Project B5

Individualized Deep Brain Stimulation

The new sensors will be tested to measure the brain areas stimulated with deep brain stimulation e.g. for Parkinson’s disease. As the stimulated field is responsible for effects and side effects of the stimulation, this will enable the clinician to meet the individual needs of the specific symptom profile. The work packages will include the development of optimal sensor locations, algorithms to locate the stimulated electrode and complex feed-forward solutions for the stimulated area. The project will combine the development of recording and analysis techniques and clinical projects.

 

Günther Deuschl
Prof. Dr. Dr. h.c.
Lead of project B5
Michael Höft
Prof. Dr.-Ing.
Lead of projects B1, B5, Z2
Mevlüt Yalaz
M.Sc.
Doctoral researcher

 

 

Role within the Collaborative Research Centre

This project is an application project from the viewpoint of the sensor development. The new sensors will be tested with this paradigm and the narrow band sensors will be specifically interesting for this project. From the clinical neuroscience point of view it is a addressing an important point within the present development of new and more customizable electrodes. It is expected that a device as planned in this project will be able to improve patient specific programming.

A3: Resonant, narrow band ME sensors are specifically needed for the present project. Close feedback of experience in patients is necessary therefore with A3.
B1, B2: Research of the ME sensor systems and arrays.
B3: Collaboration concerning artifact reduction and signal analysis. B3 will also analyze optimal placement and distance between electrodes.
B4: Both projects are using the new sensors and share experience with this.
B6: Sharing the physician doing the recordings, neurologic experience with the sensor recordings and developing the clinical studies.
Z1: ME sensors for sensor systems and arrays.
Z2: Support provided for biomagnetic measurements (construction of ME sensor systems and arrays, performing measurements with scanner, improvement of the head phantom).


The project B5 will participate in the focus group F3 “Biomagnetic Signal Analysis”.


Project-related Publications

M. Yalaz, A. Teplyuk, G. Deuschl, M. Höft, Dipole Fit Localization of the Deep Brain Stimulation Electrode using 3D Magnetic Field Measurements, IEEE Sensors Journal, (2020). doi:10.1109/JSEN.2020.2988067

M. Yalaz, A. Teplyuk, M. Muthuraman, G. Deuschl, M. Höft, The Magnetic Properties of Electrical Pulses delivered by Deep Brain Stimulation Systems, IEEE Trans on Instrumentation and Measurement, (2019). doi:10.1109/TIM.2019.2945744

JS. Becktepe, F. Govert, L. Kasiske, M. Yalaz, K. Witt, G. Deuschl, Pupillary response to light and tasks in early and late onset essential tremor patients. Parkinsonism Relat Disord. Sep;66:62-7 (2019). DOI:10.1016/j.parkreldis.2019.07.004

A. Macerollo, G. Deuschl, Deep brain stimulation for tardive syndromes: Systematic review and meta-analysis. Journal of the Neurological Sciences (2018). DOI:10.1016/j.jns.2018.02.013

M. Muthuraman et al., Cerebello-cortical network fingerprints differ between essential, Parkinson’s and mimicked tremors. Brain (2018). DOI: 10.1093/brain/awy098.

N. G. Margraf et al., Trunk muscle activation pattern in parkinsonian camptocormia as revealed with surface electromyography. Parkinsonism & Related Disorders (2017). DOI:10.1016/j.parkreldis.2017.08.028

A.R. Anwar, M. Muthalib, S. Perrey, A. Galka, O. Granert, S. Wolff, U. Heute, G. Deuschl, J. Raethjen, Muthuraman M, Effective Connectivity of Cortical Sensorimotor Networks During Finger Movement Tasks. A Simultaneous fNIRS, fMRI, EEG Study, Brain Topogr. (2016).  http://dx.doi.org/10.1007/s10548-016-0507-1

M. Muthuraman, S. Groppa, G. Deuschl, Cerebello-cortical Networks in Orthostatic Tremor, Brain. 139(Pt 8):2104-6 (2016). http://dx.doi.org/10.1093/brain/aww164

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Recent Publications

N. Lukat, R.-M. Friedrich, B. Spetzler, C. Kirchhof, C. Arndt, L. Thormälen, F. Faupel, C. Selhuber-Unkel, Mapping of magnetic nanoparticles and cells using thin film magnetoelectric sensors based on the delta-E effect Sens. Actuators A, 309. 112023, (2020), https://doi.org/10.1016/j.sna.2020.112023

A. Kittmann, C. Müller, P. Durdaut, L. Thormählen, V. Schell, F. Niekiel, F. Lofink, D. Meyners, R. Knöchel, M. Höft, J. McCord, E. Quandt, Sensitivity and Noise Analysis of SAW Magnetic Field Sensors with varied Magnetostrictive Layer Thicknesses., Sens. Actuators A, 311, 111998 (2020). doi: https://doi.org/10.1016/j.sna.2020.111998

A. Galka, S. Monntaha, M. Siniatchkin, Constrained Expectation Maximisation Algorithm for Estimating ARMA models in State Space Representation, EURASIP Journal on Advances in Signal Processing, Springer Nature, accepted (March 2020).

 

Contact

sfb1261@tf.uni-kiel.de

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Prof. Dr. Eckhard Quandt

Kiel University
Institute for Materials Science

 

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