TRR 295


Insights and latest results of our research are regularly published in peer-reviewed journals. The majority of our articles are published open access to ensure the availability to a broad audience including affected people and the general lay public.

Pallidal Recordings in Chronically Implanted Dystonic Patients: Mitigation of Tremor-Related Artifacts

Del Vecchio Del Vecchio J, Hanafi I, Pozzi NG, Capetian P, Isaias IU, Haufe S, Palmisano C.

Head tremor, a low-frequency involuntary rhythmic movement typical of cervical dystonia, may cause movement artifacts in LFP signals, compromising the reliability of low-frequency oscillations as biomarkers for adaptive neurostimulation.
Published: Apr 2023

The return of the lesion for localization and therapy.

Joutsa J, Lipsman N, Horn A, Cosgrove GR, Fox MD.
Recent advances have improved our ability to localize lesion-induced symptoms, including localization to brain circuits rather than individual brain regions.
Published: Apr 2023

Peripheral nerve injury elicits microstructural and neurochemical changes in the striatum and substantia nigra of a DYT-TOR1A mouse model with dystonia-like movements.

Rauschenberger L, Krenig EM, Stengl A, Knorr S, Harder TH, Steeg F, Friedrich MU, Grundmann-Hauser K, Volkmann J, Ip CW.

To analyze whether recovery from a peripheral nerve injury can trigger a dystonic phenotype in asymptomatic hΔGAG3 mice, which overexpress human mutated torsinA, a sciatic nerve crush was applied.
Published: Apr 2023

Distinct phenotypes of stimulation-induced dysarthria represent different cortical networks in STN-DBS

Lange F, Eldebakey H, Hilgenberg A, Weigl B, Eckert M, DeSunda A, Neugebauer H, Peach R, Roothans J, Volkmann J, Reich MM.
In this study, we [...] test the real-life application of the proposed clustering [of phenotypes of dysarthria, that] has been proposed to tackle stimulation-induced speech problems.
Published: Apr 2023

Deep learning-enabled segmentation of ambiguous bioimages with deepflash2.

Griebel M, Segebarth D, Stein N, Schukraft N, Tovote P, Blum R, Flath CM.

Here we introduce deepflash2, a deep learning-enabled segmentation tool for bioimage analysis. The tool addresses typical challenges that may arise during the training, evaluation, and application of deep learning models on ambiguous data.
Published: Mar 2023

Machine Learning in Tremor Analysis: Critique and Directions.

De A, Bhatia KP, Volkmann J, Peach R, Schreglmann SR.
This work summarizes and highlights recent developments in machine-learning (ML) tools for tremor research, with a focus on supervised ML.
Published: Mar 2023