Kirsten Labudda

The paper uses volume-wise fMRI analysis to predict language lateralization with high accuracy by classifying each time point and aggregating results.

The paper deconstructs the laterality index in fMRI to improve language lateralisation classification in epilepsy patients, achieving high accuracy in predicting lateralisation and Wada test results.

This study decodes cognitive processes from single-person fMRI data using similarity metrics, achieving high accuracy in predicting cognitive domains and specific content.