Time-variant estimation of directed influences during Parkinsonian tremor

Journal of Physiology Paris

Volumn 103, Issue 6, 2009, Pages 348-352

  Sommerlade, Linda ^a   Henschel, Kathrin ^a   Wohlmuth, Johannes ^a   Jachan, Michael ^a,b   Amtage, Florian ^b   Hellwig, Bernhard ^b   Lücking, Carl Hermann ^b   Timmer, Jens ^a   Schelter, Björn ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

^b UNIVERSITY OF FREIBURG   (Germany)

Author keywords

Multivariate time series; Partial directed coherence; Time variant estimation

Indexed keywords

ARTICLE; BRAIN FUNCTION; INFORMATION PROCESSING; MENTAL TASK; PARAMETRIC TEST; PARKINSON DISEASE; STATISTICAL MODEL; TIME SERIES ANALYSIS; TREMOR; BIOLOGICAL MODEL; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; ELECTROMYOGRAPHY; FOREARM; HUMAN; NERVE CELL; NERVE CELL NETWORK; PATHOPHYSIOLOGY; PHYSIOLOGY; SIGNAL PROCESSING; SKELETAL MUSCLE; SUBTHALAMIC NUCLEUS; TIME;

COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; ELECTROMYOGRAPHY; FOREARM; HUMANS; MODELS, NEUROLOGICAL; MUSCLE, SKELETAL; NERVE NET; NEURONS; PARKINSON DISEASE; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTHALAMIC NUCLEUS; TIME FACTORS; TREMOR;

EID: 75349093224     PISSN: 09284257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jphysparis.2009.07.005     Document Type: Article

References (13)

1. Akaike H. Fitting autoregressive models for prediction. Ann. Inst. Stat. Math. 1969, 21:243-247.
2. Baccala L.A., Sameshima K. Partial directed coherence: a new concept in neural structure determination. Biol. Cybern. 2001, 84:463-474.
3. Deuschl G., Krack P., Lauk M., Timmer J. Clinical neurophysiology of tremor. J. Clin. Neurophysiol. 1996, 13:110-121.
4. Granger J. Investigating causal relations by econometric models and cross-spectral methods. Econometrica 1969, 37:424-438.
5. Hellwig B., Schelter B., Guschlbauer B., Timmer J., Lücking C. Dynamic synchronisation of central oscillators in essential tremor. Clin. Neurophysiol. 2003, 114:1462-1467.
6. Quiroga R.Q., Nadasdy Z. Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering. Neural Computat. 2004, 16:1661-1687.
7. Schelter B., Winterhalder M., Eichler M., Peifer M., Hellwig B., Guschlbauer B., Lücking C., Dahlhaus R., Timmer J. Testing for directed influences among neural signals using partial directed coherence. J. Neurosci. Methods 2006, 152:210-219.
8. Schelter B., Winterhalder M., Hellwig B., Guschlbauer B., Lücking C.H., Timmer J. Direct or indirect? Graphical models for neural oscillators. J. Physiol. Paris 2006, 99:37-46.
9. Schwarz G. Estimating the dimension of a model. Ann. Stat. 1978, 6:461-464.
10. Shumway R., Stoffer D. Time Series Analysis and its Application 2000, Springer, New York.
11. Timmer J. Modeling noisy time series: physiological tremor. Int. J. Bifurcat. Chaos 1998, 8:1505-1516.
12. Wan, E.A., Nelson, A.T., 1997. Neural dual extended Kalman filtering: applications in speech enhancement and monaural blind signal separation. In: IEEE Proceedings in Neural Networks for Signal Processing: VII. Proceedings of the 1997 IEEE Workshop, pp. 466-475.
13. Wan E.A., Nelson A.T. Dual extended Kalman filter methods. Kalman Filtering and Neural Networks 2001, John Wiley, New York.