Photo of Teresa Nordin

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

2026

Vittoria Bucciarelli, Dorian Vogel, Karin Wårdell, Jerome Coste, Patric Blomstedt, Jean-Jacques Lemaire, Raphael Guzman, Simone Hemm-Ode, Teresa Nordin (2026) Towards robust probabilistic maps in Deep Brain Stimulation: exploring the impact of patient number, stimulation counts, and statistical approaches Frontiers in Computational Neuroscience, Vol. 19, Article 1699192 (Article in journal) Continue to DOI
Elisabeth Klint, Johan Richter, Teresa Nordin, Ida Blystad, Martin Hallbeck, Alexandra Golby, Carl-Fredrik Westin, Karin Wårdell (2026) Mapping brain tumor microstructure: A multimodal study of diffusion MRI, intraoperative fluorescence, and neuropathology in navigated biopsies NeuroImage: Clinical, Vol. 49, Article 103921 (Article in journal) Continue to DOI

2025

Vittoria Bucciarelli, Dorian Vogel, Teresa Nordin, Marc Stawiski, Jerome Coste, Jean-Jacques Lemaire, Karin Wårdell, Raphael Guzman, Simone Hemm (2025) Optimizing Sample Size and Statistical Methods for Probabilistic Sweet Spot Mapping in Deep Brain Stimulation 2025 47TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, EMBC (Conference paper) Continue to DOI
Dorian Vogel, Vittoria Bucciarelli, Marc Jermann, Teresa Nordin, Jerome Coste, Jean-Jacques Lemaire, Karin Wårdell, Simone Hemm (2025) Balancing Cohort Size and Variability in Iterative Deep Brain Template Creation 2025 47TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) (Conference paper) Continue to DOI
Elisabeth Klint, Anders Tisell, Ida Blystad, Martin Hallbeck, Teresa Nordin, Jan Hillman, Johan Richter, Karin Wårdell (2025) Quantitative MRI relaxometry in brain tumor needle biopsies: Multimodal comparison with tissue fluorescence, radiology, and neuropathology PLOS ONE, Vol. 20, Article e0326765 (Article in journal) Continue to DOI

Research

Organisation