An Assessment of the Relationship between Structural and Functional Imaging of Cerebrovascular Disease and Cognition-Related Fibers.

Xiaoping Tang,Jianhua Yin,Bingliang Zeng,Xinlan Xiao,Ting Yang

doi:10.1155/2020/4347676

Abstract

In order to assess the relationship between structural and functional imaging of cerebrovascular disease and cognition-related fibers, this paper chooses a total of 120 patients who underwent cerebral small vessel disease (CSVD) treatment at a designated hospital by this study from June 2013 to June 2018 and divides them into 3 groups according to the random number table method: vascular dementia (VaD) group, vascular cognitive impairment no dementia (VCIND) group, and noncognition impairment (NCI) group with 40 cases of patients in each group. Cognitive function measurement and imaging examination were performed for these 3 groups of patients, and the observation indicators of cognitive state examination (CSE), mental assessment scale (MAS), clock drawing test (CDT), adult intelligence scale (AIS), frontal assessment battery (FAB), verbal fluency test (VFT), trail making test (TMT), cognitive index (CI), white matter lesions (WML), third ventricle width (TVW), and frontal horn index (FHI) were tested, respectively. The results shows that the average scores of CSE, MAS, AIS, and VFT in the VaD and VCIND group are lower than those of the NCI group and the differences are statistically significant (P < 0.05); the average scores of FAB, TMT, and CI in the VaD group are higher than those of the VCIND group and the differences are also statistically significant (P < 0.05); the average scores of FHI and TVW in the VaD group are lower than those of the VCIND and NCI group with statistically significant differences (P < 0.05); the average scores of WML, CDT, and AIS in the VaD group are higher than those of the VCIND and NCI group with statistically significant differences (P < 0.05). Therefore, it is believed that the structural and functional imaging features of cerebrovascular disease are closely related to cognition-related fibers, and the incidence of white matter lesions is closely related to the degree of lesions and cognitive dysfunction of cerebral small vessel disease, in which a major risk factor for cognitive dysfunction in patients with small blood vessels is the severity of white matter lesions; brain imaging and neuropsychiatric function assessment can better understand the relationship between cerebrovascular disease and cognitive impairment. The results of this study provide a reference for the further research studies on the relationship between structural and functional imaging of cerebrovascular disease and cognition-related fibers.

Highlights

Cerebral small vessel disease (CSVD) refers to a group of lesions in intracranial arterioles, arterioles, anterior capillaries, and venules due to different causes and their clinical manifestations mainly include focal cerebral infarction, various lacunar syndromes, and cognitive dysfunction with imaging findings of vascular dementia (VaD), lacunar infarction (LI), cerebral white matter lesion (WML), and cerebral microbleeds (CMB). e vascular dementia (VaD) is mainly caused by a series of brain vascular risk factors, which lead to dementia syndrome and clinical manifestations of cognitive dysfunction [1]
In order to assess the relationship between structural and functional imaging of cerebrovascular disease and cognition-related fibers, this paper chooses a total of 120 patients who underwent cerebral small vessel disease treatment at a designated hospital by this study from June 2013 to June 2018 and divides them into 3 groups according to the random number table method: vascular dementia group, vascular cognitive impairment no dementia group, and noncognition impairment group with 40 cases of patients in each group
Cognitive function measurement and imaging examination were performed for these 3 groups of patients, and the observation indicators of cognitive state examination, mental assessment scale, clock drawing test, adult intelligence scale, frontal assessment battery, verbal fluency test, trail making test, cognitive index, white matter lesions, third ventricle width, and frontal horn index were tested, respectively. e detailed chapters are organized as follows: Section 2 presents research materials and methods; Section 3 performs results analysis; Section 4 assesses the relationship between structural and functional imaging of cerebrovascular disease and cognition-related fibers; Section 5 is discussion; and Section 6 is conclusion

Summary

Introduction

Cerebral small vessel disease (CSVD) refers to a group of lesions in intracranial arterioles, arterioles, anterior capillaries, and venules due to different causes and their clinical manifestations mainly include focal cerebral infarction, various lacunar syndromes, and cognitive dysfunction with imaging findings of vascular dementia (VaD), lacunar infarction (LI), cerebral white matter lesion (WML), and cerebral microbleeds (CMB). e vascular dementia (VaD) is mainly caused by a series of brain vascular risk factors, which lead to dementia syndrome and clinical manifestations of cognitive dysfunction [1]. Cerebral small vessel disease (CSVD) refers to a group of lesions in intracranial arterioles, arterioles, anterior capillaries, and venules due to different causes and their clinical manifestations mainly include focal cerebral infarction, various lacunar syndromes, and cognitive dysfunction with imaging findings of vascular dementia (VaD), lacunar infarction (LI), cerebral white matter lesion (WML), and cerebral microbleeds (CMB). The voxel-based morphology (VBM) analysis method can be used to analyze the difference in the gray matter structure between Alzheimer’s disease (AD) patients and normal individuals and to suggest changes in white matter structure, but whether white matter atrophy exists and its degree of damage cannot pass [6]. Diffusion tensor imaging (DTI) is a more sensitive imaging method for detecting white matter microscopic tissue damage, and it has been confirmed that DTI parameters are more closely related to MRI image volume and cognition [8]

Methods

Findings

Discussion

Conclusion