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"Dynamic functional connectivity"

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https://www.readbyqxmd.com/read/28936168/mining-time-resolved-functional-brain-graphs-to-an-eeg-based-chronnectomic-brain-aged-index-cbai
#1
Stavros I Dimitriadis, Christos I Salis
The brain at rest consists of spatially and temporal distributed but functionally connected regions that called intrinsic connectivity networks (ICNs). Resting state electroencephalography (rs-EEG) is a way to characterize brain networks without confounds associated with task EEG such as task difficulty and performance. A novel framework of how to study dynamic functional connectivity under the notion of functional connectivity microstates (FCμstates) and symbolic dynamics is further discussed. Furthermore, we introduced a way to construct a single integrated dynamic functional connectivity graph (IDFCG) that preserves both the strength of the connections between every pair of sensors but also the type of dominant intrinsic coupling modes (DICM)...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28916180/interpreting-temporal-fluctuations-in-resting-state-functional-connectivity-mri
#2
REVIEW
Raphaël Liégeois, Timothy O Laumann, Abraham Z Snyder, Juan Zhou, B T Thomas Yeo
Resting-state functional connectivity is a powerful tool for studying human functional brain networks. Temporal fluctuations in functional connectivity, i.e., dynamic functional connectivity (dFC), are thought to reflect dynamic changes in brain organization and non-stationary switching of discrete brain states. However, recent studies have suggested that dFC might be attributed to sampling variability of static FC. Despite this controversy, a detailed exposition of stationarity and statistical testing of dFC is lacking in the literature...
September 12, 2017: NeuroImage
https://www.readbyqxmd.com/read/28882422/associations-between-dynamic-functional-connectivity-and-age-metabolic-risk-and-cognitive-performance
#3
Raymond P Viviano, Naftali Raz, Peng Yuan, Jessica S Damoiseaux
Advanced age is associated with reduced within-network functional connectivity, particularly within the default mode network. Most studies to date have examined age differences in functional connectivity via static indices that are computed over the entire blood-oxygen-level dependent time series. Little is known about the effects of age on short-term temporal dynamics of functional connectivity. Here, we examined age differences in dynamic connectivity as well as associations between connectivity, metabolic risk, and cognitive performance in healthy adults (N = 168; age, 18-83 years)...
August 10, 2017: Neurobiology of Aging
https://www.readbyqxmd.com/read/28819211/dynamic-local-connectivity-uncovers-altered-brain-synchrony-during-propofol-sedation
#4
Rose Dawn Bharath, Rajanikant Panda, Jitender Saini, Kamath Sriganesh, G S Umamaheswara Rao
Human consciousness is considered a result of the synchronous "humming" of multiple dynamic networks. We performed a dynamic functional connectivity analysis using resting state functional magnetic resonance imaging (rsfMRI) in 14 patients before and during a propofol infusion to characterize the sedation-induced alterations in consciousness. A sliding 36-second window was used to derive 59 time points of whole brain integrated local connectivity measurements. Significant changes in the connectivity strength (Z Corr) at various time points were used to measure the connectivity fluctuations during awake and sedated states...
August 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28801672/sample-entropy-reveals-an-age-related-reduction-in-the-complexity-of-dynamic-brain
#5
Yanbing Jia, Huaguang Gu, Qiang Luo
Dynamic reconfiguration of the human brain is characterized by the nature of complexity. The purpose of this study was to measure such complexity and also analyze its association with age. We modeled the dynamic reconfiguration process by dynamic functional connectivity, which was established by resting-state functional magnetic resonance imaging (fMRI) data, and we measured complexity within the dynamic functional connectivity by sample entropy (SampEn). A brainwide map of SampEn in healthy subjects shows larger values in the caudate, the olfactory gyrus, the amygdala, and the hippocampus, and lower values in primary sensorimotor and visual areas...
August 11, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28792117/intrinsic-functional-connectivity-variance-and-state-specific-under-connectivity-in-autism
#6
Heng Chen, Jason S Nomi, Lucina Q Uddin, Xujun Duan, Huafu Chen
Autism spectrum disorder (ASD) is a neurodevelopmental condition associated with altered brain connectivity. Previous neuroimaging research demonstrates inconsistent results, particularly in studies of functional connectivity in ASD. Typically, these inconsistent findings are results of studies using static measures of resting-state functional connectivity. Recent work has demonstrated that functional brain connections are dynamic, suggesting that static connectivity metrics fail to capture nuanced time-varying properties of functional connections in the brain...
August 9, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28782678/resting-state-networks-in-empirical-and-simulated-dynamic-functional-connectivity
#7
Katharina Glomb, Adrián Ponce-Alvarez, Matthieu Gilson, Petra Ritter, Gustavo Deco
It is well-established that patterns of functional connectivity (FC) - measures of correlated activity between pairs of voxels or regions observed in the human brain using neuroimaging - are robustly expressed in spontaneous activity during rest. These patterns are not static, but exhibit complex spatio-temporal dynamics. Over the last years, a multitude of methods have been proposed to reveal these dynamics on the level of the whole brain. One finding is that the brain transitions through different FC configurations over time, and substantial effort has been put into characterizing these configurations...
August 3, 2017: NeuroImage
https://www.readbyqxmd.com/read/28780401/task-based-dynamic-functional-connectivity-recent-findings-and-open-questions
#8
REVIEW
Javier Gonzalez-Castillo, Peter A Bandettini
The temporal evolution of functional connectivity (FC) within the confines of individual scans is nowadays often explored with functional neuroimaging. This is particularly true for resting-state; yet, FC-dynamics have also been investigated as subjects engage on numerous tasks. It is these research efforts that constitute the core of this survey. First, empirical observations on how FC differs between task and rest-independent of temporal scale-are reviewed, as they underscore how, despite overall preservation of network topography, the brain's FC does reconfigure in systematic ways to accommodate task demands...
August 2, 2017: NeuroImage
https://www.readbyqxmd.com/read/28714584/oscillations-during-observations-dynamic-oscillatory-networks-serving-visuospatial-attention
#9
Alex I Wiesman, Elizabeth Heinrichs-Graham, Amy L Proskovec, Timothy J McDermott, Tony W Wilson
The dynamic allocation of neural resources to discrete features within a visual scene enables us to react quickly and accurately to salient environmental circumstances. A network of bilateral cortical regions is known to subserve such visuospatial attention functions; however the oscillatory and functional connectivity dynamics of information coding within this network are not fully understood. Particularly, the coding of information within prototypical attention-network hubs and the subsecond functional connections formed between these hubs have not been adequately characterized...
October 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28713261/age-related-decline-in-the-variation-of-dynamic-functional-connectivity-a-resting-state-analysis
#10
Yuanyuan Chen, Weiwei Wang, Xin Zhao, Miao Sha, Ya'nan Liu, Xiong Zhang, Jianguo Ma, Hongyan Ni, Dong Ming
Normal aging is typically characterized by abnormal resting-state functional connectivity (FC), including decreasing connectivity within networks and increasing connectivity between networks, under the assumption that the FC over the scan time was stationary. In fact, the resting-state FC has been shown in recent years to vary over time even within minutes, thus showing the great potential of intrinsic interactions and organization of the brain. In this article, we assumed that the dynamic FC consisted of an intrinsic dynamic balance in the resting brain and was altered with increasing age...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28712995/investigations-into-within-and-between-subject-resting-state-amplitude-variations
#11
Janine Bijsterbosch, Samuel Harrison, Eugene Duff, Fidel Alfaro-Almagro, Mark Woolrich, Stephen Smith
The amplitudes of spontaneous fluctuations in brain activity may be a significant source of within-subject and between-subject variability, and this variability is likely to be carried through into functional connectivity (FC) estimates (whether directly or indirectly). Therefore, improving our understanding of amplitude fluctuations over the course of a resting state scan and variation in amplitude across individuals is of great relevance to the interpretation of FC findings. We investigate resting state amplitudes in two large-scale studies (HCP and UK Biobank), with the aim of determining between-subject and within-subject variability...
July 13, 2017: NeuroImage
https://www.readbyqxmd.com/read/28707166/altered-dynamic-functional-connectivity-in-the-default-mode-network-in-patients-with-cirrhosis-and-minimal-hepatic-encephalopathy
#12
Hua-Jun Chen, Hai-Long Lin, Qiu-Feng Chen, Peng-Fei Liu
PURPOSE: Abnormal brain intrinsic functional connectivity (FC) has been documented in minimal hepatic encephalopathy (MHE) by static connectivity analysis. However, changes in dynamic FC (dFC) remain unknown. We aimed to identify altered dFC within the default mode network (DMN) associated with MHE. METHODS: Resting-state functional MRI data were acquired from 20 cirrhotic patients with MHE and 24 healthy controls. DMN seed regions were defined using seed-based FC analysis (centered on the posterior cingulate cortex (PCC))...
July 13, 2017: Neuroradiology
https://www.readbyqxmd.com/read/28687517/comparing-test-retest-reliability-of-dynamic-functional-connectivity-methods
#13
Ann S Choe, Mary Beth Nebel, Anita D Barber, Jessica R Cohen, Yuting Xu, James J Pekar, Brian Caffo, Martin A Lindquist
Due to the dynamic, condition-dependent nature of brain activity, interest in estimating rapid functional connectivity (FC) changes that occur during resting-state functional magnetic resonance imaging (rs-fMRI) has recently soared. However, studying dynamic FC is methodologically challenging, due to the low signal-to-noise ratio of the blood oxygen level dependent (BOLD) signal in fMRI and the massive number of data points generated during the analysis. Thus, it is important to establish methods and summary measures that maximize reliability and the utility of dynamic FC to provide insight into brain function...
July 5, 2017: NeuroImage
https://www.readbyqxmd.com/read/28684334/just-a-thought-how-mind-wandering-is-represented-in-dynamic-brain-connectivity
#14
REVIEW
Aaron Kucyi
The neuroscience of mind-wandering has begun to flourish, with roles of brain regions and networks being defined for various components of spontaneous thought. However, often underappreciated is that most of brain activity does not represent immediately occurring thoughts. Instead, spontaneous, organized network activity largely reflects "intrinsic" functions that are unrelated to the current experience. There remains no consensus on how brain networks represent mind-wandering in parallel to functioning in other ongoing, predominantly unconscious processes...
July 3, 2017: NeuroImage
https://www.readbyqxmd.com/read/28665045/extraction-of-dynamic-functional-connectivity-from-brain-grey-matter-and-white-matter-for-mci-classification
#15
Xiaobo Chen, Han Zhang, Lichi Zhang, Celina Shen, Seong-Whan Lee, Dinggang Shen
Brain functional connectivity (FC) extracted from resting-state fMRI (RS-fMRI) has become a popular approach for diagnosing various neurodegenerative diseases, including Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment (MCI). Current studies mainly construct the FC networks between grey matter (GM) regions of the brain based on temporal co-variations of the blood oxygenation level-dependent (BOLD) signals, which reflects the synchronized neural activities. However, it was rarely investigated whether the FC detected within the white matter (WM) could provide useful information for diagnosis...
October 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28583880/slow-5-dynamic-functional-connectivity-reflects-the-capacity-to-sustain-cognitive-performance-during-pain
#16
J C Cheng, R L Bosma, K S Hemington, A Kucyi, M A Lindquist, K D Davis
Some individuals are more distracted by pain during a cognitive task than others, representing poor pain coping. We have characterized individuals as A-type (attention dominates) or P-type (pain dominates) based on how pain interferes with task speed. The ability to optimize behavior during pain may relate to the flexibility in communication at rest between the dorsolateral prefrontal cortex (DLPFC) of the executive control network, and the anterior mid-cingulate cortex (aMCC) of the salience network (SN) - regions involved in cognitive-interference...
June 3, 2017: NeuroImage
https://www.readbyqxmd.com/read/28578129/assessing-dynamic-functional-connectivity-in-heterogeneous-samples
#17
B C L Lehmann, S R White, R N Henson, Cam-Can, L Geerligs
Several methods have been developed to measure dynamic functional connectivity (dFC) in fMRI data. These methods are often based on a sliding-window analysis, which aims to capture how the brain's functional organization varies over the course of a scan. The aim of many studies is to compare dFC across groups, such as younger versus older people. However, spurious group differences in measured dFC may be caused by other sources of heterogeneity between people. For example, the shape of the haemodynamic response function (HRF) and levels of measurement noise have been found to vary with age...
August 15, 2017: NeuroImage
https://www.readbyqxmd.com/read/28553208/childhood-trauma-and-functional-connectivity-between-amygdala-and-medial-prefrontal-cortex-a-dynamic-functional-connectivity-and-large-scale-network-perspective
#18
Josh M Cisler
Altered functional connectivity (FC) between the medial prefrontal cortex (mPFC) and amygdala is widely implicated as a neural mechanism explaining risk for psychopathology among those exposed to early life trauma. Nonetheless, contemporary neuroimaging research has shifted toward large-scale network models of brain function, and it is not clear how this common bi-nodal finding fits into larger-scale network models. Here, using dynamic functional connectivity (DFC) approaches combined with large-scale network analyses, the larger role of bi-nodal FC between mPFC and amygdala among a sample of adolescent girls is investigated...
2017: Frontiers in Systems Neuroscience
https://www.readbyqxmd.com/read/28456172/structural-connectome-topology-relates-to-regional-bold-signal-dynamics-in-the-mouse-brain
#19
Sarab S Sethi, Valerio Zerbi, Nicole Wenderoth, Alex Fornito, Ben D Fulcher
Brain dynamics are thought to unfold on a network determined by the pattern of axonal connections linking pairs of neuronal elements; the so-called connectome. Prior work has indicated that structural brain connectivity constrains pairwise correlations of brain dynamics ("functional connectivity"), but it is not known whether inter-regional axonal connectivity is related to the intrinsic dynamics of individual brain areas. Here we investigate this relationship using a weighted, directed mesoscale mouse connectome from the Allen Mouse Brain Connectivity Atlas and resting state functional MRI (rs-fMRI) time-series data measured in 184 brain regions in eighteen anesthetized mice...
April 2017: Chaos
https://www.readbyqxmd.com/read/28447220/track-weighted-dynamic-functional-connectivity-tw-dfc-a-new-method-to-study-time-resolved-functional-connectivity
#20
Fernando Calamante, Robert E Smith, Xiaoyun Liang, Andrew Zalesky, Alan Connelly
Interest in the study of brain connectivity is growing, particularly in understanding the dynamics of the structural/functional connectivity relation. Structural and functional connectivity are most often analysed independently of each other. Track-weighted functional connectivity (TW-FC) was recently proposed as a means to combine structural/functional connectivity information into a single image. We extend here TW-FC in two important ways: first, all the functional data are used without having to define a prior functional network (cf...
April 26, 2017: Brain Structure & Function
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