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Med."],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Dopamine transporter (DaT) SPECT can confirm dopaminergic deficiency in Parkinson\u2019s disease (PD) but remains costly and inaccessible. We investigated whether brief smartphone-based motor assessments could predict DaT scan results as a scalable alternative. Data from Oxford and Genoa cohorts included individuals with iRBD, PD, and controls. Machine learning models trained on smartphone-derived features classified DaT scan status and predicted striatal binding ratios, compared with MDS-UPDRS-III benchmarks. Among 100 DaT scans, the smartphone-only XGBoost model achieved AUC\u2009=\u20090.80, improving to 0.82 when combined with MDS-UPDRS-III (AUC\u2019s gender-corrected). A simpler logistic regression model performed better with MDS-UPDRS-III alone (AUC\u2009=\u20090.83) versus smartphone features, with slightly higher performance when combined (AUC\u2009=\u20090.85). Regression models predicted binding ratios with modest error (RMSE\u2009=\u20090.49, R\u00b2\u2009=\u20090.56). Gait, tremor, and dexterity features were most predictive. These findings support smartphone-based assessments complementing clinical evaluations, though larger independent validation remains essential.<\/jats:p>","DOI":"10.1038\/s41746-025-02148-2","type":"journal-article","created":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T11:58:09Z","timestamp":1764590289000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Smartphone-based prediction of dopaminergic deficit in prodromal and manifest Parkinson\u2019s disease"],"prefix":"10.1038","volume":"8","author":[{"given":"Katarina M.","family":"Gunter","sequence":"first","affiliation":[]},{"given":"Karolien","family":"Groenewald","sequence":"additional","affiliation":[]},{"given":"Timothee","family":"Aubourg","sequence":"additional","affiliation":[]},{"given":"Christine","family":"Lo","sequence":"additional","affiliation":[]},{"given":"Jessica","family":"Welch","sequence":"additional","affiliation":[]},{"given":"Jamil","family":"Razzaque","sequence":"additional","affiliation":[]},{"given":"Ludo","family":"van Hillegondsberg","sequence":"additional","affiliation":[]},{"given":"Adriana","family":"Nastasa","sequence":"additional","affiliation":[]},{"given":"Pietro-Luca","family":"Ratti","sequence":"additional","affiliation":[]},{"given":"Beatrice","family":"Orso","sequence":"additional","affiliation":[]},{"given":"Pietro","family":"Mattioli","sequence":"additional","affiliation":[]},{"given":"Matteo","family":"Pardini","sequence":"additional","affiliation":[]},{"given":"Stefano","family":"Raffa","sequence":"additional","affiliation":[]},{"given":"Federico","family":"Massa","sequence":"additional","affiliation":[]},{"given":"Daniel R.","family":"McGowan","sequence":"additional","affiliation":[]},{"given":"Kevin M.","family":"Bradley","sequence":"additional","affiliation":[]},{"given":"Dario","family":"Arnaldi","sequence":"additional","affiliation":[]},{"given":"Johannes C.","family":"Klein","sequence":"additional","affiliation":[]},{"given":"Siddharth","family":"Arora","sequence":"additional","affiliation":[]},{"given":"Michele T.","family":"Hu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,12,1]]},"reference":[{"key":"2148_CR1","doi-asserted-by":"publisher","first-page":"1460","DOI":"10.1002\/acn3.644","volume":"5","author":"K Marek","year":"2018","unstructured":"Marek, K. et al. 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Christine Lo has received royalties from NeuHealth Digital Ltd. Michele Hu currently receives payment for Advisory Board attendance\/consultancy from Helicon, NeuHealth Digital, Roche and Manus Neurodynamica. All other authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"783"}}