NeuroMeasure

NeuroMeasure quantifies cortical motor maps from Transcranial Magnetic Stimulation (TMS) motor evoked potential (MEP) data to characterize cortical reorganization associated with skill learning and motor recovery after corticospinal system lesions.

Key Features:

• De-dimensionalization of Mapping Data: Implements de-dimensionalization to simplify TMS-MEP mapping data for downstream analysis.
• Predictive Model Fitting: Fits predictive models to motor cortex mapping data using advanced algorithms to improve map estimation.
• Measurement Reporting: Produces detailed quantitative measurements that characterize motor map features derived from MEP data.
• Comparative Analysis: Enables comparison of measurements across datasets, subjects, or experimental conditions.

Scientific Applications:

• Brain Plasticity Research: Supports studies of cortical reorganization in healthy individuals undergoing skill acquisition.
• Neurorehabilitation: Enables quantification of motor map changes related to motor recovery following corticospinal system lesions.
• Clinical Neurophysiology: Facilitates comparative analyses of motor cortex organization in neurological disorders using TMS-MEP data.

Methodology:

Computational methods explicitly include de-dimensionalization of TMS-MEP mapping data, predictive model fitting, quantitative measurement reporting, and comparative analysis, with compatibility for data from Nexstim® and BrainSight® neuronavigation platforms.