Diurnal variations of resting-state fMRI data : a graph-based analysis

doi:10.1016/j.neuroimage.2022.119246

Diurnal variations of resting-state fMRI data : a graph-based analysis

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Diurnal variations of resting-state fMRI data : a graph-based analysis

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Bibliographic description

punktacja MEiN [2022]: 200

title:	Diurnal variations of resting-state fMRI data : a graph-based analysis
author:	Farahani Farzad V., Karwowski Waldemar, D'Esposito Mark, Betzel Richard F., Douglas Pamela K., Sobczak Anna , Bohaterewicz Bartosz , Marek Tadeusz , Fąfrowicz Magdalena
journal title:	NeuroImage
volume:	256
date of publication :	2022
article ID:	119246
ISSN:	1053-8119
eISSN:	1095-9572
DOI:	10.1016/j.neuroimage.2022.119246
URL:	https://www.sciencedirect.com/science/article/pii/S1053811922003706
date accessed:	2023-02-07
notes:	Bibliogr. s. 22-25
language:	English
journal language:	English
abstract in English:	Circadian rhythms (lasting approximately 24 h) control and entrain various physiological processes, ranging from neural activity and hormone secretion to sleep cycles and eating habits. Several studies have shown that time of day (TOD) is associated with human cognition and brain functions. In this study, utilizing a chronotype-based paradigm, we applied a graph theory approach on resting-state functional MRI (rs-fMRI) data to compare whole-brain functional network topology between morning and evening sessions and between morning-type (MT) and evening-type (ET) participants. Sixty-two individuals (31 MT and 31 ET) underwent two fMRI sessions, approximately 1 hour (morning) and 10 h (evening) after their wake-up time, according to their declared habitual sleep-wake pattern on a regular working day. In the global analysis, the findings revealed the effect of TOD on functional connectivity (FC) patterns, including increased small-worldness, assortativity, and synchronization across the day. However, we identified no significant differences based on chronotype categories. The study of the modular structure of the brain at mesoscale showed that functional networks tended to be more integrated with one another in the evening session than in the morning session. Local/regional changes were affected by both factors (i.e., TOD and chronotype), mostly in areas associated with somatomotor, attention, frontoparietal, and default networks. Furthermore, connectivity and hub analyses revealed that the somatomotor, ventral attention, and visual networks covered the most highly connected areas in the morning and evening sessions: the latter two were more active in the morning sessions, and the first was identified as being more active in the evening. Finally, we performed a correlation analysis to determine whether global and nodal measures were associated with subjective assessments across participants. Collectively, these findings contribute to an increased understanding of diurnal fluctuations in resting brain activity and highlight the role of TOD in future studies on brain function and the design of fMRI experiments.
keywords in English:	functional connectivity, resting-state fMRI, graph theory, network analysis, circadian rhythm, chronotype, brain networks
number of pulisher's sheets:	3,3
affiliation:	Wydział Zarządzania i Komunikacji Społecznej : Instytut Psychologii Stosowanej, Szkoła Doktorska Nauk Społecznych
type:	journal article
subtype:	academic paper