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Resting state fMRI

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https://www.readbyqxmd.com/read/28319187/the-impact-of-high-grade-glial-neoplasms-on-human-cortical-electrophysiology
#1
S Kathleen Bandt, Jarod L Roland, Mrinal Pahwa, Carl D Hacker, David T Bundy, Jonathan D Breshears, Mohit Sharma, Joshua S Shimony, Eric C Leuthardt
OBJECTIVE: The brain's functional architecture of interconnected network-related oscillatory patterns in discrete cortical regions has been well established with functional magnetic resonance imaging (fMRI) studies or direct cortical electrophysiology from electrodes placed on the surface of the brain, or electrocorticography (ECoG). These resting state networks exhibit a robust functional architecture that persists through all stages of sleep and under anesthesia. While the stability of these networks provides a fundamental understanding of the organization of the brain, understanding how these regions can be perturbed is also critical in defining the brain's ability to adapt while learning and recovering from injury...
2017: PloS One
https://www.readbyqxmd.com/read/28318985/functional-disconnection-of-thalamic-and-cerebellar-dentate-nucleus-networks-in-progressive-supranuclear-palsy-and-corticobasal-syndrome
#2
Neeraj Upadhyay, Antonio Suppa, Maria Cristina Piattella, Costanza Giannì, Matteo Bologna, Flavio Di Stasio, Nikolaos Petsas, Francesca Tona, Giovanni Fabbrini, Alfredo Berardelli, Patrizia Pantano
AIM: To assess functional rearrangement following neurodegeneration in the thalamus and dentate nucleus in patients with progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS). METHODS: We recruited 19 patients with PSP, 11 with CBS and 14 healthy subjects. All the subjects underwent resting-state (rs) fMRI using a 3T system. Whole brain functional connectivity of the thalamus and dentate nucleus were calculated by means of a seed-based approach with FEAT script in FSL toolbox...
March 15, 2017: Parkinsonism & related Disorders
https://www.readbyqxmd.com/read/28316255/a-bayesian-double-fusion-model-for-resting-state-brain-connectivity-using-joint-functional-and-structural-data
#3
Hakmook Kang, Hernando Ombao, Christopher Fonnesbeck, Zhaohua Ding, Victoria L Morgan
Current approaches separately analyze concurrently acquired diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI) data. The primary limitation of these approaches is that they do not take advantage of the information from DTI that could potentially enhance estimation of resting state functional connectivity (FC) between brain regions. To overcome this limitation, we develop a Bayesian hierarchical spatio-temporal model that incorporates structural connectivity into estimating FC. In our proposed approach, structural connectivity (SC) based on DTI data is used to construct an informative prior for functional connectivity based on resting state fMRI data via the Cholesky decomposition...
March 19, 2017: Brain Connectivity
https://www.readbyqxmd.com/read/28315461/single-or-multi-frequency-generators-in-on-going-brain-activity-a-mechanistic-whole-brain-model-of-empirical-meg-data
#4
Gustavo Deco, Joana Cabral, Mark W Woolrich, Angus B A Stevner, Tim J van Hartevelt, Morten L Kringelbach
During rest, envelopes of band-limited on-going MEG signals co-vary across the brain in consistent patterns, which have been related to resting-state networks measured with fMRI. To investigate the genesis of such envelope correlations, we consider a whole-brain network model assuming two distinct fundamental scenarios: one where each brain area generates oscillations in a single frequency, and a novel one where each brain area can generate oscillations in multiple frequency bands. The models share, as a common generator of damped oscillations, the normal form of a supercritical Hopf bifurcation operating at the critical border between the steady state and the oscillatory regime...
March 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28315459/dynamic-reorganization-of-intrinsic-functional-networks-in-the-mouse-brain
#5
Joanes Grandjean, Maria Giulia Preti, Thomas Aw Bolton, Michaela Buerge, Erich Seifritz, Christopher R Pryce, Dimitri Van De Ville, Markus Rudin
Functional connectivity (FC) derived from resting-state functional magnetic resonance imaging (rs-fMRI) allows for the integrative study of neuronal processes at a macroscopic level. The majority of studies to date have assumed stationary interactions between brain regions, without considering the dynamic aspects of network organization. Only recently has the latter received increased attention, predominantly in human studies. Applying dynamic FC (dFC) analysis to mice is attractive given the relative simplicity of the mouse brain and the possibility to explore mechanisms underlying network dynamics using pharmacological, environmental or genetic interventions...
March 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28315455/7-8-dihydroxyflavone-facilitates-the-action-exercise-to-restore-plasticity-and-functionality-implications-for-early-brain-trauma-recovery
#6
Gokul Krishna, Rahul Agrawal, Yumei Zhuang, Zhe Ying, Afshin Paydar, Neil G Harris, Luiz Fernando F Royes, Fernando Gomez-Pinilla
Metabolic dysfunction accompanying traumatic brain injury (TBI) severely impairs the ability of injured neurons to comply with functional demands. This limits the success of rehabilitative strategies by compromising brain plasticity and function, and highlights the need for early interventions to promote energy homeostasis. We sought to examine whether the TrkB agonist, 7,8-dihydroxyflavone (7,8-DHF) normalizes brain energy deficits and restablishes more normal patterns of functional connectivity, while enhancing the effects of exercise during post-TBI period...
March 14, 2017: Biochimica et Biophysica Acta
https://www.readbyqxmd.com/read/28299208/sensorimotor-cortical-neuroplasticity-in-the-early-stage-of-bell-s-palsy
#7
Wenwen Song, Minhui Dai, Lihua Xuan, Zhijian Cao, Sisi Zhou, Courtney Lang, Kun Lv, Maosheng Xu, Jian Kong
Neuroplasticity is a common phenomenon in the human brain following nerve injury. It is defined as the brain's ability to reorganize by creating new neural pathways in order to adapt to change. Here, we use task-related and resting-state fMRI to investigate neuroplasticity in the primary sensory (S1) and motor cortex (M1) in patients with acute Bell's palsy (BP). We found that the period directly following the onset of BP (less than 14 days) is associated with significant decreases in regional homogeneity (ReHo), fractional amplitude of low frequency fluctuations (fALFF), and intrinsic connectivity contrast (ICC) values in the contralateral S1/M1 and in ReHo and ICC values in the ipsilateral S1/M1, compared to healthy controls...
2017: Neural Plasticity
https://www.readbyqxmd.com/read/28295824/wavelet-entropy-of-bold-time-series-an-application-to-rolandic-epilepsy
#8
Lalit Gupta, Jacobus F A Jansen, Paul A M Hofman, René M H Besseling, Anton J A de Louw, Albert P Aldenkamp, Walter H Backes
PURPOSE: To assess the wavelet entropy for the characterization of intrinsic aberrant temporal irregularities in the time series of resting-state blood-oxygen-level-dependent (BOLD) signal fluctuations. Further, to evaluate the temporal irregularities (disorder/order) on a voxel-by-voxel basis in the brains of children with Rolandic epilepsy. MATERIALS AND METHODS: The BOLD time series was decomposed using the discrete wavelet transform and the wavelet entropy was calculated...
March 11, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/28295805/resting-state-functional-connectivity-and-cognitive-dysfunction-correlations-in-spinocerebelellar-ataxia-type-6-sca6
#9
Licia Pereira, Raag D Airan, Ann Fishman, Jay J Pillai, Kalyani Kansal, Chiadi U Onyike, Jerry L Prince, Sarah H Ying, Haris I Sair
OBJECTIVE: The aim of this study is to evaluate the correlation between resting state functional MRI (RS-fMRI) activity and motor and cognitive impairment in spinocerebellar ataxia type 6 (SCA6). METHODS: Twelve patients with genetically confirmed SCA6 and 14 age matched healthy controls were imaged with RS-fMRI. Whole brain gray matter was automatically parcellated into 1000 regions of interest (ROIs). For each ROI, the first eigenvariate of voxel time courses was extracted...
March 15, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28295280/structural-and-functional-connectivity-in-children-and-adolescents-with-and-without-attention-deficit-hyperactivity-disorder
#10
Dienke J Bos, Bob Oranje, Michelle Achterberg, Chantal Vlaskamp, Sara Ambrosino, Marcel A de Reus, Martijn P van den Heuvel, Serge A R B Rombouts, Sarah Durston
BACKGROUND: Attention deficit/hyperactivity disorder (ADHD) has frequently been associated with changes in resting-state functional connectivity, and decreased white matter (WM) integrity. In the current study, we investigated functional connectivity within Default Mode and frontal control resting-state networks (RSNs) in children with and without ADHD. We hypothesized the RSNs of interest would show a pattern of impaired functional integration and segregation and corresponding changes in WM structure...
March 10, 2017: Journal of Child Psychology and Psychiatry, and Allied Disciplines
https://www.readbyqxmd.com/read/28294693/functional-network-connectivity-abnormalities-in-multiple-sclerosis-correlations-with-disability-and-cognitive-impairment
#11
Maria A Rocca, Paola Valsasina, Victoria M Leavitt, Mariaemma Rodegher, Marta Radaelli, Gianna C Riccitelli, Vittorio Martinelli, Filippo Martinelli-Boneschi, Andrea Falini, Giancarlo Comi, Massimo Filippi
OBJECTIVE: To investigate resting state (RS) functional connectivity (FC) abnormalities within the principal brain networks in a large cohort of multiple sclerosis (MS) patients, to define the trajectory of FC changes over disease stages and their relation with clinical and structural magnetic resonance imaging (MRI) measures. METHODS: RS functional magnetic resonance imaging (fMRI), clinical, and neuropsychological evaluation were obtained from 215 MS patients and 98 healthy controls...
March 1, 2017: Multiple Sclerosis: Clinical and Laboratory Research
https://www.readbyqxmd.com/read/28294459/identifying-dynamic-functional-connectivity-biomarkers-using-gig-ica-application-to-schizophrenia-schizoaffective-disorder-and-psychotic-bipolar-disorder
#12
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/28294457/structural-and-functional-brain-network-correlates-of-depressive-symptoms-in-premanifest-huntington-s-disease
#13
Peter McColgan, Adeel Razi, Sarah Gregory, Kiran K Seunarine, Alexandra Durr, Raymund A C Roos, Blair R Leavitt, Rachael I Scahill, Chris A Clark, Doug R Langbehn, Geraint Rees, Sarah J Tabrizi
Depression is common in premanifest Huntington's disease (preHD) and results in significant morbidity. We sought to examine how variations in structural and functional brain networks relate to depressive symptoms in premanifest HD and healthy controls. Brain networks were constructed using diffusion tractography (70 preHD and 81 controls) and resting state fMRI (92 preHD and 94 controls) data. A sub-network associated with depression was identified in a data-driven fashion and network-based statistics was used to investigate which specific connections correlated with depression scores...
March 15, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28293803/altered-resting-state-functional-connectivity-of-the-cerebellum-in-schizophrenia
#14
Chuanjun Zhuo, Chunli Wang, Lina Wang, Xinyu Guo, Qingying Xu, Yanyan Liu, Jiajia Zhu
Structural and functional abnormalities of the cerebellum in schizophrenia have been reported. Most previous studies investigating resting-state functional connectivity (rsFC) have relied on a priori restrictions on seed regions or specific networks, which may bias observations. In this study, we aimed to elicit the connectivity alterations of the cerebellum in schizophrenia in a hypothesis-free approach. Ninety-five schizophrenia patients and 93 sex- and age-matched healthy controls underwent resting-state functional magnetic resonance imaging (fMRI)...
March 14, 2017: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/28293468/a-method-for-independent-component-graph-analysis-of-resting-state-fmri
#15
Demetrius Ribeiro de Paula, Erik Ziegler, Pubuditha M Abeyasinghe, Tushar K Das, Carlo Cavaliere, Marco Aiello, Lizette Heine, Carol di Perri, Athena Demertzi, Quentin Noirhomme, Vanessa Charland-Verville, Audrey Vanhaudenhuyse, Johan Stender, Francisco Gomez, Jean-Flory L Tshibanda, Steven Laureys, Adrian M Owen, Andrea Soddu
INTRODUCTION: Independent component analysis (ICA) has been extensively used for reducing task-free BOLD fMRI recordings into spatial maps and their associated time-courses. The spatially identified independent components can be considered as intrinsic connectivity networks (ICNs) of non-contiguous regions. To date, the spatial patterns of the networks have been analyzed with techniques developed for volumetric data. OBJECTIVE: Here, we detail a graph building technique that allows these ICNs to be analyzed with graph theory...
March 2017: Brain and Behavior
https://www.readbyqxmd.com/read/28293185/hypoconnectivity-of-resting-state-networks-in-persons-with-aphasia-compared-with-healthy-age-matched-adults
#16
Chaleece W Sandberg
Aphasia is a language disorder affecting more than one million people in the US. While language function has traditionally been the focus of neuroimaging research, other cognitive functions are affected in this population, which has implications not only for those specific processes but also for the interaction of language and other cognitive functions. Resting state fMRI (rs-fMRI) is a practical and informative way to explore and characterize general cognitive engagement and/or health in this population, but it is currently underutilized...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28293181/from-anomalies-to-essential-scientific-revolution-intrinsic-brain-activity-in-the-light-of-kuhn-s-philosophy-of-science
#17
REVIEW
Marek Havlík
The first step toward a modern understanding of fMRI resting brain activity was made by Bharat Biswal in 1995. This surprising, and at first rejected, discovery is now associated with many resting state networks, notably the famous default mode network (DMN). Resting state activity and DMN significantly reassessed our traditional beliefs and conventions about the functioning of the brain. For the majority of the twentieth century, neuroscientists assumed that the brain is mainly the "reactive engine" to the environment operating mostly through stimulation...
2017: Frontiers in Systems Neuroscience
https://www.readbyqxmd.com/read/28293180/brief-mental-training-reorganizes-large-scale-brain-networks
#18
Yi-Yuan Tang, Yan Tang, Rongxiang Tang, Jarrod A Lewis-Peacock
Emerging evidences have shown that one form of mental training-mindfulness meditation, can improve attention, emotion regulation and cognitive performance through changing brain activity and structural connectivity. However, whether and how the short-term mindfulness meditation alters large-scale brain networks are not well understood. Here, we applied a novel data-driven technique, the multivariate pattern analysis (MVPA) to resting-state fMRI (rsfMRI) data to identify changes in brain activity patterns and assess the neural mechanisms induced by a brief mindfulness training-integrative body-mind training (IBMT), which was previously reported in our series of randomized studies...
2017: Frontiers in Systems Neuroscience
https://www.readbyqxmd.com/read/28290391/effect-of-propofol-anesthesia-on-resting-state-brain-functional-connectivity-in-indian-population-with-chronic-back-pain
#19
Kamath Sriganesh, Rakesh Balachandar, Bhavani Shankara Bagepally, Jitender Saini, G S Umamaheswara Rao
OBJECTIVE: Functional magnetic resonance imaging (fMRI) studies in healthy volunteers have shown alterations in brain connectivity following anesthesia as compared to the awake state. It is not known if the anesthesia-induced changes in brain connectivity are different in a pathological state. This study aims to evaluate changes in the resting state functional connectivity in the brain, after propofol anesthesia, in patients with chronic back pain (CBP). MATERIALS AND METHODS: Fourteen adults with CBP were included in this prospective study over 6 months...
March 2017: Neurology India
https://www.readbyqxmd.com/read/28289373/reentrant-information-flow-in-electrophysiological-rat-default-mode-network
#20
Wei Jing, Daqing Guo, Yunxiang Zhang, Fengru Guo, Pedro A Valdés-Sosa, Yang Xia, Dezhong Yao
Functional MRI (fMRI) studies have demonstrated that the rodent brain shows a default mode network (DMN) activity similar to that in humans, offering a potential preclinical model both for physiological and pathophysiological studies. However, the neuronal mechanism underlying rodent DMN remains poorly understood. Here, we used electrophysiological data to analyze the power spectrum and estimate the directed phase transfer entropy (dPTE) within rat DMN across three vigilance states: wakeful rest (WR), slow-wave sleep (SWS), and rapid-eye-movement sleep (REMS)...
2017: Frontiers in Neuroscience
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