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Study on the topological properties of brain functional networks in patients with mild cognitive impairment with different cognitive domains
GUOJin-yu, MINGuo-wen, ZHAOYa-rong, WANGXiao-chun, YULei, LIYang
Chinese Journal of Alzheimer's Disease and Related Disorders ›› 2021, Vol. 4 ›› Issue (4) : 263-268.
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Abbreviation (ISO4): Chinese Journal of Alzheimer's Disease and Related Disorders
Editor in chief: Jun WANG
PDF(1193 KB)
Study on the topological properties of brain functional networks in patients with mild cognitive impairment with different cognitive domains
Objective: To investigate the changes of topological properties of brain functional networks in patients with mild cognitive impairment with different cognitive functional domains. Methods: To collect 31 MCI patients with a summary of MMSE >24 points, MoCA ≤ 25 points and a clinical dementia scale of 0.5. According to the cognitive function domain evaluation scale, five groups of experimental group and matched control group were divided into memory difference, executive ability difference, attention difference, language ability difference and visual space ability difference. The brain function network construction and network topology attribute were analyzed in each group. Results: A threshold of sparsity of the connection matrix, the topological parameters σ of brain functional network in all MCI patients >1, all have small world attributes. The small world parameters of brain function network such as σ and γ in experimental group1 with better memory were significantly higher than those in control group1(p<0.05). The λ、Eloc and Eglob small world parameters of brain function network in the experimental group5 were significantly higher than those in the control group5, and the LP small world parameters were significantly lower than those in the control group5 (p<0.05). There was no significant difference between the other MCI patients with different cognitive domains in the small world parameters of brain functional network (p>0.05). Conclusions: Brain functional networks of MCI patients show small world attributes, in which memory and visual space ability are worse MCI patients have network topology destruction, which may be related to the early occurrence of situational memory impairment and spatial cognitive impairment in AD patients. This provides a new neurophysiological mechanism for predicting the possibility of AD and instructs clinicians to strengthen the training of memory and visual space ability in cognitive intervention for MCI patients, which can improve the destruction of brain functional network topology to the greatest extent.
Mild Cognitive Impairment / Cognitive Functional Areas / Brain Functional Network / Topological Attribute / Small World Network
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中国痴呆与认知障碍指南写作组, 中国医师协会神经内科医师分会认知障碍疾病专业委员会. 2018中国痴呆与认知障碍诊治指南(一):痴呆及其分类诊断标准[J]. 中华医学杂志, 2018, 98(13):965-970.
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To update the 2001 American Academy of Neurology (AAN) guideline on mild cognitive impairment (MCI).The guideline panel systematically reviewed MCI prevalence, prognosis, and treatment articles according to AAN evidence classification criteria, and based recommendations on evidence and modified Delphi consensus.MCI prevalence was 6.7% for ages 60-64, 8.4% for 65-69, 10.1% for 70-74, 14.8% for 75-79, and 25.2% for 80-84. Cumulative dementia incidence was 14.9% in individuals with MCI older than age 65 years followed for 2 years. No high-quality evidence exists to support pharmacologic treatments for MCI. In patients with MCI, exercise training (6 months) is likely to improve cognitive measures and cognitive training may improve cognitive measures.Clinicians should assess for MCI with validated tools in appropriate scenarios (Level B). Clinicians should evaluate patients with MCI for modifiable risk factors, assess for functional impairment, and assess for and treat behavioral/neuropsychiatric symptoms (Level B). Clinicians should monitor cognitive status of patients with MCI over time (Level B). Cognitively impairing medications should be discontinued where possible and behavioral symptoms treated (Level B). Clinicians may choose not to offer cholinesterase inhibitors (Level B); if offering, they must first discuss lack of evidence (Level A). Clinicians should recommend regular exercise (Level B). Clinicians may recommend cognitive training (Level C). Clinicians should discuss diagnosis, prognosis, long-term planning, and the lack of effective medicine options (Level B), and may discuss biomarker research with patients with MCI and families (Level C).Copyright © 2017 American Academy of Neurology.
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认知训练中国专家共识写作组, 中国医师协会神经内科医师分会认知障碍疾病专业委员会. 认知训练中国专家共识[J]. 中华医学杂志, 2019, 99(1):4-8.
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the aim of this study was to investigate the effect of computer-assisted cognitive training in healthy older adults with subjective memory complaints.Forty older adults, mean age (standard deviation) = 66.4 (5.6) with subjective memory complaints, were included in this study. Participants were randomly assigned to an integrated psychostimulation program (IPP) (N = 17), a computerized cognitive training (CCT) (N = 12) or a control group (N = 11). The training was applied for 8 weeks (90 min/d, 4 d/week for IPP, and 60 min/d, 4 d/week for CCT). Effectiveness was evaluated with a neuropsychological assessment battery, used before and after the implementation of the cognitive training.According to the data analysis, with analysis of covariance (ANCOVA), we found a statistically significant change in the majority of the cognitive variables measured before and after the experimental conditions compared with the control group. Although, according to a paired t-test, the IPP was more effective in the improvement of cognitive functioning in the participants. Additionally, a decrease in anxiety symptoms was observed after the cognitive intervention in IPP and CCT conditions.Our findings suggested that cognitive training of moderate intensity, supported by a web platform, could lead to significant improvements in cognitive and psychological well-being in older people with subjective memory complaints.
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A central aim of neuroscience is to map neural circuits, in order to learn how they account for mental activities and behaviours and how alterations in them lead to neurological and psychiatric disorders. However, the methods that are currently available for visualizing circuits have severe limitations that make it extremely difficult to extract precise wiring diagrams from histological images. Here we review recent advances in this area, along with some of the opportunities that these advances present and the obstacles that remain.
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Functional brain abnormalities including memory loss are found to be associated with pathological changes in connectivity and network neural structures. Alzheimer's disease (AD) interferes with memory formation from the molecular level, to synaptic functions and neural networks organization. Here, we determined whether brain connectivity of resting-state networks correlate with memory in patients affected by AD and in subjects with mild cognitive impairment (MCI). One hundred and forty-four subjects were recruited: 70 AD (MMSE Mini Mental State Evaluation 21.4), 50 MCI (MMSE 25.2) and 24 healthy subjects (MMSE 29.8). Undirected and weighted cortical brain network was built to evaluate graph core measures to obtain Small World parameters. eLORETA lagged linear connectivity as extracted by electroencephalogram (EEG) signals was used to weight the network. A high statistical correlation between Small World and memory performance was found. Namely, higher Small World characteristic in EEG gamma frequency band during the resting state, better performance in short-term memory as evaluated by the digit span tests. Such Small World pattern might represent a biomarker of working memory impairment in older people both in physiological and pathological conditions. Copyright © 2015 IBRO. Published by Elsevier Ltd. All rights reserved.
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