Page 24 - MEGIN Book Of Abstracts - 2023

provides a noninvasive tool to quantify alterations in ABSTRACT Amyotrophic lateral sclerosis (ALS) is a
brain dynamics in ALS (and, possibly, other neurode- neurodegenerative disease characterised by functional
generative diseases), thus opening new opportunities connectivity alterations in both motor and extra-
in disease management and a framework to test, in the motor brain regions. Within the framework of network
near future, the effects of disease-modifying interven- analysis, fingerprinting represents a reliable approach
tions at the whole-brain level. to assess subject-specific connectivity features within
a given population (healthy or diseased). Here, we
Neurology (2022), Vol. 99, No. 21 (36180240) (0 citations) applied the Clinical Connectome Fingerprint (CCF)
analysis to source-reconstructed magnetoencepha-
lography (MEG) signals in a cohort of seventy-eight
The progressive loss of brain network fingerprints subjects: thirty-nine ALS patients and thirty-nine
in Amyotrophic Lateral Sclerosis predicts clinical healthy controls. We set out to develop an identifiabil-
impairment (2022) ity matrix to assess the extent to which each patient
was recognisable based on his/her connectome, as
Romano, Antonella; Trosi Lopez, Emahnuel; Liparoti, compared to healthy controls. The analysis was per-
Marianna; Polverino, Arianna; Minino, Roberta; Trojsi, formed in the five canonical frequency bands. Then, we
Francesca; Bonavita, Simona; Mandolesi, Laura; built a multilinear regression model to test the ability of
Granata, Carmine; Amico, Enrico; Sorrentino, Giuseppe; the "clinical fingerprint" to predict the clinical evolution
Sorrentino, Pierpaolo of the disease, as assessed by the Amyotrophic Lateral
Sclerosis Functional Rating Scale-Revised (ALSFRS-r),
Department of Motor Sciences and Wellness - University the King's disease staging system, and the Milano-To-
of Naples "Parthenope", via Medina 40, 80133 Naples, Italy; rino Staging (MiToS) disease staging system. We found
Department of Social and Developmental Psychology, Uni- a drop in the identifiability of patients in the alpha
versity of Rome "Sapienza", Italy; Institute of Diagnosis and band compared to the healthy controls. Furthermore,
Treatment Hermitage Capodimonte, via Cupa delle Tozzole the "clinical fingerprint" was predictive of the ALSFRS-r
2, 80131 Naples, Italy; Department of Advanced Medical and (p = 0.0397; β = 32.8), the King's (p = 0.0001; β = -7.40),
Surgical Sciences, Division of Neurology, University of Campa- and the MiToS (p = 0.0025; β = -4.9) scores. Accordingly,
nia "Luigi Vanvitelli", Naples, Italy; Department of Humanistic it negatively correlated with the King's (Spearman's
Studies, University of Naples Federico II, via Porta di Massa 1, rho = -0.6041, p = 0.0003) and MiToS scales (Spearman's
80133, Naples, Italy; Institute of Applied Sciences and Intel- rho = -0.4953, p = 0.0040). Our results demonstrated
ligent Systems, CNR, via Campi Flegrei 34, 80078 Pozzuoli, NA, the ability of the CCF approach to predict the individual
Italy; Institute of Bioengineering, Center for Neuroprosthetics, motor impairment in patients affected by ALS. Given
EPFL, Geneva, Switzerland; Department of Radiology and the subject-specificity of our approach, we hope to
Medical Informatics, University of Geneva (UNIGE), Geneva, further exploit it to improve disease management.
Switzerland; Department of Motor Sciences and Wellness
- University of Naples "Parthenope", via Medina 40, 80133 Keywords: Brain network identifiability, Clinical connec-
Naples, Italy; Institute of Diagnosis and Treatment Hermitage tome fingerprint, Functional connectome, Magnetoen-
Capodimonte, via Cupa delle Tozzole 2, 80131 Naples, Italy; cephalography, Phase Linearity Measurement, Motor
Institute of Applied Sciences and Intelligent Systems, CNR, via neurons disease, Neurodegenerative diseases
Campi Flegrei 34, 80078 Pozzuoli, NA, Italy. Electronic address:
[email protected]; Institute of Applied NeuroImage. Clinical (2022), Vol. 35 (35764029) (2
Sciences and Intelligent Systems, CNR, via Campi Flegrei citations)
34, 80078 Pozzuoli, NA, Italy; Institut de Neurosciences des
Systèmes, Aix-Marseille Université, Marseille, France

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