ABSTRACT
BACKGROUND: Mild cognitive impairment (MCI) is considered to be the borderline of cognitive changes associated with aging and very early dementia. Cognitive functions in MCI can improve, remain stable or progress to clinically probable AD. Quantitative electroencephalography (qEEG) can become a useful tool for using the analytical techniques to quantify EEG patterns indicating cognitive impairment. OBJECTIVE: The aim of our study was to assess spectral and connectivity analysis of the EEG resting state activity in amnestic MCI (aMCI) patients in comparison with healthy control group (CogN). METHODS: 30 aMCI patients and 23 CogN group, matched by age and education, underwent equal neuropsychological assessment and EEG recording, according to the same protocol. RESULTS: qEEG spectral analysis revealed decrease of global relative beta band power and increase of global relative theta and delta power in aMCI patients. Whereas, decreased coherence in centroparietal right area considered to be an early qEEG biomarker of functional disconnection of the brain network in aMCI patients. In conclusion, the demonstrated changes in qEEG, especially, the coherence patterns are specific biomarkers of cognitive impairment in aMCI. CONCLUSIONS: Therefore, qEEG measurements appears to be a useful tool that complements neuropsychological diagnostics, assessing the risk of progression and provides a basis for possible interventions designed to improve cognitive functions or even inhibit the progression of the disease.
Subject(s)
Alzheimer Disease , Cognitive Dysfunction , Humans , Brain/diagnostic imaging , Electroencephalography/methods , Cognition , Brain Mapping , Neuropsychological Tests , BiomarkersABSTRACT
Dementia is a group of symptoms of damage of higher cortical functions. The causes of dementia include brain diseases, most often chronic and progressive, leading to cognitive impairment typical of these disorders. Apart from progressive cognitive deficits, dementias may coexist with mental disorders, sleep disorders, epileptic seizures, parkinsonism and other motor disorders. Motor disorders, including gait disturbances and falls, represent a serious challenge to the health of older adults and contribute to loss of mobility and independence. Analysis of motor disturbances in the population of healthy older adults and those with progressive cognitive impairment is likely to support effective planning of pharmacological therapies and rehabilitation for this group of patients.
