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
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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

Deep brain stimulation for tardive syndromes: Systematic review and meta-analysis
(A. Macerollo, G. Deuschl, Journal of the Neurological Sciences, 2018, Project B5)

Cerebello-cortical network fingerprints differ between essential, Parkinson’s and mimicked tremors
(M. Muthuraman et al., Brain, 2018, Project B5)

Trunk muscle activation pattern in parkinsonian camptocormia as revealed with surface electromyography
(N. G. Margraf et al., Parkinsonism & Related Disorders, 2017)

A.R. Anwar, M. Muthalib, S. Perrey, A. Galka, O. Granert, S. Wolff, U. Heute, G. Deuschl, J. Raethjen, and Muthuraman M: Effective Connectivity of Cortical Sensorimotor Networks During Finger Movement Tasks: A Simultaneous fNIRS, fMRI, EEG Study, Brain Topogr. 2016 Jul 20.  http://dx.doi.org/10.1007/s10548-016-0507-1

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

Financial Support

The Collaborative Research Center 1261 is funded by the German Research Foundation (DFG).

SFB1261 Microsite

Click here to visit our Microsite with information for students, teachers and the public (German and English version available).

Recent Publications

J. Reermann, P. Durdaut, S. Salzer, T. Demming, A. Piorra, E. Quandt, N. Frey, M. Höft, and G. Schmidt: Evaluation of Magnetoelectric Sensor Systems for Cardiological Applications, Measurement (Elsevier), ISSN 0263-2241, 2017, https://doi.org/10.1016/j.measurement.2017.09.047

S. B. Hrkac, C. T. Koops, M. Abes, C. Krywka, M. Müller, M. Burghammer, M. Sztucki, T. Dane, Kaps, Y. K. Mishra,R. Adelung, J. Schmalz, M. Gerken, E. Lage, C. Kirchhof, E. Quandt, O. M. Magnussen, and B. M. Murphy: Tunable Strain in Magnetoelectric ZnO Microrod Composite Interfaces; ACS Appl. Mater. Interfaces, 2017, 9 (30), pp 25571–25577; DOI: 10.1021/acsami.6b15598

 

Contact

sfb1261@tf.uni-kiel.de

Chairman:

Prof. Dr. Eckhard Quandt

Kiel University
Institute for Materials Science

 

Interner Server

 

CAU

Christian-Albrechts-Universität zu Kiel (CAU)

Christ.-Albrechts-Platz 4
D-24118 Kiel

UKSH

University Hospital Schleswig-Holstein, Campus Kiel (UKSH)

Arnold-Heller-Straße 3
D-24105 Kiel

ISIT

Fraunhofer Institute for Silicon Technology, Itzehoe (ISIT)

Fraunhoferstrasse 1
D-25524 Itzehoe  

IPN

IPN - Leibniz-Institut für die Pädagogik der Naturwissenschaften und Mathematik an der Universität Kiel

Olshausenstraße 62 
D-24118 Kiel

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