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"Dynamic functional connectivity"

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https://www.readbyqxmd.com/read/29350187/multifractal-dynamics-of-resting-state-functional-connectivity-in-the-prefrontal-cortex
#1
Frigyes Samuel Racz, Peter Mukli, Zoltan Nagy, Andras Eke
Brain function is organized as a network of functional connections between different neuronal populations with connection strengths dynamically changing in time and space. Studies investigating functional connectivity (FC) usually follow a static approach when describing FC by considering the connectivity strengths constant, however a dynamic approach seems more reasonable, as this way the spatio-temporal dynamics of the underlying system can also be captured. Objective: The scale-free, i.e. fractal nature of neural dynamics is an inherent property of the nervous system...
January 19, 2018: Physiological Measurement
https://www.readbyqxmd.com/read/29320526/temporal-and-spectral-characteristics-of-dynamic-functional-connectivity-between-resting-state-networks-reveal-information-beyond-static-connectivity
#2
Sharon Chiang, Emilian R Vankov, Hsiang J Yeh, Michele Guindani, Marina Vannucci, Zulfi Haneef, John M Stern
Estimation of functional connectivity (FC) has become an increasingly powerful tool for investigating healthy and abnormal brain function. Static connectivity, in particular, has played a large part in guiding conclusions from the majority of resting-state functional MRI studies. However, accumulating evidence points to the presence of temporal fluctuations in FC, leading to increasing interest in estimating FC as a dynamic quantity. One central issue that has arisen in this new view of connectivity is the dramatic increase in complexity caused by dynamic functional connectivity (dFC) estimation...
2018: PloS One
https://www.readbyqxmd.com/read/29301874/locus-coeruleus-activity-strengthens-prioritized-memories-under-arousal
#3
David Clewett, Ringo Huang, Rico Velasco, Tae-Ho Lee, Mara Mather
Recent models posit that bursts of locus coeruleus (LC) activity amplify neural gain, such that limited attention and encoding resources focus even more on prioritized mental representations under arousal. Here, we tested this hypothesis in human males and females using functional magnetic resonance imaging (fMRI), neuromelanin MRI, and pupil dilation, a biomarker of arousal and LC activity. During scanning, participants performed a monetary incentive encoding task in which threat of punishment motivated participants to prioritize encoding of scene images over superimposed objects...
January 4, 2018: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/29209184/dynamics-of-intersubject-brain-networks-during-anxious-anticipation
#4
Mahshid Najafi, Joshua Kinnison, Luiz Pessoa
How do large-scale brain networks reorganize during the waxing and waning of anxious anticipation? Here, threat was dynamically modulated during human functional MRI as two circles slowly meandered on the screen; if they touched, an unpleasant shock was delivered. We employed intersubject correlation analysis, which allowed the investigation of network-level functional connectivity across brains, and sought to determine how network connectivity changed during periods of approach (circles moving closer) and periods of retreat (circles moving apart)...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29206330/differential-patterns-of-dynamic-functional-connectivity-variability-of-striato-cortical-circuitry-in-children-with-benign-epilepsy-with-centrotemporal-spikes
#5
Rong Li, Wei Liao, Yangyang Yu, Heng Chen, Xiaonan Guo, Ye-Lei Tang, Huafu Chen
Benign epilepsy with centrotemporal spikes (BECTS) is characterized by abnormal (static) functional interactions among cortical and subcortical regions, regardless of the active or chronic epileptic state. However, human brain connectivity is dynamic and associated with ongoing rhythmic activity. The dynamic functional connectivity (dFC) of the distinct striato-cortical circuitry associated with or without interictal epileptiform discharges (IEDs) are poorly understood in BECTS. Herein, we captured the pattern of dFC using sliding window correlation of putamen subregions in the BECTS (without IEDs, n = 23; with IEDs, n = 20) and sex- and age-matched healthy controls (HCs, n = 28) during rest...
December 5, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/29205692/changing-brain-connectivity-dynamics-from-early-childhood-to-adulthood
#6
Ashkan Faghiri, Julia M Stephen, Yu-Ping Wang, Tony W Wilson, Vince D Calhoun
Brain maturation through adolescence has been the topic of recent studies. Previous works have evaluated changes in morphometry and also changes in functional connectivity. However, most resting-state fMRI studies have focused on static connectivity. Here we examine the relationship between age/maturity and the dynamics of brain functional connectivity. Utilizing a resting fMRI dataset comprised 421 subjects ages 3-22 from the PING study, we first performed group ICA to extract independent components and their time courses...
December 5, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/29174693/impact-on-resting-state-dynamic-functional-connectivity-following-36-hours-of-total-sleep-deprivation
#7
Huaze Xu, Hui Shen, Lubin Wang, Qi Zhong, Yu Lei, Liu Yang, Ling-Li Zeng, Zongtan Zhou, Dewen Hu, Zheng Yang
Resting-state functional magnetic resonance imaging (fMRI) studies using static functional connectivity (FC) measures have shown that the brain function is severely disrupted after long-term sleep deprivation (SD). However, increasing evidence has suggested that resting-state FC is dynamic and exhibits spontaneous fluctuation on a smaller timescale. The process by which long-term SD can influence dynamic functional connectivity (dynFC) remains unclear. In this study, 37 healthy subjects participated in the SD experiment, and they were scanned both during rested wakefulness (RW) and after 36 hours of SD...
November 22, 2017: Brain Research
https://www.readbyqxmd.com/read/29163021/schizophrenia-shows-disrupted-links-between-brain-volume-and-dynamic-functional-connectivity
#8
Anees Abrol, Barnaly Rashid, Srinivas Rachakonda, Eswar Damaraju, Vince D Calhoun
Studies featuring multimodal neuroimaging data fusion for understanding brain function and structure, or disease characterization, leverage the partial information available in each of the modalities to reveal data variations not exhibited through the independent analyses. Similar to other complex syndromes, the characteristic brain abnormalities in schizophrenia may be better understood with the help of the additional information conveyed by leveraging an advanced modeling method involving multiple modalities...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29158202/dynamic-effective-connectivity-in-resting-state-fmri
#9
Hae-Jeong Park, Karl J Friston, Chongwon Pae, Bumhee Park, Adeel Razi
Context-sensitive and activity-dependent fluctuations in connectivity underlie functional integration in the brain and have been studied widely in terms of synaptic plasticity, learning and condition-specific (e.g., attentional) modulations of synaptic efficacy. This dynamic aspect of brain connectivity has recently attracted a lot of attention in the resting state fMRI community. To explain dynamic functional connectivity in terms of directed effective connectivity among brain regions, we introduce a novel method to identify dynamic effective connectivity using spectral dynamic causal modelling (spDCM)...
November 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/29153446/the-instability-of-functional-connectivity-in-patients-with-schizophrenia-and-their-siblings-a-dynamic-connectivity-study
#10
Shuixia Guo, Wei Zhao, Haojuan Tao, Zhening Liu, Lena Palaniyappan
BACKGROUND: The distributed connectivity among brain regions is in a constant state of flux, even when a subject is at rest. This instability (temporal variability), when optimal, may contribute to efficient cross-network communications. We investigate the role of this variability in the genetic diathesis and symptom expression of schizophrenia. METHODS: Resting state functional MRI data acquired from 116 subjects (28 patients with schizophrenia, 28 siblings and 60 matched healthy controls)...
November 15, 2017: Schizophrenia Research
https://www.readbyqxmd.com/read/29152994/decreased-connectivity-and-increased-bold-complexity-in-the-default-mode-network-in-individuals-with-chronic-fatigue-syndrome
#11
Zack Y Shan, Kevin Finegan, Sandeep Bhuta, Timothy Ireland, Donald R Staines, Sonya M Marshall-Gradisnik, Leighton R Barnden
The chronic fatigue syndrome / myalgic encephalomyelitis (CFS) is a debilitating disease with unknown pathophysiology and no diagnostic test. This study investigated the default mode network (DMN) in order to understand the pathophysiology of CFS and to identify potential biomarkers. Using functional MRI (fMRI) collected from 72 subjects (45 CFS and 27 controls) with a temporal resolution of 0.798s, we evaluated the default mode network using static functional connectivity (FC), dynamic functional connectivity (DFC) and DFC complexity, blood oxygenation level dependent (BOLD) activation maps and complexity of activity...
November 20, 2017: Brain Connectivity
https://www.readbyqxmd.com/read/29136310/brain-networks-of-the-imaginative-mind-dynamic-functional-connectivity-of-default-and-cognitive-control-networks-relates-to-openness-to-experience
#12
Roger E Beaty, Qunlin Chen, Alexander P Christensen, Jiang Qiu, Paul J Silvia, Daniel L Schacter
Imagination and creative cognition are often associated with the brain's default network (DN). Recent evidence has also linked cognitive control systems to performance on tasks involving imagination and creativity, with a growing number of studies reporting functional interactions between cognitive control and DN regions. We sought to extend the emerging literature on brain dynamics supporting imagination by examining individual differences in large-scale network connectivity in relation to Openness to Experience, a personality trait typified by imagination and creativity...
November 14, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/29081741/an-effective-method-to-identify-adolescent-generalized-anxiety-disorder-by-temporal-features-of-dynamic-functional-connectivity
#13
Zhijun Yao, Mei Liao, Tao Hu, Zhe Zhang, Yu Zhao, Fang Zheng, Jürg Gutknecht, Dennis Majoe, Bin Hu, Lingjiang Li
Generalized anxiety disorder (GAD) is one of common anxiety disorders in adolescents. Although adolescents with GAD are thought to be at high risk for other mental diseases, the disease-specific alterations have not been adequately explored. Recent studies have revealed the abnormal functional connectivity (FC) in adolescents with GAD. Most previous researches have investigated the static FC which ignores the fluctuations of FC over time and focused on the structures of "fear circuit". To figure out the alterations of dynamic FC caused by GAD and the possibilities of dynamic FC as biomarkers, we propose an effective approach to identify adolescent GAD using temporal features derived from dynamic FC...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29060812/decreased-variability-of-dynamic-phase-synchronization-in-brain-networks-during-hand-movement
#14
Lin Cheng, Hong Zhu, Yang Zhu, Naying He, Yang Yang, Huawei Ling, Shanbao Tong, Yi Fu, Junfeng Sun
Dynamic functional connectivity analysis, a rapidly growing method, has been demonstrated to provide new spatiotemporal information about how brain motor network would reorganize from rest to motor tasks. Phase synchronization analysis, which has been widely applied in EEG-based FC analysis, is a promising alternative method in dynamic FC analysis. In this study, fMRI data were recorded from 28 healthy volunteers when they are resting and performing hand closing and opening (HCO) task. Dynamic FC was estimated by phase synchronization analysis...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060604/dynamical-brain-connectivity-estimation-using-garch-models-an-application-to-personality-neuroscience
#15
R Riccelli, L Passamonti, A Duggento, M Guerrisi, I Indovina, A Terracciano, N Toschi
It has recently become evident that the functional connectome of the human brain is a dynamical entity whose time evolution carries important information underpinning physiological brain function as well as its disease-related aberrations. While simple sliding window approaches have had some success in estimating dynamical brain connectivity in a functional MRI (fMRI) context, these methods suffer from limitations related to the arbitrary choice of window length and limited time resolution. Recently, Generalized autoregressive conditional heteroscedastic (GARCH) models have been employed to generate dynamical covariance models which can be applied to fMRI...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060514/gender-differences-in-dynamic-functional-connectivity-based-on-resting-state-fmri
#16
Nini Mao, Hongna Zheng, Zhiying Long, Li Yao, Xia Wu
Many neuroscience studies have found brain differences lead to the gender differences in behavior and cognitive ability. Functional connectivity is a common and effective measure to characterize brain. Most current studies based on fMRI functional connectivity basically assumed temporal stationarity across the duration of scanning, and thought that brain functional connectivity was constant in a certain period of time. However, some studies revealed that the functional connectivity was dynamic and fluctuant over time...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29053835/abnormal-intrinsic-brain-functional-network-dynamics-in-parkinson-s-disease
#17
Jinhee Kim, Marion Criaud, Sang Soo Cho, María Díez-Cirarda, Alexander Mihaescu, Sarah Coakeley, Christine Ghadery, Mikaeel Valli, Mark F Jacobs, Sylvain Houle, Antonio P Strafella
No abstract text is available yet for this article.
November 1, 2017: Brain: a Journal of Neurology
https://www.readbyqxmd.com/read/29048582/salience-network-dynamics-underlying-successful-resistance-of-temptation
#18
Rosa Steimke, Jason S Nomi, Vince D Calhoun, Christine Stelzel, Lena M Paschke, Robert Gaschler, Thomas Goschke, Henrik Walter, Lucina Q Uddin
Self-control and the ability to resist temptation are critical for successful completion of long-term goals. Contemporary models in cognitive neuroscience emphasize the primary role of prefrontal cognitive control networks in aligning behavior with such goals. Here we use gaze pattern analysis and dynamic functional connectivity fMRI data to explore how individual differences in the ability to resist temptation are related to intrinsic brain dynamics of the cognitive control and salience networks. Behaviorally, individuals exhibit greater gaze distance from target location (e...
October 18, 2017: Social Cognitive and Affective Neuroscience
https://www.readbyqxmd.com/read/29038030/dynamic-functional-connectivity-impairments-in-early-schizophrenia-and-clinical-high-risk-for-psychosis
#19
REVIEW
Yuhui Du, Susanna L Fryer, Zening Fu, Dongdong Lin, Jing Sui, Jiayu Chen, Eswar Damaraju, Eva Mennigen, Barbara Stuart, Rachel L Loewy, Daniel H Mathalon, Vince D Calhoun
Individuals at clinical high-risk (CHR) for psychosis are characterized by attenuated psychotic symptoms. Only a minority of CHR individuals convert to full-blown psychosis. Therefore, there is a strong interest in identifying neurobiological abnormalities underlying the psychosis risk syndrome. Dynamic functional connectivity (DFC) captures time-varying connectivity over short time scales, and has the potential to reveal complex brain functional organization. Based on resting-state functional magnetic resonance imaging (fMRI) data from 70 healthy controls (HCs), 53 CHR individuals, and 58 early illness schizophrenia (ESZ) patients, we applied a novel group information guided ICA (GIG-ICA) to estimate inherent connectivity states from DFC, and then investigated group differences...
October 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28988134/dynamics-of-large-scale-electrophysiological-networks-a-technical-review
#20
REVIEW
George C O'Neill, Prejaas Tewarie, Diego Vidaurre, Lucrezia Liuzzi, Mark W Woolrich, Matthew J Brookes
For several years it has been argued that neural synchronisation is crucial for cognition. The idea that synchronised temporal patterns between different neural groups carries information above and beyond the isolated activity of these groups has inspired a shift in focus in the field of functional neuroimaging. Specifically, investigation into the activation elicited within certain regions by some stimulus or task has, in part, given way to analysis of patterns of co-activation or functional connectivity between distal regions...
October 4, 2017: NeuroImage
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