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Search Results - fernando+vale
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A Software Model for Mapping Negative Epilepsy Network in Brain
Advantages Non-invasive integration of scalp EEG and resting-state fMRI enables patient-specific 3D brain network mapping. Identification of both positively and negatively correlated brain regions improves localization of epileptogenic zones. Automated software processing streamlines data analysis, reducing reliance on invasive monitoring techniques. Summary Epilepsy...
Published: 1/9/2026
|
Updated: 9/21/2022
|
Inventor(s):
Elliot Neal
,
Fernando Vale
Keywords(s):
Neuroscience
,
Surgery
,
Surgical Tools
Category(s):
Technology Classifications > Computer Science > Algorithms
,
Technology Classifications > Medical > Medical Diagnostics
,
Technology Classifications > Medical > Medical Imaging
,
Technology Classifications > Medical > Neuroscience
,
Technology Classifications > Medical > Surgery
Noninvasive System and Method for Mapping Epileptic Networks and Surgical Planning
Competitive Advantages Automatically map patient’s unique brain network from non-concurrent data Calculate surgery success chance Plans surgery and describes to surgeon on 3D map of patient’s brain Summary USF inventors created a method that automatically processes and merges non-concurrent EEG data and rsfMRI data to create a 3D...
Published: 8/25/2023
|
Updated: 6/15/2022
|
Inventor(s):
Fernando Vale
,
Elliot Neal
Keywords(s):
Category(s):
Technology Classifications > Software
,
Technology Classifications > Medical
,
Technology Classifications > Medical > Neuroscience
Methods of Treating Epilepsy Using Neural Stem Cells Which Express Various Factors
Competitive Advantages A novel epileptic biomarker Potential allogeneic and autologous stem cell treatment Human cell derived epileptic models Increased epileptic understanding Summary USF researchers have developed a method of diagnosing, prognosing, and treating epilepsy or an epilepsy-related disorder via non-epileptic and epileptic neural...
Published: 11/25/2024
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Updated: 5/18/2022
|
Inventor(s):
Carmelina Gemma
,
Fernando Vale
,
Cesario Borlongan
Keywords(s):
Category(s):
Technology Classifications > Medical
,
Technology Classifications > Medical > Neuroscience