Change in the Characteristics of EEG Color Noise in Alzheimer’s Disease
暂无分享,去创建一个
Ales Procházka | Oldrich Vysata | Robert Rusina | Jaromír Kukal | Jan Mares | Martin Valis | O. Vysata | J. Kukal | A. Procházka | L. Pazdera | M. Valis | J. Mares | R. Rusina | Ladislav Pazdera
[1] E. John,et al. Decreased EEG synchronization in Alzheimer’s disease and mild cognitive impairment , 2005, Neurobiology of Aging.
[2] A. Dale,et al. Alzheimer disease: quantitative structural neuroimaging for detection and prediction of clinical and structural changes in mild cognitive impairment. , 2009, Radiology.
[3] K. Linkenkaer-Hansen,et al. Long-Range Temporal Correlations and Scaling Behavior in Human Brain Oscillations , 2001, The Journal of Neuroscience.
[4] Robi Polikar,et al. Analysis of complexity based EEG features for the diagnosis of Alzheimer's disease , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[5] Tang,et al. Self-Organized Criticality: An Explanation of 1/f Noise , 2011 .
[6] Das. Applicability of Lyapunov Exponent in EEG data analysis , 2022 .
[7] C. Stam,et al. Small-world networks and functional connectivity in Alzheimer's disease. , 2006, Cerebral cortex.
[8] Alan C. Evans,et al. Neuronal Networks in Alzheimer's Disease , 2009, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[9] C. J. Stam,et al. Global dynamical analysis of the EEG in Alzheimer’s disease: Frequency-specific changes of functional interactions , 2008, Clinical Neurophysiology.
[10] L. de Arcangelis,et al. Learning as a phenomenon occurring in a critical state , 2010, Proceedings of the National Academy of Sciences.
[11] M. Folstein,et al. Clinical diagnosis of Alzheimer's disease: Report of the NINCDS—ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease , 2011, Neurology.
[12] Olaf Sporns,et al. Network structure of cerebral cortex shapes functional connectivity on multiple time scales , 2007, Proceedings of the National Academy of Sciences.
[13] Tang,et al. Self-organized criticality. , 1988, Physical review. A, General physics.
[14] Paolo De Los Rios,et al. Universal 1/f Noise from Dissipative Self-Organized Criticality Models , 1999 .
[15] Woodrow L. Shew,et al. Information Capacity and Transmission Are Maximized in Balanced Cortical Networks with Neuronal Avalanches , 2010, The Journal of Neuroscience.
[16] Olaf Sporns,et al. Symbiotic relationship between brain structure and dynamics , 2009, BMC Neuroscience.
[17] G. Tedrus,et al. EEG Theta and Alpha Reactivity on Opening the Eyes in the Diagnosis of Alzheimer's Disease , 2011, Clinical EEG and neuroscience.
[18] Alan C. Evans,et al. Structural Insights into Aberrant Topological Patterns of Large-Scale Cortical Networks in Alzheimer's Disease , 2008, The Journal of Neuroscience.
[19] Olaf Sporns,et al. Neurobiologically Realistic Determinants of Self-Organized Criticality in Networks of Spiking Neurons , 2011, PLoS Comput. Biol..
[20] V. Calhoun,et al. Selective changes of resting-state networks in individuals at risk for Alzheimer's disease , 2007, Proceedings of the National Academy of Sciences.