scholarly journals Unihemispheric sleep and asymmetrical sleep: behavioral, neurophysiological, and functional perspectives [Corrigendum]

2016 ◽  
Vol Volume 9 ◽  
pp. 1-2
Author(s):  
Gian G. Mascetti, Gian Gastone
Keyword(s):  
Unihemispheric Sleep

scholarly journals Daytime micro-naps in a nocturnal migrant: an EEG analysis

2008 ◽  
Vol 5 (1) ◽  
pp. 77-80 ◽  
Author(s):  
T Fuchs ◽  
D Maury ◽  
F.R Moore ◽  
V.P Bingman
Keyword(s):  
Brain Activity ◽  
Sleep Loss ◽  
Eeg Analysis ◽  
Observable Effect ◽  
Brain Response ◽  
Night Time ◽  
Avian Migration ◽  
Unihemispheric Sleep ◽  
Daytime Behaviour ◽  
Behavioural Evidence

Many species of typically diurnal songbirds experience sleep loss during the migratory seasons owing to their nocturnal migrations. However, despite substantial loss of sleep, nocturnally migrating songbirds continue to function normally with no observable effect on their behaviour. It is unclear if and how avian migrants compensate for sleep loss. Recent behavioural evidence suggests that some species may compensate for lost night-time sleep with short, uni- and bilateral ‘micro-naps’ during the day. We provide electrophysiological evidence that short episodes of sleep-like daytime behaviour (approx. 12 s) are accompanied by sleep-like changes in brain activity in an avian migrant. Furthermore, we present evidence that part of this physiological brain response manifests itself as unihemispheric sleep, a state during which one brain hemisphere is asleep while the other hemisphere remains essentially awake. Episodes of daytime sleep may represent a potent adaptation to the challenges of avian migration and offer a plausible explanation for the resilience to sleep loss in nocturnal migrants.

Effects of social interaction on monocular/unihemispheric sleep in male and female domestic chicks

2006 ◽  
Vol 73 (3) ◽  
pp. 213-219 ◽  
Author(s):  
Daniela Bobbo ◽  
Giorgio Vallortigara ◽  
Gian G. Mascetti
Keyword(s):  
Social Interaction ◽  
Male And Female ◽  
Unihemispheric Sleep ◽  
Domestic Chicks

scholarly journals Integrating Biologging and Behavioral State Modeling to Identify Cryptic Behaviors and Post-capture Recovery Processes: New Insights From a Threatened Marine Apex Predator

2022 ◽  
Vol 8 ◽  
Author(s):  
Richard Grainger ◽  
David Raubenheimer ◽  
Victor M. Peddemors ◽  
Paul A. Butcher ◽  
Gabriel E. Machovsky-Capuska
Keyword(s):  
Markov Models ◽  
Recovery Period ◽  
Behavioral State ◽  
Track Reconstruction ◽  
Natural Behavior ◽  
Catch And Release ◽  
Recovery Processes ◽  
Unihemispheric Sleep ◽  
Disturbance And Recovery ◽  
New Evidence

Multisensor biologging provides a powerful tool for ecological research, enabling fine-scale observation of animals to directly link physiology and movement to behavior across ecological contexts. However, applied research into behavioral disturbance and recovery following human interventions (e.g., capture and translocation) has mostly relied on coarse location-based tracking or unidimensional approaches (e.g., dive profiles and activity/energetic metrics) that may not resolve behaviors and recovery processes. Biologging can improve insights into both disturbed and natural behavior, which is critical for management and conservation initiatives, although challenges remain in objectively identifying distinct behavioral modes from complex multisensor datasets. Using white sharks (Carcharodon carcharias) released from a non-lethal catch-and-release shark bite mitigation program, we explored how combining multisensor biologging (video, depth, accelerometers, gyroscopes, and magnetometers), track reconstruction and behavioral state modeling using hidden Markov models (HMMs) can improve our understanding of behavioral processes and recovery. Biologging tags were deployed on eight white sharks, recording their continuous behaviors, movements, and environmental context (habitat, interactions with other organisms/objects) for periods of 10–87 h post-release. Dive profiles and tailbeat analysis (as a standard, activity-based method for assessing recovery) indicated an immediate “disturbed” period of offshore movement, displaying rapid tailbeats and an average tailbeat-derived recovery period of 9.7 h, with evidence of smaller individuals having longer recoveries. However, further integrating magnetometer-derived headings, track reconstruction and HMM modeling revealed a cryptic shift to diurnal clockwise-counterclockwise circling behavior, which we argue represents compelling new evidence for hypothesized unihemispheric sleep amongst elasmobranchs. By simultaneously providing critical information toward conservation-focused shark management and understudied aspects of shark behavior, our study highlights how integrating multisensor information through HMMs can improve our understanding of both post-release and natural behavior, especially in species that are difficult to observe directly.

scholarly journals Unihemispheric sleep in crocodilians?

2015 ◽  
Vol 218 (20) ◽  
pp. 3175-3178 ◽  
Author(s):  
M. L. Kelly ◽  
R. A. Peters ◽  
R. K. Tisdale ◽  
J. A. Lesku
Keyword(s):  
Unihemispheric Sleep

Monocular-unihemispheric sleep and visual discrimination learning in the domestic chick

2006 ◽  
Vol 176 (1) ◽  
pp. 70-84 ◽  
Author(s):  
Gian G. Mascetti ◽  
Marina Rugger ◽  
Giorgio Vallortigara ◽  
Daniela Bobbo
Keyword(s):  
Discrimination Learning ◽  
Visual Discrimination ◽  
Domestic Chick ◽  
Visual Discrimination Learning ◽  
Unihemispheric Sleep

scholarly journals Partial synchronization in empirical brain networks as a model for unihemispheric sleep

2019 ◽  
Vol 126 (5) ◽  
pp. 50007 ◽  
Author(s):  
Lukas Ramlow ◽  
Jakub Sawicki ◽  
Anna Zakharova ◽  
Jaroslav Hlinka ◽  
Jens Christian Claussen ◽  
...  
Keyword(s):  
Brain Networks ◽  
Partial Synchronization ◽  
Unihemispheric Sleep
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