Introduction: In chronic stroke, functional MRI (fMRI) is used to map residual motor networks. Standard preprocessing masks the stroke lesion, excluding both the infarct cavity and adjacent T2 ...
Obtaining clearer functional MRI data about the brain and its disorders is possible using artificial intelligence, according to Boston College researchers who report in Nature Methods that they have ...
Summary: fMRI signals don’t always match the brain’s true activity levels, overturning a core assumption used in tens of thousands of studies. In about 40% of cases, an increased fMRI signal appeared ...
Introduction: Accurate preprocessing of functional magnetic resonance imaging (fMRI) data is crucial for effective analysis in preclinical studies. Key steps such as denoising, skull-stripping, and ...
This manuscript provides important information on the neurodynamics of emotional processing while participants were watching movie clips. This work provides convincing results in deciphering the ...
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Codethink announced that it has successfully achieved a positive and complete Functional Safety Assessment for the Eclipse Trustable Software Framework (TSF). Performed by exida, a globally recognised ...
Goldman Sachs advising on potential sale or IPO in next 12 months Deal would result in substantial profits for MRI's private equity backers Company maintains 10% annual growth rate, over half of ...
This study uses a valuable combination of functional magnetic resonance imaging and electroencephalography (EEG) to study brain activity related to prediction errors in relation to both sensorimotor ...
The Daytona Tortugas advanced to the Florida State League championship series after defeating the St. Lucie Mets. Daytona won the final two games of the division series on the road after losing the ...
I have recently come across your excellent set of MATLAB scripts for fMRI data preprocessing, which utilize DPARSF and SPM. I am incredibly impressed by the modular and well-structured workflow you've ...
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