Integrative Frequency Power of EEG Correlates with Progression of Mild Cognitive Impairment to Dementia in Parkinson's Disease

Clinical EEG and Neuroscience

Volumn 47, Issue 2, 2016, Pages 113-117

  Gu, Youquan ^a,b   Chen, Jun ^b   Lu, Yaqin ^b   Pan, Suyue ^a  

^a SOUTHERN MEDICAL UNIVERSITY   (China)

^b LANZHOU UNIVERSITY   (China)

Author keywords

dementia; electroencephalography; mild cognitive impairment; Parkinson's disease; progression

Indexed keywords

ADULT; AGED; ALPHA RHYTHM; ARTICLE; BETA RHYTHM; CLINICAL ARTICLE; CONTROLLED STUDY; DEMENTIA; ELECTROENCEPHALOGRAPHY; FEMALE; HUMAN; MALE; MILD COGNITIVE IMPAIRMENT; MINI MENTAL STATE EXAMINATION; PARKINSON DISEASE; PREDICTIVE VALUE; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; THETA RHYTHM; COHORT ANALYSIS; DISEASE COURSE; ELECTROENCEPHALOGRAM; LONGITUDINAL STUDY; MENTAL HEALTH; MIDDLE AGED; PATHOPHYSIOLOGY; PHYSIOLOGY; PROSPECTIVE STUDY; PSYCHOLOGY; STATISTICAL MODEL;

ADULT; AGED; ALPHA RHYTHM; BETA RHYTHM; BRAIN WAVES; COHORT STUDIES; DEMENTIA; DISEASE PROGRESSION; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; LIKELIHOOD FUNCTIONS; LONGITUDINAL STUDIES; MALE; MENTAL STATUS SCHEDULE; MIDDLE AGED; MILD COGNITIVE IMPAIRMENT; PARKINSON DISEASE; PROSPECTIVE STUDIES; THETA RHYTHM;

EID: 84961726917     PISSN: 15500594     EISSN: 21695202     Source Type: Journal    
DOI: 10.1177/1550059414543796     Document Type: Article

References (19)

1. Chung CC, Kang JH, Yuan RY, et al. Multiscale entropy analysis of electroencephalography during sleep in patients with Parkinson disease. Clin EEG Neurosci. 2013; 44: 221-226.
2. Fahn S, Oakes D, Shoulson, et al.Parkinson Study Group. Levodopa and the progression of Parkinson's disease. N Engl J Med. 2004; 351: 2498-2508.
3. Caviness JN, Driver-Dunckley E, Connor DJ, et al. Defining mild cognitive impairment in Parkinson's disease. Mov Disord. 2007; 22: 1272-1277.
4. Fonseca LC, Tedrus GM, Letro GH, Bossoni AS,. Dementia, mild cognitive impairment and quantitative EEG in patients with Parkinson's disease. Clin EEG Neurosci. 2009; 40: 168-172.
5. Aarsland D, Bronnick K, Williams-Gray, et al. Mild cognitive in Parkinson disease: a multicenter pooled analysis. Neurology. 2010; 75: 1062-1069.
6. Janvin CC, Larsen JP, Aarsland D, Hugdahl K,. Subtypes of mild cognitive impairment in Parkinson's disease: progression to dementia. Mov Disord. 2006; 21: 1343-1349.
7. Sperling RA, Aisen PS, Beckett LA, et al. Toward defining the preclinical stages of Alzheimer's disease: recommendation from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement. 2011; 7: 280-292.
8. Poil SS, de Haan W, van der Flier WM, Mansvelder HD, Scheltens P, Linkenkaer-Hansen K,. Integrative EEG biomarkers predict progression to Alzheimer's disease at the MCI stage. Front Aging Neurosci. 2013; 5: 58.
9. Kanda PA, Trambaiolli LR, Lorena AC, et al. Clinician's road map to wavelet EEG as an Alzheimer's disease biomarker. Clin EEG Neurosci. 2014; 45: 104-112.
10. Zeng K, Wu XD, Cai HD, et al. Relationship between EEG beta power abnormality and early diagnosis of cognitive impairment post cerebral hemorrhage. Clin EEG Neurosci. 2013; 44: 203-208.
11. de Weerd A, Perquin W, Jonkman E,. Role of the EEG in the prediction of dementia in Parkinson's disease. Dementia. 1990; 1: 115-118.
12. Petersen RC, Smith GE, Waring SC, Ivnik RJ, Tangalos EG, Kokmen E,. Mild cognitive impairment: clinical characterization and outcome. Arch Neurol. 1999; 56: 303-308.
13. Folstein MF, Folatein SE, McHugh PR,. Mini-mental state. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975; 12: 189-198.
14. Domitrz I, Friedman A,. Electroencephalography of demented and non-demented Parkinson's disease patients. Parkinsonism Relat Disord. 1999; 5: 37-41.
15. Soikkeli R, Partanen J, Soininen H, Paakkonen A, Riekkinen P,. Slowing of EEG in Parkinson's disease. Electroencephalogr Clin Neurophysiol. 1991; 79: 159-165.
16. Hanaoka A, Kikuchi M, Komuro R, Oka H, Kidani T, Ichikawa S,. EEG coherence analysis in never-medicated patients with panic disorder. Clin EEG Neurosci. 2005; 36: 42-48.
17. Buscema M, Rossini P, Babiloni C, Grossi E,. The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild cognitive impairment and Alzheimer's disease patients with high degree of accuracy. Artif Intell Med. 2007; 40: 127-141.
18. Yuvaraj R, Murugappan M, Mohamed Ibrahim N, et al. On the analysis of EEG power, frequency and asymmetry in Parkinson's disease during emotion processing. Behav Brain Funct. 2014; 10: 12.
19. Kopell N, Whittington MA, Kramer MA,. Neuronal assembly dynamics in the beta 1 frequency range permits short-term memory. Proc Natl Acad Sci U S A. 2011; 108: 3779-3784.