2017
DOI: 10.1093/scan/nsx057
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An earlier time of scan is associated with greater threat-related amygdala reactivity

Abstract: Time-dependent variability in mood and anxiety suggest that related neural phenotypes, such as threat-related amygdala reactivity, may also follow a diurnal pattern. Here, using data from 1,043 young adult volunteers, we found that threat-related amygdala reactivity was negatively coupled with time of day, an effect which was stronger in the left hemisphere (β = −0.1083, p-fdr = 0.0012). This effect was moderated by subjective sleep quality (β = −0.0715, p-fdr = 0.0387); participants who reported average and p… Show more

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Cited by 7 publications
(5 citation statements)
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References 126 publications
(148 reference statements)
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“…Many factors beyond interscan interval and development are likely influence the stability of neural activation as measured by fMRI tasks. Evidence suggests that activation during cognitive and affective tasks is sensitive to time-varying states, including mood, sleep, and recent stress ( Nikolova and Hariri, 2012 ; Hasler et al, 2012 ; Baranger et al, 2016 , 2017 ), which may place a ceiling on the maximum stability that is achievable with task-based fMRI. This concern is in addition to the wide array of technical aspects of fMRI data collection that will influence the signal-to-noise ratio, including task design, scanner manufacturer, acquisition protocol, ambient temperature, and head motion ( Elliott et al, 2020 ; Greve et al, 2011 ; Karch et al, 2019 ; Petersen and Dubis, 2012 ; Power et al, 2014 ).…”
Section: Discussionmentioning
confidence: 99%
“…Many factors beyond interscan interval and development are likely influence the stability of neural activation as measured by fMRI tasks. Evidence suggests that activation during cognitive and affective tasks is sensitive to time-varying states, including mood, sleep, and recent stress ( Nikolova and Hariri, 2012 ; Hasler et al, 2012 ; Baranger et al, 2016 , 2017 ), which may place a ceiling on the maximum stability that is achievable with task-based fMRI. This concern is in addition to the wide array of technical aspects of fMRI data collection that will influence the signal-to-noise ratio, including task design, scanner manufacturer, acquisition protocol, ambient temperature, and head motion ( Elliott et al, 2020 ; Greve et al, 2011 ; Karch et al, 2019 ; Petersen and Dubis, 2012 ; Power et al, 2014 ).…”
Section: Discussionmentioning
confidence: 99%
“…This is despite multiple plausible theoretical routes through which sleep disturbances may exacerbate or induce psychotic-like, dissociative, and hypomanic experiences (Harvey et al, 2008;Yates, 2016;Pociavsek & Rowland, 2017). Sleep disturbances have been shown to negatively impact emotion regulation (Beattie et al, 2015), executive functioning (Tucker et al, 2010), increase threat anticipation at a behavioural (Kyle et al, 2014) and cortical level (Yoo et al, 2007;Baranger et al, 2017), and increase functional levels of dopamine (Yates, 2016). Furthermore, there is also considerable overlap in brain regions negatively influenced by experimental sleep deprivation and those shown to be altered in psychotic-like (Yates, 2016;Pocivavsek & Rowland, 2017) and hypomanic (McKenna & Eyler, 2012) experiences.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…We also should note that many additional factors likely influence the stability of neural activation as measured by fMRI tasks. Evidence suggests that activation during cognitive and affective tasks is sensitive to time-varying states, including mood, sleep, and recent stress (Nikolova and Hariri, 2012;Hasler et al, 2012;Baranger et al, 2016Baranger et al, , 2017, which may place a ceiling on the maximum stability that is achievable with task-based fMRI. This concern is in addition to the wide array of technical aspects of fMRI data collection that will influence the signal-to-noise ratio, including task design, scanner manufacturer, ambient temperature, and head motion (Greve et al, 2011;Karch et al, 2019;Petersen and Dubis, 2012;Power et al, 2014).…”
Section: Factors That May Limit the Maximally Observable Stabilitymentioning
confidence: 99%