The effect of caffeine on handwriting movements in skilled writers

Tucha, Oliver; Walitza, Susanne; Mecklinger, Lara; Stasik, Dorota; Sontag, Thomas-A.; Lange, Klaus W.

doi:10.1016/j.humov.2006.06.001

Cited by 42 publications

(22 citation statements)

References 45 publications

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“…For instance, handwriting skill degradation and Alzheimer's disease (AD) appear to be significantly correlated [17,18], and some aspects of handwriting can be good indicators for its diagnosis [6,17,18] or help to differentiate between mild Alzheimer's disease and mild cognitive impairment [17,18]. Additionally, the analysis of handwriting has proved useful to assess the effects of substances such as alcohol [19], marijuana [20] or caffeine [21]. Thanks to modern acquisition devices, the field of psychology has also benefited from the analysis of handwriting.…”

Section: Online Drawing Applied To Health Analysismentioning

confidence: 99%

Selection of Entropy Based Features for Automatic Analysis of Essential Tremor

Ipiña

Solé-Casals

Faundez-Zanuy

et al. 2016

Entropy

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Biomedical systems produce biosignals that arise from interaction mechanisms. In a general form, those mechanisms occur across multiple scales, both spatial and temporal, and contain linear and non-linear information. In this framework, entropy measures are good candidates in order provide useful evidence about disorder in the system, lack of information in time-series and/or irregularity of the signals. The most common movement disorder is essential tremor (ET), which occurs 20 times more than Parkinson's disease. Interestingly, about 50%-70% of the cases of ET have a genetic origin. One of the most used standard tests for clinical diagnosis of ET is Archimedes' spiral drawing. This work focuses on the selection of non-linear biomarkers from such drawings and handwriting, and it is part of a wider cross study on the diagnosis of essential tremor, where our piece of research presents the selection of entropy features for early ET diagnosis. Classic entropy features are compared with features based on permutation entropy. Automatic analysis system settled on several Machine Learning paradigms is performed, while automatic features selection is implemented by means of ANOVA (analysis of variance) test. The obtained results for early detection are promising and appear applicable to real environments.

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Section: Online Drawing Applied To Health Analysismentioning

confidence: 99%

Selection of Entropy Based Features for Automatic Analysis of Essential Tremor

Ipiña

Solé-Casals

Faundez-Zanuy

et al. 2016

Entropy

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“…It enhances performance in sustained attention tasks (Kelemen and Creeley, 2001). It improves performance in a simulated driving task (Brice and Smith, 2001) and in other real-life motor tasks, such as handwriting (Tucha et al, 2006). Lastly, in the first study to use fMRI to evaluate caffeine cognitive effects, it was recently found that caffeine modulates neuronal activity during working memory and attentional processes (Koppelstaetter et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Glucose and caffeine effects on sustained attention: an exploratory fMRI study.

Serra-Grabulosa

Adán

Falcón

et al. 2010

Human Psychopharmacology

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“…These changes can be apparent when examining kinematic variables of writing as in our case, where velocity and acceleration drawing decreased with O 2 [25]. For example, substances such as caffeine improve the fluency of handwriting movements and also increase maximum velocity and maximum positive and negative accelerations [26,3,27]. Other substances like nicotine can enhance psychomotor performance of motor tasks to a significant degree [28].…”

Section: Discussionmentioning

confidence: 64%