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"Dynamic functional connectivity"

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https://www.readbyqxmd.com/read/29735154/dynamic-functional-connectivity-states-reflecting-psychotic-like-experiences
#1
Anita D Barber, Martin A Lindquist, Pamela DeRosse, Katherine H Karlsgodt
BACKGROUND: Psychotic-like experiences (PLEs) are associated with lower social and occupational functioning, and lower executive function. Emerging evidence also suggests that PLEs reflect neural dysfunction resembling that of psychotic disorders. METHODS: The present study examined dynamic connectivity related to a measure of PLEs derived from the Achenbach Adult Self-Report, in an otherwise-healthy sample of adults from the Human Connectome Project. A total of 76 PLE-endorsing and 153 control participants were included in the final sample...
May 2018: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
https://www.readbyqxmd.com/read/29709625/dynamic-functional-connectivity-markers-of-objective-trait-mindfulness
#2
Julian Lim, James Teng, Amiya Patanaik, Jesisca Tandi, Stijn A A Massar
While mindfulness is commonly viewed as a skill to be cultivated through practice, untrained individuals can also vary widely in dispositional mindfulness. Prior research has identified static neural connectivity correlates of this trait. Here, we use dynamic functional connectivity (DFC) analysis of resting-state fMRI to study time-varying connectivity patterns associated with naturally varying and objectively measured trait mindfulness. Participants were selected from the top and bottom tertiles of performers on a breath-counting task to form high trait mindfulness (HTM; N = 21) and low trait mindfulness (LTM; N = 18) groups...
April 27, 2018: NeuroImage
https://www.readbyqxmd.com/read/29708944/multivariate-machine-learning-distinguishes-cross-network-dynamic-functional-connectivity-patterns-in-state-and-trait-neuropathic-pain
#3
J C Cheng, A Rogachov, K S Hemington, A Kucyi, R L Bosma, M A Lindquist, R D Inman, K D Davis
Communication within the brain is dynamic. Chronic pain can also be dynamic, with varying intensities experienced over time. Little is known of how brain dynamics are disrupted in chronic pain, or relates to patients' pain assessed at various time-scales (e.g., short-term state versus long-term trait). Patients experience pain "traits" indicative of their general condition, but also pain "states" that vary day to day. Here, we used network-based multivariate machine learning to determine how patterns in dynamic and static brain communication are related to different characteristics and timescales of chronic pain...
April 26, 2018: Pain
https://www.readbyqxmd.com/read/29704612/dynamic-functional-connectivity-and-its-behavioral-correlates-beyond-vigilance
#4
Amiya Patanaik, Jesisca Tandi, Ju Lynn Ong, Chenhao Wang, Juan Zhou, Michael W L Chee
Fluctuations in resting-state functional connectivity and global signal have been found to correspond with vigilance fluctuations, but their associations with other behavioral measures are unclear. We evaluated 52 healthy adolescents after a week of adequate sleep followed by five nights of sleep restriction to unmask inter-individual differences in cognition and mood. Resting state scans obtained at baseline only, analyzed using sliding window analysis, consistently yielded two polar dynamic functional connectivity states (DCSs) corresponding to previously reported 'low arousal' and 'high arousal' states...
April 25, 2018: NeuroImage
https://www.readbyqxmd.com/read/29684751/shedding-new-light-on-disorders-of-consciousness-diagnosis-the-dynamic-functional-connectivity
#5
Antonino Naro, Alessia Bramanti, Antonino Leo, Alberto Cacciola, Alfredo Manuli, Placido Bramanti, Rocco S Calabrò
It has been proposed that awareness may depend on the highly-dynamic functional connectivity of large-scale cortico-thalamo-cortical networks. We investigated how brain connectivity changes over time in the resting state in a group of patients with chronic disorders of consciousness (DoC). To this end, we assessed dynamic functional connectivity (DFC) in the resting state by analyzing the time-dependent EEG phase synchronization in five frequency bands (δ, θ, α, β, and γ). Patients in Minimally Conscious State (MCS) showed changes in DFC matrices and topography over time (mainly in the γ range), which were significantly different from those observed in patients with Unresponsive Wakefulness Syndrome (UWS)...
April 4, 2018: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/29677161/fast-gpu-pcc-a-gpu-based-technique-to-compute-pairwise-pearson-s-correlation-coefficients-for-time-series-data-fmri-study
#6
Taban Eslami, Fahad Saeed
Functional magnetic resonance imaging (fMRI) is a non-invasive brain imaging technique, which has been regularly used for studying brain’s functional activities in the past few years. A very well-used measure for capturing functional associations in brain is Pearson’s correlation coefficient. Pearson’s correlation is widely used for constructing functional network and studying dynamic functional connectivity of the brain. These are useful measures for understanding the effects of brain disorders on connectivities among brain regions...
April 20, 2018: High-throughput
https://www.readbyqxmd.com/read/29672091/resting-state-connectivity-dynamics-in-individuals-at-risk-for-psychosis
#7
Andrea Pelletier-Baldelli, Jessica R Andrews-Hanna, Vijay A Mittal
Clarifying dynamic fluctuations in resting-state connectivity in individuals at risk for psychosis (termed clinical high risk [CHR]) may inform understanding of psychotic disorders, such as schizophrenia, which have been associated with dysconnectivity and aberrant salience processing. Dynamic functional connectivity (DFC) investigations provide insight into how neural networks exchange information over time. Currently, there are no published DFC studies involving CHR individuals. This is notable, because understanding how networks may come together and disassociate over time could lend insight into the neural communication that underlies psychosis development and symptomatology...
April 2018: Journal of Abnormal Psychology
https://www.readbyqxmd.com/read/29657509/a-tensor-statistical-model-for-quantifying-dynamic-functional-connectivity
#8
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Guorong Wu
Functional connectivity (FC) has been widely investigated in many imaging-based neuroscience and clinical studies. Since functional Magnetic Resonance Image (MRI) signal is just an indirect reflection of brain activity, it is difficult to accurately quantify the FC strength only based on signal correlation. To address this limitation, we propose a learning-based tensor model to derive high sensitivity and specificity connectome biomarkers at the individual level from resting-state fMRI images. First, we propose a learning-based approach to estimate the intrinsic functional connectivity...
June 2017: Information Processing in Medical Imaging: Proceedings of the ... Conference
https://www.readbyqxmd.com/read/29608925/transdiagnostic-and-diagnosis-specific-dynamic-functional-connectivity-anchored-in-the-right-anterior-insula-in-major-depressive-disorder-and-bipolar-depression
#9
Yajing Pang, Heng Chen, Yifeng Wang, Zhiliang Long, Zongling He, Huangbin Zhang, Wei Liao, Qian Cui, Huafu Chen
Dysfunctional and abnormal functional connectivity in the right anterior insula (rAI) may underlie the pathophysiology of depression episode in bipolar disorder (BD) and of major depressive disorder (MDD). In this study, we examined the dynamic functional connectivity (dFC) of the rAI of 30 patients with BD, 30 patients with MDD, and 30 healthy controls. In the functional separation of rAI, the right dorsal AI (rdAI) and ventral AI (rvAI) were defined as seed regions. Sliding-window correlation of rAI subregions was implemented to measure the variance of dFC...
March 30, 2018: Progress in Neuro-psychopharmacology & Biological Psychiatry
https://www.readbyqxmd.com/read/29607681/principal-states-of-dynamic-functional-connectivity-reveal-the-link-between-resting-state-and-task-state-brain-an-fmri-study
#10
Lin Cheng, Yang Zhu, Junfeng Sun, Lifu Deng, Naying He, Yang Yang, Huawei Ling, Hasan Ayaz, Yi Fu, Shanbao Tong
Task-related reorganization of functional connectivity (FC) has been widely investigated. Under classic static FC analysis, brain networks under task and rest have been demonstrated a general similarity. However, brain activity and cognitive process are believed to be dynamic and adaptive. Since static FC inherently ignores the distinct temporal patterns between rest and task, dynamic FC may be more a suitable technique to characterize the brain's dynamic and adaptive activities. In this study, we adopted [Formula: see text]-means clustering to investigate task-related spatiotemporal reorganization of dynamic brain networks and hypothesized that dynamic FC would be able to reveal the link between resting-state and task-state brain organization, including broadly similar spatial patterns but distinct temporal patterns...
January 25, 2018: International Journal of Neural Systems
https://www.readbyqxmd.com/read/29536946/spatial-temporal-spectral-eeg-patterns-of-bold-functional-network-connectivity-dynamics
#11
Martin Lamoš, Radek Mareček, Tomáš Slavíček, Michal Mikl, Ivan Rektor, Jiří Jan
OBJECTIVE: Growing interest in the examination of large-scale brain network functional connectivity dynamics is accompanied by an effort to find the electrophysiological correlates. The commonly used constraints applied to spatial and spectral domains during electroencephalogram (EEG) data analysis may leave part of the neural activity unrecognized. We propose an approach that blindly reveals multimodal EEG spectral patterns that are related to the dynamics of the BOLD functional network connectivity...
June 2018: Journal of Neural Engineering
https://www.readbyqxmd.com/read/29527489/dynamic-functional-connectivity-in-parkinson-s-disease-patients-with-mild-cognitive-impairment-and-normal-cognition
#12
María Díez-Cirarda, Antonio P Strafella, Jinhee Kim, Javier Peña, Natalia Ojeda, Alberto Cabrera-Zubizarreta, Naroa Ibarretxe-Bilbao
The objective was to assess dynamic functional connectivity (FC) and local/global connectivity in Parkinson's disease (PD) patients with mild cognitive impairment (PD-MCI) and with normal cognition (PD-NC). The sample included 35 PD patients and 26 healthy controls (HC). Cognitive assessment followed an extensive neuropsychological battery. For resting-state functional MRI (rs-fMRI) analysis, independent component analysis (ICA) was performed and components were located in 7 networks: Subcortical (SC), Auditory (AUD), Somatomotor (SM), visual (VI), cognitive-control (CC), default-mode (DMN), and cerebellar (CB)...
2018: NeuroImage: Clinical
https://www.readbyqxmd.com/read/29476914/impact-of-global-signal-regression-on-characterizing-dynamic-functional-connectivity-and-brain-states
#13
Huaze Xu, Jianpo Su, Jian Qin, Ming Li, Ling-Li Zeng, Dewen Hu, Hui Shen
Recently, resting-state functional magnetic resonance imaging (fMRI) studies have been extended to explore fluctuations in correlations over shorter timescales, referred to as dynamic functional connectivity (dFC). However, the impact of global signal regression (GSR) on dFC is not well established, despite the intensive investigations of the influence of GSR on static functional connectivity (sFC). This study aimed to examine the effect of GSR on the performance of the sliding-window correlation, a commonly used method for capturing functional connectivity (FC) dynamics based on resting-state fMRI and simultaneous electroencephalograph (EEG)-fMRI data...
June 2018: NeuroImage
https://www.readbyqxmd.com/read/29467640/alterations-of-resting-state-static-and-dynamic-functional-connectivity-of-the-dorsolateral-prefrontal-cortex-in-subjects-with-internet-gaming-disorder
#14
Xu Han, Xiaowei Wu, Yao Wang, Yawen Sun, Weina Ding, Mengqiu Cao, Yasong Du, Fuchun Lin, Yan Zhou
Internet gaming disorder (IGD), a major behavior disorder, has gained increasing attention. Recent studies indicate altered resting-state static functional connectivity (FC) of the dorsolateral prefrontal cortex (DLPFC) in subjects with IGD. Whereas static FC often provides information on functional changes in subjects with IGD, investigations of temporal changes in FC between the DLPFC and the other brain regions may shed light on the dynamic characteristics of brain function associated with IGD. Thirty subjects with IGD and 30 healthy controls (HCs) matched for age, gender and education status were recruited...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29414496/changes-in-dynamic-functional-connections-with-aging
#15
Lixia Tian, Qizhuo Li, Chaomurilige Wang, Jian Yu
Despite numerous studies on age-related changes in static functional connections (FCs), the available literature on the changes in dynamic FCs with aging is lacking. This study investigated the changes in dynamic FCs with aging based on resting state fMRI data of 61 healthy adults aged 30-85 years. The time-resolved FCs among 160 pre-defined regions of interest (ROIs) were first estimated using sliding-window correlation. Based on the dynamic FC matrices, we then analyzed the dynamic switches between different FC states using k-means clustering, and correlated age with the dwell time of each FC state across subjects...
May 15, 2018: NeuroImage
https://www.readbyqxmd.com/read/29411471/oscillatory-dynamics-in-the-dorsal-and-ventral-attention-networks-during-the-reorienting-of-attention
#16
Amy L Proskovec, Elizabeth Heinrichs-Graham, Alex I Wiesman, Timothy J McDermott, Tony W Wilson
The ability to reorient attention within the visual field is central to daily functioning, and numerous fMRI studies have shown that the dorsal and ventral attention networks (DAN, VAN) are critical to such processes. However, despite the instantaneous nature of attentional shifts, the dynamics of oscillatory activity serving attentional reorientation remain poorly characterized. In this study, we utilized magnetoencephalography (MEG) and a Posner task to probe the dynamics of attentional reorienting in 29 healthy adults...
May 2018: Human Brain Mapping
https://www.readbyqxmd.com/read/29409920/the-effects-of-serotonin-modulation-on-medial-prefrontal-connectivity-strength-and-stability-a-pharmacological-fmri-study-with-citalopram
#17
D Arnone, T Wise, C Walker, P J Cowen, O Howes, S Selvaraj
BACKGROUND: Static and dynamic functional connectivity are being increasingly used to measure the effects of disease and a range of different interventions on brain networks. While preliminary evidence suggests that static connectivity can be modulated by chronic antidepressants administration in healthy individuals and in major depression, much less is known about the acute effects of antidepressants especially on dynamic functional connectivity changes. Here we examine acute effects of antidepressants on dynamic functional connectivity within the default mode network...
June 8, 2018: Progress in Neuro-psychopharmacology & Biological Psychiatry
https://www.readbyqxmd.com/read/29383434/age-related-early-late-variations-of-functional-connectivity-across-the-human-lifespan
#18
Yuanyuan Chen, Xin Zhao, Xiong Zhang, Ya'nan Liu, Peng Zhou, Hongyan Ni, Jianguo Ma, Dong Ming
PURPOSE: Many questions remain regarding how the brain develops, matures, and ages across the lifespan. The functional connectivity networks in the resting-state brain can reflect many of the characteristic changes in the brain that are associated with increasing age. Functional connectivity has been shown to be time-dependent over the course of a lifespan and even over the course of minutes. The lifespan strategies of all cognitive networks and how dynamic functional connectivity is associated with age are unclear...
April 2018: Neuroradiology
https://www.readbyqxmd.com/read/29357371/evaluating-the-impact-of-fast-fmri-on-dynamic-functional-connectivity-in-an-event-based-paradigm
#19
Ashish Kaul Sahib, Michael Erb, Justus Marquetand, Pascal Martin, Adham Elshahabi, Silke Klamer, Serge Vulliemoz, Klaus Scheffler, Thomas Ethofer, Niels K Focke
The human brain is known to contain several functional networks that interact dynamically. Therefore, it is desirable to analyze the temporal features of these networks by dynamic functional connectivity (dFC). A sliding window approach was used in an event-related fMRI (visual stimulation using checkerboards) to assess the impact of repetition time (TR) and window size on the temporal features of BOLD dFC. In addition, we also examined the spatial distribution of dFC and tested the feasibility of this approach for the analysis of interictal epileptiforme discharges...
2018: PloS One
https://www.readbyqxmd.com/read/29350187/multifractal-dynamics-of-resting-state-functional-connectivity-in-the-prefrontal-cortex
#20
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...
February 28, 2018: Physiological Measurement
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