Identifying Diurnal Variability of Brain Connectivity Patterns Using Graph Theory

Brain Sciences

Farzad V. Farahani¹  Waldemar Karwowski¹  Barbara Sikora-Wachowicz²  Magdalena Fafrowicz²  Aleksandra Zyrkowska²  Anna Maria Sobczak²  Anna Beres²  Tadeusz Marek²  Anna Ceglarek²  Halszka Oginska²  Bartosz Bohaterewicz²  Koryna Lewandowska²  Magdalena Hubalewska-Mazgaj³  Monika Ostrogorska⁴ 

[1] Computational Neuroergonomics Laboratory, Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32816, USA;Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, 31-007 Kraków, Poland;Department of Drug Addiction Pharmacology, Maj Institute of Pharmacology, Polish Academy of Sciences, 01-224 Kraków, Poland;Medical College, Jagiellonian University, 31-007 Kraków, Poland;

关键词: brain connectivity;    resting-state fMRI;    circadian rhythm;    chronotypes;    graph theory;   

DOI  :  10.3390/brainsci11010111

来源: DOAJ

【 摘 要 】

Significant differences exist in human brain functions affected by time of day and by people’s diurnal preferences (chronotypes) that are rarely considered in brain studies. In the current study, using network neuroscience and resting-state functional MRI (rs-fMRI) data, we examined the effect of both time of day and the individual’s chronotype on whole-brain network organization. In this regard, 62 participants (39 women; mean age: 23.97 ± 3.26 years; half morning- versus half evening-type) were scanned about 1 and 10 h after wake-up time for morning and evening sessions, respectively. We found evidence for a time-of-day effect on connectivity profiles but not for the effect of chronotype. Compared with the morning session, we found relatively higher small-worldness (an index that represents more efficient network organization) in the evening session, which suggests the dominance of sleep inertia over the circadian and homeostatic processes in the first hours after waking. Furthermore, local graph measures were changed, predominantly across the left hemisphere, in areas such as the precentral gyrus, putamen, inferior frontal gyrus (orbital part), inferior temporal gyrus, as well as the bilateral cerebellum. These findings show the variability of the functional neural network architecture during the day and improve our understanding of the role of time of day in resting-state functional networks.

【 授权许可】

Unknown