Education may play a key role in developing 'cognitive reserve' against neurodegenerative dementia. In this work, we investigate for the first time if handwriting dynamics can serve as a quantitative indicator of this reserve. We carried out an exploratory study involving a sample of mild cognitive impairment (MCI) subjects, with high and low education respectively, and a sample of healthy elder controls. We asked them to perform three complex handwriting tasks on a digitizing tablet: Drawing a clock; copying a check; writing a spontaneous sentence. Dynamic measures of the handwriting were then analyzed both with an unsupervised and a supervised machine learning approach. The results we obtained suggest that: (i) handwriting of MCI subjects with high reserve is quite similar to that of controls; (ii) handwriting of MCI subjects with lower reserve is easier to be distinguished from the other two. Dynamic handwriting analysis could provide a novel methodology to elucidate the still unknown mechanisms underlying brain resilience.

Angelillo, M. T., Impedovo, D., Pirlo, G., Sarcinella, L., Vessio, G., Handwriting dynamics as an indicator of cognitive reserve: an exploratory study, Abstract de <<2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019>>, (Bari, 06-09 October 2019 ), Institute of Electrical and Electronics Engineers Inc., Bari 2019:<<CONFERENCE PROCEEDINGS / IEEE INTERNATIONAL CONFERENCE ON SYSTEMS MAN AND CYBERNETICS>>,2019 835-840. 10.1109/SMC.2019.8914157 [http://hdl.handle.net/10807/149728]

Handwriting dynamics as an indicator of cognitive reserve: an exploratory study

Angelillo, Maria Teresa;
2019

Abstract

Education may play a key role in developing 'cognitive reserve' against neurodegenerative dementia. In this work, we investigate for the first time if handwriting dynamics can serve as a quantitative indicator of this reserve. We carried out an exploratory study involving a sample of mild cognitive impairment (MCI) subjects, with high and low education respectively, and a sample of healthy elder controls. We asked them to perform three complex handwriting tasks on a digitizing tablet: Drawing a clock; copying a check; writing a spontaneous sentence. Dynamic measures of the handwriting were then analyzed both with an unsupervised and a supervised machine learning approach. The results we obtained suggest that: (i) handwriting of MCI subjects with high reserve is quite similar to that of controls; (ii) handwriting of MCI subjects with lower reserve is easier to be distinguished from the other two. Dynamic handwriting analysis could provide a novel methodology to elucidate the still unknown mechanisms underlying brain resilience.
2019
Inglese
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)
2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
Bari
6-ott-2019
9-ott-2019
978-1-7281-4570-9
Institute of Electrical and Electronics Engineers Inc.
Angelillo, M. T., Impedovo, D., Pirlo, G., Sarcinella, L., Vessio, G., Handwriting dynamics as an indicator of cognitive reserve: an exploratory study, Abstract de <<2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019>>, (Bari, 06-09 October 2019 ), Institute of Electrical and Electronics Engineers Inc., Bari 2019:<<CONFERENCE PROCEEDINGS / IEEE INTERNATIONAL CONFERENCE ON SYSTEMS MAN AND CYBERNETICS>>,2019 835-840. 10.1109/SMC.2019.8914157 [http://hdl.handle.net/10807/149728]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/149728
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