matlab-based software (r2020b Search Results


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matlab-based software (r2020b  (MathWorks Inc)
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matlab r2021b software  (MathWorks Inc)
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software package  (MathWorks Inc)
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matlab r2023b  (MathWorks Inc)
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matlab r2022b software  (MathWorks Inc)
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r2022b  (MathWorks Inc)
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lead-dbs  (MathWorks Inc)
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a) <t>DBS</t> Sweet Spot Mapping . Using <t>Lead-DBS</t> <t>software,</t> v3.0 40, patient-specific electrode reconstructions were first derived relative to their precise position within the subthalamic nucleus (STN) region and integrated with individual stimulation parameters to estimate electric field magnitudes (E-fields). Subsequently, disease-wise rank-correlations between E-field magnitudes of the vector and clinical improvements were performed. Applying this procedure across voxels resulted in a detailed grid of positively (sweet spot) and negatively (sour spot, not shown here) associated stimulation sites. b) DBS Fiber Filtering. Per disease cohort, each tract within a predefined normative connectome was weighted by its ability to discern good from poor responders. To do so, peak E-field magnitudes among samples drawn along the anatomic course of each tract were rank-correlated with clinical outcomes. Tracts predominantly modulated by high E-field magnitudes of good responders received high positive weights (sweet tracts) – or high negative ones in case of poor responders (sour tracts, not shown here).
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ledalab v3.4.9  (MathWorks Inc)
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MathWorks Inc ledalab v3.4.9
a) <t>DBS</t> Sweet Spot Mapping . Using <t>Lead-DBS</t> <t>software,</t> v3.0 40, patient-specific electrode reconstructions were first derived relative to their precise position within the subthalamic nucleus (STN) region and integrated with individual stimulation parameters to estimate electric field magnitudes (E-fields). Subsequently, disease-wise rank-correlations between E-field magnitudes of the vector and clinical improvements were performed. Applying this procedure across voxels resulted in a detailed grid of positively (sweet spot) and negatively (sour spot, not shown here) associated stimulation sites. b) DBS Fiber Filtering. Per disease cohort, each tract within a predefined normative connectome was weighted by its ability to discern good from poor responders. To do so, peak E-field magnitudes among samples drawn along the anatomic course of each tract were rank-correlated with clinical outcomes. Tracts predominantly modulated by high E-field magnitudes of good responders received high positive weights (sweet tracts) – or high negative ones in case of poor responders (sour tracts, not shown here).
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Image Search Results


a) DBS Sweet Spot Mapping . Using Lead-DBS software, v3.0 40, patient-specific electrode reconstructions were first derived relative to their precise position within the subthalamic nucleus (STN) region and integrated with individual stimulation parameters to estimate electric field magnitudes (E-fields). Subsequently, disease-wise rank-correlations between E-field magnitudes of the vector and clinical improvements were performed. Applying this procedure across voxels resulted in a detailed grid of positively (sweet spot) and negatively (sour spot, not shown here) associated stimulation sites. b) DBS Fiber Filtering. Per disease cohort, each tract within a predefined normative connectome was weighted by its ability to discern good from poor responders. To do so, peak E-field magnitudes among samples drawn along the anatomic course of each tract were rank-correlated with clinical outcomes. Tracts predominantly modulated by high E-field magnitudes of good responders received high positive weights (sweet tracts) – or high negative ones in case of poor responders (sour tracts, not shown here).

Journal: medRxiv

Article Title: Segregating the Frontal Cortex with Deep Brain Stimulation

doi: 10.1101/2023.03.07.23286766

Figure Lengend Snippet: a) DBS Sweet Spot Mapping . Using Lead-DBS software, v3.0 40, patient-specific electrode reconstructions were first derived relative to their precise position within the subthalamic nucleus (STN) region and integrated with individual stimulation parameters to estimate electric field magnitudes (E-fields). Subsequently, disease-wise rank-correlations between E-field magnitudes of the vector and clinical improvements were performed. Applying this procedure across voxels resulted in a detailed grid of positively (sweet spot) and negatively (sour spot, not shown here) associated stimulation sites. b) DBS Fiber Filtering. Per disease cohort, each tract within a predefined normative connectome was weighted by its ability to discern good from poor responders. To do so, peak E-field magnitudes among samples drawn along the anatomic course of each tract were rank-correlated with clinical outcomes. Tracts predominantly modulated by high E-field magnitudes of good responders received high positive weights (sweet tracts) – or high negative ones in case of poor responders (sour tracts, not shown here).

Article Snippet: Lead-DBS being a MATLAB based software, MATLAB R2022b, v9.13.0.2105380 (The MathWorks Inc., Natick, MA, USA) was used to implement this analysis pipeline.

Techniques: Software, Derivative Assay, Plasmid Preparation

Deep brain stimulation (DBS) electrode placement as derived using Lead-DBS software, v3.0 40 is shown in relation to a posterior view of the subthalamic nucleus (STN) in dystonia (DYT), Parkinson’s disease (PD), Tourette’s syndrome (TS) and obsessive-compulsive disorder (OCD) cohorts, respectively (left panel), as well in an upper axial view of all disorders in conjunction with each other (right panel). STN defined by the DBS Intrinsic Template (DISTAL) atlas , with an axial plane of the BigBrain template in 100 µm resolution displayed as a backdrop (z = -10 mm).

Journal: medRxiv

Article Title: Segregating the Frontal Cortex with Deep Brain Stimulation

doi: 10.1101/2023.03.07.23286766

Figure Lengend Snippet: Deep brain stimulation (DBS) electrode placement as derived using Lead-DBS software, v3.0 40 is shown in relation to a posterior view of the subthalamic nucleus (STN) in dystonia (DYT), Parkinson’s disease (PD), Tourette’s syndrome (TS) and obsessive-compulsive disorder (OCD) cohorts, respectively (left panel), as well in an upper axial view of all disorders in conjunction with each other (right panel). STN defined by the DBS Intrinsic Template (DISTAL) atlas , with an axial plane of the BigBrain template in 100 µm resolution displayed as a backdrop (z = -10 mm).

Article Snippet: Lead-DBS being a MATLAB based software, MATLAB R2022b, v9.13.0.2105380 (The MathWorks Inc., Natick, MA, USA) was used to implement this analysis pipeline.

Techniques: Derivative Assay, Software