Publications by authors named "M Bracco"

This study aimed to identify attentional foci and coping strategies of elite fencers during competitive matches, explore the co-occurrences between both, and examine their impact on performance. Twenty-two epeeists (11 males and 11 females) from a national team took part in self-confrontation interviews during two simulated tournaments. Data were analysed using inductive and deductive content analyses.

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Article Synopsis
  • The study focuses on the biomechanics and deformation patterns of abdominal aortic aneurysms (AAAs), highlighting that some AAAs can rupture despite being small and that size alone isn't a reliable risk indicator.
  • Researchers recorded ultrasound video clips from 50 AAA patients, analyzing the vessel wall's strain patterns and discovering that these patterns are more reproducible than traditional size-based assessments.
  • Findings suggest that using strain patterns could improve risk assessment for AAA patients, but the clinical reproducibility of the specific strain measurements was found to be poor.
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Purpose: Ultrasound imaging is key in the management of patients with an abdominal aortic aneurysm (AAA). It was recently shown that the cyclic diameter variations between diastole and systole, which can be quantified with US imaging, increase significantly with the strength of the applied probe pressure on the patient's abdomen. The goal of this study is to investigate this effect more thoroughly.

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Background: Focal brain lesions following a stroke of the middle cerebral artery induce large-scale network disarray with a potential to impact multiple cognitive and behavioral domains. Over the last 20 years, non-invasive brain neuromodulation via electrical (tCS) stimulation has shown promise to modulate motor deficits and contribute to recovery. However, weak, inconsistent, or at times heterogeneous outcomes using these techniques have also highlighted the need for novel strategies and the assessment of their efficacy in ad hoc controlled clinical trials.

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Statistical power in cognitive neuroimaging experiments is often very low. Low sample size can reduce the likelihood of detecting real effects (false negatives) and increase the risk of detecting non-existing effects by chance (false positives). Here, we document our experience of leveraging a relatively unexplored method of collecting a large sample size for simple electroencephalography (EEG) studies: by recording EEG in the community during public engagement and outreach events.

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