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Coherence and phase synchrony analyses of EEG signals in Mild Cognitive Impairment (MCI): A study of functional brain connectivity Cover

Coherence and phase synchrony analyses of EEG signals in Mild Cognitive Impairment (MCI): A study of functional brain connectivity

Polish Journal of Medical Physics and Engineering
Volume 24 (2018): Issue 1 (March 2018)
By: ,  ,  ,   and    
Open Access
|Apr 2018
References

References

  1. [1] Dauwels J, Vialatte F, Latchoumane C, et al. EEG synchrony analysis for early diagnosis of Alzheimer’s disease: A study with several synchrony measures and EEG datasets. Conf Proc IEEE Eng Med Biol Soc. 2009;2009:2224-2227.
    Search in Google ScholarBack to article
  2. [2] Petrella JR, Coleman RE, Doraiswamy PM. Neuroimaging and early diagnosis of Alzheimer disease: a look to the future. Radiology. 2003;226(2):315-36.
    Search in Google ScholarBack to article
  3. [3] Braak H, Braak E. Staging of Alzheimer's disease-related neurofibrillary changes. Neurobiol Aging. 1995;16(3):271-278.
    Search in Google ScholarBack to article
  4. [4] Czigler B, Csikós D, Hidasi Z, et al. Quantitative EEG in early Alzheimer’s disease patients-power spectrum and complexity features. Int J Psychophysiol. 2008;68(1):75-80.
    Search in Google ScholarBack to article
  5. [5] Adeli H, Ghosh-Dastidar S, Dadmehr N. A spatio-temporal wavelet-chaos methodology for EEG-based diagnosis of Alzheimer’s disease. Neurosci Lett. 2008;444(2):190-194.
    Search in Google ScholarBack to article
  6. [6] Coben LA, Danziger WL, Storandt M. A longitudinal EEG study of mild senile dementia of Alzheimer type: changes at 1 year and at 2.5 years. Electroencephalogr Clin Neurophysiol. 1985;61(2):101-112.
    Search in Google ScholarBack to article
  7. [7] Giaquinto S, Nolfe G. The EEG in the normal elderly: a contribution to the interpretation of aging and dementia. Electroencephalogr Clin Neurophysiol. 1986;63(6):540-546.
    Search in Google ScholarBack to article
  8. [8] Brenner RP, Ulrich RF, Spiker DG, et al. Computerized EEG spectral analysis in elderly normal demented and depressed subjects. Electroencephalogr Clin Neurophysiol. 1986;64(6):483-492.
    Search in Google ScholarBack to article
  9. [9] Bennys K, Rondouin G, Vergnes C, Touchon J. Diagnostic value of quantitative EEG in Alzheimer’s disease. Neurophysiol Clin. 2001;31(3):153-160.
    Search in Google ScholarBack to article
  10. [10] Pijnenburg YAL, v d Made Y, van Cappellen van Walsum AM, et al. EEG synchronization likelihood in mild cognitive impairment and Alzheimer’s disease during a working memory task. Clin Neurophysiol. 2004;115(6):1332-1339.
    Search in Google ScholarBack to article
  11. [11] Stam CJ, Montez T, Jones BF, et al. Disturbed fluctuations of resting state EEG synchronization in Alzheimer’s disease. Clin Neurophysiol. 2005;116(3):708-715.
    Search in Google ScholarBack to article
  12. [12] Sakkalis V. Review of advanced techniques for the estimation of brain connectivity measured with EEG/MEG. Comput Biol Med. 2011;41(12):1110-1117.
    Search in Google ScholarBack to article
  13. [13] Uhlhaas PJ, Singer W. Neural synchrony in brain disorders: relevance for cognitive dysfunctions and pathophysiology. Neuron. 2006;52(1):155-168.
    Search in Google ScholarBack to article
  14. [14] Blinowska KJ, Kamiński M, Brzezicka A, Kamiński J. Application of directed transfer function and network formalism for the assessment of functional connectivity in working memory task. Philos Trans A Math Phys Eng Sci. 2013;371(1997):20110614.
    Search in Google ScholarBack to article
  15. [15] Dauwels J, Vialatte F, Musha T, Cichocki A. A comparative study of synchrony measures for the early diagnosis of Alzheimer’s disease based on EEG. NeuroImage. 2010;49(1):668-693.
    Search in Google ScholarBack to article
  16. [16] Locatelli T, Cursi M, Liberati D, et al. EEG coherence in Alzheimer’s disease. Electroencephalogr Clin Neurophysiol. 1998;106(3):229-237.
    Search in Google ScholarBack to article
  17. [17] Leuchter AF, Spar JE, Walter DO, Weiner H. Electroencephalograpic spectra and coherence in the diagnosis of Alzheimer’s-type and multi-infarct dementia: a pilot study. Arch Gen Psychiatry. 1987;44(11):993-998.
    Search in Google ScholarBack to article
  18. [18] Jelic V, Julin P, Shigeta M, et al. Apolipoprotein E ε4 allele decreases functional connectivity in Alzheimer’s disease as measured by EEG coherence. J Neurol Neurosurg Psychiatry. 1997;63(1):59-65.
    Search in Google ScholarBack to article
  19. [19] Adler G, Brassen S, Jajcevic A. EEG coherence in Alzheimer’s dementia. J Neural Transm. 2003;110(9):1051-1058.
    Search in Google ScholarBack to article
  20. [20] Brunovsky M, Matousek M, Edman A, et al. Objective assessment of the degree of dementia by means of EEG. Neuropsychobiology. 2003;48(1):19-26.
    Search in Google ScholarBack to article
  21. [21] Stam CJ, van der Made Y, Pijnenburg YAL, Scheltens PH. EEG synchronization in mild cognitive impairment and Alzheimer's disease. Acta Neurol Scand. 2003 Aug;108(2):90-96.
    Search in Google ScholarBack to article
  22. [22] Babiloni C, Ferri R, Moretti DV, et al. Abnormal fronto-parietal coupling of brain rhythms in mild Alzheimer’s disease: a multricentric EEG study. Eur J Neurosci. 2004;19(9):2583-2590.
    Search in Google ScholarBack to article
  23. [23] Babiloni C, Ferri R, Binetti G, et al. Fronto-parietal coupling of brain rhythms in mild cognitive impairment: a multicentric EEG study. Brain Res Bull. 2006;69(1):63-73.
    Search in Google ScholarBack to article
  24. [24] Folstein MF, Folstein SE, McHugh PR. “Mini-Mental State”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189-198.
    Search in Google ScholarBack to article
  25. [25] Nasreddine ZS, Phillips NA, Bédirian V, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695-699.
    Search in Google ScholarBack to article
  26. [26] Nunez PL, Srinivasan R, Westdorp AF, et al. EEG coherency I: Statistics reference electrode volume conduction Laplacians cortical imaging and interpretation at multiple scales. Electroencephalogr Clin Neurophysiol. 1997;103(5):499-515.
    Search in Google ScholarBack to article
  27. [27] Nunez PL, Silberstein RB, Shi Z, et al. EEG coherency II: experimental comparisons of multiple measures. Clin Neurophysiol. 1999;110(3):469-486.
    Search in Google ScholarBack to article
  28. [28] Sankari Z, Adeli H, Adeli A. Intrahemispheric, interhemispheric, and distal EEG coherence in Alzheimer’s disease. Clin Neurophysiol. 2011;122(5):897-906.
    Search in Google ScholarBack to article
  29. [29] Lachaux JP, Rodrigues E, Martinerie J, Varela FJ. Measuring phase synchrony in brain signals. Hum Brain Mapp. 1999;8(4):194-208.
    Search in Google ScholarBack to article
  30. [30] Glass A, Zappulla R, Nieves J, Diamond S. EEG coherence as a predictor of spike propagation. Electroencephalogr Clin Neurophysiol. 1992;82(1):10-16.
    Search in Google ScholarBack to article
  31. [31] Kikuchi M, Wada Y, Koshino Y, et al. Effect of normal aging upon interhemispheric EEG coherence: analysis during rest and photic stimulation. Clin Electroencephalogr. 2000;31(4):170-174.
    Search in Google ScholarBack to article
  32. [32] Anghinah R, Kanda PA, Jorge MS, et al. Alpha band coherence analysis of EEG in healthy adult’s and Alzheimer’s type dementia patients. Arq Neuropsiquiatr. 2000;58(2A):272-275.
    Search in Google ScholarBack to article
  33. [33] Jelic V, Shigeta M, Julin P, et al. Quantitative electroencephalography power and coherence in Alzheimer’s disease and mild cognitive impairment. Dementia. 1996;7(6):314-323.
    Search in Google ScholarBack to article
  34. [34] Soininen H, Riekkinen PJ. EEG in diagnostics and follow-up of Alzheimer’s disease. Acta Neurol Scand Suppl. 1992;139:36-39.
    Search in Google ScholarBack to article
  35. [35] Elmstahl S, Rosen I, Gullberg B. Quantitative EEG in elderly patients with Alzheimer’s disease and healthy controls. Dementia. 1994;5(2):119-124.
    Search in Google ScholarBack to article
  36. [36] Hogan MJ, Swanwick GR, Kaiser J, et al. Memory-related EEG power and coherence reductions in mild Alzheimer’s disease. Int J Psychophysiol. 2003;49(2):147-263.
    Search in Google ScholarBack to article
  37. [37] Jeong J. EEG dynamics in patients with Alzheimer's disease. Clin Neurophysiol. 2004;115(7):1490-1505.
    Search in Google ScholarBack to article
  38. [38] Besthorn C, Forstl H, Geiger-Kabish C, et al. EEG coherence in Alzheimer disease. Electroenceph Clin Neurophysiol. 1994;90(3):242-245.
    Search in Google ScholarBack to article
  39. [39] Güntekin B, Saatçi E, Yener G. Decrease of evoked delta, theta and alpha coherences in Alzheimer patients during a visual oddball paradigm. Brain Res. 2008;1235:109-116.
    Search in Google ScholarBack to article
  40. [40] Jiang ZY. Study on EEG power and coherence in patients with mild cognitive impairment during working memory task. J Zhejiang Univ Sci B. 2005;6(12):1213-1219.
    Search in Google ScholarBack to article
  41. [41] Basar E, Basar-Erogluc C, Karakas S, Schurmanna M. Gamma, alpha, delta, and theta oscillations govern cognitive processes. Int J Psychophysiol. 2001;39(2-3):241-248.
    Search in Google ScholarBack to article
  42. [42] Kaminski M, Blinowska KJ. Directed Transfer Function is not influenced by volume conduction-inexpedient pre-processing should be avoided. Front Comput Neurosci. 2014;8:61.
    Search in Google ScholarBack to article
  43. [43] Olejarczyk E, Marzetti L, Pizzella V, Zappasodi F. Comparison of connectivity analyses for resting state EEG data. J Neural Eng. 2017;14(3):036017.
    Search in Google ScholarBack to article
  44. [44] Kaminski M, Brzezicka A, Kaminski J, Blinowska K. Measures of coupling between neural populations based on Granger causality principle. Frontiers Comput Neurosci. 2016;10:114.
    Search in Google ScholarBack to article
  45. [45] Burgess AP. On the interpretation of synchronization in EEG hyperscanning studies: a cautionary note. Front Hum Neurosci. 2013;7:881.
    Search in Google ScholarBack to article
DOI: https://doi.org/10.2478/pjmpe-2018-0001 | Journal eISSN: 1898-0309 (formerly 1425-4689) | Journal ISSN: 1425-4689
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Language: English
Page range: 1 - 9
Submitted on: May 5, 2017
Accepted on: Nov 28, 2017
Published online: Apr 4, 2018
Published in print: Mar 1, 2018
Published by: Polish Society of Medical Physics
In partnership with: Paradigm Publishing Services
Keywords:
EEG,
mild cognitive impairment,
coherence,
phase synchrony,
Alzheimer’s disease
Related subjects:
Medicine,
Biomedical engineering,
Physics,
Technical and applied physics,
Medical physics

© 2018 Nita Handayani, Freddy Haryanto, Siti Nurul Khotimah, Idam Arif, Warsito Purwo Taruno, published by Polish Society of Medical Physics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 24 (2018): Issue 1 (March 2018)
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