Antonio Suppa

Associate Professor of Neurology

Sapienza University of Rome

Italy

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About

Antonio Suppa is an Associate Professor of Neurology at Sapienza University of Rome, Italy. His research primarily focuses on the pathophysiology and clinical assessment of Parkinson's Disease, with recent articles exploring topics such as bradykinesia classification, freezing of gait, and the effects of botulinum toxin. He also investigates the use of wearable technology and artificial intelligence in monitoring motor symptoms associated with Parkinson's Disease.

Articles (20)

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2025

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2022

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2022

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2022

Collaborators (15)

PAOLO ROSELLI

University of Rome Tor Vergata

ITALY

Antonio Suppa

Research Interests

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Articles (20)

Uncovering the Kinematic Signature of Freezing of Gait in Parkinson’s Disease Through Wearable Inertial Sensors

A New Geometric Algebra-Based Classification of Hand Bradykinesia in Parkinson’s Disease Measured Using a Sensory Glove

Central effects of botulinum toxin: time to expand therapeutic strategies

Neurophysiology of Atypical Parkinsonian Syndromes: A Study Group Position Paper

Minimal Clinically Important Difference of Average Daily Steps Measured Through a Consumer Smartwatch in People With Mild-to-Moderate Parkinson Disease: Cross-Sectional Study

Micrographia in Parkinson's Disease: Automatic Recognition through Artificial Intelligence

Rigidity in Parkinson's Disease: The Objective Effect of Levodopa

Reliability of Average Daily Steps Measured Through a Consumer Smartwatch in Parkinson Disease Phenotypes, Stages, and Severities: Cross-Sectional Study

Technological Advances for Gait and Balance in Normal Pressure Hydrocephalus: A Systematic Review

Modeling of Shoulder–Elbow Movement with Exponential Parameter Identification During Walking Gaits for Healthy Subjects and Patients with Parkinson’s Disease

A Viscoelastic Model to Evidence Reduced Upper-Limb-Swing Capabilities during Gait for Parkinson’s Disease-Affected Subjects

Artificial Intelligence-Based Voice Assessment of Patients with Parkinson’s Disease Off and On Treatment: Machine vs. Deep-Learning Comparison

Harmonic Distortion Aspects in Upper Limb Swings during Gait in Parkinson’s Disease

Salivary α‐Synuclein RT‐QuIC Correlates with Disease Severity in de novo Parkinson's Disease

Familial adult myoclonus epilepsy: Neurophysiological investigations

Pain-motor integration in chronic pain: A neurophysiological study

Parkinsonism Is Associated with Altered SMA-Basal Ganglia Structural and Functional Connectivity in Frontotemporal Degeneration

Machine Learning and Wearable Sensors for the Early Detection of Balance Disorders in Parkinson’s Disease

Long-Term Polygraphic Monitoring through MEMS and Charge Transfer for Low-Power Wearable Applications

Wearable Electrochemical Sensors in Parkinson’s Disease

Collaborators (15)

PAOLO ROSELLI

Giovanni Saggio

Akio Ikeda

ILARIA MILETI

Mark Hallett

Marina AJ Tijssen

Valerio Cesarini

Alfredo BERARDELLI

Eduardo Palermo

Alessandro Trebbastoni

Patrizia Pantano

Giovanni Costantini

Marco Paoloni

Giorgio Vivacqua

Cristiano Maria Verrelli

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