Fabiana Novellino

MIND-Based Cortical Similarity Networks reveal distinct Cortical Alterations in Motor Subtypes of Parkinson’s Disease

Maria Giovanna Bianco, Camilla Calomino, Fabiana Novellino, Marianna Crasà et autres

Parkinson's disease (PD) is a biologically heterogeneous disorder, yet conventional motor classifications may not fully reflect underlying cortical organization. We combined Morphometric INverse Divergence (MIND) networks, data-driven clustering, and explainable machine learning to investigate cortical morphometric heterogeneity in 219 patients with PD …

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Neutrophil-to-lymphocyte ratio is associated with cognitive performance in isolated REM sleep behavior disorder

Elisa Bortolin, Salvatore Mazzeo, Emanuele Girani, Giulia Bruschi et autres

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Corpus Callosum Structural Alterations in Essential Tremor With and Without Resting Tremor: A Multimodal MRI Study (P4-17.003)

Valerio Riccardo Aquila, Maria Celeste Bonacci, Maria Eugenia Caligiuri, Rita Nisticò et autres

We aimed to investigate the structural integrity of the Corpus Callosum in ET and ET with resting tremor (ETrt) patients compared to healthy controls using a multimodal MRI approach. We combined traditional group comparisons with data-driven clustering methods, to identify potential similarities …

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Decoding Parkinson’s Disease through Network Metrics of Inertial Sensor Data: A Machine Learning approach (P11-16.011)

Camilla Calomino, Maria Giovanna Bianco, Salvatore Mazzeo, Fabiana Novellino et autres

•To develop a framework that integrates statistical and network features from multi-segment IMU recordings to classify Parkinson’s disease (PD) versus healthy controls (HC).

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Uncovering Cognitive Subtypes in Essential Tremor: A Data-driven Clustering Approach in Cognitively Normal Individuals (P2-17.004)

Camilla Calomino, Alessia Sarica, Rita Nisticò, Andrea Quattrone et autres

In this study, we aimed to explore different cognitive patterns among cognitively normal ET subjects and their relationship with the cognitive profiles of healthy subjects

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Thalamic Structural Connectivity Alterations in Essential Tremor Associated with REM Sleep Behaviour Disorder (P5-17.008)

Elisa Bortolin, Salvatore Mazzeo, Camilla Calomino, Rita Nisticò et autres

We aimed at investigating investigated thalamic regions in Essential Tremor (ET) patients with and without REM sleep behavior disorder (RBD), using a graph theoretical analysis.

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MR-Based Neuroimaging

Valeria Saccà, Fabiana Novellino

In recent years, the application of magnetic resonance imaging (MRI) to neuroscience has undergone significant development, thanks to the introduction of advanced acquisition techniques and quantitative analysis [...]

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Similarity Gait Networks with XAI for Parkinson’s Disease Classification: A Pilot Study

Maria Giovanna Bianco, Camilla Calomino, Marianna Crasà, Alessia Cristofaro et autres

Parkinson's disease (PD) is characterized by alterations in movement dynamics that are difficult to quantify with conventional clinical assessment. This study proposes an integrated approach combining graph-based kinematic analysis with explainable machine learning to identify digital biomarkers of Parkinsonian motor impairment. Kinematic …

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Interpretable Machine Learning for Parkinson’s Disease: Biomarker-Based Comparison of EBM and GAMI-Net

Chiara Camastra, Fabiana Novellino, Assunta Pelagi, Gioele Maria Pullano et autres

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Thalamic Structural Connectivity Alterations in Essential Tremor Associated with REM Sleep Behaviour Disorder

Elisa Bortolin, Camilla Calomino, Rita Nisticò, Giulia Bruschi et autres

Background: REM sleep behavior disorder (RBD) is a rare REM-parasomnia, now considered a non-motor symptom of Essential Tremor (ET). Distinct structural alterations in the thalamus, as a key region modulating REM sleep, have been reported in patients with idiopathic and Parkinson's disease-related …

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The ICeX framework: Brain age estimation from thalamic nuclei with conformalized and eXplainable random forest regression

Alessia Sarica, Chiara Camastra, Assunta Pelagi, Fulvia Arcuri et autres

BACKGROUND AND OBJECTIVE: Accurate estimation of brain age is essential to identify deviations from typical aging trajectories, which may signal early neurodegenerative, psychiatric, or cognitive dysfunctions. Traditional models often rely on global brain features, potentially overlooking subtle region-specific alterations. This study introduces …

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Early-Phase Fluid Diagnostic Biomarkers in Acute Ischemic Stroke: An Umbrella Review

Alessandro Bombaci, Federico Emanuele Pozzi, Salvatore Mazzeo, Elisa Bortolin et autres

Abstract Background and Purpose Acute ischemic stroke (AIS) is a time-critical emergency in which rapid diagnosis within established therapeutic windows (≤ 4.5 h for intravenous thrombolysis; ≤ 6 h for mechanical thrombectomy) is essential to optimize outcomes. Fluid biomarkers offer a promising …

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