2019
DOI: 10.1101/653899
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Time of day is associated with paradoxical reductions in global signal fluctuation and functional connectivity

Abstract: The 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, … Show more

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Cited by 15 publications
(20 citation statements)
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“…These findings are contradictory to previously reported results that indicate a shift in DMN and MTL FC from morning to evening (Blautzik et al, 2013, Shannon et al, 2013. Interestingly, a recent publication using the same subjects (Human Connectome Project release S1200) reports a cumulative global signal (GS) decrease and whole brain FC decrease throughout the day (Orban et al, 2020), which appear as inconsistent with present findings of constant FC in DMN, SN and CEN. However, the conflicting findings between the current and previously reported results are likely rooted in different methodological approaches used that aimed to separate metabolic factors from connectivity.…”
Section: Discussioncontrasting
confidence: 99%
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“…These findings are contradictory to previously reported results that indicate a shift in DMN and MTL FC from morning to evening (Blautzik et al, 2013, Shannon et al, 2013. Interestingly, a recent publication using the same subjects (Human Connectome Project release S1200) reports a cumulative global signal (GS) decrease and whole brain FC decrease throughout the day (Orban et al, 2020), which appear as inconsistent with present findings of constant FC in DMN, SN and CEN. However, the conflicting findings between the current and previously reported results are likely rooted in different methodological approaches used that aimed to separate metabolic factors from connectivity.…”
Section: Discussioncontrasting
confidence: 99%
“…In the present study, the dynamic relationship between functionally connected nodes was assessed using a generative model, namely Dynamic Causal Modelling, which analyses the bidirectional effect each network exhibits with itself and others. By contrast, previous publications reported the functional connectivity, namely the correlational relationship between the nodes of the network, which is based on the temporal correlations of the BOLD signals (Facer-Childs et al, 2019;Orban et al, 2020). One might speculate that those correlative approaches are potentially biased by systematic variations of the underlying BOLD signal, as demonstrated by the present study.…”
Section: Discussioncontrasting
confidence: 79%
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“…However, other studies have shown that the GS is not merely nonneuronal noise, and it contains important information about neuronal activity. For instance, the GS in fMRI exhibits a high correlation to electrophysiological measures on the cortical level [ 4 , 5 ]; its global fluctuation may partly stem from subcortical regions (e.g., basal forebrain) relating to arousal [ 6 , 7 ]; and its variance fluctuates across time of day [ 8 ]. Finally, abnormalities in the level of the GS have been observed in psychiatric disorders like schizophrenia [ 9 ] and bipolar disorder [ 10 ].…”
Section: Introductionmentioning
confidence: 99%