Fading of brain network fingerprint in Parkinson's disease predicts motor clinical impairment [article]

Emahnuel Troisi Lopez, Roberta Minino, Marianna Liparoti, Arianna Polverino, Antonella Romano, Rosa De Micco, Fabio Lucidi, Alessandro Tessitore, Enrico Amico, Giuseppe Sorrentino, Viktor Jirsa, Pierpaolo Sorrentino
2022 medRxiv   pre-print
The clinical connectome fingerprint (CCF) was recently introduced as a way to assess brain dynamics and used to predict the cognitive decline in preclinical Alzheimer's disease. In this paper we explore the performance of CCF in 47 Parkinson's disease (PD) patients and 47 healthy controls, under the hypothesis that patients would show reduced identifiability as compared to controls, and that such reduction could be used to predict motor impairment. Using source-reconstructed
more » ... hy signals, we built functional connectomes and observed reduced identifiability in patients compared to healthy individuals in the beta band. Furthermore, we found that the reduction in identifiability was proportional to the motor impairment, assessed through the Unified Parkinson's Disease Rating Scale, and, interestingly, able to predict it (at the subject level). Along with previous evidence, this paper shows that CCF captures disrupted dynamics in neurodegenerative diseases and is particularly effective in predicting motor clinical impairment in PD.
doi:10.1101/2022.02.03.22270343 fatcat:cim2d23udjas5jl4gsjfz5ay24