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Updated: Apr 27, 2026

Repetitive Transcranial Magnetic Stimulation to the Unilateral Hemisphere of Rat Brain
Published on: October 22, 2016
Structural brain changes following left temporal low-frequency rTMS in patients with subjective tinnitus
Astrid Lehner1, Berthold Langguth1, Timm B Poeppl1
1Department of Psychiatry and Psychotherapy, University of Regensburg, Universitaetsstraße 84, 93053 Regensburg, Germany ; Interdisciplinary Tinnitus Center, University of Regensburg, Universitaetsstraße 84, 93053 Regensburg, Germany.
Repetitive transcranial magnetic stimulation (rTMS) may cause temporary grey matter decreases in the brain for tinnitus patients. However, baseline grey matter in certain brain regions may predict treatment success for tinnitus.
Area of Science:
- Neuroscience
- Radiology
- Otolaryngology
Background:
- Repetitive transcranial magnetic stimulation (rTMS) is a treatment for subjective tinnitus.
- rTMS is known to induce brain morphological changes in healthy individuals.
- The effects of rTMS on grey matter (GM) in tinnitus patients remain uninvestigated.
Purpose of the Study:
- To investigate if rTMS treatment induces GM changes in tinnitus patients.
- To determine if these GM changes correlate with tinnitus treatment success.
- To assess if baseline GM predicts treatment outcomes in tinnitus patients.
Main Methods:
- Structural MRI scans were acquired from 77 tinnitus patients before and after 10 days of rTMS.
- Voxel-based morphometry was used to analyze GM changes.
- Tinnitus severity was assessed, and follow-up scans were performed on a subgroup.
Main Results:
- Transient GM decreases were observed in the insula and inferior frontal cortex.
- These GM changes did not correlate with tinnitus treatment outcomes.
- Baseline GM in the frontal cortex and lingual gyrus correlated with changes in tinnitus severity.
Conclusions:
- rTMS treatment transiently decreases GM in specific brain regions in tinnitus patients.
- Baseline GM may serve as a predictor for tinnitus treatment outcomes.
- Further research is needed to explore the predictive potential of baseline GM.
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