Article ; Online: The mouse suprachiasmatic nucleus encodes irradiance via a diverse population of neurons monotonically tuned to different ranges of intensity.
2023 Volume 601, Issue 21, Page(s) 4737–4749
Abstract: Many neurons of the mammalian master circadian oscillator in the suprachiasmatic nuclei (SCN) respond to light pulses with irradiance-dependent changes in firing. Here, we set out to better understand this irradiance coding ability by considering how the ...
Abstract | Many neurons of the mammalian master circadian oscillator in the suprachiasmatic nuclei (SCN) respond to light pulses with irradiance-dependent changes in firing. Here, we set out to better understand this irradiance coding ability by considering how the SCN tracks more continuous changes in irradiance at both population and single unit level. To this end, we recorded extracellular activity in the SCN of anaesthetised mice presented with up + down irradiance staircase stimuli covering moonlight to daylight conditions and incorporating epochs with steady light or superimposed higher frequency modulations (temporal white noise (WN) and frequency/contrast chirps). Single unit activity was extracted by spike sorting. The population response of SCN units to this stimulus was a progressive increase in firing rate at higher irradiances. This relationship was symmetrical for up vs. down phases of the ramp in the presence of white noise or chirps but exhibited hysteresis for steady light, with firing systematically higher during increasing irradiance. Single units also showed a monotonic relationship between firing and irradiance but exhibited diversity not only in response polarity (increases vs. decreases in firing), but also in the sensitivity (EC |
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MeSH term(s) | Mice ; Animals ; Circadian Rhythm/physiology ; Suprachiasmatic Nucleus/physiology ; Neurons/physiology ; Light ; Circadian Clocks ; Mammals |
Language | English |
Publishing date | 2023-10-01 |
Publishing country | England |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 3115-x |
ISSN | 1469-7793 ; 0022-3751 |
ISSN (online) | 1469-7793 |
ISSN | 0022-3751 |
DOI | 10.1113/JP285000 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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