EEG Papers

New

• Cerebral and hippocampal volumetry in early Alzheimer's disease
  Sitoh, Y.-Y. Karthik, J. Rajapakse, J.C. Wee-Tin Hong Wei-Ling Lee Sahadevan, S. Jing-Jih Chin
  Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. 
   

• Generalized synchronization of chaos in directionally coupled chaotic systems 
  Rulkov NF, Sushchik MM, Tsimring LS, Abarbanel HD.
  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 1995 Feb;51(2):980-994. 
   

• The Freeman Laboratory for Nonlinear Neurodynamics
  http://sulcus.berkeley.edu/
   

• Prof. Walter J. Freeman, M.D.
  http://sulcus.berkeley.edu/wjf/ 
   

• Mass Action in the Nervous System
  Book (507 pages)
  http://sulcus.berkeley.edu/wjf/MANS/MANS.pdf 
    

• Disturbed fluctuations of resting state EEG synchronization in Alzheimer's disease 
  C.J. Stam, T. Montez, B.F. Jones, S.A.R.B. Rombouts, Y. van der Made, Y.A.L. Pijnenburg and Ph. Scheltens
  Pages 708-715
   

• EEG filtering based on blind source separation (BSS) for early detection of Alzheimer's disease 
  Andrzej Cichocki, Sergei L. Shishkin, Toshimitsu Musha, Zbigniew Leonowicz, Takashi Asada and Takayoshi Kurachi
  Pages 729-737
   

• A new EEG method for estimating cortical neuronal impairment that is sensitive to early stage Alzheimer''s disease. 
  Clinical Neurophysiology, Volume 113, Issue 7, Page 1052
  T. Musha
   

• EEG filtering based on blind source separation (BSS) for early detection of Alzheimer's disease 
  Clinical Neurophysiology, Volume 116, Issue 3, March 2005, Pages 729-737
  Andrzej Cichocki, Sergei L. Shishkin, Toshimitsu Musha, Zbigniew Leonowicz, Takashi Asada and Takayoshi Kurachi
   

• John V Bowler, David G Munoz, Harold Merskey, and Vladimir Hachinski
  Factors affecting the age of onset and rate of progression of Alzheimer's disease
  J. Neurol. Neurosurg. Psychiatry, Aug 1998; 65: 184 - 190.
   

• Advances in the early detection of Alzheimer's disease
  Peter J Nestor, Philip Scheltens and John R Hodges
  Nature Reviews Neuroscience 5, S34–S41 (2004)
  http://www.nature.com/cgi-taf/DynaPage.taf?file=/nm/journal/v10/n7s/abs/nrn1433.html&dynoptions=doi1110158662  
   

• Links EEG coherence reflects regional corpus callosum area in Alzheimer's disease.
  Pogarell O, Teipel SJ, Juckel G, Gootjes L, Moller T, Burger K, Leinsinger G, Moller HJ, Hegerl U, Hampel H.
  J Neurol Neurosurg Psychiatry. 2005 Jan;76(1):109-11
    

• EEG synchronization likelihood in mild cognitive impairment and Alzheimer’s disease during a working memory task
  Y.A.L. Pijnenburga,*, Y. vd Madeb, A.M. van Cappellen van Walsumb, D.L. Knolc, Ph. Scheltensa, C.J. Stamb
  Clinical Neurophysiology 115 (2004) 1332–1339
  http://www.alzheimercentrum.nl/downloads/cn_200401.pdf 
   

• Analysis of the Spatiotemporal EEG Pattern in Alzheimer's Disease 
  Hyung-Rae Kim , Soo-Yong Kim and Seong-Jong Park 
  Journal of the Korean Physical Society, Vol. 34, No. 4, April 1999, pp. 390 396
  http://icpr.snu.ac.kr/resource/wop.pdf/J01/1999/034/R04/J011999034R040390.pdf 
   

• A comparative study of the performance of screening tests for senile dementia using receiver operating characteristics analysis
  Karen Ritchie and Rebecca Fuhrer
  Journal of Clinical Epidemiology, Volume 45, Issue 6, June 1992, Pages 627-637 
   

• A computer program for non-parametric receiver operating characteristic analysis
  Stephen Vida
  Computer Methods and Programs in Biomedicine, Volume 40, Issue 2, June 1993, Pages 95-101 
  

• Rebecca Fuhrer (Professor, Department of Epidemiology, McGill University, Quebec)
  (Biostatistics & Occupational Health)
  http://crdh.concordia.ca/En/Faculty/Rebecca%20Fuhrer/Rebecca%20Fuhrer.htm 
   

• Stephen Vida ()
  http://www.medicine.mcgill.ca/psychiatry/postgrad/geriatric/geriamgh.htm 
   

• Screening for Ophthalmic Disease in Older Subjects Using Visual Acuity and Contrast Sensitivity 
  http://www.eri.harvard.edu/faculty/peli/lab/woods/publications/Woods_etal_Ophthal_98.pdf 
   

Guidelines

• American Clinical Neurophysiology Society
  http://www.acns.org
   

Unsorted

• Recurrent Neural Network Based Approach for Early Recognition of Alzheimer's disease in EEG 
  A. Petrosian, D. Prokhorov, W. Lajara-Nanson, and B. Schiffer
  Clinical Neurophysiology, Vol.112/8, pp. 1378-1387, 2001. 
  http://mywebpages.comcast.net/dvp/rnn_cn_final.pdf 
   

• Mental EEG Analysis Based on Independent Component Analysis
  Xiaopei Wu and Xiaojing Guo
  ISPA 2003 - 3rd International Symposium on Image and Signal Processing and Analysis
  September 18-20, 2003 - Rome, Italy 
  http://www.isispa.org/ispa03/ 
   

• Quantitative electroencephalography in Alzheimer’s disease: comparison with a control group, population norms and mental status
  Verner Knott, PhD; Erich Mohr, PhD; Colleen Mahoney, BA; Vadim Ilivitsky, MD
  http://collection.nlc-bnc.ca/100/201/300/cdn_medical_association/jpn/vol-26/issue-2/pdf/pg106.pdf 
   

• Alzheimer’s disease – A challenge in the new millennium
  M. K. Thakur
  http://www.ias.ac.in/currsci/jul102000/general%20article.pdf 
   

• Altered EEG Dynamical Responsivity Associated with Normal Aging and Probable Alzheimer's Disease
  W. S. Pritchard, D. W. Duke, K. L. Coburn
  Dementia 2 (1992) 102-105
  http://childpsych.columbia.edu/brainimaging/PDF/CN11201.pdf  
   

• Bispectral Analysis Of Alzheimer’s Electroencephalogram: A Preliminary Study
  R.J. Simeoni and P.M. Mills 
  http://www.wc2003.org/pdf/3840.pdf  
   

• Magnetoencephalographic and electroencephalographic studies of spontaneous activity and evoked responses in the sensorimotor system
  Vadim V. Nikouline (Academic Dissertation)
  BioMag Laboratory Helsinki University Central Hospital University of Helsinki
  http://ethesis.helsinki.fi/julkaisut/laa/kliin/vk/nikouline/magnetoe.pdf 
    

• DIMENSIONAL COMPLEXITY OF POSTUROGRAPHIC SIGNALS: I. OPTIMIZATION OF FREQUENCY SAMPLING AND RECORDING TIME
  KRZYSZTOF MICHALAK and PIOTR JAŚKOWSKI
  Current Topics in Biophysics 2002, 26(2), 235-244
  http://www.ptbf.am.wroc.pl/v262/v262_235.pdf 
    

• Non-linear dynamic complexity of the human EEG during meditation
  L.I. Aftana and S.A. Golocheikine
  http://meded-mail.ucsd.edu/~bcahn/Aftanas - Dimensional Complexity Med.pdf   
   

• Visualising chaos in a model of brain electrical activity
  Mathew P. Dafilisa, Paul D. Bourkeb, David T.J. Lileya, Peter J. Cadusch
  Computers & Graphics 26 (2002) 971–976 Chaos and graphics
  http://astronomy.swin.edu.au/~pbourke/papers/dafilis/cg_paper.pdf 
   

• Polynomial Neural Networks Learnt to Classify EEG Signals
  Vitaly Schetinin
  NIMIA-SC2001 Crema, Italy, 9-20 October 2001
  http://www.gmdh.net/articles/applic/shetinin.pdf  
   

• Bispectral Analysis Of Alzheimer’s Electroencephalogram: A Preliminary Study
  R.J. Simeoni and P.M. Mills 
  http://www.wc2003.org/pdf/3840.pdf 
    

• EEG Data Classification with Localised Structural Information
  Sameer Singh
  http://www.dcs.ex.ac.uk/research/pann/pdf/pann_SS_044.pdf 
   

• Chapter 1 NEURAL-NETWORK TECHNIQUES FOR VISUAL MINING CLINICAL ELECTROENCEPHALOGRAMS
  Vitaly Schetinin1, Joachim Schult2, and Anatoly Brazhnikov
  http://www.dcs.ex.ac.uk/people/vschetin/schetinin_chapter.pdf 
   

• Nonlinearity in EEG: Investigation by Surrogate Data Analysis 
  Das, A. & Das, P.
  http://www.complexity.org.au/ci/draft/draft/das02/das02s.pdf 
   

• Altered EEG Dynamical Responsivity Associated with Normal Aging and Probable Alzheimer's Disease
  W. S. Pritchard, D. W. Duke, K. L. Coburn
  Dementia 2 (1992) 102-105
  http://childpsych.columbia.edu/brainimaging/PDF/CN11201.pdf 
    

EEG Classification

• Fast classification of high-dimensional EEG signals using min-max modular neural networks
  Bao-Liang Lu, Jonghan Shin, and Michinori Ichikawa
  RIKEN Review No. 40 (October, 2001): Focused on High Performance Computing in RIKEN 2000
  http://www.riken.go.jp/lab-www/library/publication/review/pdf/No_40/40_058.pdf  
   

• A Simple Generative Model for Single-Trial EEG Classifcation
  Jens Kohlmorgen and Benjamin Blankertz
  http://www.first.fraunhofer.de/owx_medien/pdf/577_KohBla02.pdf  
   

• SUPPORT VECTOR EEG CLASSIFICATION IN THE FOURIER AND TIME-FREQUENCY CORRELATION DOMAINS
  Gary N. Garcia, Touradj Ebrahimi and Jean-Marc Vesin
  http://lts1pc19.epfl.ch/repository/Garcia2003_437.pdf  
   

• HMMs and Coupled HMMs for Multi-channel EEG Classification
  Shi Zhong and Joydeep Ghosh
  http://www.lans.ece.utexas.edu/papers/zhong_ijcnn2002.pdf  
   

• Neuro-Fuzzy 
  http://tamarugo.cec.uchile.cl/~clperez/papers/Classification_Sleep_stages_EMBS_2002.pdf  
   

• Controlling Computers with EEG Signals 
  http://www.cs.hmc.edu/~bjc/research/  
   

• Independent Component Analysis and Evolving Fuzzy Neural Networks for the Classification of Single Trial EEG Data
  Carl Stuart Leichter1 , Andrzej Cichocki2 , and Nik Kasabov
  http://divcom.otago.ac.nz/infosci/kel/CBIIS/pubs/pdf/CSL-ANNES01.pdf  
   

Brain Computer Interface

• Controlling Computers with EEG Signals - related papers
  http://www.cs.hmc.edu/~bjc/research/related-papers.html 
   

Seizure detection

• Publications of the Engineering in Epilepsy Group
  http://ioz.seas.upenn.edu/Publications/BPubs.htm
   

Analysis and Classification

• Bispectral analysis of the rat EEG during various vigilance states
  Ning, T.; Bronzino, J.D.;
  Biomedical Engineering, IEEE Transactions on , Volume: 36 , Issue: 4 , April 1989 Pages:497 - 499
   

• Knowledge-based approach to sleep EEG analysis-a feasibility study
  Jansen, B.H.; Dawant, B.M.;
  Biomedical Engineering, IEEE Transactions on , Volume: 36 , Issue: 5 , May 1989 Pages:510 - 518
   

• Application of prewhitening to AR spectral estimation of EEG
  Birch, G.E.; Lawrence, P.D.; Lind, J.C.; Hare, R.D.;
  Biomedical Engineering, IEEE Transactions on , Volume: 35 , Issue: 8 , Aug. 1988 Pages:640 - 645
   

• Determining mental state from EEG signals using parallel implementations of neural networks
  Charles W. Anderson and Saikumar V. Devulapalli and Erik A. Stolz 
  Scientific Programming, Volume 4, Number 3, Fall, 1995 p171-183
  http://www.cs.colostate.edu/~anderson/pubs/sciprog95.ps 
   

• EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
  Arnaud Delorme and Scott Makeig
  Journal of Neuroscience Methods, in press
  http://www.sccn.ucsd.edu/~arno/mypapers/eeglab.pdf 
   

• Remote detection of human electroencephalograms using ultrahigh input impedance electric potential sensors
  C. J. Harland, T. D. Clark,a) and R. J. Prance
  APPLIED PHYSICS LETTERS VOLUME 81, NUMBER 17 21 OCTOBER 2002
  http://scitation.aip.org/getpdf/servlet/GetPDFServlet?filetype=pdf&id=APPLAB000081000017003284000001&idtype=cvips 
   

• Statistical mechanics of neo-cortical interactions:  Training and testing canonical momenta indicators of EEG (1998)
  L. Ingber 
  Mathematical  Computer Modelling. Volume 27. Number 3. Pages 33-64.
  http://www.ingber.com/smni98_cmi_test.ps.gz 
   

• Sonifications for EEG Data Analysis
  T. Hermann, P. Meinicke, H. Bekel, H. Ritter, H. M. Muller, S. Weiss
  Proceedings of the 2002 International Conference on Auditory Display, Kyoto, Japan, July 2–5, 2002
  http://www.icad.org/websiteV2.0/Conferences/ICAD2002/proceedings/22_Thomas_Hermann_EEG.pdf
   

• Real-time EEG Analysis with Subject-Specific Spatial Patterns for a Brain-Computer Interface
  C. Guger, H. Ramoser, G. Pfurtscheller1
  http://www.gtec.at/profile/documents/IEEECSP.pdf 
   

• Multivariate Phase Synchronization Analysis of EEG Data
  Carsten ALLEFELD and Jurgen KURTHS
  IEICE TRANS. FUNDAMENTALS, VOL.E86–A, NO.9 SEPTEMBER 2003
  http://www.agnld.uni-potsdam.de/~allefeld/sca-ieice.pdf
   

• Bispectral Analysis Of Alzheimer’s Electroencephalogram: A Preliminary Study (2003)
  R.J. Simeoni and P.M. Mills
  http://www.wc2003.org/pdf/3840.pdf 
   

• Longitudinal EEG Findings in Dementia Related to the Parietal Brain Syndrome and the Degree of Dementia
  Ĺke Edman, Milos Matousek Magnus Sjögren Anders Wallin
  Dement Geriatr Cogn Disord 1998;9:199–204
  http://content.karger.com/ProdukteDB/produkte.asp?Aktion=ShowPDF&...ilename=17047.pdf 
   

• Nonlinear considerations in EEG signal classification
  Hazarika, N.; Ah Chung Tsoi; Sergejew, A.A.;
  IEEE Transactions on Signal Processing, Volume: 45 , Issue: 4 , April 1997 Pages:829 - 836
  http://ieeexplore.ieee.org/iel4/78/12255/00564171.pdf 
    

• HMMs and Coupled HMMs for Multi-channel EEG Classsification (2002)
  S. Zhong and J. Ghosh
  Proc. IJCNN'02, Honolulu, May 2002, pp. 1154-59. abstract pdf 
  http://www.lans.ece.utexas.edu/papers/zhong_ijcnn2002.pdf 
   

• Early Cortical Orientation Selectivity: How Fast Inhibition Decodes the Order of Spike Latencies
  Delorme, A
  Journal of Computational Neuroscience, in press
  http://www.sccn.ucsd.edu/~arno/mypapers/Delorme2003.pdf
   

• Fractal Dimensions Characterizes Seizure Onset In Epileptic Patients
  R. Esteller, G. Vachtsevanos, J. Echauz, T. Henry, P. Pennell, C. Epstein, R. Bakay, C. Bowen and B. Litt
  http://icsl.marc.gatech.edu/Papers/1851.pdf 
   

• Blinking Artefact Recognition in EEG Signal by Neural Network (1999)
  R. Bogacz, U. Markowska-Kaczmar, A. Kozik
  In Proc. of 4^th Conference on Neural Networks and Their Applications, Zakopane (Poland) pp. 502-507.
  http://www.math.princeton.edu/~rbogacz/papers/Zakopane99.pdf 
   

• Temporally Constrained ICA: An Application to Artifact Rejection in Electromagnetic Brain Signal Analysis
  Christopher J. James and Oliver J. Gibson
  http://www.gibo.demon.co.uk/papers/JamesGibsonTBME.pdf 
   

• Publications from Electrical Geodesics, Inc.
  http://www.egi.com/publications.html  
   

• Published Papers in Referred Journals 
  http://www.shu.ac.uk/schools/eng/research/eit/dsp/dsp_publications.htm 
   

• EEG Alpha Power and Coherence time courses in a Sustained Attention Task
  S.P. Kelly1, P. Dockree2, R.B. Reilly1, I.H. Robertson
  Proceedings of IEEE International Conference on Neural Engineering, Capri, March 2003
  http://ee.ucd.ie/~simon/NEpaperheading.pdf
   

• An LZ Approach to ECG Compression
  R. Nigel Horspool and Warren J. Windels
  http://www.cs.uvic.ca/~nigelh/Publications/ECG-compression.pdf
   

• DETECTION OF FOCAL EPILEPTIFORM ACTIVITY IN THE EEG: AN SVD AND DIPOLE MODEL APPROACH
  Bart Vanrumste, Richard D. Jones and Philip J. Bones
  Proceedings of the Second Joint EMBS/BMES Conference Houston, TX, USA, October 23-26, 2002
  http://www.elec.canterbury.ac.nz/staff/visitors/bart/bvr_embs2002.pdf 
   

M.Sc. Thesis

• SIGNAL FRACTION ANALYSIS AND ARTIFACT REMOVAL IN EEG (2003)
  James N. Knight (Department of Computer Science, Colorado State University, Fort Collins, Colorado)
  http://www.cs.colostate.edu/eeg/publications/natethesis.pdf 
   

• Tool for bio-signal analysis - Application to multichannel single trial estimation of evoked potentials
  Perttu Ranta-aho
  http://it.uku.fi/biosignal/pdf/PRa_gradu.pdf  
   

• Analysis of LVQ in the Context of Spontaneous EEG Signal Classification
  Daniel Kermit Ford
  http://www.cs.hmc.edu/~bjc/research/papers/ford-ms_ps.gz  
   

• Non-Linear Principal Component Analysis and Classification of EEG During Mental Tasks
  Saikumar Devulapalli
   http://www.cs.hmc.edu/~bjc/research/papers/sai-ms_ps.ps  
   

• BJC Papers
  http://www.cs.hmc.edu/~bjc/research/related-papers.html