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"Dynamic functional connectivity"

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https://www.readbyqxmd.com/read/28295837/compromised-hippocampus-striatum-pathway-as-a-potential-imaging-biomarker-of-mild-traumatic-brain-injury-and-posttraumatic-stress-disorder
#1
D Rangaprakash, Gopikrishna Deshpande, Thomas A Daniel, Adam M Goodman, Jennifer L Robinson, Nouha Salibi, Jeffrey S Katz, Thomas S Denney, Michael N Dretsch
OBJECTIVES: Military service members risk acquiring posttraumatic stress disorder (PTSD) and mild-traumatic brain injury (mTBI), with high comorbidity. Owing to overlapping symptomatology in chronic mTBI or postconcussion syndrome (PCS) and PTSD, it is difficult to assess the etiology of a patient's condition without objective measures. Using resting-state functional MRI in a novel framework, we tested the hypothesis that their neural signatures are characterized by functionally hyperconnected brain regions which are less variable over time...
March 15, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28294459/identifying-dynamic-functional-connectivity-biomarkers-using-gig-ica-application-to-schizophrenia-schizoaffective-disorder-and-psychotic-bipolar-disorder
#2
Yuhui Du, Godfrey D Pearlson, Dongdong Lin, Jing Sui, Jiayu Chen, Mustafa Salman, Carol A Tamminga, Elena I Ivleva, John A Sweeney, Matcheri S Keshavan, Brett A Clementz, Juan Bustillo, Vince D Calhoun
Functional magnetic resonance imaging (fMRI) studies have shown altered brain dynamic functional connectivity (DFC) in mental disorders. Here, we aim to explore DFC across a spectrum of symptomatically-related disorders including bipolar disorder with psychosis (BPP), schizoaffective disorder (SAD), and schizophrenia (SZ). We introduce a group information guided independent component analysis procedure to estimate both group-level and subject-specific connectivity states from DFC. Using resting-state fMRI data of 238 healthy controls (HCs), 140 BPP, 132 SAD, and 113 SZ patients, we identified measures differentiating groups from the whole-brain DFC and traditional static functional connectivity (SFC), separately...
March 10, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28269506/mining-cross-frequency-coupling-microstates-from-resting-state-meg-an-application-to-mild-traumatic-brain-injury
#3
Marios Antonakakis, Stavros I Dimitriadis, Michalis Zervakis, Andrew C Papanicolaou, George Zouridakis
Recent studies have investigated the possible role of dynamic functional connectivity and the role of cross-frequency coupling (CFC) to provide the substrate for reliable biomarkers of brain disorders. In this study, we analyzed time-varying CFC profiles from resting state Magnetoencephal-ographic recordings of 30 mild Traumatic Brain Injury (mTBI) patients and 50 normal controls. Interactions among sensors at specific pairs of frequency bands were computed via estimation of phase-to-amplitude couplings. We then computed time-varying functional connectivity graphs that were described in terms of segregation (local efficiency, LE) and integration (global efficiency, GE) and mapped those graphs to time series of GE/LE estimates...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268526/adaptive-change-point-detection-of-dynamic-functional-connectivity-networks
#4
Sadia Shakil, Sheila D Keilholz, Chin-Hui Lee
This study presents a new algorithm to adaptively detect change points of functional connectivity networks in the brain. It uses scans from resting-state functional magnetic resonance imaging (rsfMRI) which is one of the major tools to investigate intrinsic brain functionality. Different regions of the resting brain form networks that change states within a few seconds to minutes. The change points of these networks are different in normal and disordered brain functions and their understanding can help in identification of brain disorders...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227758/mining-cross-frequency-coupling-microstates-from-resting-state-meg-an-application-to-mild-traumatic-brain-injury
#5
Marios Antonakakis, Stavros I Dimitriadis, Michalis Zervakis, Andrew C Papanicolaou, George Zouridakis, Marios Antonakakis, Stavros I Dimitriadis, Michalis Zervakis, Andrew C Papanicolaou, George Zouridakis, Michalis Zervakis, Marios Antonakakis, George Zouridakis, Andrew C Papanicolaou, Stavros I Dimitriadis
Recent studies have investigated the possible role of dynamic functional connectivity and the role of cross-frequency coupling (CFC) to provide the substrate for reliable biomarkers of brain disorders. In this study, we analyzed time-varying CFC profiles from resting state Magnetoencephal-ographic recordings of 30 mild Traumatic Brain Injury (mTBI) patients and 50 normal controls. Interactions among sensors at specific pairs of frequency bands were computed via estimation of phase-to-amplitude couplings. We then computed time-varying functional connectivity graphs that were described in terms of segregation (local efficiency, LE) and integration (global efficiency, GE) and mapped those graphs to time series of GE/LE estimates...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226700/adaptive-change-point-detection-of-dynamic-functional-connectivity-networks
#6
Sadia Shakil, Sheila D Keilholz, Chin-Hui Lee, Sadia Shakil, Sheila D Keilholz, Chin-Hui Lee, Shella D Keilholz, Chin-Hui Lee, Sadia Shakil
This study presents a new algorithm to adaptively detect change points of functional connectivity networks in the brain. It uses scans from resting-state functional magnetic resonance imaging (rsfMRI) which is one of the major tools to investigate intrinsic brain functionality. Different regions of the resting brain form networks that change states within a few seconds to minutes. The change points of these networks are different in normal and disordered brain functions and their understanding can help in identification of brain disorders...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28220083/risperidone-effects-on-brain-dynamic-connectivity-a-prospective-resting-state-fmri-study-in-schizophrenia
#7
Kristin K Lottman, Nina V Kraguljac, David M White, Charity J Morgan, Vince D Calhoun, Allison Butt, Adrienne C Lahti
Resting-state functional connectivity studies in schizophrenia evaluating average connectivity over the entire experiment have reported aberrant network integration, but findings are variable. Examining time-varying (dynamic) functional connectivity may help explain some inconsistencies. We assessed dynamic network connectivity using resting-state functional MRI in patients with schizophrenia, while unmedicated (n = 34), after 1 week (n = 29) and 6 weeks of treatment with risperidone (n = 24), as well as matched controls at baseline (n = 35) and after 6 weeks (n = 19)...
2017: Frontiers in Psychiatry
https://www.readbyqxmd.com/read/28149963/reveal-consistent-spatial-temporal-patterns-from-dynamic-functional-connectivity-for-autism-spectrum-disorder-identification
#8
Yingying Zhu, Xiaofeng Zhu, Han Zhang, Wei Gao, Dinggang Shen, Guorong Wu
Functional magnetic resonance imaging (fMRI) provides a non-invasive way to investigate brain activity. Recently, convergent evidence shows that the correlations of spontaneous fluctuations between two distinct brain regions dynamically change even in resting state, due to the condition-dependent nature of brain activity. Thus, quantifying the patterns of functional connectivity (FC) in a short time period and changes of FC over time can potentially provide valuable insight into both individual-based diagnosis and group comparison...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28132931/assessing-uncertainty-in-dynamic-functional-connectivity
#9
Maria Kudela, Jaroslaw Harezlak, Martin A Lindquist
Functional connectivity (FC) - the study of the statistical association between time series from anatomically distinct regions (Friston, 1994, 2011) - has become one of the primary areas of research in the field surrounding resting state functional magnetic resonance imaging (rs-fMRI). Although for many years researchers have implicitly assumed that FC was stationary across time in rs-fMRI, it has recently become increasingly clear that this is not the case and the ability to assess dynamic changes in FC is critical for better understanding of the inner workings of the human brain (Hutchison et al...
January 27, 2017: NeuroImage
https://www.readbyqxmd.com/read/28112247/individuality-manifests-in-the-dynamic-reconfiguration-of-large-scale-brain-networks-during-movie-viewing
#10
Changwon Jang, Elizabeth Quattrocki Knight, Chongwon Pae, Bumhee Park, Shin-Ae Yoon, Hae-Jeong Park
Individuality, the uniqueness that distinguishes one person from another, may manifest as diverse rearrangements of functional connectivity during heterogeneous cognitive demands; yet, the neurobiological substrates of individuality, reflected in inter-individual variations of large-scale functional connectivity, have not been fully evidenced. Accordingly, we explored inter-individual variations of functional connectivity dynamics, subnetwork patterns and modular architecture while subjects watched identical video clips designed to induce different arousal levels...
January 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28029725/epicenters-of-dynamic-connectivity-in-the-adaptation-of-the-ventral-visual-system
#11
Vesna Prčkovska, Willem Huijbers, Aaron Schultz, Laura Ortiz-Teran, Cleofe Peña-Gomez, Pablo Villoslada, Keith Johnson, Reisa Sperling, Jorge Sepulcre
OBJECTIVES AND DESIGN: Neuronal responses adapt to familiar and repeated sensory stimuli. Enhanced synchrony across wide brain systems has been postulated as a potential mechanism for this adaptation phenomenon. Here, we used recently developed graph theory methods to investigate hidden connectivity features of dynamic synchrony changes during a visual repetition paradigm. Particularly, we focused on strength connectivity changes occurring at local and distant brain neighborhoods. PRINCIPAL OBSERVATIONS: We found that connectivity reorganization in visual modal cortex-such as local suppressed connectivity in primary visual areas and distant suppressed connectivity in fusiform areas-is accompanied by enhanced local and distant connectivity in higher cognitive processing areas in multimodal and association cortex...
April 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/27991540/bursty-properties-revealed-in-large-scale-brain-networks-with-a-point-based-method-for-dynamic-functional-connectivity
#12
William Hedley Thompson, Peter Fransson
The brain is organized into large scale spatial networks that can be detected during periods of rest using fMRI. The brain is also a dynamic organ with activity that changes over time. We developed a method and investigated properties where the connections as a function of time are derived and quantified. The point based method (PBM) presented here derives covariance matrices after clustering individual time points based upon their global spatial pattern. This method achieved increased temporal sensitivity, together with temporal network theory, allowed us to study functional integration between resting-state networks...
December 19, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27825906/aberrant-intra-salience-network-dynamic-functional-connectivity-impairs-large-scale-network-interactions-in-schizophrenia
#13
Xiangpeng Wang, Wenwen Zhang, Yujing Sun, Min Hu, Antao Chen
Aberrant functional interactions between several large-scale networks, especially the central executive network (CEN), the default mode network (DMN) and the salience network (SN), have been postulated as core pathophysiologic features of schizophrenia; however, the attributing factors of which remain unclear. The study employed resting-state fMRI with 77 participants (42 patients and 35 controls). We performed dynamic functional connectivity (DFC) and functional connectivity (FC) analyses to explore the connectivity patterns of these networks...
December 2016: Neuropsychologia
https://www.readbyqxmd.com/read/27779908/states-of-mind-characterizing-the-neural-bases-of-focus-and-mind-wandering-through-dynamic-functional-connectivity
#14
Benjamin W Mooneyham, Michael D Mrazek, Alissa J Mrazek, Kaita L Mrazek, Dawa T Phillips, Jonathan W Schooler
During tasks that require continuous engagement, the mind alternates between mental states of focused attention and mind-wandering. Existing research has assessed the functional connectivity of intrinsic brain networks underlying the experience and training of these mental states using "static" approaches that assess connectivity across an entire task. To disentangle the different functional connectivity between brain regions that occur as the mind fluctuates between discrete brain states, we employed a dynamic functional connectivity approach that characterized brain activity using a sliding window...
October 25, 2016: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/27775400/dynamic-functional-connectivity-in-bipolar-disorder-is-associated-with-executive-function-and-processing-speed-a-preliminary-study
#15
Tanya T Nguyen, Sanja Kovacevic, Sheena I Dev, Kun Lu, Thomas T Liu, Lisa T Eyler
OBJECTIVE: Disturbances in functional connectivity have been suggested to contribute to cognitive and emotion processing deficits observed in bipolar disorder (BD). Functional connectivity between medial prefrontal cortex (mPFC) and other brain regions may be particularly abnormal. The goal of the present study was to characterize the temporal dynamics of the default mode network (DMN) connectivity in BD and examine its association with cognition. METHOD: In a preliminary study, euthymic BD (n = 15) and healthy comparison (HC, n = 19) participants underwent resting-state functional MRI, using high-resolution sequences adapted from the Human Connectome Project, and completed neuropsychological measures of processing speed and executive function...
January 2017: Neuropsychology
https://www.readbyqxmd.com/read/27751859/abnormal-dynamics-of-cortical-resting-state-functional-connectivity-in-chronic-headache-patients
#16
Zewei Wang, Qing Yang, Li Min Chen
The goals of this study are to characterize the temporal dynamics of inter-regional connectivity of the brain in chronic headache (CH) patients versus their age/gender matched controls (CONCH, n=28 pairs), and to determine whether dynamic measures reveal additional features to static functional connectivity and correlate with psychometric scores. Cortical thickness and inter-regional resting state fMRI connectivity were quantified and compared between CH and CONCH groups. Six cortical regions of interest (ROI) pairs that exhibited correlated cortical thickness and static functional connectivity abnormalities were selected for temporal dynamic analysis...
October 14, 2016: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/27696603/enhanced-subject-specific-resting-state-network-detection-and-extraction-with-fast-fmri
#17
Burak Akin, Hsu-Lei Lee, Jürgen Hennig, Pierre LeVan
Resting-state networks have become an important tool for the study of brain function. An ultra-fast imaging technique that allows to measure brain function, called Magnetic Resonance Encephalography (MREG), achieves an order of magnitude higher temporal resolution than standard echo-planar imaging (EPI). This new sequence helps to correct physiological artifacts and improves the sensitivity of the fMRI analysis. In this study, EPI is compared with MREG in terms of capability to extract resting-state networks...
October 3, 2016: Human Brain Mapping
https://www.readbyqxmd.com/read/27687802/state-dependent-variability-of-dynamic-functional-connectivity-between-frontoparietal-and-default-networks-relates-to-cognitive-flexibility
#18
Linda Douw, Daniel G Wakeman, Naoaki Tanaka, Hesheng Liu, Steven M Stufflebeam
The brain is a dynamic, flexible network that continuously reconfigures. However, the neural underpinnings of how state-dependent variability of dynamic functional connectivity (vdFC) relates to cognitive flexibility are unclear. We therefore investigated flexible functional connectivity during resting-state and task-state functional magnetic resonance imaging (rs-fMRI and t-fMRI, resp.) and performed separate, out-of-scanner neuropsychological testing. We hypothesize that state-dependent vdFC between the frontoparietal network (FPN) and the default mode network (DMN) relates to cognitive flexibility...
December 17, 2016: Neuroscience
https://www.readbyqxmd.com/read/27678090/static-and-dynamic-functional-connectivity-in-patients-with-chronic-fatigue-syndrome-use-of-arterial-spin-labelling-fmri
#19
Jeff Boissoneault, Janelle Letzen, Song Lai, Michael E Robinson, Roland Staud
Studies using arterial spin labelling (ASL) have shown that individuals with chronic fatigue syndrome (CFS) have decreased regional cerebral blood flow, which may be associated with changes in functional neural networks. Indeed, recent studies indicate disruptions in functional connectivity (FC) at rest in chronically fatigued patients including perturbations in static FC (sFC), that is average FC at rest between several brain regions subserving neurocognitive, motor and affect-related networks. Whereas sFC often provides information of functional network reorganization in chronic illnesses, investigations of temporal changes in functional connectivity between multiple brain areas may shed light on the dynamic characteristics of brain network activation associated with such maladies...
September 28, 2016: Clinical Physiology and Functional Imaging
https://www.readbyqxmd.com/read/27620978/stimulus-dependent-dynamic-reorganization-of-the-human-face-processing-network
#20
Gideon Rosenthal, Olaf Sporns, Galia Avidan
Using the "face inversion effect", a hallmark of face perception, we examined network mechanisms supporting face representation by tracking functional magnetic resonance imaging (fMRI) stimulus-dependent dynamic functional connectivity within and between brain networks associated with the processing of upright and inverted faces. We developed a novel approach adapting the general linear model (GLM) framework classically used for univariate fMRI analysis to capture stimulus-dependent fMRI dynamic connectivity of the face network...
September 12, 2016: Cerebral Cortex
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