Article (Scientific journals)
Characterization of the dynamic behavior of neural activity in Alzheimer's disease: exploring the non-stationarity and recurrence structure of EEG resting-state activity.
Nunez Novo, Pablo; Poza, Jesús; Gómez, Carlos et al.
2020In Journal of Neural Engineering, 17 (1), p. 016071
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Keywords :
Aged; Aged, 80 and over; Alzheimer Disease/physiopathology; Alzheimer Disease/psychology; Brain/physiopathology; Brain Mapping/methods; Brain Mapping/psychology; Cognitive Dysfunction/physiopathology; Cognitive Dysfunction/psychology; Electroencephalography/methods; Electroencephalography/psychology; Female; Humans; Male; Rest/physiology; Rest/psychology; Wavelet Analysis; Alzheimer's disease; mild cognitive impairment; non-stationarity; recurrence quantification analysis; recurrence structure; Continuous Wavelet Transform; Electroencephalographic (EEG); Kullback-Leibler divergence; Mild cognitive impairments; Mild cognitive impairments (MCI); Non-stationarities; Brain; Brain Mapping; Cognitive Dysfunction; Electroencephalography; Rest; Biomedical Engineering; Cellular and Molecular Neuroscience
Abstract :
[en] [en] OBJECTIVE: Mild cognitive impairment (MCI) and dementia due to Alzheimer's disease (AD) have been shown to induce perturbations to normal neuronal behavior and disrupt neuronal networks. Recent work suggests that the dynamic properties of resting-state neuronal activity could be affected by MCI and AD-induced neurodegeneration. The aim of the study was to characterize these properties from different perspectives: (i) using the Kullback-Leibler divergence (KLD), a measure of non-stationarity derived from the continuous wavelet transform; and (ii) using the entropy of the recurrence point density ([Formula: see text]) and the median of the recurrence point density ([Formula: see text]), two novel metrics based on recurrence quantification analysis. APPROACH: KLD, [Formula: see text] and [Formula: see text] were computed for 49 patients with dementia due to AD, 66 patients with MCI due to AD and 43 cognitively healthy controls from 60 s electroencephalographic (EEG) recordings with a 10 s sliding window with no overlap. Afterwards, we tested whether the measures reflected alterations to normal neuronal activity induced by MCI and AD. MAIN RESULTS: Our results showed that frequency-dependent alterations to normal dynamic behavior can be found in patients with MCI and AD, both in non-stationarity and recurrence structure. Patients with MCI showed signs of patterns of abnormal state recurrence in the theta (4-8 Hz) and beta (13-30 Hz) frequency bands that became more marked in AD. Moreover, abnormal non-stationarity patterns were found in MCI patients, but not in patients with AD in delta (1-4 Hz), alpha (8-13 Hz), and gamma (30-70 Hz). SIGNIFICANCE: The alterations in normal levels of non-stationarity in patients with MCI suggest an initial increase in cortical activity during the development of AD. This increase could possibly be due to an impairment in neuronal inhibition that is not present during later stages. MCI and AD induce alterations to the recurrence structure of cortical activity, suggesting that normal state switching during rest may be affected by these pathologies.
Disciplines :
Neurology
Author, co-author :
Nunez Novo, Pablo  ;  Biomedical Engineering Group, University of Valladolid, Valladolid, Spain. Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina CIBER-BBN, Valladolid, Spain. Author to whom any correspondence should be addressed
Poza, Jesús ;  Biomedical Engineering Group, University of Valladolid, Valladolid, Spain ; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina CIBER-BBN, Valladolid, Spain ; IMUVA, Instituto de Investigación en Matemáticas, University of Valladolid, Valladolid, Spain
Gómez, Carlos ;  Biomedical Engineering Group, University of Valladolid, Valladolid, Spain ; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina CIBER-BBN, Valladolid, Spain
Barroso-García, Verónica ;  Biomedical Engineering Group, University of Valladolid, Valladolid, Spain ; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina CIBER-BBN, Valladolid, Spain
Maturana-Candelas, Aarón ;  Biomedical Engineering Group, University of Valladolid, Valladolid, Spain ; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina CIBER-BBN, Valladolid, Spain
Tola-Arribas, Miguel A ;  Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina CIBER-BBN, Valladolid, Spain ; Department of Neurology, Río Hortega University Hospital, Valladolid, Spain
Cano, Mónica;  Department of Clinical Neurophysiology, Río Hortega University Hospital, Valladolid, Spain
Hornero, Roberto ;  Biomedical Engineering Group, University of Valladolid, Valladolid, Spain ; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina CIBER-BBN, Valladolid, Spain ; IMUVA, Instituto de Investigación en Matemáticas, University of Valladolid, Valladolid, Spain
Language :
English
Title :
Characterization of the dynamic behavior of neural activity in Alzheimer's disease: exploring the non-stationarity and recurrence structure of EEG resting-state activity.
Publication date :
25 February 2020
Journal title :
Journal of Neural Engineering
ISSN :
1741-2560
eISSN :
1741-2552
Publisher :
Institute of Physics Publishing, England
Volume :
17
Issue :
1
Pages :
016071
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
Ministry of Science and Innovation [ES]
ERDF - European Regional Development Fund [BE]
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since 17 May 2023

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