Slow neuronal oscillations in the resting brain vs task execution: A BSS investigation of EEG recordings

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 1638-1641

  Demanuele, Charmaine ^a   Sonuga Barke, Edmund J S ^a   James, Christopher J ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN IMAGING; COGNITIVE ATTENTION; EEG RECORDING; ERROR RATE; FEATURE EXTRACTION AND CLASSIFICATION; MULTI-STAGE SIGNAL PROCESSING; NEURAL ACTIVITY; NEURONAL OSCILLATIONS; REACTION TIME; SLOW WAVE; TASK DIFFICULTY; TASK EXECUTIONS; TASK PERFORMANCE; VERY LOW FREQUENCY; VISUAL TASKS;

FEATURE EXTRACTION; NEURAL NETWORKS; REACTION RATES; SIGNAL PROCESSING; VISION;

BLIND SOURCE SEPARATION;

ADULT; ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BIOLOGICAL RHYTHM; BRAIN; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; FEMALE; HUMAN; MALE; METHODOLOGY; NERVE CELL NETWORK; PHYSIOLOGY; REST; TASK PERFORMANCE; VISION; YOUNG ADULT;

ADULT; ALGORITHMS; BIOLOGICAL CLOCKS; BRAIN; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; MODELS, NEUROLOGICAL; NERVE NET; REST; TASK PERFORMANCE AND ANALYSIS; VISUAL PERCEPTION; YOUNG ADULT;

EID: 78650824207     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626645     Document Type: Conference Paper

References (15)

1. G. BuzsaId and A. Draguhn, A. "Neuronal oscillations in cortical networks," Science, vol. 304, pp. 1926-1929,2004.
2. M.D. Fox and M. E. Raichle, "Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging," Nature Neuroscience Reviews, vol. 8, pp. 700-711, 2007.
3. D. Balduzzi, B. A. Riedner, and G. Tononi, "A BOLD window into brain waves," PNAS USA, vol. 105, pp. 15641-15642,2008.
4. E.J.S. Sonuga-Barke and F.x. Castellanos, "Spontaneous attentional fluctuations in impaired states and pathological conditions: a neurobiological hypothesis," Neuroscience and Biobehavioral Reviews, vol. 31, pp. 977-986, 2007.
5. A. Rothenberger, "Brain oscillations forever - neurophysiology in future research of child psychiatric problems," The Journal of Child Psychology and Psychiatry, vol. 50, pp. 79-86, 2009.
6. J. Polich, "Updating P300: An integrative theory of P3a and P3b," Clinical Neurophysiology, vol. 118, pp. 2128-2148, 2007.
7. A. Datta et al., "The P300 as a marker of waning attention and error propensity," Computational Intelligence and Neuroscience, 9 pgs, 2007.
8. M.D. Comerchero and J. Polich, "P3a and P3b from typical auditory and visual stimuli," Clinical Neurophysiology, vol. 110, pp. 24-30, 1999.
9. C.J. James, and C.W. Hesse, "Independent component analysis for biomedical signals," Physiological Measurement, vol. 26, pp. 15-39, 2005.
10. A. Ziehe and K.-R. Müller, "TDSEP - an efficient algorithm for blind separation using time structure," Proc. of ICANN, pp.675-680, 1998.
11. C. Demanuele, C.J. James and E.J.S. Sonuga-Barke, "Investigating the functional role of slow waves in brain signal recordings during rest and task conditions," Proc. of the 5th IEEE EMBS PGBIOMED, University of Oxford, UK, 2009.
12. M.H. Hayes, Statistical Digital Signal Processing and Modeling, USA: Wiley, 1996.
13. D. Lowe and M.E. Tipping, "Feedjorward neural networks and topographic mappings for exploratory data analysis," Neural Computing and Applications, vol. 4, pp. 83-95, 1996.
14. F. Itakura, "Minimum prediction residual principle applied to speech recognition," IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 23, pp. 67-72,1975.
15. I.T. Nabney, NETIAB Algorithms for Pattern Recognition. London: Springer, 2004.