Analysis of EEG background activity in Alzheimer's disease patients with Lempel–Ziv complexity and central tendency measure

Abásolo, Daniel; Hornero, Roberto; Gómez, Carlos; García, María M.; López, M.

doi:10.1016/j.medengphy.2005.07.004

Cited by 267 publications

(242 citation statements)

References 41 publications

(72 reference statements)

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“…Other EEG/MEG studies demonstrated that AD patients had lower LZC values than controls. 3,11 Despite their drawbacks, traditional non-linear methods, like D2 and L1, also have been used to estimate the complexity of EEG/MEG recordings. 5,20,40 Previous studies have suggested that D2 and L1 values are lower in AD patients' EEGs than in controls' ones.…”

Section: Discussionmentioning

confidence: 99%

“…EEG/MEG studies demonstrated that AD patients have significantly lower Lempel-Ziv complexity (LZC) values than elderly control subjects. 3,11 The application of neural networks and fuzzy logic techniques to classify AD patients' brain recordings has not received much attention. Besthorn et al 5 employed a neural network to recognize the EEGs from AD patients and controls.…”

Section: Nowadays Electroencephalography (Eeg) and Magnetoencephalogmentioning

confidence: 99%

“…LZC has been widely applied to EEG/MEG data and other biomedical signals. 3,11,31,41 LZC analysis is based on a coarse-graining of the measurements, so the MEG time series must be transformed into a finite symbol sequence. In this study, we used the simplest way: a binary sequence conversion (zeros and ones), since previous studies suggested that this kind of conversion may keep enough signal information.…”

Section: Lempel-ziv Complexity (Lzc)mentioning

confidence: 99%

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Analysis of MEG Background Activity in Alzheimer’s Disease Using Nonlinear Methods and ANFIS

et al. 2009

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Section: Discussionmentioning

confidence: 99%

Section: Nowadays Electroencephalography (Eeg) and Magnetoencephalogmentioning

confidence: 99%

Section: Lempel-ziv Complexity (Lzc)mentioning

confidence: 99%

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Analysis of MEG Background Activity in Alzheimer’s Disease Using Nonlinear Methods and ANFIS

et al. 2009

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“…Thus, it is possible that other conversions with more symbols could keep more information from the signal. Previous studies have suggested that a binary conversion is enough to study the complexity of a system [8], although a recent study seems to contradict this asseveration [17].…”

Section: Uncoupling and Isolationmentioning

confidence: 94%

“…LZ complexity has been applied to recognize structural regularities and to characterize DNA sequences [15,16]. This nonlinear method has also been used to measure the complexity of electroencephalogram background activity in patients with Alzheimer's disease and in control subjects [17]. Other authors have applied LZ complexity in electrocardiogram dynamics for the detection of arrhythmias [10].…”

Section: Quantifying Complexity In a Time Seriesmentioning

confidence: 99%

Complexity analysis of the cerebrospinal fluid pulse waveform during infusion studies

et al. 2010

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PURPOSE: Nonlinear dynamics has enhanced the diagnostic abilities of some physiological signals. Recent studies have shown that the complexity of the intracranial pressure (ICP) waveform decreases during periods of intracranial hypertension in paediatric patients with acute brain injury. We wanted to assess changes in the complexity of the cerebrospinal fluid (CSF) pressure signal over the large range covered during the study of CSF circulation with infusion studies. METHODS:We performed 37 infusion studies in patients with hydrocephalus of various types and origin (median age 71 years; interquartile range 60-77 years). After 5 minutes of baseline measurement, infusion was started at a rate of 1.5 ml/minute until a plateau was reached. Once the infusion finished, CSF pressure was recorded until it returned to baseline. We analyzed CSF pressure signals using the LempelZiv (LZ) complexity measure. To characterize more accurately the behaviour of LZ complexity, the study was segmented into four periods: basal, early infusion, plateau and recovery. RESULTS:The LZ complexity of the CSF pressure decreased in the plateau of the infusion study compared to the basal complexity (p=0.0018). This indicates loss of complexity of the CSF pulse waveform with intracranial hypertension. We also noted that the level of complexity begins to increase when the infusion is interrupted and CSF pressure drops towards the initial values. CONCLUSIONS:The LZ complexity decreases when CSF pressure reaches the range of intracranial hypertension during infusion studies. This finding provides further evidence of a phenomenon of decomplexification in the pulsatile component of the pressure signal during intracranial hypertension.

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Electrophysiological changes in poststroke subjects with depressed mood: A quantitative EEG study

Wang

Chen

Sun

et al. 2018

Int J Geriat Psychiatry

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Analysis of EEG background activity in Alzheimer's disease patients with Lempel–Ziv complexity and central tendency measure

Cited by 267 publications

References 41 publications

Analysis of MEG Background Activity in Alzheimer’s Disease Using Nonlinear Methods and ANFIS

Analysis of MEG Background Activity in Alzheimer’s Disease Using Nonlinear Methods and ANFIS

Complexity analysis of the cerebrospinal fluid pulse waveform during infusion studies

Electrophysiological changes in poststroke subjects with depressed mood: A quantitative EEG study

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