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Functional connectivity for discrimination between mild cognitive impairment and subjective cognitive decline in Alzheimer disease: A study on resting‐state EEG rhythms in the Peruvian population
Author(s) -
Vilca Brenda Nadia Chino,
Fernández Ricardo Bruña,
Maestú Fernando,
Acobo Roxana Castillo
Publication year - 2020
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1002/alz.039174
Subject(s) - dementia , neuropsychology , electroencephalography , population , cognitive decline , disease , cognition , psychology , montreal cognitive assessment , resting state fmri , default mode network , alzheimer's disease , audiology , medicine , psychiatry , neuroscience , pathology , environmental health
Background The increase in cases of dementia worldwide has promoted the development of research for its detection and early intervention. However, the strategies, procedures, and tools designed to address the problem from the international level have found significant barriers in its implementation in Latin American countries, where factors such as socio‐demographic variability and clinical techniques limit their scope in terms of identification and intervention. Under this framework, research with signals in EEG / MEG has shown that the analysis of functional connectivity can be a sensitive biomarker in neurodegenerative processes, including the analysis of pre‐symptomatic stages with subsequent conversion to Alzheimer disease. This study seeks to develop robust methods for the diagnosis and characterization of Alzheimer's disease (AD) in the phase from the analysis of 160‐channel EEG signals in the Peruvian population. Method 500 screening evaluations were carried out, with 75 adults/seniors between 50 and 75 years of age being selected: 17 subjective cognitive declines, 24 with a family history of dementia and 31 mild cognitive impairment. The participants underwent four evaluation sessions, which included an EEG record in a state of rest (eyes closed and eyes open) and neuropsychological tests. Result The functional connectivity patterns are consistent with similar studies using MEG in European and North‐American population. Conclusion Our results demonstrate the utility of the EEG for the diagnosis and distinction of the previous stages of AD and the variation of the default mode network between QSM, DCL, and AF.