NeuroMeasure

NeuroMeasure is a software platform to address the need for advanced methods in the mapping and quantification of motor-evoked potential (MEP) data, particularly as it relates to the human motor cortex through the use of MRI-guided Transcranial Magnetic Stimulation (TMS) techniques. Despite the significant advancements in non-invasive mapping technologies, there has been a noticeable gap in the refinement of methods for generating and quantifying maps from MEP data. This gap exists amidst ongoing interest in exploring cortical reorganization in various contexts, such as skill learning and motor recovery following lesions in the corticospinal system.

Recognizing the variability in TMS-MEP map calculation and quantification methods and the absence of a readily available software solution—commercial or free—the creators of NeuroMeasure sought to fill this void. NeuroMeasure is a comprehensive software package designed to advance existing methodologies and provide valuable tools to scientists and clinician-researchers focused on studying brain plasticity in health and disease.

Topic

Medical imaging;MRI;Neurobiology

Detail

  • Operation: Quantification

  • Software interface: Desktop application

  • Language: MATLAB

  • License: The Unlicense

  • Cost: Free

  • Version name: -

  • Credit: The City College of New York's Biomedical Engineering Senior Design Program and Burke Neurological Institute.

  • Input: -

  • Output: -

  • Contact: Michael B. Gerber gerberm000@gmail.com, Dylan J. Edwards edwarddy@einstein.edu

  • Collection: -

  • Maturity: Stable

Publications

  • NeuroMeasure: A Software Package for Quantification of Cortical Motor Maps Using Frameless Stereotaxic Transcranial Magnetic Stimulation.
  • Gerber MB, et al. NeuroMeasure: A Software Package for Quantification of Cortical Motor Maps Using Frameless Stereotaxic Transcranial Magnetic Stimulation. NeuroMeasure: A Software Package for Quantification of Cortical Motor Maps Using Frameless Stereotaxic Transcranial Magnetic Stimulation. 2019; 13:23. doi: 10.3389/fninf.2019.00023
  • https://doi.org/10.3389/fninf.2019.00023
  • PMID: 31105546
  • PMC: PMC6499165

Download and documentation


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