Sleep Science Friday Series
Sleep Science Friday Series
Podcast Description
Sleep Science Friday Series features timely conversations with leading researchers, clinicians, and early-career scientists driving the field of sleep forward.From bench to bedside, Sleep Science Friday provides an ever-evolving platform for dialogue, discovery, and dissemination, amplifying voices across disciplines and borders.Whether you're exploring the latest findings or revisiting fundamental knowledge, this series invites you to grow with science and with the global sleep community.
Podcast Insights
Content Themes
The series dives into themes such as sleep's role in Alzheimer’s Disease, biological sex differences influencing sleep patterns, and the importance of caregiver engagement in research, with episodes like 'Sleep, Biological Sex Differences, and Alzheimer's Disease' exploring the intersection of these topics with detailed insights from leading researchers.

Sleep Science Friday Series features timely conversations with leading researchers, clinicians, and early-career scientists driving the field of sleep forward.
From bench to bedside, Sleep Science Friday provides an ever-evolving platform for dialogue, discovery, and dissemination, amplifying voices across disciplines and borders.
Whether you’re exploring the latest findings or revisiting fundamental knowledge, this series invites you to grow with science and with the global sleep community.
In this episode, Dr. Lyudmila Korostovtseva speaks with Dr Matteo Carpi about his recent paper, Shall we rush to be brief? Methodological and clinical costs of shortening insomnia scales, co-authored with Dr Daniel Ruivo Marques.
The discussion explores the growing use of shortened insomnia assessment tools and examines the methodological and clinical implications of reducing self-report scales. Topics include the rationale behind scale abbreviation, the importance of item-level information for understanding symptom profiles and treatment effects, and the role of comprehensive assessment tools in supporting accurate clinical evaluation and meaningful research outcomes.

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