Outputs (2)

A systematic review of the prediction of consumer preference using EEG measures and machine-learning in neuromarketing research. (2022)
Journal Article
Byrne, A., Bonfiglio, E., Rigby, C., & Edelstyn, N. (2022). A systematic review of the prediction of consumer preference using EEG measures and machine-learning in neuromarketing research. Brain Informatics, 27 - ?. https://doi.org/10.1186/s40708-022-00175-3

INTRODUCTION: The present paper discusses the findings of a systematic review of EEG measures in neuromarketing, identifying which EEG measures are the most robust predictor of customer preference in neuromarketing. The review investigated which TF e... Read More about A systematic review of the prediction of consumer preference using EEG measures and machine-learning in neuromarketing research..

Anxiety predicts impulsive-compulsive behaviours in Parkinson’s Disease: clinical relevance and theoretical implications (2022)
Journal Article
Di Rosa, E., Mapelli, D., Ronconi, L., Macchia, E., Gentili, C., Bisiacchi, P., & Edelstyn, N. (2022). Anxiety predicts impulsive-compulsive behaviours in Parkinson’s Disease: clinical relevance and theoretical implications. Journal of Psychiatric Research, 220-229. https://doi.org/10.1016/j.jpsychires.2022.01.052

Patients with Parkinson’s Disease (PD) often present symptoms of anxiety, depression and apathy. These negative affect manifestations have been recently associated with the presence of Impulsive-Compulsive Behaviours (ICBs). However, their relation w... Read More about Anxiety predicts impulsive-compulsive behaviours in Parkinson’s Disease: clinical relevance and theoretical implications.