
关键部位脑梗死与认知功能障碍的相关性分析
苏小吏, 杨银雪, 岳卫东
关键部位脑梗死与认知功能障碍的相关性分析
Correlation analysis of cerebral infarction and cognitive dysfunction in strategic areas
目的: 探索神经功能缺损程度与认知功能障碍的相关性,分析导致认知功能障碍的关键梗死部位及其认知功能障碍的特点。方法: 选择首发单个部位脑梗死患者151例,应用神经功能缺损评分( NIHSS)评估神经缺损程度,蒙特利尔认知评价量表(MoCA)评估认知功能,根据MoCA评分将患者分为认知功能障碍组104例,非认知功能障碍组47例。根据影像学检查结果按病灶部位将认知功能障碍患者分为基底节组30例、丘脑组11例、额叶组13例、颞叶组10例、枕叶组9例、顶叶组10例、脑干组10例、小脑组11例。结果: 认知功能障碍组与非认知功能障碍组年龄、性别、受教育年限、NIHSS评分无显著差异(P> 0.05)。认知功能障碍组中,丘脑组、额叶组、颞叶组、枕叶组视空间和执行功能评分较低(P< 0.05)。颞叶组命名功能评分较低(P< 0.05)。丘脑组和额叶组注意功能评分较低(P< 0.05)。丘脑组语言功能评分较低(P< 0.05)。丘脑组、额叶组、颞叶组在延迟回忆功能评分较低(P< 0.05)。丘脑组、额叶组、颞叶组定向功能评分较低(P< 0.05)。基底节、顶叶、脑干、小脑认知功能评分无统计学意义(P> 0.05)。结论: 卒中患者神经功能缺损的严重程度与认知障碍与否无显著相关性。导致认知功能障碍的关键梗死部位分别为:丘脑、额叶、颞叶、枕叶。丘脑梗死患者认知功能损害域为视空间和执行功能、注意力、语言、延迟回忆、定向功能。额叶梗死患者认知功能损害域为视空间及执行功能、注意力、延迟回忆、定向力功能。颞叶梗死患者认知功能损害域为视空间及执行功能、命名、延迟回忆、定向功能。枕叶认知功能损害域为视空间执行功能。
Objective: To explore the correlation between the degree of neurological deficits and cognitive impairment and to analyze the strategic infarct location and the characteristics of cognitive impairment. Methods: A total of 151 patients with single-site cerebral infarction were selected, and the degree of neurological deficit was assessed by the National Institutes of Health Stroke Scale (NIHSS). The Montreal Cognitive Assessment (MoCA) was used to assess cognitive function. According to the MoCA score, the patients were divided into 104 cognitive impairment groups and 47 non-cognitive impairment groups. According to the results of imaging examination, 30 patients with cognitive dysfunction were divided into basal ganglia group, 11 in thalamus group, 13 in frontal lobe group, 10 in temporal lobe group, 9 in occipital lobe group, 10 in parietal lobe group, 10 in brainstem group and 11 in cerebellum group. Results: There was no significant difference in the age, gender, years of education and NIHSS score between the cognitive impairment group and the non-cognitive impairment group at admission (P> 0.05). The visual space and executive function scores of thalamus, frontal, temporal, and occipital lobe groups were lower (P< 0.05). The temporal lobe group had a lower naming function score (P< 0.05). The scores of attention function in thalamus and frontal lobe group were lower (P< 0.05). The score of language function in thalamus group was low (P< 0.05). Delayed recall function scores were lower in thalamus, frontal, and temporal lobe groups (P< 0.05). The scores of directional function in thalamus, frontal and temporal lobe were lower (P< 0.05). The cognitive function scores in basal ganglia, parietal lobe, brainstem, and cerebellum were not statistically significant (P> 0.05). After 3 months, there were no significant differences between the treatment group and the control group in terms of naming, delayed recall, and orientation (P> 0.05). The treatment group had higher scores in visual space performance, attention, language, and abstract function (P< 0.05). Conclusion: There is no significant correlation between the severity of neurological deficits and cognitive impairment in patients with stroke. The strategic infarct location leading to cognitive dysfunction are: thalamus, frontal lobe, temporal lobe, occipital lobe. Cognitive impairment domains in patients with thalamic infarction are visual space and executive function, attention, language, delayed recall, and orientation function. The domain of cognitive impairment in frontal lobe infarction is visual space and executive function, attention, delayed recall, and orientation function. The domain of cognitive impairment in patients with temporal lobe infarction is visual space and executive function, naming, delayed recall, orientation function. Occipital cognitive impairment domain for visual space executive function.
关键部位 / 脑梗死 / 认知功能障碍 {{custom_keyword}} /
Strategic location / Infarction / Cognitive dysfunction {{custom_keyword}} /
表1 认知障碍与非认知障碍组患者基线资料比较 |
变量 | 认知障碍组(n=104) | 非认知障碍组(n=47) | Z/χ2 | P |
---|---|---|---|---|
年龄 | 60.0(55.0~65.0) | 60.0(56.0~65.0) | 0.505 3 | 0.6133 |
性别 男 | 61(73.49) | 22(26.51) | 1.834 9 | 0.1755 |
女 | 43(63.24) | 25(36.76) | ||
受教育年限 | 9.0(7.5~12.0) | 9.0(6.0~12.0) | -0.624 4 | 0.5323 |
NIHSS | 2.0(1.0~4.0) | 2.0(1.0~4.0) | 0.287 2 | 0.7740 |
表2 梗死部位与认知功能 |
基底节组 (n=30) | 丘脑组 (n=11) | 额叶组 (n=13) | 颞叶组 (n=10) | 枕叶组 (n=9) | 顶叶组 (n=10) | 脑干组 (n=10) | 小脑组 (n=11) | |
---|---|---|---|---|---|---|---|---|
视空间和执行功能 | 4(3,5) | 2(1,3) | 2(2,2) | 1(1,2) | 1(1,2) | 4.5(4,5) | 5(4,5) | 5(4,5) |
命名 | 3(2,3) | 3(3,3) | 2(2,3) | 0.5(0,1) | 3(2,3) | 2(2,3) | 3(2,3) | 3(2,3) |
注意 | 5(4,5) | 1(1,2) | 1(1,2) | 5(4,6) | 4(5,6) | 4.5(3,5) | 4(3,5) | 4(3,5) |
语言 | 3(2,3) | 1(0,1) | 2(2,3) | 2.5(2,3) | 3(2,3) | 2.5(2,3) | 3(2,3) | 3(2,3) |
抽象 | 1(1,2) | 2(1,2) | 1(1,1) | 1(1,2) | 0(0,1) | 1(0,1) | 0.5(0,1) | 1(0,2) |
延迟回忆 | 3(1,5) | 0(0,1) | 0(0,1) | 0.5(0,1) | 5(1,5) | 5(1,5) | 4.5(2,5) | 2(2,5) |
定向 | 5(4,6) | 1(1,2) | 1(1,4) | 1(1,2) | 6(5,6) | 5(4,6) | 5(4,6) | 5(3,6) |
总分 | 24.5(23,25) | 12(11,14) | 13(11,15) | 13(12,14) | 22(19,24) | 23(22,25) | 24.5(22,25) | 24(21,25) |
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This scientific statement provides an overview of the evidence on vascular contributions to cognitive impairment and dementia. Vascular contributions to cognitive impairment and dementia of later life are common. Definitions of vascular cognitive impairment (VCI), neuropathology, basic science and pathophysiological aspects, role of neuroimaging and vascular and other associated risk factors, and potential opportunities for prevention and treatment are reviewed. This statement serves as an overall guide for practitioners to gain a better understanding of VCI and dementia, prevention, and treatment.Writing group members were nominated by the writing group co-chairs on the basis of their previous work in relevant topic areas and were approved by the American Heart Association Stroke Council Scientific Statement Oversight Committee, the Council on Epidemiology and Prevention, and the Manuscript Oversight Committee. The writing group used systematic literature reviews (primarily covering publications from 1990 to May 1, 2010), previously published guidelines, personal files, and expert opinion to summarize existing evidence, indicate gaps in current knowledge, and, when appropriate, formulate recommendations using standard American Heart Association criteria. All members of the writing group had the opportunity to comment on the recommendations and approved the final version of this document. After peer review by the American Heart Association, as well as review by the Stroke Council leadership, Council on Epidemiology and Prevention Council, and Scientific Statements Oversight Committee, the statement was approved by the American Heart Association Science Advisory and Coordinating Committee.The construct of VCI has been introduced to capture the entire spectrum of cognitive disorders associated with all forms of cerebral vascular brain injury-not solely stroke-ranging from mild cognitive impairment through fully developed dementia. Dysfunction of the neurovascular unit and mechanisms regulating cerebral blood flow are likely to be important components of the pathophysiological processes underlying VCI. Cerebral amyloid angiopathy is emerging as an important marker of risk for Alzheimer disease, microinfarction, microhemorrhage and macrohemorrhage of the brain, and VCI. The neuropathology of cognitive impairment in later life is often a mixture of Alzheimer disease and microvascular brain damage, which may overlap and synergize to heighten the risk of cognitive impairment. In this regard, magnetic resonance imaging and other neuroimaging techniques play an important role in the definition and detection of VCI and provide evidence that subcortical forms of VCI with white matter hyperintensities and small deep infarcts are common. In many cases, risk markers for VCI are the same as traditional risk factors for stroke. These risks may include but are not limited to atrial fibrillation, hypertension, diabetes mellitus, and hypercholesterolemia. Furthermore, these same vascular risk factors may be risk markers for Alzheimer disease. Carotid intimal-medial thickness and arterial stiffness are emerging as markers of arterial aging and may serve as risk markers for VCI. Currently, no specific treatments for VCI have been approved by the US Food and Drug Administration. However, detection and control of the traditional risk factors for stroke and cardiovascular disease may be effective in the prevention of VCI, even in older people.Vascular contributions to cognitive impairment and dementia are important. Understanding of VCI has evolved substantially in recent years, based on preclinical, neuropathologic, neuroimaging, physiological, and epidemiological studies. Transdisciplinary, translational, and transactional approaches are recommended to further our understanding of this entity and to better characterize its neuropsychological profile. There is a need for prospective, quantitative, clinical-pathological-neuroimaging studies to improve knowledge of the pathological basis of neuroimaging change and the complex interplay between vascular and Alzheimer disease pathologies in the evolution of clinical VCI and Alzheimer disease. Long-term vascular risk marker interventional studies beginning as early as midlife may be required to prevent or postpone the onset of VCI and Alzheimer disease. Studies of intensive reduction of vascular risk factors in high-risk groups are another important avenue of research.
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Cerebral small vessel disease (SVD) is an important cause of cognitive impairment. Important MRI manifestations of SVD include white matter hyperintensities (WMH) and lacunes. This narrative review addresses the role of anatomical lesion location in the impact of SVD on cognition, integrating findings from early autopsy studies with emerging findings from recent studies with advanced image analysis techniques. Early autopsy and imaging studies of small case series indicate that single lacunar infarcts in, for example the thalamus, caudate nucleus or internal capsule can cause marked cognitive impairment. However, the findings of such case studies may not be generalizable. Emerging location-based image analysis approaches are now being applied to large cohorts. Recent studies show that WMH burden in strategic white matter tracts, such as the forceps minor or anterior thalamic radiation (ATR), is more relevant in explaining variance in cognitive functioning than global WMH volume. These findings suggest that the future diagnostic work-up of memory clinic patients could potentially be improved by shifting from a global assessment of WMH and lacune burden towards a quantitative assessment of lesion volumes within strategic brain regions. In this review, a summary of currently known strategic regions for SVD-related cognitive impairment is provided, highlighting recent technical developments in SVD research. The potential and challenges of location-based approaches for diagnostic purposes in clinical practice are discussed, along with their potential prognostic and therapeutic applications.© 2017 The Author(s). published by Portland Press Limited on behalf of the Biochemical Society.
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The anterior limb of the internal capsule (ALIC) carries thalamic and brainstem fibers from prefrontal cortical regions that are associated with different aspects of emotion, motivation, cognition processing, and decision-making. This large fiber bundle is abnormal in several psychiatric illnesses and a major target for deep brain stimulation. Yet, we have very little information about where specific prefrontal fibers travel within the bundle. Using a combination of tracing studies and diffusion MRI in male nonhuman primates, as well as diffusion MRI in male and female human subjects, we segmented the human ALIC into five regions based on the positions of axons from different cortical regions within the capsule. Fractional anisotropy (FA) abnormalities in patients with bipolar disorder were detected when FA was averaged in the ALIC segment that carries ventrolateral prefrontal cortical connections. Together, the results set the stage for linking abnormalities within the ALIC to specific connections and demonstrate the utility of applying connectivity profiles of large white matter bundles based on animal anatomic studies to human connections and associating disease abnormalities in those pathways with specific connections. The ability to functionally segment large white matter bundles into their components begins a new era of refining how we think about white matter organization and use that information in understanding abnormalities. The anterior limb of the internal capsule (ALIC) connects prefrontal cortex with the thalamus and brainstem and is abnormal in psychiatric illnesses. However, we know little about the location of specific prefrontal fibers within the bundle. Using a combination of animal tracing studies and diffusion MRI in animals and human subjects, we segmented the human ALIC into five regions based on the positions of axons from different cortical regions. We then demonstrated that differences in FA values between bipolar disorder patients and healthy control subjects were specific to a given segment. Together, the results set the stage for linking abnormalities within the ALIC to specific connections and for refining how we think about white matter organization in general.Copyright © 2018 the authors 0270-6474/18/382106-12$15.00/0.
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