scholarly journals Cognitive vulnerability to sleep deprivation is robustly associated with two dynamic connectivity states

2019 ◽  
Author(s):  
James Teng ◽  
Ju Lynn Ong ◽  
Amiya Patanaik ◽  
Jesisca Tandi ◽  
Juan Helen Zhou ◽  
...  
Keyword(s):  
Sleep Deprivation ◽  
Resting State ◽  
Cognitive Vulnerability ◽  
Resting State Fmri ◽  
Good Evidence ◽  
Psychomotor Vigilance Test ◽  
Single Night ◽  
Highly Correlated ◽  
Window Approach ◽  
Dynamic Connectivity

AbstractRobustly linking dynamic functional connectivity (DFC) states to behaviour is an important goal of the fledgling research using these methods. Previously, using a sliding window approach, we identified two dynamic connectivity states (DCS) linked to arousal. Here, in an independent dataset, 32 healthy participants underwent two sets of resting-state functional magnetic resonance imaging (fMRI) scans, once in a well-rested state and once after a single night of total sleep deprivation. Using a temporal differencing method, DFC and clustering analysis on the resting state fMRI data revealed five centroids that were highly correlated with those found in previous work, including the two states associated with high and low arousal. Individual differences in cognitive vulnerability to sleep deprivation were measured using changes in Psychomotor Vigilance Test (PVT) performance (lapses and median reaction speed), Changes in the percentage of time spent in the arousal states from the well-rested to the sleep-deprived condition specifically were correlated with declines in PVT performance. Our results provide good evidence of the validity and reproducibility of DFC measures, particularly with regard to measuring arousal and attention, and are an encouraging base from which to build a chronnectome mapping DCS to cognition.

scholarly journals 0143 Vigilance Declines Following Sleep Deprivation are Associated with Two Previously Identified Dynamic Connectivity States

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A56-A57
Author(s):  
J Teng ◽  
J Ong ◽  
A Patanaik ◽  
J Zhou ◽  
M Chee ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Sleep Deprivation ◽  
Sustained Attention ◽  
Resting State ◽  
Resting State Fmri ◽  
Fmri Data ◽  
Dynamic Functional Connectivity ◽  
Arousal State ◽  
Total Sleep Deprivation ◽  
Dynamic Connectivity

Abstract Introduction Dynamic functional connectivity (DFC) analysis of resting-state fMRI data has been successfully used to track fluctuations in arousal in the human brain. Changes in DFC have also been reported with acute sleep deprivation. Here, we demonstrate that dynamic connectivity states (DCS) previously related to arousal are reproducible, and are associated with individual differences in sustained attention declines after one night of total sleep deprivation. Methods 32 participants underwent two counterbalanced resting-state fMRI scans: during rested wakefulness (RW) and following total sleep deprivation (SD). They also completed the Psychomotor Vigilance Test (PVT), a sustained attention task that is highly sensitive to the effects of sleep loss. SD vulnerability was computed as the decrease in response speed (∆RS) and increase in lapses (∆lapse) in SD compared with RW. Dynamic functional connectivity analysis was conducted on rs-fMRI data. Connectivity matrices were clustered to obtain 5 prototypical DCS. We calculated the proportion of time participants spent in each of these DCS, as well as how often participants transitioned between DCSs. Relationships between SD vulnerability and connectivity metrics were then correlated. Results We recovered two DCS that were highly similar (ρ = .89-.91) to arousal-related DCS observed in previous work (high arousal state (HAS); low arousal state (LAS)). After sleep deprivation, the proportion of time spent in the LAS increased significantly (t29=3.16, p=.0039), while there was no significant change in HAS (t29=-1.43, p=.16). We observed significantly more state transitions in RW compared with SD. Change in LAS and HAS across sleep conditions correlated significantly with SD vulnerability (ΔLASxΔRS: r=-0.64, p<.0001; ΔLASxΔlapse: r=0.43, p=.018; ΔHASxΔRS; r=0.43, p=.019; ΔHASxΔlapse; r=-0.39, p=.033). Finally, Δ%transitions was correlated with ΔRS but not Δlapse. Conclusion This study adds to the evidence that two specific reproducible DCS are robust markers of arousal and attention, and may be useful indicators of SD vulnerability. Support This work was supported by the National Medical Research Council, Singapore (STaR/0015/2013), and the National Research Foundation Science of Learning (NRF2016-SOL002-001).

Improved estimation of dynamic connectivity from resting-state fMRI data

2019 ◽  
Author(s):  
Biao Cai ◽  
Julia M. Stephen ◽  
Tony W. Wilson ◽  
Vince D. Calhoun ◽  
Yu-ping Wang
Keyword(s):  
Resting State ◽  
Resting State Fmri ◽  
Fmri Data ◽  
Dynamic Connectivity

Gender differences in brain regional homogeneity of healthy subjects after normal sleep and after sleep deprivation: A resting-state fMRI study

2012 ◽  
Vol 13 (6) ◽  
pp. 720-727 ◽  
Author(s):  
Xi-Jian Dai ◽  
Hong-Han Gong ◽  
Yi-Xiang Wang ◽  
Fu-Qing Zhou ◽  
You-Jiang Min ◽  
...  
Keyword(s):  
Gender Differences ◽  
Sleep Deprivation ◽  
Resting State ◽  
Healthy Subjects ◽  
Resting State Fmri ◽  
Regional Homogeneity ◽  
Fmri Study ◽  
Normal Sleep

scholarly journals Resting state connectivity during total sleep deprivation: A functional magnetic resonance study

2020 ◽  
Author(s):  
Vivianne Jakobsson
Keyword(s):  
Magnetic Resonance ◽  
Sleep Deprivation ◽  
Resting State ◽  
Resting State Fmri ◽  
Head Motion ◽  
Functional Magnetic Resonance ◽  
Global Signal ◽  
Significant Difference ◽  
Before And After ◽  
Eyes Open

Introduction: Sleep deprivation is a common problem that may have serious consequences. In this study, functional magnetic resonance imaging (fMRI), a technique frequently used to study networks in the brain, was used to investigate the resting state of the sleep deprived brain, in order to discover whether this state affects the intrinsic connectivity and the global signal variability (GSV). Aims: To investigate whether GSV increases with sleep deprivation. Material and Methods: In this cross over study 18 healthy participants, age 20 – 30, underwent in randomized order resting-state fMRI for 20min before and after 24h sleep deprivation. We extracted the global signal, calculated the standard deviation per participant, and analysed it with respect to sleep depraved yes/no, head motion, eyes open/closed and self-evaluation of sleepiness using Karolinska Sleepiness Score (KSS). Results: We found that GSV was higher during sleep deprivation (0.3362 ± 0.0241, p<0.0001) without KSS data. With KSS, sleep deprivation was not significant (0.0619 ± 0.1145, p=0.5889). High KSS rating had a significant effect on GSV (0.1497 ± 0.0409, p=0.0003), as had head motion (1.7974 ± 0.1539, p<0.0001). There was no significant difference between having eyes open or closed (0.0126 ± 0.0578, p=0.8278), and no significant increase for each time period of 20s in the scanner (0.0065 ± 0.0021, p=0.0029). Conclusions: We found that the global signal variation is increased by sleep deprivation and sleepiness. More specific conclusions cannot be made from our data so far.

scholarly journals Functional connectivity in mild cognitive impairment with Lewy bodies

2021 ◽  
Author(s):  
Julia Schumacher ◽  
John-Paul Taylor ◽  
Calum A. Hamilton ◽  
Michael Firbank ◽  
Paul C. Donaghy ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Functional Connectivity ◽  
Resting State ◽  
Brain Function ◽  
Lewy Bodies ◽  
Sliding Window ◽  
Resting State Fmri ◽  
Approaches To Study ◽  
Dynamic Connectivity

AbstractPrevious resting-state fMRI studies in dementia with Lewy bodies have described changes in functional connectivity in networks related to cognition, motor function, and attention as well as alterations in connectivity dynamics. However, whether these changes occur early in the course of the disease and are already evident at the stage of mild cognitive impairment is not clear. We studied resting-state fMRI data from 31 patients with mild cognitive impairment with Lewy bodies compared to 28 patients with mild cognitive impairment due to Alzheimer’s disease and 24 age-matched controls. We compared the groups with respect to within- and between-network functional connectivity. Additionally, we applied two different approaches to study dynamic functional connectivity (sliding-window analysis and leading eigenvector dynamic analysis). We did not find any significant changes in the mild cognitive impairment groups compared to controls and no differences between the two mild cognitive impairment groups, using static as well as dynamic connectivity measures. While patients with mild cognitive impairment with Lewy bodies already show clear functional abnormalities on EEG measures, the fMRI analyses presented here do not appear to be sensitive enough to detect such early and subtle changes in brain function in these patients.

A GICA-TVGL framework to study sex differences in resting state fMRI dynamic connectivity

2020 ◽  
Vol 332 ◽  
pp. 108531 ◽  
Author(s):  
Biao Cai ◽  
Gemeng Zhang ◽  
Aiying Zhang ◽  
Wenxing Hu ◽  
Julia M. Stephen ◽  
...  
Keyword(s):  
Sex Differences ◽  
Resting State ◽  
Resting State Fmri ◽  
Dynamic Connectivity
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