Carolina Kanig

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About

Carolina Kanig is a researcher advancing the precision and reliability of Transcranial Magnetic Stimulation (TMS) methodology. Her work centers on optimizing TMS protocols, particularly for motor cortex applications, addressing critical issues of variability and replicability in neuromodulation. Kanig's most influential contribution is the development of the Semi-Automated Motor Hotspot Search (SAMHS) framework, a systematic approach to motor hotspot identification that reduces operator dependency and enhances reproducibility in TMS studies. This work, published in 2023, has already garnered 10 citations, reflecting its immediate impact on standardizing TMS practices. Her 2025 investigation into how current direction influences 1 Hz repetitive TMS (rTMS) aftereffects further demonstrates her commitment to understanding the nuanced parameters that shape neuromodulatory outcomes. By systematically examining factors like current orientation, Kanig is helping to unravel the sources of variability that have long challenged the field. Her research is essential reading for anyone working with TMS, offering practical solutions and foundational insights that move the field toward more robust, reproducible brain stimulation protocols.