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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Mild cognitive impairment.
1Rush Alzheimer's Disease Center, Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA. neelum_t_aggarwal@rsh.net
Panminerva Medica
|December 20, 2007
Summary
Mild cognitive impairment (MCI) is common in older adults and may increase the risk of dementia. Research is ongoing to find effective prevention and treatment strategies for MCI.
Area of Science:
- Gerontology
- Neurology
- Cognitive Science
Background:
- Cognitive abilities in older adults vary widely, from normal function to dementia.
- Mild cognitive impairment (MCI) describes cognitive decline that doesn't meet dementia criteria.
- MCI is prevalent in the elderly and linked to higher risks of Alzheimer's disease, parkinsonism, and disability.
Purpose of the Study:
- To review the current understanding of mild cognitive impairment (MCI).
- To discuss diagnostic approaches and prognostic indicators for MCI.
- To examine therapeutic and preventive strategies for MCI.
Main Methods:
- Review of existing literature on mild cognitive impairment.
- Analysis of clinical assessment methods for cognitive function.
- Evaluation of structural MRI's role in MCI diagnosis and prognosis.
- Assessment of therapeutic trial outcomes and ongoing prevention studies for MCI.
Main Results:
- Mild cognitive impairment (MCI) is common in older adults.
- MCI is associated with increased risk for Alzheimer's disease, parkinsonian signs, and disability.
- Current treatments targeting cholinesterase inhibitors show limited short-term benefits in MCI.
Conclusions:
- Clinical assessment of cognitive function and structural MRI are crucial for MCI diagnosis and prognosis.
- Pharmacologic prevention studies for MCI are underway and hold promise.
- Further research is needed to develop effective interventions for MCI.
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