Matilda Makkonen
Papers
2
Total Citations
6
H-Index
2
About
Matilda Makkonen is a rising leader in the field of non-invasive brain stimulation, with a focused expertise in transcranial magnetic stimulation (TMS) and its integration with neuroimaging. Her research centers on developing high-precision, closed-loop systems that enhance the efficacy and specificity of TMS for both research and clinical applications. Makkonen’s major contributions include pioneering a Bayesian optimization framework for multi-locus TMS, a method that intelligently targets stimulation to relevant neural pathways, thereby improving the accuracy of dual-site interventions. This work, published in 2025, has already garnered attention with 3 citations, signaling its immediate impact on the field. She is also the lead developer of NeuroSimo, an innovative open-source software platform that enables closed-loop, EEG- or EMG-guided TMS. By allowing researchers to rapidly prototype novel stimulation paradigms in a high-level programming language, NeuroSimo addresses a critical gap left by proprietary systems, democratizing access to advanced neuromodulation techniques. Through these achievements, Makkonen is establishing herself as a key architect of next-generation, adaptive brain stimulation technologies.
Research Focus
Key Achievements
Top Papers
- 1Targeting multi-locus TMS with Bayesian optimization3 citations · 2025
- 2