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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.

Contact

Phone number: +46 10 1034327

Publications

2023

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

2022

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
Rasmus Stenmark Persson, Teresa Nordin, Gun-Marie Hariz, Karin Wårdell, Lars Forsgren, Marwan Hariz, Patric Blomstedt (2022) Deep Brain Stimulation of Caudal Zona Incerta for Parkinsons Disease: One-Year Follow-Up and Electric Field Simulations Neuromodulation, Vol. 25, p. 935-944 Continue to DOI

Research

Organisation