EEG synchrony analysis for early diagnosis of Alzheimer's disease: A study with several synchrony measures and EEG data sets

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

Volumn , Issue , 2009, Pages 2224-2227

  Dauwels, Justin ^a   Vialatte, François ^b   Latchoumane, Charles ^c   Jeong, Jaeseung ^c   Cichocki, Andrzej ^b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^c Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DISCRIMINANT ANALYSIS; NEURODEGENERATIVE DISEASES; STOCHASTIC SYSTEMS;

ALZHEIMER DISEASE; ALZHEIMER'S DISEASE; CLASSIFICATION RATES; DEMENTIA PATIENTS; GRANGER CAUSALITY; MEDICAL LITERATURES; QUADRATIC DISCRIMINANT ANALYSIS; RECORDING SYSTEMS;

DIAGNOSIS;

EID: 77950982174     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2009.5334862     Document Type: Conference Paper

References (15)

1. Mattson M., 2004. Pathways towards and away from Alzheimer's disease. Nature Vol. 430.
2. Shimokawa A., Yatomib N., Anamizuc S., Toriid S., Isonod H., Sugaid Y. and Kohnoe M., "Influence of Deteriorating Ability of Emotional Comprehension on Interpersonal Behavior in Alzheimer-Type Dementia", Brain and Cognition, Volume 47, Issue 3 pp 423-433, 2001.
3. Ballard C., Lana MM., Theodoulou M. et al, "A Randomised, Blinded, Placebo-Controlled Trial in Dementia Patients Continuing or Stopping Neuroleptics (The DART-AD Trial)" PLoS Med. 5 (4), 2008.
4. Palmer K., Berger AK., Monastero R., Winblad B., BŁckman L. and Fratiglioni L., "Predictors of progression from mild cognitive impairment to Alzheimer disease", Neurology 68 (19): 1596-1602, 2007.
5. J. Jeong, "EEG Dynamics in Patients with Alzheimer's Disease," Clinical Neurophysiology, 115:1490-1505 (2004).
6. P. Nunez and R. Srinivasan, Electric Fields of the Brain: The Neurophysics of EEG, Oxford University Press, 2006.
7. J. Dauwels, F. Vialatte, and A. Cichocki, "A Comparative Study of Synchrony Measures for the Early Diagnosis of Alzheimer's Disease Based on EEG," NeuroImage, under revision. Available from http://www.dauwels.com/ files/NeuroImage2009.pdf
8. M. Kamiński and Hualou Liang, "Causal Influence: Advances in Neurosignal Analysis," Critical Review in Biomedical Engineering, 33(4):347-430 (2005).
9. J.-P. Lachaux, E. Rodriguez, J. Martinerie, and F. J. Varela, "Measuring Phase Synchrony in Brain Signals," Human Brain Mapping 8:194-208 (1999).
10. R. Q. Quiroga, A. Kraskov, T. Kreuz, and P. Grassberger, "Performance of Different Synchronization Measures in Real Data: A Case Study on EEG Signals," Physical Review E, vol.65, 2002.
11. J. Dauwels, F. Vialatte, T. Rutkowski, and A. Cichocki, "Measuring neural synchrony by message passing," Advances in Neural Information Processing Systems 20 (NIPS 20), 2008, in press.
12. J. Dauwels, F. Vialatte, T. Weber, and A. Cichocki, "Quantifying Statistical Interdependence by Message Passing on Graphs, Part I: One-Dimensional Point Processes," Neural Computation, 2009, in press.
13. J. Dauwels, F. Vialatte, T. Weber, T. Musha, and A. Cichocki, "Quantifying Statistical Interdependence by Message Passing on Graphs, Part II: Multi-Dimensional Point Processes," Neural Computation, 2009, in press.
14. F. Vialatte, C. Martin, R. Dubois, J. Haddad, B. Quenet, R. Gervais, and G. Dreyfus, "A Machine Learning Approach to the Analysis of Time-Frequency Maps, and Its Application to Neural Dynamics," Neural Networks, 2007, 20:194-209.
15. G. Henderson, E. Ifeachor, N. Hudson, C. Goh, N. Outram, S. Wimalaratna, C. Del Percio, and F. Vecchio, "Development and assessment of methods for detecting dementia using the human electroencephalogram," IEEE Trans. Biom. Eng. 53, 2006.