scholarly journals Time of day is associated with paradoxical reductions in global signal fluctuation and functional connectivity

2019 ◽  
Author(s):  
Csaba Orban ◽  
Ru Kong ◽  
Jingwei Li ◽  
Michael W.L. Chee ◽  
B. T. Thomas Yeo

1.AbstractThe brain exhibits substantial diurnal variation in physiology and function but neuroscience studies rarely report or consider the effects of time of day. Here, we examined variation in resting-state fMRI in around 900 subjects scanned between 8am to 10pm on two different days. Multiple studies across animals and humans have demonstrated that the brain’s global signal amplitude (henceforth referred to as “fluctuation”) increases with decreased arousal. Thus, in accord with known circadian variation in arousal, we hypothesised that global signal fluctuation would be lowest in the morning, increase in the mid-afternoon and dip in the early evening. Instead, we observed a cumulative decrease (22% between 9am to 9pm) in global signal fluctuation as the day progressed. To put the magnitude of this decrease in context, we note that task-evoked fMRI responses are typically in the order of 1% to 3%. Respiratory variation also decreased with time of day, although control analyses suggested that this did not account for the reduction in GS fluctuation. Finally, time of day was associated with marked decreases in resting state functional connectivity across the whole brain. The magnitude of decrease was significantly stronger than associations between functional connectivity and behaviour (e.g., fluid intelligence). These findings reveal unexpected effects of time of day on the resting human brain, which challenge the prevailing notion that the brain’s global signal reflects mostly arousal and physiological artefacts. We conclude by discussing potential mechanisms for the observed diurnal variation in resting brain activity and the importance of accounting for time of day in future studies.


2019 ◽  
Author(s):  
Magdalena Fafrowicz ◽  
Bartosz Bohaterewicz ◽  
Anna Ceglarek ◽  
Monika Cichocka ◽  
Koryna Lewandowska ◽  
...  

Human performance, alertness, and most biological functions express rhythmic fluctuations across a 24-hour-period. This phenomenon is believed to originate from differences in both circadian and homeostatic sleep-wake regulatory processes. Interactions between these processes result in time-of-day modulations of behavioral performance as well as brain activity patterns. Although the basic mechanism of the 24-hour clock is conserved across evolution, there are interindividual differences in the timing of sleep-wake cycles, subjective alertness and functioning throughout the day. The study of circadian typology differences has increased during the last few years, especially research on extreme chronotypes, which provide a unique way to investigate the effects of sleep-wake regulation on cerebral mechanisms. Using functional magnetic resonance imaging (fMRI), we assessed the influence of chronotype and time-of-day on resting-state functional connectivity. 29 extreme morning- and 34 evening-type participants underwent two fMRI sessions: about one hour after wake-up time (morning) and about ten hours after wake-up time (evening), scheduled according to their declared habitual sleep-wake pattern on a regular working day. Analysis of obtained neuroimaging data disclosed only an effect of time of day on resting-state functional connectivity; there were different patterns of functional connectivity between morning and evening sessions. The results of our study showed no differences between extreme morning-type and evening-type individuals. We demonstrate that circadian and homeostatic influences on the resting-state functional connectivity have a universal character, unaffected by circadian typology.



2015 ◽  
Vol 36 (10) ◽  
pp. 4089-4103 ◽  
Author(s):  
Johann D. Kruschwitz ◽  
Andreas Meyer-Lindenberg ◽  
Ilya M. Veer ◽  
Carolin Wackerhagen ◽  
Susanne Erk ◽  
...  


PLoS Biology ◽  
2021 ◽  
Vol 19 (5) ◽  
pp. e3001258
Author(s):  
Csaba Orban ◽  
Ru Kong ◽  
Jingwei Li ◽  
Michael W. L. Chee ◽  
B. T. Thomas Yeo


NeuroImage ◽  
2015 ◽  
Vol 117 ◽  
pp. 29-39 ◽  
Author(s):  
Fatima A. Nasrallah ◽  
Ling Yun Yeow ◽  
Bharat Biswal ◽  
Kai-Hsiang Chuang


2018 ◽  
Vol 51 ◽  
pp. 151-157 ◽  
Author(s):  
João Paulo Santos Silva ◽  
Luciana da Mata Mônaco ◽  
André Monteiro Paschoal ◽  
Ícaro Agenor Ferreira de Oliveira ◽  
Renata Ferranti Leoni


PLoS Biology ◽  
2020 ◽  
Vol 18 (2) ◽  
pp. e3000602 ◽  
Author(s):  
Csaba Orban ◽  
Ru Kong ◽  
Jingwei Li ◽  
Michael W. L. Chee ◽  
B. T. Thomas Yeo


NeuroImage ◽  
2019 ◽  
Vol 196 ◽  
pp. 126-141 ◽  
Author(s):  
Jingwei Li ◽  
Ru Kong ◽  
Raphaël Liégeois ◽  
Csaba Orban ◽  
Yanrui Tan ◽  
...  


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1889-P
Author(s):  
ALLISON L.B. SHAPIRO ◽  
SUSAN L. JOHNSON ◽  
BRIANNE MOHL ◽  
GRETA WILKENING ◽  
KRISTINA T. LEGGET ◽  
...  


Sign in / Sign up

Export Citation Format

Share Document