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Biology subjects

Schirmer, A. E.

Publications and source records attributed to Schirmer, A. E..

2 recordsLinked to original sources

Circadian rhythm distinctness predicts academic performance based on large-scale learning management system data

The subjective amplitude of circadian oscillations (distinctness) is an understudied dimension of circadian rhythmicity, which describes how strongly mood and cognition fluctuate during the day. Emerging evidence suggests that distinctness may be as important as chronotype in regulating the temporal organization of key physiological processes. Previous studies have relied on questionnaires and lacked an objective measure of distinctness. Here, we propose the first objective behavioral measure of distinctness based on circular statistics. We applied this approach to 3.4 million login events from 13,894 unique university students and found a non-linear association between distinctness and academic performance: students with moderate daily rhythmicity achieved the highest performance. This relationship varied by chronotype: larks benefited from stronger rhythms, finches from moderate rhythms, and owls from weaker, more flexible rhythms. Circadian distinctness was also closely linked to social jetlag, which increased with more rigid rhythmicity across chronotypes. These findings suggest that the academic disadvantage often attributed to specific chronotypes does not stem from time preference itself, but from the overall interplay of chronotype, distinctness, and schedules that are incompatible with individual biological timings. Considering rhythm flexibility alongside chronotype may therefore improve educational design and equity.

animal behavior and cognition↗

Circadian rhythmicity and reinforcement processing: a dataset of MRI, fMRI, and behavioral measurements

Circadian rhythmicity is a complex phenomenon that influences human behavior, emotionality and brain activity. A detailed description of individual differences in circadian rhythmicity could inform the design of educational systems, shift-worker schedules, and daily routines. Here we present a comprehensive dataset for studying diurnal rhythms and their relationship with human behavior. Thirty seven male participants (aged 20-30) filled in validated psychometric questionnaires assessing characteristics of the circadian rhythm, sleep quality, emotionality, personality traits, reward-punishment processing and attention deficits. Moreover, we acquired high-resolution anatomical T1-weighted images using magnetic resonance imaging (MRI), B0 fieldmaps for distortion corrections, and functional MRI (fMRI) during the Monetary Incentive Delay (MID) task, which is a common paradigm to assess human neural reinforcement processing. All files are organized in Brain Imaging Data Structure (BIDS) and openly available on OpenNeuro.org. The validation of all data confirmed high-quality of described dataset. The various psychological measures combined with neuroimaging data provide strong foundation for exploring emotionality, affective processing, and attention in the context of brain activity and circadian influences.

neuroscience↗