The Virtual Parkinsonian patient

This study investigates the influence of the pharmacological nigrostriatal dopaminergic stimulation on the entire brain by analyzing EEG and deep electrodes, placed near the subthalamic nuclei, from 10 Parkinsonian patients before (OFF) and after (ON) L-Dopa administration. We characterize large-scale brain dynamics as the spatio-temporal spreading of aperiodic bursts. We then simulate the effects of L-Dopa utilizing a novel neural-mass model that includes the local dopamine concentration. Whole-brain dynamics are simulated for different dopaminergic tones, generating predictions for the expected dynamics, to be compared with empirical EEG and deep electrode data. To this end, we invert the model and infer the most likely dopaminergic tone from empirical data, correctly identifying a higher Dopaminergic tone in the ON-state, and a lower dopaminergic tone in the OFF-state, for each patient. In conclusion, we successfully infer the dopaminergic tone by integrating anatomical and functional knowledge into physiological predictions, using solid ground truth to validate our findings.

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Publication Details

Journal
npj Systems Biology and Applications
Published
2025-04-26
DOI
https://doi.org/10.1038/s41540-025-00516-y
Citations
9
Primary Topic
Neurological disorders and treatments
Type
article
Field-Weighted Citation Impact
12.50

Funders

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article

The Virtual Parkinsonian patient

Pierpaolo Sorrentino, Abolfazl Ziaeemehr, Damien Depannemaecker, Paul Triebkorn et al.
9 citations
npj Systems Biology and Applications
Neurological disorders and treatments
12.50
article

The Virtual Parkinsonian patient

Pierpaolo Sorrentino, Abolfazl Ziaeemehr, Damien Depannemaecker, Paul Triebkorn, Marianna Angiolelli, Jean Marie Régis, Viktor Jirsa, Marmaduke Woodman, Meysam Hashemi, Hasnae Agouram, Letizia Chiodo, Romain Carron, Alexandre Eusébio
article en
9 citations

Abstract

This study investigates the influence of the pharmacological nigrostriatal dopaminergic stimulation on the entire brain by analyzing EEG and deep electrodes, placed near the subthalamic nuclei, from 10 Parkinsonian patients before (OFF) and after (ON) L-Dopa administration. We characterize large-scale brain dynamics as the spatio-temporal spreading of aperiodic bursts. We then simulate the effects of L-Dopa utilizing a novel neural-mass model that includes the local dopamine concentration. Whole-brain dynamics are simulated for different dopaminergic tones, generating predictions for the expected dynamics, to be compared with empirical EEG and deep electrode data. To this end, we invert the model and infer the most likely dopaminergic tone from empirical data, correctly identifying a higher Dopaminergic tone in the ON-state, and a lower dopaminergic tone in the OFF-state, for each patient. In conclusion, we successfully infer the dopaminergic tone by integrating anatomical and functional knowledge into physiological predictions, using solid ground truth to validate our findings.

npj Systems Biology and ApplicationsVol. 11(1)
Centre National de la Recherche Scientifique (FR), Inserm (FR), Università Campus Bio-Medico (IT), Aix-Marseille Université (FR), Institut de Neurosciences des Systèmes (FR), Institut de Neurosciences de la Timone (FR), Hôpital de la Timone (FR)
Istituto Nazionale di Alta Matematica "Francesco Severi", European Commission, Gruppo Nazionale per la Fisica Matematica
Openalex Percentile: Top 1%
Neurological disorders and treatments
12.50
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