neuronavigation software matlab 2020a (MathWorks Inc)
Structured Review

Neuronavigation Software Matlab 2020a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/neuronavigation software matlab 2020a/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
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1) Product Images from "Transient effects in corticospinal and reticulospinal tract excitability induced by motor skill and isometric resistance training"
Article Title: Transient effects in corticospinal and reticulospinal tract excitability induced by motor skill and isometric resistance training
Journal: bioRxiv
doi: 10.1101/2025.05.21.655351
Figure Legend Snippet: ( a ) TMS was applied to the left motor cortex to elicit MEPs in the right tibialis anterior. ( b ) NeuroNavigation setup for hotspot targeting. A custom-built Neuronavigation software, using infrared camera-based motion capture markers, tracked the position and orientation of a double-cone coil to consistently target the tibialis anterior hotspot before and after each training session. ( c ) Average MEP responses at rest before and after training for a representative participant (MS004) illustrate increases in response amplitude following motor skill training. ( d ) Corresponding recruitment curve of ( c ). MEP amplitudes increased across multiple TMS intensities (100%, 150%, 180%, 200%) after training. ( e ) Percent change in MEP amplitude during pre-activation and rest conditions. The left panel shows percent changes in MEP amplitude during the pre-activation condition (15% dorsiflexion), and the right panel shows percent changes during rest. Both plots represent group-level responses across all participants following motor skill and isometric resistance training. ( f ) Training-induced changes across evaluation conditions. MEP amplitude increases following both training protocols during specific conditions. Asterisks above the bars denote post-hoc paired Bonferroni-corrected significance values for interactions between training types and evaluation conditions: *p < 0.05, **p < 0.01, *** p < 0.001, ‘n.s.’ p > 0.05. (Significant) ‘X’ markers below the plot in ( f ) indicate Bonferroni-corrected significant training effects within each condition of MEP percent change based on one-sample tests against µ = 0 (‘X’ p < 0.05, ‘XX’ p < 0.01, ‘n.s.’ p > 0.05).
Techniques Used: Software, Activation Assay