Top

Cognitive Neurodynamics

Published in:

01-08-2013 | Research Article

Investigation of EEG abnormalities in the early stage of Parkinson’s disease

Authors: Chun-Xiao Han, Jiang Wang, Guo-Sheng Yi, Yan-Qiu Che

Published in: Cognitive Neurodynamics | Issue 4/2013

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

The objective of the present study was to investigate brain activity abnormalities in the early stage of Parkinson’s disease (PD). To achieve this goal, eyes-closed resting state electroencephalography (EEG) signals were recorded from 15 early-stage PD patients and 15 age-matched healthy controls. The AR Burg method and the wavelet packet entropy (WPE) method were used to characterize EEG signals in different frequency bands between the groups, respectively. In the case of the AR Burg method, an increase of relative powers in the δ- and θ-band, and a decrease of relative powers in the α- and β-band were observed for patients compared with controls. For the WPE method, EEG signals from patients showed significant higher entropy over the global frequency domain. Furthermore, WPE in the γ-band of patients was higher than that of controls, while WPE in the δ-, θ-, α- and β-band were all lower. All of these changes in EEG dynamics may represent early signs of cortical dysfunction, which have potential use as biomarkers of PD in the early stage. Our findings may be further used for early intervention and early diagnosis of PD.

previous article Hopf bifurcation and bursting synchronization in an excitable systems with chemical delayed coupling

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Adeli H, Zhou Z et al (2003) Analysis of EEG records in an epileptic patient using wavelet transform. J Neurosci Methods 123:69–87PubMedCrossRef

Akben S B, Subasi A et al (2011) Analysis of EEG signals under flash stimulation for migraine and epileptic patients. J Med Syst 35:437–443PubMedCrossRef

Akin M, Kiymik MK (2000) Application of periodogram and AR spectral analysis to EEG signals. J Med Syst 24:247–256PubMedCrossRef

Betarbet R, Sherer TB et al (2002) Animal models of Parkinson’s disease. Bioessays 24:308–318PubMedCrossRef

Bosboom JL, Stoffers D et al (2006) Resting state oscillatory brain dynamics in Parkinson’s disease: an MEG study. Clin Neurophysiol 117(11):2521–2531PubMedCrossRef

Caviness JN, Hentz JG et al (2007) Both early and late cognitive dysfunction affects the electroencephalogram in Parkinson’s disease. Parkinsonism Relat Disord 13(6):348–354PubMedCrossRef

Coifman R, Meyer Y et al (1990) Signal processing and compression with wavelet packets. Yale University, New Haven

Coifman RR, Wickerhauser MV (2008) Entropy-based algorithms for best basis selection. IEEE Trans Inf Theory 38:713–718CrossRef

Cooper JA, Sagar HJ et al (1991) Cognitive impairment in early, untreated Parkinson’s disease and its relationship to motor disability. Brain 114(Pt 5):2095–2122PubMedCrossRef

de Weerd AW, Perquin WVM et al (1990) Role of the EEG in the prediction of dementia in Parkinson’s disease. Dementia 1:115–118

Elbert T, Lutzenberger W et al (1985) Removal of ocular artifacts from the EEG—a biophysical approach to the EOG. Electroencephalogr Clin Neurophysiol 60(5):455–463PubMed

Faust O, Acharya RU et al (2008) Analysis of EEG signals during epileptic and alcoholic states using AR modeling techniques. ITBM-RBM 29:44–52

Gandal MJ, Edgar JC et al (2012) Gamma synchrony: towards a translational biomarker for the treatment-resistant symptoms of schizophrenia. Neuropharmacology 62:1504–1518PubMedCrossRef

Gomez C, Olde Dubbelink KT et al (2011) Complexity analysis of resting-state MEG activity in early-stage Parkinson’s disease patients. Ann Biomed Eng 39(12):2935–2944PubMedCrossRef

Hampel H, Frank R et al (2010) Biomarkers for Alzheimer’s disease: academic, industry and regulatory perspectives. Nat Rev Drug Discov 9:560–574PubMedCrossRef

Herrmann CS, Munk MH et al (2004) Cognitive functions of gamma-band activity: memory match and utilization. Trends Cogn Sci 8:347–355PubMedCrossRef

Hoehn MM, Yahr MD (1967) Parkinsonism: onset, progression and mortality. Neurology 17:427–442PubMedCrossRef

Kay SM (1988) Modern spectral estimation: theory and application. Prentice-Hall, New Jersey

Kay SM, Marple SL (1981) Spectrum analysis-a modern perspective. Proc IEEE 69:1380–1419CrossRef

Kheiri F, Bragin A et al (2012) Non-linear classification of heart rate parameters as a biomarker for epileptogenesis. Epilepsy Res 100:59–66PubMedCrossRef

Kotini A, Anninos P et al (2005) Low-frequency MEG activity and MRI evaluation in Parkinson’s disease. Brain Topogr 18(1):59–63PubMedCrossRef

Kyriazis M (2003) Practical applications of chaos theory to the modulation of human ageing: nature prefers chaos to regularity. Biogerontology 4(2):75–90PubMedCrossRef

Leuchter AF, Cook IA et al (2009) Effectiveness of a quantitative electroencephalographic biomarker for predicting differential response or remission with escitalopram and bupropion in major depressive disorder. Psychiatry Res 169:132–138PubMedCrossRef

Levy R, Hutchison WD et al (2000) High-frequency synchronization of neuronal activity in the subthalamic nucleus of parkinsonian patients with limb tremor. J Neurosci 20:7766–7775PubMed

Mallat S (1989) A theory for multiresolution signal decomposition: the wavelet representation. IEEE Pattern Anal Mach Intell 11:674–693CrossRef

Moazami-Goudarzi M, Sarnthein J et al (2008) Enhanced frontal low and high frequency power and synchronization in the resting EEG of parkinsonian patients. Neuroimage 41(3):985–997PubMedCrossRef

Muller V, Lutzenberger W et al (2001) Investigation of brain dynamics in Parkinson’s disease by methods derived from nonlinear dynamics. Exp Brain Res 137(1):103–110PubMedCrossRef

Neufeld MY, Inzelberg R et al (1988) EEG in demented and non-demented parkinsonian patients. Acta Neurol Scand 78:1–5PubMedCrossRef

Neufeld MY, Blumen S et al (1994) EEG frequency analysis in demented and nondemented parkinsonian patients. Dementia 5:23–28PubMed

Nunez PL, Wingeier BM et al (2001) Spatial-temporal structures of human alpha rhythms: theory, microcurrent sources, multiscale measurements, and global binding of local networks. Hum Brain Mapp 13(3):125–164PubMedCrossRef

Ocak H (2009) Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy. Expert Syst Appl 36:2027–2036CrossRef

Olde Dubbelink KTE, Stoffers D et al (2013) Cognitive decline in Parkinson’s disease is associated with slowing of resting-state brain activity: a longitudinal study. Neurobiol Aging 34(2):408–418PubMedCrossRef

Pezard L, Jech R et al (2001) Investigation of non-linear properties of multichannel EEG in the early stages of Parkinson’s disease. Clin Neurophysiol 112:38–45PubMedCrossRef

Savitt JM, Dawson VL et al (2006) Diagnosis and treatment of Parkinson disease: molecules to medicine. J Clin Invest 116:1744–1754PubMedCrossRef

Serizawa K, Kamei S et al (2008) Comparison of quantitative EEGs between parkinson disease and age-adjusted normal controls. J Clin Neurophysiol 25(6):361–366PubMedCrossRef

Shinde A (2004) A wavelet packet based sifting process and its application for structural health monitoring. Master Thesis, Faculty of Worcester Polytechnic Institute

Soikkeli R, Partanen J et al (1991) Slowing of EEG in Parkinson’s disease. Electroencephalogr Clin Neurophysiol 79:159–165PubMedCrossRef

Stam KJ, Tavy DL et al (1994) Non-linear dynamical analysis of multichannel EEG: clinical applications in dementia and Parkinson’s disease. Brain Topogr 7:141–150PubMedCrossRef

Stam CJ, Jelles B et al (1995) Investigation of EEG non-linearity in dementia and Parkinson’s disease. Electroencephalogr Clin Neurophysiol 95:309–317PubMedCrossRef

Stoffers D, Bosboom JL et al (2007) Slowing of oscillatory brain activity is a stable characteristic of Parkinson’s disease without dementia. Brain 130:1847–1860PubMedCrossRef

Tanaka H, Koenig T et al (2000) Event-related potential and EEG measures in Parkinson’s disease without and with dementia. Dement Geriatr Cogn Disord 11:39–45PubMedCrossRef

Torrence C, Compo GP (1998) A practical guide to wavelet analysis. Bull Am Meteorol Soc 79:61–78CrossRef

Valls-Sole J, Valldeoriola F (2002) Neurophysiological correlate of clinical signs in Parkinson’s disease. Clin Neurophysiol 113:792–805PubMedCrossRef

Wang D, Miao D et al (2011) Best basis-based wavelet packet entropy feature extraction and hierarchical EEG classification for epileptic detection. Expert Syst Appl 38:14314–14320

Wang M, Wang B et al (2012) A new quantitative evaluation method of spiral drawing for patients with Parkinson’s disease based on a polar coordinate system with varying origin. Physica A Stat Mech Appl 391(18):4377–4388CrossRef

Weinberger M, Hutchison WD et al (2009) Increased gamma oscillatory activity in the subthalamic nucleus during tremor in Parkinson’s disease patients. J Neurophysiol 101:789–802PubMedCrossRef

Wiklund U, Akay M et al (1997) Short-term analysis of heart-rate variability by adapted wavelet transforms. IEEE Eng Med Biol Mag 16:113–118, 138PubMedCrossRef

Wooten GF, Currie LJ et al (2004) Are men at greater risk for Parkinson’s disease than women? J Neurol Neurosurg Psychiatry 75:637–639PubMedCrossRef

Yang BH, Yan GZ et al (2006) Feature extraction for EEG-based brain-computer interfaces by wavelet packet best basis decomposition. J Neural Eng 3:251–256PubMedCrossRef

Title: Investigation of EEG abnormalities in the early stage of Parkinson’s disease
Authors: Chun-Xiao Han
Jiang Wang
Guo-Sheng Yi
Yan-Qiu Che
Publication date: 01-08-2013
Publisher: Springer Netherlands
Published in: Cognitive Neurodynamics / Issue 4/2013
Print ISSN: 1871-4080
Electronic ISSN: 1871-4099
DOI: https://doi.org/10.1007/s11571-013-9247-z

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Other articles of this Issue 4/2013

Coherent activity between auditory and visual modalities during the induction of peacefulness

Effect of inhibitory feedback on correlated firing of spiking neural network

Down syndrome’s brain dynamics: analysis of fractality in resting state

Brain fingerprinting field studies comparing P300-MERMER and P300 brainwave responses in the detection of concealed information

Hopf bifurcation and bursting synchronization in an excitable systems with chemical delayed coupling

Recovery of vesicular storage and release parameters after high frequency stimulation in rat hippocampus