Mild cognitive impairment: modern aspects of diagnostics and therapy

Пилипович, А. А.; Воробьева, О. В.

doi:10.17116/jnevro2020120111124

Cited by 4 publications

(3 citation statements)

References 43 publications

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“…Previous studies report AD and aMCI show parallel disruption of default mode network (DMN) resting state function and connectivity, as well as inter‐areal white matter pathway abnormalities (Alderson et al., 2017 ). In addition, medial frontal deactivation disrupts the DMN, decreasing AD patient activation and reactivity (Petrella et al., 2007 ; Rombouts et al., 2009 ). The DMN is engaged in attending to environmental stimuli, planning future behaviors, self‐awareness, and conscious processes (Petrella et al., 2007 ).…”

Section: Discussionmentioning

confidence: 99%

“…MCI differs from dementia in many ways, and previous studies support better outcomes for early treatment or prevention of MCI (Pilipovich & Vorob'eva, 2020). Biomarkers like cerebrospinal fluid concentrations of amyloid beta (1-42), phospho-tau, and total tau protein estimated had been established for the identification of MCI (Kasper et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Textural features of the frontal white matter could be used to discriminate amnestic mild cognitive impairment patients from the normal population

Zheng,

Mu,

Liu

et al. 2023

Brain and Behavior

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ObjectiveWe aim to develop a radiomics model based on 3‐dimensional (3D)‐T1WI images to discriminate amnestic mild cognitive impairment (aMCI) patients from the normal population by measuring changes in frontal white matter.MethodsIn this study, 126 patients with aMCI and 174 normal controls (NC) were recruited from the local community. All subjects underwent routine magnetic resonance imaging examination (including 3D‐T1WI ). Participants were randomly divided into a training set (n = 242, aMCI:102, NC:140) and a testing set (n = 58, aMCI:24, NC:34). Texture features of the frontal lobe were extracted from 3D‐T1WI images. The least absolute shrinkage and selection operator (LASSO) was used to reduce feature dimensions and develop a radiomics signature model. Diagnostic performance was assessed in the training and testing sets using the receiver operating characteristic (ROC) curve analysis. The area under the ROC curve (AUC), sensitivity, and specificity were also calculated. The efficacy of the radiomics model in discriminating aMCI patients from the normal population was assessed by decision curve analysis (DCA).ResultsA total of 108 frontal lobe texture features were extracted from 3D‐T1WI images. LASSO selected 58 radiomic features for the final model, including log‐sigma (n = 18), original (n = 8), and wavelet (n = 32) features. The performance of radiomic features extracted from 3D T1 imaging for distinguishing aMCI patients from controls was: in the training set, AUC was 1.00, and the accuracy, sensitivity, and specificity were 100%, 98%, and 100%, respectively. In the testing set, AUC was 0.82 (95% CI:0.69–0.95), and the accuracy, sensitivity, and specificity were 69%, 92%, and 55%, respectively. The DCA demonstrated that the model had favorable clinical predictive value.ConclusionsTextural features of white matter in the frontal lobe showed potential for distinguishing aMCI from the normal population, which could be a surrogate protocol to aid aMCI screening in clinical setting.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Textural features of the frontal white matter could be used to discriminate amnestic mild cognitive impairment patients from the normal population

Zheng,

Mu,

Liu

et al. 2023

Brain and Behavior

View full text Add to dashboard Cite

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“…In 2011, the National Institute on Ageing-Alzheimer's Association Task Force proposed new guidelines stating that MCI, as the second stage in the course of AD, should be classified under the AD concept and not as a separate disease [ 3 ]. Currently, mild cognitive impairment, which is a transitional condition between normal aging and dementia, is characterized by a progressive decline in memory and other cognitive functions accompanied by a slight impairment in the instrumental living ability [ 2 , 4 ]. In terms of epidemiology, a systematic review of 123,766 patients showed that the prevalence of MCI among the elderly in China was approximately 15.4%, which varied depending on the demographics, lifestyle, morbidity, screening tools and diagnostic criteria [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Medication Rules in Herbal Medicine for Mild Cognitive Impairment: A Network Pharmacology and Data Mining Study

Chang

Wang

Tian

et al. 2022

Evidence-Based Complementary and Alternative Medicine

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Background. Although traditional Chinese medicine (TCM) has good efficacy in the treatment of mild cognitive impairment (MCI), especially memory improvement and safety, its substance basis and intervention mechanism are particularly complex and unknown. Therefore, based on network pharmacology and data mining, this study aims to explore the rules, active ingredients and mechanism of TCM in the treatment of MCI. Methods. By searching the GeneCard, OMIM, DisGeNET and DrugBank databases, we obtained the critical targets associated with MCI. We matched the components and herbs corresponding to the important targets in the TCMSP platform. Using Cytoscape 3.7.2 software, we constructed a target-component-herb network and conducted a network topology analysis to obtain the core components and herbs. Molecular docking was used to preliminarily analyze and predict the binding activities and main binding combinations of the core targets and components. Based on the analysis of the properties, flavor and meridian distribution of herbs, the rules of herbal therapy for MCI were summarized. Results. Twenty-eight critical targets were obtained after the screening. Using the TCMSP platform, 492 components were obtained. After standardization, we obtained 387 herbs. Based on the target-composition-herb network analysis, the core targets were ADRB2, ADRA1B, DPP4, ACHE and ADRA1D. According to the screening, the core ingredients were beta-sitosterol, quercetin, kaempferol, stigmasterol and luteolin. The core herbs were matched to Danshen, Yanhusuo, Gancao, Gouteng and Jiangxiang. It was found that the herbs were mainly warm in nature, pungent in taste and liver and lung in meridian. The molecular docking results showed that most core components exhibited strong binding activity to the target combination regardless of the in or out of network combination. Conclusion. The results of this study indicate that herbs have great potential in the treatment of MCI. This study provides a reference and basis for clinical application, experimental research and new drug development of herbal therapy for MCI.

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Pharmacotherapy approaches to vascular mild cognitive impairment in patients of different age groups

Zakharov,

Fedin,

Mhitaryan

2023

Z. nevrol. psikhiatr. im. S.S. Korsakova

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Mild cognitive impairment: modern aspects of diagnostics and therapy

Cited by 4 publications

References 43 publications

Textural features of the frontal white matter could be used to discriminate amnestic mild cognitive impairment patients from the normal population

Textural features of the frontal white matter could be used to discriminate amnestic mild cognitive impairment patients from the normal population

Medication Rules in Herbal Medicine for Mild Cognitive Impairment: A Network Pharmacology and Data Mining Study

Pharmacotherapy approaches to vascular mild cognitive impairment in patients of different age groups

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