1. D’Amore, F. M., Moscatelli, M., Malvaso, A., D’Antonio, F., Rodini, M., Panigutti, M., … & Caligiore, D. (2024). Explainable machine learning on clinical features to predict and differentiate Alzheimer’s progression by sex: Toward a clinician-tailored web interface. Journal of the Neurological Sciences, 123361. 

2. Carli, S., Brugnano, L., & Caligiore, D. (2024). Simulating combined monoaminergic depletions in a PD animal model through a bio-constrained differential equations system. Frontiers in Computational Neuroscience, 18, 1386841. 

3. Angelini, G., Malvaso, A., Schirripa, A., Campione, F., D’Addario, S. L., Toschi, N., & Caligiore, D. (2024). Unraveling sex differences in Parkinson’s disease through explainable machine learning. Journal of the Neurological Sciences, 123091. 

4. Mattioli, F., Maglianella, V., D’Antonio, S., Trimarco, E., & Caligiore, D. (2024). Non-invasive brain stimulation for patients and healthy subjects: Current challenges and future perspectives. Journal of the Neurological Sciences, 456, 122825. 

5. Campione, F., Catena, E., Schirripa, A., & Caligiore, D. (2024). Creatività umana e intelligenza artificiale generativa: similarità, differenze e prospettive. Sistemi intelligenti, 36(1), 131-156.

6. Mirino, P., Quaglieri, A., Scozia, G., Mercuri, S., Alessi, A., Guariglia, C., … & Pecchinenda, A. (2024). Role of the dorsolateral prefrontal cortex in processing temporal anomalies retained in working memory. Frontiers in Behavioral Neuroscience, 18, 1494227.

7. Biggio, M., Caligiore, D., D’Antoni, F., Bove, M., & Merone, M. (2022). Machine learning for exploring neurophysiological functionality in multiple sclerosis based on trigeminal and hand blink reflexes. Scientific Reports, 12(1), 21078.