Harmonic waves analysis for observing morphological brain network changes in depressive disorder patients
10.13929/j.issn.1003-3289.2024.01.004
- VernacularTitle:基于谐波分析法观察抑郁症患者脑网络形态学改变
- Author:
Kai XU
1
;
Zhiming GUO
;
Yawei ZENG
;
Dong ZHENG
;
Yankun WU
;
Ke LI
Author Information
1. 战略支援部队特色医学中心放射诊断科,北京 100101
- Keywords:
depressive disorder;
magnetic resonance imaging;
pulse wave analysis
- From:
Chinese Journal of Medical Imaging Technology
2024;40(1):22-26
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the feasibility of harmonic waves analysis for observing morphological brain network changes in patients with depressive disorder(DD).Methods Whole brain 3D high resolution T1WI of 55 DD patients(DD group)and 46 normal controls(NC group)were acquired.Six kinds of morphological features brain network were constructed with FreeSurfer tool,including the number of brain region vertices,surface area,gray matter volume,average cortical thickness,Gaussian curvature and fold index.Laplace operator was applied to obtain common harmonic wave.The harmonic power of different morphological features and the gray matter volume in different brain regions were compared between groups.Results No significant difference of total harmonic energy was found between groups.The specific harmonic wave energies were significantly different between groups,including the number of brain region vertices corresponding to the 2nd,6th,15th,44th and 57th harmonic waves,surface area corresponding to the 2nd,6th,16th and 57th harmonic waves,gray matter volume corresponding to the 2nd,12th,13th,15th and 57th harmonic waves,average cortical thickness corresponding to the 2nd,19th,35th,36th and 44th harmonic waves,Gaussian curvature corresponding to the 34th,40th,54th and 57th harmonic waves,as well as fold index corresponding to the 5th,16th,21st and 57th harmonic waves.Gray matter volumes of transverse temporal gyrus in left hemisphere in DD group were significantly larger than that in NC group(t=2.900,P=0.004).Conclusion Harmonic waves analysis was feasible for observing morphological brain network changes in DD patients.
