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Author |
Lerner, O.; Friedman, J.; Frenkel-Toledo, S. |
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Title |
The effect of high-definition transcranial direct current stimulation intensity on motor performance in healthy adults: a randomized controlled trial |
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Journal Article |
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Year |
2021 |
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Journal of NeuroEngineering and Rehabilitation |
Abbreviated Journal |
J NeuroEngineering Rehabil |
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18 |
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103 |
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1743-0003 |
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109 |
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Cantergi, D.; Awasthi, B.; Friedman, J. |
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Title |
Moving objects by imagination? Amount of finger movement and pendulum length determine success in the Chevreul pendulum illusion |
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Journal Article |
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Year |
2021 |
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Human Movement Science |
Abbreviated Journal |
Human Movement Science |
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Volume |
80 |
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Pages |
102879 |
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0167-9457 |
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111 |
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Frenkel-Toledo, S.; Levin, M.F.; Berman, S.; Liebermann, D.G.; Baniña, M.C.; Solomon, J.M.; Ofir-Geva, S.; Soroker, N. |
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Shared and distinct voxel-based lesion-symptom mappings for spasticity and impaired movement in the hemiparetic upper limb |
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Journal Article |
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Year |
2022 |
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Scientific Reports |
Abbreviated Journal |
Sci Rep |
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12 |
Issue |
1 |
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2045-2322 |
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113 |
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Mimouni-Bloch, A.; Shaklai, S.; Levin, M.; Ingber, M.; Karolitsky, T.; Grunbaum, S.; Friedman, J. |
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Title |
Developmental and acquired brain injury have opposite effects on finger coordination in children |
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Journal Article |
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Year |
2023 |
Publication |
Frontiers in Human Neuroscience |
Abbreviated Journal |
Front. Hum. Neurosci. |
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17 |
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1083304 |
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1662-5161 |
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119 |
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Author |
Thorpe, A.; Friedman, J.; Evans, S.; Nesbitt, K.; Eidels, A. |
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Title |
Mouse Movement Trajectories as an Indicator of Cognitive Workload |
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Journal Article |
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Year |
2022 |
Publication |
International Journal of Human-Computer Interaction |
Abbreviated Journal |
International Journal of Human-Computer Interaction |
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Volume |
38 |
Issue |
15 |
Pages |
1464-1479 |
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Abstract |
Assessing the cognitive impact of user interfaces is a shared focus of human-computer interaction researchers and cognitive scientists. Methods of cognitive assessment based on data derived from the system itself, rather than external apparatus, have the potential to be applied in a range of scenarios. The current study applied methods of analyzing kinematics to mouse movements in a computer-based task, alongside the detection response task, a standard workload measure. Sixty-five participants completed a task in which stationary stimuli were tar;geted using a mouse, with a within-subjects factor of task workload based on the number of targets to be hovered over with the mouse (one/two), and a between-subjects factor based on whether both targets (exhaustive) or just one target (minimum-time) needed to be hovered over to complete a trial when two targets were presented. Mouse movement onset times were slower and mouse movement trajectories exhibited more submovements when two targets were presented, than when one target was presented. Responses to the detection response task were also slower in this condition, indicating higher cognitive workload. However, these differences were only found for participants in the exhaustive condition, suggesting those in the minimum-time condition were not affected by the presence of the second target. Mouse movement trajectory results agreed with other measures of workload and task performance. Our findings suggest this analysis can be applied to workload assessments in real-world scenarios. |
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1044-7318 |
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117 |
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