Journal of Jinan University Natural Science & Medicine Edition

The relationship between the high signal volume of cerebral white matter and the lateral ventricular rim with insomnia

XIONG Ruifang, ZHU Hanting, LI Chengyi, HU Pengxin, ZOU Yu, TANG Xiaoping

Journal of Jinan University Natural Science & Medicine Edition, 2024, 45(6): 674-380. DOI: 10.11778/j.jdxb.20240131

指标	失眠组(n=121)	对照组(n=124)	$\chi$²值	P值
性别			2.24	0.134
男	48(40)	62(50)
女	73(60)	62(50)
高血压			21.40	<0.001
有	64(53)	29(23)
无	57(47)	95(77)
糖尿病			10.03	0.002
有	30(25)	11(9)
无	91(75)	113(91)

Table 1 Clinical data of the insomnia group and the control group n(%)

Other figure/table from this article

Figure 1 United imaging artificial intelligence segmentation technology A-B: Fully automated layer-by-layer segmentation of outlined T2-Flair high signal in the lateral ventricular rim (yellow area), lateral paraventricular (blue area), deep white matter (red area), and proximal cortex (green area) with Cube Flair as a template, and calculation of its volume and its percentage; C: Fully automated identification of perivascular gaps across the whole brain (green area) with T2WI as a template.
Figure 2 MRI comparison of lateral ventricular rim WMSA (yellow area) in a insomnia and a good sleeper A-C: A 44-year-old female with good sleep and no intracranial organic lesions, her T2-Flair high signal volume in lateral ventricular rim was 1.21 cm³, accounting for 9.34% of the region; D-F: 64-year-old male with insomnia for 1 year, his sleep efficiency was 69.3% detected by PSG and his T2-Flair high signal volume in lateral ventricular rim was 3.81 cm³, accounting for 23.15%.
Table 2 WMSA volume and percentage of WMSA in various regions of the lateral paraventricular area in the insomnia and control group ($\bar{x}±s$)
Table 3 WMSA volume and percentage by region for patients with chronic insomnia and patients with short-term insomnia $\bar{x}±s$