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Artikel ; Online: Dietary restriction modulates ultradian rhythms and autocorrelation properties in mice behavior.

Kembro, Jackelyn Melissa / Flesia, Ana Georgina / Acosta-Rodríguez, Victoria América / Takahashi, Joseph S / Nieto, Paula Sofía

Communications biology

2024  Band 7, Heft 1, Seite(n) 303

Abstract: Animal behavior emerges from integration of many processes with different spatial and temporal scales. Dynamical behavioral patterns, including daily and ultradian rhythms and the dynamical microstructure of behavior (i.e., autocorrelations properties), ... ...

Abstract Animal behavior emerges from integration of many processes with different spatial and temporal scales. Dynamical behavioral patterns, including daily and ultradian rhythms and the dynamical microstructure of behavior (i.e., autocorrelations properties), can be differentially affected by external cues. Identifying these patterns is important for understanding how organisms adapt to their environment, yet unbiased methods to quantify dynamical changes over multiple temporal scales are lacking. Herein, we combine a wavelet approach with Detrended Fluctuation Analysis to identify behavioral patterns and evaluate changes over 42-days in mice subjected to different dietary restriction paradigms. We show that feeding restriction alters dynamical patterns: not only are daily rhythms modulated but also the presence, phase and/or strength of ~12h-rhythms, as well as the nature of autocorrelation properties of feed-intake and wheel running behaviors. These results highlight the underlying complexity of behavioral architecture and offer insights into the multi-scale impact of feeding habits on physiology.
Mesh-Begriff(e) Mice ; Animals ; Ultradian Rhythm ; Motor Activity/physiology ; Behavior, Animal/physiology ; Eating ; Agriculture
Sprache Englisch
Erscheinungsdatum 2024-03-09
Erscheinungsland England
Dokumenttyp Journal Article
ISSN 2399-3642
ISSN (online) 2399-3642
DOI 10.1038/s42003-024-05991-3
Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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