Functional connectivity reveals altered activation of distinct brain areas in pruritus of cholestasis

2018 ◽  
Vol 56 (01) ◽  
pp. E2-E89
Author(s):  
A Kremer ◽  
T Buchwald ◽  
M Vetter ◽  
A Dörfler ◽  
C Forster
Keyword(s):  
Functional Connectivity ◽  
Brain Areas

Engaging regularly with fiction influences connectivity in cortical areas for language and mentalizing

2017 ◽  
Author(s):  
Roel M. Willems ◽  
Franziska Hartung
Keyword(s):  
Functional Connectivity ◽  
Time Course ◽  
Language Skills ◽  
Brain Regions ◽  
Brain Areas ◽  
Daily Lives ◽  
Cortical Areas ◽  
Social Abilities ◽  
Behavioral Evidence ◽  
Amount Of Reading

Behavioral evidence suggests that engaging with fiction is positively correlated with social abilities. The rationale behind this link is that engaging with fictional narratives offers a ‘training modus’ for mentalizing and empathizing. We investigated the influence of the amount of reading that participants report doing in their daily lives, on connections between brain areas while they listened to literary narratives. Participants (N=57) listened to two literary narratives while brain activation was measured with fMRI. We computed time-course correlations between brain regions, and compared the correlation values from listening to narratives to listening to reversed speech. The between-region correlations were then related to the amount of fiction that participants read in their daily lives. Our results show that amount of fiction reading is related to functional connectivity in areas known to be involved in language and mentalizing. This suggests that reading fiction influences social cognition as well as language skills.

scholarly journals Functional connectivity of fMRI using differential covariance predicts structural connectivity and behavioral reaction times

2021 ◽  
Author(s):  
Yusi Chen ◽  
Qasim Bukhari ◽  
Tiger Wutu Lin ◽  
Terrence J Sejnowski
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Functional Connectivity ◽  
Resting State ◽  
Structural Connectivity ◽  
Reaction Times ◽  
Resonance Imaging ◽  
Brain Areas ◽  
Human Connectome Project ◽  
Wide Range

Recordings from resting state functional magnetic resonance imaging (rs-fMRI) reflect the influence of pathways between brain areas. A wide range of methods have been proposed to measure this functional connectivity (FC), but the lack of ''ground truth'' has made it difficult to systematically validate them. Most measures of FC produce connectivity estimates that are symmetrical between brain areas. Differential covariance (dCov) is an algorithm for analyzing FC with directed graph edges. Applied to synthetic datasets, dCov-FC was more effective than covariance and partial correlation in reducing false positive connections and more accurately matching the underlying structural connectivity. When we applied dCov-FC to resting state fMRI recordings from the human connectome project (HCP) and anesthetized mice, dCov-FC accurately identified strong cortical connections from diffusion Magnetic Resonance Imaging (dMRI) in individual humans and viral tract tracing in mice. In addition, those HCP subjects whose rs-fMRI were more integrated, as assessed by a graph-theoretic measure, tended to have shorter reaction times in several behavioral tests. Thus, dCov-FC was able to identify anatomically verified connectivity that yielded measures of brain integration causally related to behavior.

scholarly journals Electronic-Sports Experience Related to Functional Enhancement in Central Executive and Default Mode Areas

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Diankun Gong ◽  
Weiyi Ma ◽  
Tiejun Liu ◽  
Yuening Yan ◽  
Dezhong Yao
Keyword(s):  
Functional Connectivity ◽  
Video Game ◽  
Brain Plasticity ◽  
Functional Integration ◽  
Central Executive ◽  
Brain Areas ◽  
Default Mode ◽  
Lower Ranking ◽  
Local Functional ◽  
The Relationship

Electronic-sports (e-sports) is a form of organized, online, multiplayer video game competition, which requires both action skills and the ability and process of forming and adapting a strategy (referred to as strategization hereafter) to achieve goals. Over the past few decades, research has shown that video gaming experience has an important impact on the plasticity of the sensorimotor, attentional, and executive brain areas. However, little research has examined the relationship between e-sports experience and the plasticity of brain networks that are related to strategization. Using resting-state fMRI data and the local functional connectivity density (lFCD) analysis, this study investigated the relationship between e-sports experience (League of Legends [LOL] in this study) and brain plasticity by comparing between top-ranking LOL players and lower-ranking (yet experienced) LOL players. Results showed that the top-ranking LOL players had superior local functional integration in the executive areas compared to lower-ranking players. Furthermore, the top-ranking players had higher lFCD in the default mode areas, which have been found related to various subprocesses (e.g., memory and planning) essential for strategization. Finally, the top-ranking players’ lFCD was related to their LOL expertise rank level, as indicated by a comprehensive score assigned by the gaming software based on players’ gaming experience and expertise. Thus, the result showed that the local functional connectivity in central executive and default mode brain areas was enhanced in the top-ranking e-sports players, suggesting that e-sports experience is related to the plasticity of the central executive and default mode areas.

scholarly journals Sex Difference in Language Processing in Patients With Malignant Brain Tumors

Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Shun Yao ◽  
Einat Liebenthal ◽  
Parikshit Juvekar ◽  
Adomas Bunevicius ◽  
Matthew Vera ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Brain Tumors ◽  
Language Processing ◽  
Resting State ◽  
Precentral Gyrus ◽  
Language Function ◽  
Brain Areas ◽  
Brain Organization ◽  
Malignant Brain Tumors ◽  
Parietal Lobule

Abstract INTRODUCTION Numerous differences between males and females in brain organization have been described including in the development, performance, and lateralization of language function. However, there is very limited knowledge of whether language processing differs across sex in patients with brain lesions. In particular, malignant brain tumors (MBT) demonstrate significant sex differences in incidence and long-term survival. Given the importance of brain organization and planning surgical treatment for patients with brain tumors, we investigated the effect of sex on the organization of language in a cohort of patients with MBT. METHODS In the current study, we carried out a retrospective analysis in 47 patients with MBT (22 females, 25 males), retrieving their clinical characteristics and task-based and resting-state functional magnetic resonance image (fMRI) data from our clinical database. General Linear Model (GLM) and region-of-interest (ROI) based resting-state functional connectivity (RSFC) analyses were applied to explore the effect of sex on language tasks associated activations and functional connectivity. RESULTS Across the Sentence Completion task and Antonym Generation task, female patients showed greater activation volumes in the left inferior frontal gyrus, right precuneus, and left superior parietal lobule, while male patients showed larger clusters of activation of the left supplemental motor area (SMA), left inferior parietal lobule (IPL), left precuneus, bilateral precentral gyrus, and right supramarginal gyrus (SMG). Furthermore, the left SMA was a highly sex-specific brain area during the language performance, and it showed stronger resting-state correlations with brain areas within the intrinsic language network in females, while it showed stronger resting-state connections with brain areas involving the visuomotor/higher level cognitive functions in males. CONCLUSION These findings enhance our understanding of the role of sex in language organization in patients with MBT, helping neurosurgeons assess surgical risk and plan surgery in patients with MBT to best preserve language function.

scholarly journals 0761 Independent Components Analysis And Graph Theoretical Analysis In Patients With Narcolepsy

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A289-A289
Author(s):  
F Xiao ◽  
L Zhao ◽  
F Han
Keyword(s):  
Functional Connectivity ◽  
Partial Correlation ◽  
Sleep Latency ◽  
Small World ◽  
Anterior Cingulate ◽  
Healthy Controls ◽  
Topological Properties ◽  
Partial Correlation Analysis ◽  
Brain Areas ◽  
Independent Components

Abstract Introduction To evaluate resting state functional connectivity and topological properties of brain network in narcolepsy compared with healthy controls. Methods Resting state fMRI was performed in 26 adult narcolepsy patients and 30 matched healthy controls. MRI data was first analyzed by group independent component analysis, then a graph theoretical method was applied to evaluate topological properties within whole brain. Small-world network parameters and nodal topological properties were measured. Altered topological properties in brain areas between groups were selected as ROI-seeds, then functional connectivity among these ROI-seeds were compared between groups. Partial correlation analysis was performed to evaluate the relationship between sleepiness severity and functional connectivity or topological properties in the narcolepsy. Results 21 independent components out of 48 components were obtained. Compared with healthy controls, narcolepsy exhibited a significant decreased functional connectivity within the executive and salience network, while increased functional connectivity in bilateral frontal lobe within executive network can be detected in narcolepsy. There were no differences in small-world network properties between narcolepsy and healthy controls. The altered brain areas in nodal topological properties were mainly located in inferior frontal cortex, basal ganglia, anterior cingulate, sensory cortex, supplementary motor cortex and visual cortex between groups. In the partial correlation analysis, nodal topological properties in putamen, anterior cingulate and sensory cortex as well as functional connectivity between these brain regions were correlated with the severity of sleepiness (sleep latency, REM sleep latency and ESS) among narcolepsy. Conclusion Altered connectivity within executive network and salience network were found in narcolepsy. Functional connection changes between left frontal cortex and left caudate nucleus may be one of the parameters describing the severity of narcolepsy. Nodal topological properties alterations in left putamen and left posterior cingulate, changes in functional connectivity between left supplementary motor area and right occipital as well as changes in functional connectivity between left anterior cingulate gyrus and bilateral postcentral gyrus can be considered to be a specific indicator for evaluating the severity of narcolepsy. Support National Natural Science Foundation of China (81700088)National Program on Key Basic Research Project of China (973 Program, 2015CB856405)

scholarly journals Neural correlates of prenatal stress in young women

2015 ◽  
Vol 45 (12) ◽  
pp. 2533-2543 ◽  
Author(s):  
A. Favaro ◽  
E. Tenconi ◽  
D. Degortes ◽  
R. Manara ◽  
P. Santonastaso
Keyword(s):  
Depressive Symptoms ◽  
Functional Connectivity ◽  
Young Women ◽  
Gray Matter ◽  
Prenatal Stress ◽  
Gray Matter Volume ◽  
Neural Correlates ◽  
Brain Areas ◽  
Matter Volume ◽  
Postnatal Stress

BackgroundPrenatal stress is hypothesized to have a disruptive impact on neurodevelopmental trajectories, but few human studies have been conducted on the long-term neural correlates of prenatal exposure to stress. The aim of this study was to explore the relationship between prenatal stress exposure and gray-matter volume and resting-state functional connectivity in a sample of 35 healthy women aged 14–40 years.MethodVoxel-based morphometry and functional connectivity analyses were performed on the whole brain and in specific regions of interest (hippocampus and amygdala). Data about prenatal/postnatal stress and obstetric complications were obtained by interviewing participants and their mothers, and reviewing obstetric records.ResultsHigher prenatal stress was associated with decreased gray-matter volume in the left medial temporal lobe (MTL) and both amygdalae, but not the hippocampus. Variance in gray-matter volume of these brain areas significantly correlated with depressive symptoms, after statistically adjusting for the effects of age, postnatal stress and obstetric complications. Prenatal stress showed a positive linear relationship with functional connectivity between the left MTL and the pregenual cortex. Moreover, connectivity between the left MTL and the left medial-orbitofrontal cortex partially explained variance in the depressive symptoms of offspring.ConclusionsIn young women, exposure to prenatal stress showed a relationship with the morphometry and functional connectivity of brain areas involved in the pathophysiology of depressive disorders. These data provide evidence in favor of the hypothesis that early exposure to stress affects brain development and identified the MTL and amygdalae as possible targets of such exposure.

scholarly journals The Interaction of Child Abuse and rs1360780 of the FKBP5 Gene is Associated with Amygdala Resting-State Functional Connectivity in Young Adults

2020 ◽  
Author(s):  
Christiane Wesarg ◽  
Ilya M. Veer ◽  
Nicole Y. L. Oei ◽  
Laura S. Daedelow ◽  
Tristram A. Lett ◽  
...  
Keyword(s):  
Child Abuse ◽  
Functional Connectivity ◽  
Resting State ◽  
Life Stress ◽  
Salience Network ◽  
Resting State Functional Connectivity ◽  
Brain Areas ◽  
Functional Changes ◽  
Intermediate Phenotypes ◽  
History Of

AbstractExtensive research has demonstrated that rs1360780, a common single nucleotide polymorphism within the FKBP5 gene, interacts with early-life stress in predicting psychopathology. Previous results suggest that carriers of the TT genotype of rs1360780 who were exposed to child abuse show differences in structure and functional activation of emotion-processing brain areas belonging to the salience network. Extending these findings on intermediate phenotypes of psychopathology, we examined if the interaction between rs1360780 and child abuse predicts resting-state functional connectivity (rsFC) between the amygdala and other areas of the salience network. We analyzed data of young European adults from the general population (N = 774; mean age = 18.76 years) who took part in the IMAGEN study. In the absence of main effects of genotype and abuse, a significant interaction effect was observed for rsFC between the right centromedial amygdala and right posterior insula (p < .025, FWE-corrected), which was driven by stronger rsFC in TT allele carriers with a history of abuse. Our results suggest that the TT genotype of rs1360780 may render individuals with a history of abuse more vulnerable to functional changes in communication between brain areas processing emotions and bodily sensations, which could underlie or increase risk for psychopathology.

scholarly journals 40-Hz Blue Light Changes Hippocampal Activation and Functional Connectivity Underlying Recognition Memory

2021 ◽  
Vol 15 ◽  
Author(s):  
Zhenglong Lin ◽  
Gangqiang Hou ◽  
Youli Yao ◽  
Zhifeng Zhou ◽  
Feiqi Zhu ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Recognition Memory ◽  
Blue Light ◽  
Cognitive Functions ◽  
Light Exposure ◽  
Brain Activation ◽  
Brain Areas ◽  
Functional Connection ◽  
Seed Point ◽  
40 Hz

Research on light modulation has typically examined the wavelength, intensity, and exposure time of light, and measured rhythm, sleep, and cognitive ability to evaluate the regulatory effects of light variables on physiological and cognitive functions. Although the frequency of light is one of the main dimensions of light, few studies have attempted to manipulate it to test the effect on brain activation and performance. Recently, 40-Hz light stimulation has been proven to significantly alleviate deficits in gamma oscillation of the hippocampus caused by Alzheimer’s disease. Although this oscillation is one of the key functional characteristics of performing memory tasks in healthy people, there is no evidence that 40-Hz blue light exposure can effectively regulate brain activities related to complex cognitive tasks. In the current study, we examined the difference in the effects of 40-Hz light or 0-Hz light exposure on brain activation and functional connectivity during a recognition memory task. Through joint augmentation of visual area activation, 40-Hz light enhanced brain areas mostly in the limbic system that are related to memory, such as the hippocampus and thalamus. Conversely, 0-Hz light enhanced brain areas mostly in the prefrontal cortex. Additionally, functional connection analysis, with the hippocampus as the seed point, showed that 40-Hz light enhanced connection with the superior parietal lobe and reduced the connection with the default network. These results indicate that light at a frequency of 40 Hz can change the activity and functional connection of memory-related core brain areas. They also indicate that in the use of light to regulate cognitive functions, its frequency characteristics merit attention.

Healthy and Pathological Neurocognitive Aging: Spectral and Functional Connectivity Analyses Using Magnetoencephalography

2019 ◽  
Author(s):  
Gianluca Susi ◽  
Jaisalmer de Frutos-Lucas ◽  
Guiomar Niso ◽  
Su Miao Ye-Chen ◽  
Luis Antón Toro ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Aging Process ◽  
Healthy Aging ◽  
Oscillatory Activity ◽  
Good Resolution ◽  
Brain Areas ◽  
Spectral Content ◽  
Pathological Conditions ◽  
Neurocognitive Aging ◽  
Invasive Techniques

Oscillatory activity present in brain signals reflects the underlying time-varying electrical discharges within and between ensembles of neurons. Among the variety of non-invasive techniques available for measuring of the brain’s oscillatory activity, magnetoencephalography (MEG) presents a remarkable combination of spatial and temporal resolution, and can be used in resting-state or task-based studies, depending on the goals of the experiment. Two important kinds of analysis can be carried out with the MEG signal: spectral a. and functional connectivity (FC) a. While the former provides information on the distribution of the frequency content within distinct brain areas, FC tells us about the dependence or interaction between the signals stemming from two (or among many) different brain areas. The large frequency range combined with the good resolution offered by MEG makes MEG-based spectral and FC analyses able to highlight distinct patterns of neurophysiological alterations during the aging process in both healthy and pathological conditions. Since disruption in spectral content and functional interactions between brain areas could be accounted for by early neuropathological changes, MEG could represent a useful tool to unveil neurobiological mechanisms related to the cognitive decline observed during aging, particularly suitable for the detection of functional alterations, and then for the discovery of potential biomarkers in case of pathology. The aging process is characterized by alterations in the spectral content across the brain. At the network level, FC studies reveal that older adults experience a series of changes that make them more vulnerable to cognitive interferences. While special attention has been dedicated to the study of pathological conditions (in particular, mild cognitive impairment and Alzheimer’s disease), the lack of studies addressing the features of FC in healthy aging is noteworthy. This area of research calls for future attention because it is able to set the baseline from which to draw comparisons with different pathological conditions.

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