Analyzing Gait Pattern Associated With Neuropsychiatric Symptoms in Parkinson’s Disease by a Comprehensive Approach
Michela Russo, Carlo Ricciardi, Martina Mestizia, Federico Di Filippo, Noemi Pisani, Giuseppe de Biasi, Alfonso M Ponsiglione, Paolo Barone, Marianna Amboni, Maria Romano · 2026
Read Analyzing Gait Pattern Associated With Neuropsychiatric Symptoms in Parkinson’s Disease by a Comprehensive Approach by Michela Russo, Carlo Ricciardi, Martina Mestizia, Federico Di Filippo, Noemi Pisani, Giuseppe de Biasi, Alfonso M Ponsiglione, Paolo Barone, Marianna Amboni, Maria Romano (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13278742.txt.
Description
Michela Russo and colleagues read Parkinson disease mental symptoms from walking patterns in a 2026 study. Depression, anxiety, and psychosis are common in Parkinson disease and erode quality of life. Gait analysis is cheap and non-invasive, so a walking signature could flag patients carrying that burden.
One hundred four patients walked under camera-based motion capture in single and dual-task conditions. Patients with neuropsychiatric symptoms walked more slowly, with greater instability and poorer movement control. Machine learning classifiers separated the groups with promising accuracy, best on detailed movement and force features. The features driving the models matched the statistical findings. The authors propose gait testing as an early marker tool.
Catalog record
| CREATOR | Michela Russo, Carlo Ricciardi, Martina Mestizia, Federico Di Filippo, Noemi Pisani, Giuseppe de Biasi, Alfonso M Ponsiglione, Paolo Barone, Marianna Amboni, Maria Romano |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 50 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |