Matilda Makkonen

Aalto University

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

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Targeting multi-locus TMS with Bayesian optimization
3 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Aalto University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago