AUTHOR=Kong Dan , Liu Run , Song Lixiao , Zheng Jiyong , Zhang Jiandong , Chen Wei 

TITLE=Altered Long- and Short-Range Functional Connectivity Density in Healthy Subjects After Sleep Deprivations

JOURNAL=Frontiers in Neurology

VOLUME=9

YEAR=2018

URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2018.00546

DOI=10.3389/fneur.2018.00546

ISSN=1664-2295

ABSTRACT=<p><bold>Objective:</bold> To investigate the brain functional organization induced by sleep deprivation (SD) using functional connectivity density (FCD) analysis.</p><p><bold>Methods:</bold> Twenty healthy subjects (12 female, 8 male; mean age, 20.6 ± 1.9 years) participated a 24 h sleep deprivation (SD) design. All subjects underwent the MRI scan and attention network test twice, once during rested wakefulness (RW) status, and the other was after 24 h acute SD. FCD was divided into the shortFCD and longFCD. Receiver operating characteristic (ROC) curve was used to evaluate the discriminating ability of those FCD differences in brain areas during the SD status from the RW status, while Pearson correlations was used to evaluate the relationships between those differences and behavioral performances.</p><p><bold>Results:</bold> Subjects at SD status exhibited lower accuracy rate and longer reaction time relative to RW status. Compared with RW, SD had a significant decreased shortFCD in the left cerebellum posterior lobe, right cerebellum anterior lobe, and right orbitofrontal cortex, and increased shortFCD in the left occipital gyrus, bilateral thalamus, right paracentral lobule, bilateral precentral gyrus, and bilateral postcentral gyrus. Compared with RW, SD had a significant increased longFCD in the right precentral gyrus, bilateral postcentral gyrus, and right visuospatial network, and decreased longFCD in the default mode network. The area under the curve values of those specific FCD differences in brain areas were (mean ± std, 0.933 ± 0.035; 0.863~0.977). Further ROC curve analysis demonstrated that the FCD differences in those brain areas alone discriminated the SD status from the RW status with high degree of sensitivities (89.19 ± 6%; 81.3~100%) and specificities (89.15 ± 6.87%; 75~100%). Reaction time showed a negative correlation with the right orbitofrontal cortex (<italic>r</italic> = −0.48, <italic>p</italic> = 0.032), and accuracy rate demonstrated a positive correlation with the right default mode network (<italic>r</italic> = 0.573, <italic>p</italic> = 0.008).</p><p><bold>Conclusions:</bold> The longFCD and shortFCD analysis might be potential indicator biomarkers to locate the underlying altered intrinsic brain functional organization disturbed by SD. SD sustains the cognitive performance by the decreased high-order cognition related areas and the arousal and sensorimotor related areas.</p>