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Updated: Jun 18, 2025
Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions
Published on: April 23, 2021
Amygdala and cognitive impairment in cerebral small vessel disease: structural, functional, and metabolic changes
Zhenyu Cheng1, Wenying Nie2, Junhong Leng2
1School of Medical Imaging, Binzhou Medical University, Yantai, Shandong, China.
Abstract:
Cerebral small vessel disease (CSVD) is a prevalent vascular disorder that has been consistently associated with vascular cognitive impairment (VCI). The diagnosis of CSVD continues to rely on magnetic resonance imaging (MRI). Epidemiological data indicate that the characteristic MRI features of CSVD, including white matter hyperintensity (WMH) and lacunar infarction, are very common among individuals over 40 years of age in community studies. This prevalence poses a significant burden on many low- and middle-income families. The amygdala plays a crucial role in integrating sensory and associative information to regulate emotional cognition. Although many previous studies have linked alterations in the amygdala to various diseases, such as depression, there has been little research on CSVD-associated alterations in the amygdala due to the complexity of CSVD. In this paper, we summarize the various imaging features of CSVD and discuss the correlation between amygdala changes and VCI. We also explore how new neuroimaging methods can assess amygdala changes early, laying a foundation for future comprehensive exploration of the pathogenesis of CSVD.
Insights
Cerebral small vessel disease (CSVD) is linked to cognitive decline. This study explores CSVD
Area of Science:
- Neuroimaging
- Neurology
- Vascular Biology
Background:
- Cerebral small vessel disease (CSVD) is a common cause of vascular cognitive impairment (VCI).
- Diagnosis relies on MRI, revealing features like white matter hyperintensity (WMH) and lacunar infarction, prevalent in adults over 40.
- CSVD poses a significant health burden, especially in low- and middle-income populations.
Purpose of the Study:
- To review CSVD imaging features.
- To discuss the relationship between amygdala alterations and VCI in CSVD.
- To explore advanced neuroimaging for early detection of amygdala changes in CSVD.
Main Methods:
- Literature review of CSVD imaging characteristics.
- Analysis of existing studies correlating amygdala changes with VCI.
- Discussion of novel neuroimaging techniques for early amygdala assessment.
Main Results:
- CSVD is characterized by specific MRI findings (WMH, lacunar infarcts).
- Emerging evidence suggests a link between amygdala alterations and VCI in CSVD patients.
- Advanced neuroimaging may detect early amygdala changes associated with CSVD.
Conclusions:
- Understanding the link between CSVD, amygdala changes, and VCI is crucial.
- Early detection of amygdala alterations via new neuroimaging methods is promising.
- Further research into CSVD pathogenesis, focusing on the amygdala, is warranted.
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