Author

Massimo Bertoli

University of Chieti-PescaraORCID 0000-0002-6742-8891Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Annapoorna KuppuswamyiD· 2 shared William De DonckeriD· 2 shared Chi-Hsu Wu· 1 shared Franca TecchioiD· 1 shared Pierpaolo CroceiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersNeuroscience

Annapoorna KuppuswamyORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintJul 13, 2026

Post-stroke fatigue as a disorder of uncoupled agency: an exploration of predictive and postdictive mechanisms.

Massimo Bertoli, William De Doncker, Annapoorna Kuppuswamy

This study investigates post-stroke fatigue using predictive and postdictive agency measures, finding amplified postdictive integration and reduced cortical predictive signals in high-fatigue patients.

DOI 10.64898/2026.07.08.737231

humanelectronic health records

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NeurosciencebioRxivPreprintMar 16, 2022

Electroencephalography-derived functional connectivity in sensorimotor networks in Stroke and Multiple Sclerosis Fatigue

Chi-Hsu Wu, William De Doncker, Pierpaolo Croce…·Annapoorna Kuppuswamy

The paper examines functional connectivity in sensorimotor networks using EEG in stroke and MS patients with fatigue, finding increased small-worldness in sensory networks and decreased in motor networks in specific frequency bands.

1 citation

humanelectronic health records

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