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Updated: Mar 13, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Let's cut it short: Italian standardization of the MMSPE (Mini-Mental State Pediatric Examination), a brief cognitive
P Scarpa1,2, A Toraldo1, Valeria Peviani3,4
1Cognitive Neuropsychology Centre, ASST Grande Ospedale Metropolitano, Niguarda Hospital, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy.
Abstract:
A pediatric cognitive screening tool has been shaped in three versions according to school class to assess spatial and temporal orientation, language, reading, writing, drawing, number knowledge, memory, praxis and executive functions in children aged 6-13. It has been standardized on an Italian sample of 807 children. Raw scores were adjusted for critical variables (child's age and parents' education) and a cut-off for the resulting global cognitive score was made available for clinical practice. In line with previous research, adapting the Mini-Mental State Examination to pediatric neuropsychological assessment turned out to be useful in estimating global cognitive functioning in children.
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