Martin Schecklmann

University of Regensburg

Papers

2

Total Citations

13

H-Index

2

About

Martin Schecklmann is a leading figure in transcranial magnetic stimulation (TMS) research, with a focus on refining neuromodulation techniques to enhance reproducibility and clinical utility. His key contributions center on methodological optimization, particularly in motor cortex mapping and stimulation parameter control. Notably, his 2023 work on the "Semi-automated motor hotspot search (SAMHS)" framework (10 citations) addresses a critical bottleneck in TMS practice—motor hotspot identification—by introducing a standardized, experimenter-independent approach that reduces variability and improves reliability for threshold determination. This innovation directly impacts the precision of subsequent stimulation protocols. More recently, Schecklmann has investigated the influence of current direction on 1 Hz repetitive TMS (rTMS) aftereffects (2025, 3 citations), tackling the persistent challenge of high inter- and intra-individual variability in neuromodulatory outcomes. By systematically examining how stimulation orientation shapes cortical responses, his work provides actionable insights for designing more consistent rTMS paradigms. These contributions underscore his commitment to bridging methodological gaps in non-invasive brain stimulation, offering practical solutions that advance both basic research and clinical applications in neurology and psychiatry.

Research Focus

Key Achievements

2
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Semi-automated motor hotspot search (SAMHS): a framework toward an optimised approach for motor hotspot identification
10 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Regensburg

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 22 days ago