scholarly journals Effect of jet lag on brain white matter functional connectivity

2021 ◽  
Vol 1 (2) ◽  
pp. 55-65
Author(s):  
Feifei Zhang ◽  
Zhipeng Yang ◽  
Kun Qin ◽  
John A Sweeney ◽  
Neil Roberts ◽  
...  
Keyword(s):  
White Matter ◽  
Functional Connectivity ◽  
Complex Problem ◽  
Jet Lag ◽  
Sensorimotor Network ◽  
Brain White Matter ◽  
Window Method ◽  
Time Zones ◽  
Circadian Rhythm Sleep Disorder ◽  
Sliding Window Method

Abstract Background A long-haul flight across more than five time zones may produce a circadian rhythm sleep disorder known as jet lag. Little is known about the effect of jet lag on white matter (WM) functional connectivity (FC). Objective The present study is to investigate changes in WM FC in subjects due to recovery from jet lag after flying across six time zones. Methods Here, resting-state functional magnetic resonance imaging was performed in 23 participants within 24 hours of flying and again 50 days later. Gray matter (GM) and WM networks were identified by k-means clustering. WM FC and functional covariance connectivity (FCC) were analyzed. Next, a sliding window method was used to establish dynamic WM FC. WM static and dynamic FC and FCC were compared between when participants had initially completed their journey and 50 days later. Emotion was assessed using the Positive and Negative Affect Schedule and the State Anxiety Inventory. Results All participants were confirmed to have jet lag symptoms by the Columbian Jet Lag Scale. The static FC strengthes of cingulate network (WM7)- sensorimotor network and ventral frontal network- visual network were lower after the long-haul flight compared with recovery. Corresponding results were obtained for the dynamic FC analysis. The analysis of FCC revealed weakened connections between the WM7 and several other brain networks, especially the precentral/postcentral network. Moreover, a negative correlation was found between emotion scores and the FC between the WM7 and sensorimotor related regions. Conclusions The results of this study provide further evidence for the existence of WM networks and show that jet lag is associated with alterations in static and dynamic WM FC and FCC, especially in sensorimotor networks. Jet lag is a complex problem that not only is related to sleep rhythm but also influences emotion.

Effect of Jet Lag on Brain White Matter Functional Connectivity

2020 ◽  
Author(s):  
Feifei Zhang ◽  
Zhipeng Yang ◽  
Kun Qin ◽  
John A. Sweeney ◽  
Neil Roberts ◽  
...  
Keyword(s):  
White Matter ◽  
Functional Connectivity ◽  
Jet Lag ◽  
Brain White Matter

Effects of polygenic risk of schizophrenia on interhemispheric callosal white matter integrity and frontotemporal functional connectivity in first-episode schizophrenia

2022 ◽  
pp. 1-10
Author(s):  
Wenjun Su ◽  
Aihua Yuan ◽  
Yingying Tang ◽  
Lihua Xu ◽  
Yanyan Wei ◽  
...  
Keyword(s):  
White Matter ◽  
Functional Connectivity ◽  
White Matter Integrity ◽  
First Episode ◽  
Polygenic Risk Score ◽  
Polygenic Inheritance ◽  
Polygenic Risk ◽  
Corona Radiata ◽  
Brain White Matter ◽  
First Episode Schizophrenia

Abstract Background Schizophrenia is a severely debilitating psychiatric disorder with high heritability and polygenic architecture. A higher polygenic risk score for schizophrenia (SzPRS) has been associated with smaller gray matter volume, lower activation, and decreased functional connectivity (FC). However, the effect of polygenic inheritance on the brain white matter microstructure has only been sparsely reported. Methods Eighty-four patients with first-episode schizophrenia (FES) patients and ninety-three healthy controls (HC) with genetics, diffusion tensor imaging (DTI), and resting-state functional magnetic resonance imaging (rs-fMRI) data were included in our study. We investigated impaired white matter integrity as measured by fractional anisotropy (FA) in the FES group, further examined the effect of SzPRS on white matter FA and FC in the regions connected by SzPRS-related white matter tracts. Results Decreased FA was observed in FES in many commonly identified regions. Among these regions, we observed that in the FES group, but not the HC group, SzPRS was negatively associated with the mean FA in the genu and body of corpus callosum, right anterior corona radiata, and right superior corona radiata. Higher SzPRS was also associated with lower FCs between the left inferior frontal gyrus (IFG)–left inferior temporal gyrus (ITG), right IFG–left ITG, right IFG–left middle frontal gyrus (MFG), and right IFG–right MFG in the FES group. Conclusion Higher polygenic risks are linked with disrupted white matter integrity and FC in patients with schizophrenia. These correlations are strongly driven by the interhemispheric callosal fibers and the connections between frontotemporal regions.

scholarly journals 3046 Reduced structural and functional connectivity in infants with prenatal opioid exposure

2019 ◽  
Vol 3 (s1) ◽  
pp. 52-52
Author(s):  
Stephanie Merhar ◽  
Adebayo Braimah ◽  
Traci Beiersdorfer ◽  
Brenda Poindexter ◽  
Nehal Parikh
Keyword(s):  
White Matter ◽  
Functional Connectivity ◽  
Fractional Anisotropy ◽  
Behavioral Problems ◽  
Resting State ◽  
Maternal Education ◽  
Structural Connectivity ◽  
Resting State Functional Connectivity ◽  
Small Pilot Study ◽  
Sensorimotor Network

OBJECTIVES/SPECIFIC AIMS:. This study aims to understand the effects of prenatal opioid exposure on structural and functional connectivity in the neonatal brain. Our central hypothesis is that infants with prenatal opioid exposure will have decreased structural and functional connectivity as compared to non-exposed controls. Our overarching goal is to improve neurodevelopmental and behavioral outcomes in infants with prenatal opioid exposure. METHODS/STUDY POPULATION:. Infants with prenatal opioid exposure were recruited from 2 birth hospitals in our area. Control infants were recruited from the larger community. Infants underwent MRI between 4-6 weeks of age in the Cincinnati Children’s Hospital Imaging Research Center. MRI sequences included 3D structural T1 and T2-weighted imaging, resting state functional connectivity MRI, and multi-shell DTI (36 directions at b=800 and 68 directions at b=2000). Tract-based spatial statistics (TBSS) was used to identify differences in fractional anisotropy (a measure of white matter integrity) between groups. Group independent component analysis was used to identify differences in resting-state networks between groups RESULTS/ANTICIPATED RESULTS:. There were 5 subjects enrolled in the study with evaluable imaging, 3 infants with prenatal opioid exposure and 2 unexposed controls. Structural MRI was normal in all cases. Infants with prenatal opioid exposure had reduced structural connectivity as measured by fractional anisotropy (FA) in the genu and splenium of the corpus callosum as compared with controls. The orange/red color represents areas in which the FA of the opioid-exposed group was lower than controls and green represents the white matter skeleton common to both groups. Infants with prenatal opioid exposure also had significantly reduced within-network functional connectivity strength (z-transformed partial correlation coefficient 0.358 vs 0.199, p = 0.03) in the sensorimotor network as compared with controls. DISCUSSION/SIGNIFICANCE OF IMPACT:. In this small pilot study, both structural and functional connectivity were reduced in opioid-exposed infants compared with controls. This data suggests that differences in structural and functional connectivity may underlie the later developmental and behavioral problems seen in opioid-exposed children. These findings must be validated in a larger population with correction for confounding factors such as maternal education

Effects of motion related outliers in dynamic functional connectivity using the sliding window method

2020 ◽  
Vol 330 ◽  
pp. 108519 ◽  
Author(s):  
Antonis D. Savva ◽  
Michalis Kassinopoulos ◽  
Nikolaos Smyrnis ◽  
George K. Matsopoulos ◽  
Georgios D. Mitsis
Keyword(s):  
Functional Connectivity ◽  
Sliding Window ◽  
Dynamic Functional Connectivity ◽  
Window Method ◽  
Sliding Window Method

scholarly journals Dynamic Brain Connectivity Patterns in Conscious and Unconscious Brain

2016 ◽  
Author(s):  
Yuncong Ma ◽  
Christina Hamilton ◽  
Nanyin Zhang
Keyword(s):  
Functional Connectivity ◽  
Brain Connectivity ◽  
Dynamic Changes ◽  
Whole Brain ◽  
Behavioral Level ◽  
States Of Consciousness ◽  
Window Method ◽  
Connectivity Patterns ◽  
Sliding Window Method ◽  
Brain Functional Connectivity

AbstractBrain functional connectivity undergoes dynamic changes from the awake to unconscious states. However, how the dynamics of functional connectivity patterns are linked to consciousness at the behavioral level remains elusive. Here we acquired resting-state functional magnetic resonance imaging (rsfMRI) data during wakefulness and graded levels of consciousness in rats. Data were analyzed using a dynamic approach combining the sliding-window method and k-means clustering. Our results demonstrate that whole-brain networks contain several quasi-stable patterns that dynamically recurred from the awake state into anesthetized states. Remarkably, two brain connectivity states with distinct spatial similarity to the structure of anatomical connectivity were strongly biased toward high and low consciousness levels, respectively. These results provide compelling neuroimaging evidence linking the dynamics of whole-brain functional connectivity patterns and states of consciousness at the behavioral level.Conflict of interestnone.

26. Neuroradiology: Head and Neck, Brain White Matter Imaging

2006 ◽  
Vol 186 (4_supplement) ◽  
pp. A66-A69
Keyword(s):  
White Matter ◽  
Head And Neck ◽  
Brain White Matter
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