	0.094	1.000	0.003
Heschl’s gyrus	85.3 ± 61.1	166.1 ± 201.7^#*	99.2 ± 102.5*	3.497	0.036	< 0.001	1.000	0.007
Clustering coefficient
Parahippocampal gyrus	0.024 ± 0.009	0.027 ± 0.006	0.031 ± 0.011^#	3.206	0.047	0.718	< 0.001	0.081
Fractional anisotropy (FA)
Frontal medial orbital gyrus	0.217 ± 0.016	0.213 ± 0.020*	0.200 ± 0.015^#*	4.580	0.014	1.000	< 0.001	< 0.001
Middle temporal pole	0.227 ± 0.015	0.228 ± 0.023*	0.215 ± 0.015^#*	3.704	0.030	1.000	< 0.001	< 0.001
Mean diffusivity (MD)
Frontal medial orbital gyrus	0.770 ± 0.034	0.767 ± 0.029*	0.794 ± 0.024^#*	4.933	0.010	1.000	< 0.001	< 0.001

Data are expressed as mean ± SD. Analysis of covariance (ANCOVA) was used to detect significance, followed by Bonferroni correction t-test for pairwise comparisons: ^#P < 0.05, vs. healthy controls; *P < 0.05, between the two subtypes. Those which P values examined with pairwise comparisons are highlighted as red fonts
HC healthy controls, LQS liver qi stagnation subtype, HSD heart and spleen deficiency subtype

ISSN: 1749-8546