Matteo De Marco

According to our database, Matteo De Marco authored at least 5 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Characterising Alzheimer's Disease With EEG-Based Energy Landscape Analysis.

Dominik Klepl, Fei He, Min Wu, Matteo De Marco, Daniel J. Blackburn, Ptolemaios G. Sarrigiannis

IEEE J. Biomed. Health Informatics, 2022

2021

Using interictal seizure-free EEG data to recognise patients with epilepsy based on machine learning of brain functional connectivity.

Jun Cao, Kacper Grajcar, Xiaocai Shan, Yifan Zhao, Jiaru Zou, Liangyu Chen, Zhiqing Li, Richard Grunewald, Panagiotis Zis, Matteo De Marco, Zoe C. Unwin, Daniel Blackburn, Ptolemaios G. Sarrigiannis

Biomed. Signal Process. Control., 2021

Regional Strength of Large-Scale Functional Brain Networks is Associated with Regional Volumes in Older Adults and in Alzheimer's Disease.

Giuseppe Sarli, Matteo De Marco, Merja Hallikainen, Hilkka Soininen, Giuseppe Bruno, Annalena Venneri

Brain Connect., 2021

Functional Neural Architecture Supporting Highly Superior Autobiographical Memory.

Matteo De Marco, Giuliana Mazzoni, Riccardo Manca, Annalena Venneri

Brain Connect., 2021

2020

Imaging of Nonlinear and Dynamic Functional Brain Connectivity Based on EEG Recordings With the Application on the Diagnosis of Alzheimer's Disease.

Yifan Zhao, Yitian Zhao, Pholpat Durongbhan, Liangyu Chen, Jiang Liu, S. A. Billings, Panagiotis Zis, Zoe C. Unwin, Matteo De Marco, Annalena Venneri, Daniel Blackburn, Ptolemaios G. Sarrigiannis

IEEE Trans. Medical Imaging, 2020