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The Trail Making Test (TMT) is one of the most popular neuropsychological tests for executive functions assessment. Participants have to connect a sequence of items in order without lifting the pencil. In Part A (TMT-A) the items are identified with Arabic numerals. In Part B (TMT-B) they are identified with numbers and capital letters, and participants have to connect them in alternate order (1-A-2-B-\u2026). We implemented a computerized TMT (cTMT) that preserves its original structure and records high-resolution mouse trajectories. Seventy-four older adults (41 with mild cognitive impairment and 33 healthy controls) completed the cTMT and a standard diagnostic battery. We also developed NeuroTask, a Python library that extracts features from cursor time series, including reaction times, speed and acceleration metrics, trajectory deviations, and state-based measures. We compared demographic, digital, and non-digital models using nested cross-validation and non-parametric permutation tests. Demographic models provided only modest discrimination (AUC\u2009=\u20090.56). Digital mouse features improved performance (AUC\u2009=\u20090.67), and combining them with demographics reached an AUC of 0.70, which approached the performance of the neuropsychological battery used to define the diagnosis (AUC\u2009=\u20090.76). In complementary regression analyses with digital plus demographic features, we obtained significant predictions for four out of seven target scores: MMSE, Digit Symbol, TMT-A and TMT-B. These results indicate that fine-grained mouse-movement features from the cTMT provide useful information for classifying mild cognitive impairment and for predicting multiple neuropsychological scores.<\/jats:p>","DOI":"10.1038\/s41598-026-62955-9","type":"journal-article","created":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T15:43:59Z","timestamp":1784648639000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Machine learning based digital assessment of mild cognitive impairment using mouse trajectories during the trail making test"],"prefix":"10.1038","volume":"16","author":[{"given":"Gustavo E.","family":"Juantorena","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gianluca","family":"Capelo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Betsabe D.","family":"Leon Vallejos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Agustin","family":"Ib\u00e1\u00f1ez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Agustin","family":"Petroni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Waleska","family":"Berrios","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mar\u00eda Cecilia","family":"Fern\u00e1ndez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5725-6539","authenticated-orcid":false,"given":"Juan E.","family":"Kamienkowski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,21]]},"reference":[{"key":"62955_CR1","unstructured":"World Health Organization. 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