Page 225 - MEGIN Book Of Abstracts - 2023

Movement Disorders

Fading of brain network fingerprint in Parkinson's tion in identifiability was proportional to the motor
disease predicts motor clinical impairment (2023) impairment, assessed through the Unified Parkinson's
Disease Rating Scale, and, interestingly, able to pre-
Troisi Lopez, Emahnuel; Minino, Roberta; Liparoti, dict it (at the subject level), through a cross-validated
Marianna; Polverino, Arianna; Romano, Antonella; De regression model. Along with previous evidence, this
Micco, Rosa; Lucidi, Fabio; Tessitore, Alessandro; Amico, article shows that CCF captures disrupted dynamics in
Enrico; Sorrentino, Giuseppe; Jirsa, Viktor; Sorrentino, neurodegenerative diseases and is particularly effective
Pierpaolo in predicting motor clinical impairment in PD.

Department of Motor Sciences and Wellness, University of Keywords: Parkinson's disease, brain fingerprint, brain net-
Naples "Parthenope", Naples, Italy; Department of Develop- work, clinical connectome fingerprint, magnetoencepha-
mental and Social Psychology, University "La Sapienza" of lography, motor impairment, neurodegenerative disease
Rome, Rome, Italy; Institute for Diagnosis and Treatment Her-
mitage Capodimonte, Naples, Italy; Department of Advanced Human brain mapping (2023), Vol. 44, No. 3 (36413043) (1
Medical and Surgical Sciences, University of Campania "Luigi citation)
Vanvitelli", Naples, Italy; Department of Radiology and Medi-
cal Informatics, University of Geneva (UNIGE), Geneva, Swit-
zerland; Institute of Applied Sciences and Intelligent Systems, Neurophysiological Basis of Deep Brain Stimulation
National Research Council, Naples, Italy; Institut de Neurosci- and Botulinum Neurotoxin Injection for Treating
ences des Systèmes, Aix-Marseille Université, Marseille, France Oromandibular Dystonia (2022)

ABSTRACT The clinical connectome fingerprint (CCF) Maezawa, Hitoshi; Hirata, Masayuki; Yoshida, Kazuya
was recently introduced as a way to assess brain dy-
namics. It is an approach able to recognize individuals, Department of Neurological Diagnosis and Restoration,
based on the brain network. It showed its applicability Graduate School of Medicine, Osaka University, Yamadaoka
providing network features used to predict the cogni- 2-2, Suita 565-0871, Japan; Department of Oral and Maxillo-
tive decline in preclinical Alzheimer's disease. In this facial Surgery, National Hospital Organization, Kyoto Medical
article, we explore the performance of CCF in 47 Parkin- Center, 1-1 Mukaihata-cho, Fukakusa, Fushimi-ku, Kyoto
son's disease (PD) patients and 47 healthy controls, un- 612-8555, Japan
der the hypothesis that patients would show reduced
identifiability as compared to controls, and that such ABSTRACT Oromandibular dystonia (OMD) induces
reduction could be used to predict motor impairment. severe motor impairments, such as masticatory distur-
We used source-reconstructed magnetoencephalog- bances, dysphagia, and dysarthria, resulting in a serious
raphy signals to build two functional connectomes decline in quality of life. Non-invasive brain-imaging
for 47 patients with PD and 47 healthy controls. Then, techniques such as electroencephalography (EEG)
exploiting the two connectomes per individual, we and magnetoencephalography (MEG) are powerful
investigated the identifiability characteristics of each approaches that can elucidate human cortical activity
subject in each group. We observed reduced identifi- with high temporal resolution. Previous studies with
ability in patients compared to healthy individuals in EEG and MEG have revealed that movements in the
the beta band. Furthermore, we found that the reduc- stomatognathic system are regulated by the bilateral

 ontents  Index 204
C