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Teresa Nordin

Assistant Professor

My research focus on anatomical evaluation of the effect of deep brain stimulation (DBS). This is done using different computer aided simulations and calculations with a final aim to improve surgical targeting.

Anatomical evaluation of deep brain stimulation

Deep brain stimulation (DBS) is a method used for symptom relief in several movement disorders such as Parkinson’s disease.

By implanting DBS leads in the deep brain structures, electrical stimulation can be provided and reduce symptoms like tremor completely or to a level which makes daily tasks possible. To provide an efficient therapy, the target position of the DBS lead is of high importance. Depending on symptoms, different targets are chosen but there is still a large variation in the clinical effect. We use different methods to understand this variation, probabilistic improvement maps and reconstruction of nerve tracts (tractography).

Probabilistic improvement maps can be created using a larger group of patients with varying clinical effect. The electric field can be simulated around the implanted leads using the finite element method (FEM). By combining electrical field strength, anatomical position, and clinical improvement, probabilistic maps can be created to highlight areas which are connected to better clinical improvement and areas associated to worse clinical improvement or side effects.

Tractography is a method that uses diffusion weighted magnetic resonance imaging (dMRI) to reconstruct nerve tracts. By combining FEM simulation with reconstruction of nerve tracts it is possible to evaluate the stimulation effect on a specific tract. If evidence between clinical effect and stimulation of a specific tract is found, tractography can be used clinically for target planning prior to surgery.


Phone number: +46 10 1034327



Dorian Vogel, Teresa Nordin, Stefanie Feiler, Karin Wårdell, Jerome Coste, Jean-Jacques Lemaire, Simone Hemm-Ode (2024) Probabilistic stimulation mapping from intra-operative thalamic deep brain stimulation data in essential tremor Journal of Neural Engineering, Vol. 21, Article 036017 Continue to DOI


Teresa Nordin, Patric Blomstedt, Simone Hemm-Ode, Karin Wårdell (2023) How Sample Size Impacts Probabilistic Stimulation Maps in Deep Brain Stimulation Brain Sciences, Vol. 13, Article 756 Continue to DOI
Teresa Nordin (2023) Computational Models in Deep Brain Stimulation: Patient‐Specific Simulations, Tractography, and Group Analysis


Teresa Nordin, Dorian Vogel, Erik Österlund, Johannes Johansson, Patric Blomstedt, Anders Fytagoridis, Simone Hemm-Ode, Karin Wårdell (2022) Probabilistic maps for deep brain stimulation - Impact of methodological differences Brain Stimulation, Vol. 15, p. 1139-1152 Continue to DOI
Karin Wårdell, Teresa Nordin, Dorian Vogel, Peter Zsigmond, Carl-Fredrik Westin, Marwan Hariz, Simone Hemm-Ode (2022) Deep Brain Stimulation: Emerging Tools for Simulation, Data Analysis, and Visualization Frontiers in Neuroscience, Vol. 16, Article 834026 Continue to DOI