Explaining facial action units' correlation with hypomimia and clinical scores in Parkinson’s disease
Abstract This study aimed to identify facial regions characterizing hypomimia through facial action units (AU). It included video recordings from 109 early-stage Parkinson’s disease (PD) and 45 healthy control (HC) subjects, performing rapid syllable repetitions. We identified the features contribut...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-03-01
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| Series: | npj Parkinson's Disease |
| Online Access: | https://doi.org/10.1038/s41531-025-00895-3 |
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| author | Anas Filali Razzouki Laetitia Jeancolas Sara Sambin Graziella Mangone Alizé Chalançon Manon Gomes Stéphane Lehéricy Marie Vidailhet Isabelle Arnulf Jean-Christophe Corvol Dijana Petrovska-Delacrétaz Mounim A. El-Yacoubi |
| author_facet | Anas Filali Razzouki Laetitia Jeancolas Sara Sambin Graziella Mangone Alizé Chalançon Manon Gomes Stéphane Lehéricy Marie Vidailhet Isabelle Arnulf Jean-Christophe Corvol Dijana Petrovska-Delacrétaz Mounim A. El-Yacoubi |
| author_sort | Anas Filali Razzouki |
| collection | DOAJ |
| description | Abstract This study aimed to identify facial regions characterizing hypomimia through facial action units (AU). It included video recordings from 109 early-stage Parkinson’s disease (PD) and 45 healthy control (HC) subjects, performing rapid syllable repetitions. We identified the features contributing most to hypomimia by interpreting an XGBoost model classifying PD vs. HC. We evaluated the impact of biological sex and time on features and classification, and the correlation between model’s predictions, AUs, and PD clinical scores over different times. The most discriminant AUs of hypomimia were found on the face lower part, independent of sex, and stable over time. Significant correlations were observed between AU17 (chin raiser) and rigidity of the upper left limb (r = − 0.4), as well as between AU9 (nose wrinkle) and neck rigidity (r = − 0.36). Correlations between XGBoost predictions and MDS-UPDRS3 and neck rigidity scores were also significant (r = 0.3). We obtained for PD detection an AUC of 79.8% and a balanced accuracy of 71.5%. |
| format | Article |
| id | doaj-art-9b9dcb4e6f084e2fba1ff749610b0970 |
| institution | Kabale University |
| issn | 2373-8057 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Parkinson's Disease |
| spelling | doaj-art-9b9dcb4e6f084e2fba1ff749610b09702025-08-20T03:41:46ZengNature Portfolionpj Parkinson's Disease2373-80572025-03-0111111110.1038/s41531-025-00895-3Explaining facial action units' correlation with hypomimia and clinical scores in Parkinson’s diseaseAnas Filali Razzouki0Laetitia Jeancolas1Sara Sambin2Graziella Mangone3Alizé Chalançon4Manon Gomes5Stéphane Lehéricy6Marie Vidailhet7Isabelle Arnulf8Jean-Christophe Corvol9Dijana Petrovska-Delacrétaz10Mounim A. El-Yacoubi11Laboratoire SAMOVAR, Télécom SudParis, Institut Polytechnique de ParisSorbonne Université, Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital Pitié-SalpêtrièreSorbonne Université, Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital Pitié-SalpêtrièreSorbonne Université, Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital Pitié-SalpêtrièreSorbonne Université, Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital Pitié-SalpêtrièreSorbonne Université, Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital Pitié-SalpêtrièreSorbonne Université, Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital Pitié-SalpêtrièreSorbonne Université, Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital Pitié-SalpêtrièreSorbonne Université, Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital Pitié-SalpêtrièreSorbonne Université, Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital Pitié-SalpêtrièreLaboratoire SAMOVAR, Télécom SudParis, Institut Polytechnique de ParisLaboratoire SAMOVAR, Télécom SudParis, Institut Polytechnique de ParisAbstract This study aimed to identify facial regions characterizing hypomimia through facial action units (AU). It included video recordings from 109 early-stage Parkinson’s disease (PD) and 45 healthy control (HC) subjects, performing rapid syllable repetitions. We identified the features contributing most to hypomimia by interpreting an XGBoost model classifying PD vs. HC. We evaluated the impact of biological sex and time on features and classification, and the correlation between model’s predictions, AUs, and PD clinical scores over different times. The most discriminant AUs of hypomimia were found on the face lower part, independent of sex, and stable over time. Significant correlations were observed between AU17 (chin raiser) and rigidity of the upper left limb (r = − 0.4), as well as between AU9 (nose wrinkle) and neck rigidity (r = − 0.36). Correlations between XGBoost predictions and MDS-UPDRS3 and neck rigidity scores were also significant (r = 0.3). We obtained for PD detection an AUC of 79.8% and a balanced accuracy of 71.5%.https://doi.org/10.1038/s41531-025-00895-3 |
| spellingShingle | Anas Filali Razzouki Laetitia Jeancolas Sara Sambin Graziella Mangone Alizé Chalançon Manon Gomes Stéphane Lehéricy Marie Vidailhet Isabelle Arnulf Jean-Christophe Corvol Dijana Petrovska-Delacrétaz Mounim A. El-Yacoubi Explaining facial action units' correlation with hypomimia and clinical scores in Parkinson’s disease npj Parkinson's Disease |
| title | Explaining facial action units' correlation with hypomimia and clinical scores in Parkinson’s disease |
| title_full | Explaining facial action units' correlation with hypomimia and clinical scores in Parkinson’s disease |
| title_fullStr | Explaining facial action units' correlation with hypomimia and clinical scores in Parkinson’s disease |
| title_full_unstemmed | Explaining facial action units' correlation with hypomimia and clinical scores in Parkinson’s disease |
| title_short | Explaining facial action units' correlation with hypomimia and clinical scores in Parkinson’s disease |
| title_sort | explaining facial action units correlation with hypomimia and clinical scores in parkinson s disease |
| url | https://doi.org/10.1038/s41531-025-00895-3 |
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