Study on brain microstructure in patients with white matter hyperintensities and depressive symptoms based on multimodal MRI
Objective:To explore the changes in brain microstructure in patients with white matter hyperintensities and depression symptoms based on multimodal MRI.Materials and Methods:Thirty-five patients with white matter hyperintensities and mild depression,as well as 35 healthy individuals matched by age,gender and years of education were recruited.Clinical assessments and MRI data were collected.Tract-based spatial statistics(TBSS)and voxel-based morphometry(VBM)were used to investigate the microstructural changes of the brain between the two groups,and the correlation between the structural differences and the Hamilton Depression Scale(HAMD)score was analyzed.Results:Using the statistics of no-threshold-freecluster enhancement(TFCE)for permutation test and applying(family-wise error,FEW)to correct for multiple comparisons of the study results(P＜0.05).Significantly lower FA(P＜0.05)values were found in areas including the body of corpus callosum,bilateral posterior thalamic radiation,the right retrolenticular part of internal capsule,and right superior longitudinal fasciculus in the experimental group were statistically significant compared to the healthy group(P＜0.05);the experimental group showed a reduction in gray matter volume in brain regions such as bilateral hippocampus,right parahippocampal gyrus,anterior central gyrus,superior temporal gyrus,middle temporal gyrus,and lingual gyrus(FDR corrected,P＜0.05).The FA value of the corpus callosum was negatively correlated with the volume of the right hippocampus(r=0.495,P=0.004),and significantly negatively correlated with the HAMD score(r=-0.530,P=0.002).Conclusions:Patients with white matter hyperintensities and depression symptoms have extensive involvement of white matter fibers and changes in gray matter microstructure.The integrity of white matter fibers in the body of corpus callosum may be related to depressive symptom,which can provide reference for early clinical identification and intervention.
white matter hyperintensitiesdepressioncerebral microstructurewhite mattergray mattermagnetic resonance imagingmultimodal magnetic resonance imagingdiffusion tensor imagingtract-based spatial statisticsvoxel-based morphometry
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