Author

Maryam Farahmandrad

Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Assay:electronic health records· 1 Assay:imaging· 1 Approach:simulation· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Angel V. PetercheviD· 1 shared Benham Seyedi· 1 shared J. Matías Di MartinoiD· 1 shared Jennifer BowmaniD· 1 shared John Kriske· 1 shared Jonathan H. DownariD· 1 shared Joseph KriskeiD· 1 shared Mahdi BayatiiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperNeuroscience

Angel V. PeterchevORCID

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2 papers

Recent·Most cited

Variability and Landmark Quality in Anatomical Co-Registration in Neuronavigation for Brain Stimulation

Zhino Ebrahimi, Maryam Farahmandrad, Benham Seyedi, Ziye Xie, J. Matías Di Martino, Angel V. Peterchev, Thomas Kammer, Stephan M. Goetz

This study quantifies variability in anatomical landmark localization during neuronavigation, showing operator- and landmark-specific differences and the impact of marking on inter-operator agreement.

bioRxiv · Nov 1, 2026 · PreprintNeuroscience

Spatial Recruitment Model for Motor Potentials Evoked By Transcranial Magnetic Stimulation (TMS) for In-Silico Testing and Tuning of Closed-Loop Procedures

Maryam Farahmandrad, Mahdi Bayati, Victoria J. Middleton, Jennifer Bowman, Nancy Donachie, Joseph Kriske, John Kriske, Jonathan H. Downar, Stefan Goetz

The paper develops a population model of motor evoked potentials from TMS to enable in-silico testing and tuning of closed-loop procedures without experimental data.

bioRxiv · Jun 30, 2026 · PreprintNeuroscience