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Mild Cognitive Impairment - DOAJ

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Last Updated: 28 September 2022

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Dance activity interventions targeting cognitive functioning in older adults with mild cognitive impairment: A meta-analysis

The inclusion criteria were included in the trials of senior adults with MCI who underwent dance activity intervention and met the inclusion criteria. Because of the different stimulation provided by the two types of dance performance in the brain regions of the older adults, the more effective in raising global consciousness in elder adults with MCI than closed-skill dance performance was more beneficial in improving global awareness in older adults with MCI than closed-skill dance participation, according to a further subgroup review. In older adults with MCI, dancing exercise may have mainly improved cognitive function by affecting the cellular structure and function of the cingulate tract, hippocampus, cardiovascular function, and other brain areas of senior adults with MCI. ConclusionDance exercises can significantly improve global cognition, memory, spatial stability, attention, and balance.

Source link: https://doi.org/10.3389/fpsyg.2022.966675


Working memory assessment using cambridge neuropsychological test automated battery can help in the diagnosis of mild cognitive impairment: a systematic review and meta-analysis

ABSTRACT Mild cognitive impairment is an interstitial state of normal age and dementia. Object: We investigated the working memory profiles of MCI patients using the Cambridge Neuropsychological Test Automated Battery as part of this research. In spatial working memory, spatial location, and rapid visual information processing, there was a significant difference between MCI patients and healthy controls. MCI patients' WM function was characterized by tau-protein and amyloid-beta levels in cerebrospinal fluids. MCI's WM is an impaired cognitive domain. SSP, SWM, and RVP results from the CANTAB's research report on MCI in clinical settings are reliable enough to be used as a reliable assessment tool for diagnosis of MCI in clinical settings. Lower WM scores in MCI patients are attributed to Tau-protein and Au03b2, but MCI patients' sex, age, mental disorders, apolipoprotein 4 allele, and functional fitness scores have no effect on WM.

Source link: https://doi.org/10.1590/1980-5764-dn-2022-0006


Effective differentiation of mild cognitive impairment by functional brain graph analysis and computerized testing.

Elders in African American communities are twice as likely to experience mild cognitive impairment or Alzheimer's disease and related dementias as older white Americans, and therefore constitute a significant vulnerable population that needs to be monitored early. Based on a sample of community-dwelling African American elders, we mixed functional connectivity and graph theoretical data, derived from resting-state electroencephalography data, with computerized cognitive testing to reveal differences between individuals with MCI and healthy controls. With the accuracy of 77. 5% of the best single approach, namely, by combining cognition and topological attributes, the prediction improved compared to the classification using sole cognitive or EEG domains, with an accuracy of 86. 5%. EEG and computerized testing are acceptable, and results are promising in terms of discriminating between healthy controls and individuals with MCI living in the community.

Source link: https://doi.org/10.1371/journal.pone.0230099


Physician decision-making and recommendations for stroke and myocardial infarction treatments in older adults with mild cognitive impairment.

Elderly adults with mild cognitive impairment may not be able to receive evidence-based therapy, according to evidence. In a pilot multi-methods research of physicians recruited from one academic center, we investigated the effect of patient MCI on physician decision-making and recommendations for acute ischemic stroke and acute myocardial infarction. Linear regression compared the primary outcome among patient cognition groups adjusting for physician characteristics. AIS was non-significantly lower in patients with MCI and significantly less in patients with early-stage dementia compared to cognitively normal patients. Physicians suspected patients with MCI, cognitively normal patients, lack life expectancy, frailty, and poor performance, among other factors, may have less frequent interventions, greater risks, or burdens from therapy. Patient MCI, according to these results, plays a role in physician decision-making and recommendations for AIS and AMI therapies.

Source link: https://doi.org/10.1371/journal.pone.0230446


Caspase-2 mRNA levels are not elevated in mild cognitive impairment, Alzheimer's disease, Huntington's disease, or Lewy Body dementia.

Caspase-2, a member of the caspase family with both apoptotic and non-apoptotic characteristics, has been shown to mediate synaptic deficits in models of various developmental disorders, including Alzheimer's disease, Huntington's disease, and Lewy Body dementia. Capase-2 protein levels in these diseases have been elevated in previous studies, prompting us to hypothesize that elevated caspase-2 protein levels are due to increased transcription of caspase-2 mRNA in these diseases. There are two major isoforms of caspase-2 mRNA, caspase-2L, and caspase-2S. We tested our hypothesis by measuring the presence of these mRNA isoforms in a reference gene that showed no disease-related changes. The mRNA expression remained unchanged between disease groups and controls, with u03b2III-tubulin mRNA expression remaining unchanged. These results indicate that factors other than transcriptional control are responsible for rises in caspase-2 protein levels. Presynaptic dysfunction contributes to cognitive deficits in neurodegeneration, according to a decrease of SNAP25 mRNA expression.

Source link: https://doi.org/10.1371/journal.pone.0274784


A Deep Convolutional Neural Networks Based Approach for Alzheimer’s Disease and Mild Cognitive Impairment Classification Using Brain Images

Alzheimer's disease is a chronic medical disorder that affects people aged in the early 60s. Significant memory loss is the most common sign of AD. Mild Cognitive Impairment is a state of dementia in which a patient has the early signs of AD. Since the brain is the most affected area, the disorders can be classified by analyzing brain tissue in various studies. Deep Convolutional Neural Network is a subset of ML techniques that use artificially connected neurons to mimic human brain. We have developed a new DNN-based system for distinguishing AD and MCI patients from Cognitively Normal people in this study. The proposed model's outcome is compared to several popular DNN models, revealing that, with an average success rate of 95. 39%, it stands out most convincingly.

Source link: https://doi.org/10.1109/ACCESS.2022.3206389


Caspase-2 mRNA levels are not elevated in mild cognitive impairment, Alzheimer’s disease, Huntington’s disease, or Lewy Body dementia

Caspase-2, a member of the caspase family with both apoptotic and non-apoptotic characteristics, has been shown to mediate synaptic deficits in models of several neurological disorders, including Alzheimer's disease, Huntington's disease, and Lewy Body dementia. Capase-2 protein levels in these diseases have been increasing in the presence of caspase-2 mRNA expression, which leads us to conclude that elevated caspase-2 protein levels are due to increased transcription of caspase-2 mRNA. There are two major isoforms of caspase-2 mRNA, caspase-2L, and caspase-2S. We tested our hypothesis by measuring the mRNA isoforms' normalized to RPL13 mRNA, a reference gene that showed no disease-associated changes. The Caspase-2S mRNA showed a non-significant decline in AD in AD. MRNA expression remained unchanged between disease groups and controls, with exceptions to u03b2III-tubulin mRNA expression remaining unchanged. Presynaptic dysfunction plays a role in neurodegeneration and neurodegeneration's cognitive deficits, according to the decrease of SNAP25 mRNA expression.

Source link: https://doaj.org/article/247638472b3a4a11948a6d858c3437c5


Quantitative gait analysis in mild cognitive impairment, dementia, and cognitively intact individuals: a cross-sectional case–control study

Abstract Background: To assess brain function, cognitive age-related decline is attributed to dementia development and gait, according to a study. This research was designed to see if spatiotemporal gait variables could be used to distinguish between the three cognitive status groups. Effects of cognitive status and walking task were determined using a two-way ANCOVA. The use of descriptive statistics in order to distinguish between three groups of gait variables was used to distinguish between three groups. Conclusions There were clear differences between the MCI and dementia and cognitively intact groups during single and dual-task walking in many variables between the MCI and dementia, as well as between dementia and cognitively healthy groups, although no difference was seen between the MCI and dementia groups. In both single and dual-tasks, discriminative skills were demonstrated by spatiotemporal gait variables. This means that gait could potentially be used as a diagnostic differentiation indicator for individuals with cognitive impairments.

Source link: https://doi.org/10.1186/s12877-022-03405-9


A 'good dyadic relationship' between older couples with one having mild cognitive impairment: a Q-methodology

Abstract Background The cognitive impairment gradually brings changes to the marriage between older married couples. This research sought to discover if there were similarities and differences in their attitudes regarding their relationship and wellbeing in the case of mild cognitive impairment. Methods Q-methodology was used to investigate the perceptions of a "good dyadic marriage"u2019 among couples with one of them having MCI. The Q-sort was completed by Forty people with MCI and forty spousal partners. On measures of the quality of the marriage and closeness with the partner, couples with discrepant views scored significantly higher. From both directions, this research advances the theoretical study of the dyadic relationship between couples and one that has MCI. MCI is a state in which couples can freely discuss their desires.

Source link: https://doi.org/10.1186/s12877-022-03449-x


Identification of mild cognitive impairment subtypes predicting conversion to Alzheimer’s disease using multimodal data

Hence, detailed subpoena of MCI patients and accurate prediction of patients in whom MCI will cause AD dementia are likely is useful in determining at-risk populations and their underlying biologic characteristics. We constructed a model that simultaneously subtypes MCI subjects and predicts conversion to AD as well as an investigation of each subtype's biological characteristics. The HML-generated decision tree was also used to identify-five subtypes of MCI. Three subtypes of MCI were further divided into three categories: one subtype with low conversion rates; three subtypes with moderate conversion rates; and one with high conversion rates. The subtypes with moderate conversion rates were then divided into a group with CSF biomarker abnormalities and a group with cerebral atrophy.

Source link: https://doi.org/10.1016/j.csbj.2022.08.007

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions