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https://www.readbyqxmd.com/read/28231626/default-mode-network-deactivation-to-smoking-cue-relative-to-food-cue-predicts-treatment-outcome-in-nicotine-use-disorder
#1
Claire E Wilcox, Eric D Claus, Vince D Calhoun, Srinivas Rachakonda, Rae A Littlewood, Jessica Mickey, Pamela B Arenella, Natalie Goodreau, Kent E Hutchison
Identifying predictors of treatment outcome for nicotine use disorders (NUDs) may help improve efficacy of established treatments, like varenicline. Brain reactivity to drug stimuli predicts relapse risk in nicotine and other substance use disorders in some studies. Activity in the default mode network (DMN) is affected by drug cues and other palatable cues, but its clinical significance is unclear. In this study, 143 individuals with NUD (male n = 91, ages 18-55 years) received a functional magnetic resonance imaging scan during a visual cue task during which they were presented with a series of smoking-related or food-related video clips prior to randomization to treatment with varenicline (n = 80) or placebo...
February 23, 2017: Addiction Biology
https://www.readbyqxmd.com/read/28227771/tracking-intrinsic-connectivity-brain-network-features-during-successive-pseudo-resting-states-and-interoceptive-task-fmri
#2
Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini
Advanced multivariate analyses of functional magnetic resonance imaging (fMRI) data based on blood oxygen level-dependent (BOLD) contras have revealed that the human brain organizes its activities into multiple intrinsic connectivity networks (ICNs). Several fMRI studies have evaluated the modulations of these networks during different cognitive or emotional tasks using blind source separation techniques particularly the independent component analysis (ICA). In this exploratory study, we applied ICA methodology to examine ICN modulations under different interoceptive conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227769/identifying-the-effects-of-visceral-interoception-on-human-brain-connectome-a-multivariate-analysis-of-covariance-of-fmri-data
#3
Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini
Sources of variations in the neural circuitry of the human brain and interrelationship between intrinsic connectivity networks (ICNs) are still a matter of debate and ongoing research. Here, we applied a multivariate analysis of covariance (MANCOVA) based on high-dimensional independent component analysis (ICA) to identify the effects of interoception and related variables on human brain connectome. Fifteen healthy right-handed subjects (all females, age range 21 - 48 years; mean age = 30.3, SD = 8.7 years) underwent a blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) that included continuous intravesical saline infusion and drainage...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227749/reconstructing-multivariate-causal-structure-between-functional-brain-networks-through-a-laguerre-volterra-based-granger-causality-approach
#4
Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi, Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi, Andrea Duggento, Nicola Toschi, Maria Guerrisi, Luca Passamonti, Riccardo Barbieri, Gaetano Valenza
Classical multivariate approaches based on Granger causality (GC) which estimate functional connectivity in the brain are almost exclusively based on autoregressive models. Nevertheless, information available from past samples is limited due to both signal autocorrelation and necessarily low model orders. Consequently, multiple time-scales interactions are usually unaccounted for. To overcome these limitations, in this study we propose the use of discrete-time orthogonal Laguerre basis functions within a Wiener-Volterra decomposition of the BOLD signals to perform effective GC assessments of brain functional connectivity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227292/a-descriptive-model-of-resting-state-networks-using-markov-chains
#5
H Xie, R Pal, S Mitra, H Xie, R Pal, S Mitra, H Xie, S Mitra
Resting-state functional connectivity (RSFC) studies considering pairwise linear correlations have attracted great interests while the underlying functional network structure still remains poorly understood. To further our understanding of RSFC, this paper presents an analysis of the resting-state networks (RSNs) based on the steady-state distributions and provides a novel angle to investigate the RSFC of multiple functional nodes. This paper evaluates the consistency of two networks based on the Hellinger distance between the steady-state distributions of the inferred Markov chain models...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226698/differences-in-connectivity-patterns-between-child-and-adolescent-attention-deficit-hyperactivity-disorder-patients
#6
Bo-Yong Park, Jonghoon Kim, Hyunjin Park, Bo-Yong Park, Jonghoon Kim, Hyunjin Park, Hyunjin Park, Bo-Yong Park, Jonghoon Kim
Attention deficit hyperactivity disorder (ADHD) is a common psychological disorder for a broad range of ages. Child and adolescent ADHD patients show different behavior patterns. The differences between child and adolescent ADHD patients have not been fully explored in terms of brain connectivity. In this study, we explored the differences of connectivity patterns between child and adolescent ADHD patients using resting-state functional magnetic resonance imaging (rs-fMRI) of 52 ADHD patients (26 children and 26 adolescents)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226436/optimizing-rtms-treatment-of-a-balance-disorder-with-eeg-neural-synchrony-and-functional-connectivity
#7
Guofa Shou, Han Yuan, Diamond Urbano, Yoon-Hee Cha, Lei Ding, Guofa Shou, Han Yuan, Diamond Urbano, Yoon-Hee Cha, Lei Ding, Han Yuan, Yoon-Hee Cha, Diamond Urbano, Lei Ding, Guofa Shou
Repetitive transcranial magnetic stimulation (rTMS) has been increasingly used for its potential treatment effects across diverse mental disorders. However, the treatment effect is elusive and the rate of positive responders is not high, which make it in great demand of optimizing rTMS protocols to improve the treatment effects and the rate. In this regard, neural activity guided optimization has indicated great potential in several neuroimaging studies. In this paper, we present our ongoing work on optimizing rTMS treatment of a balance disorder, i...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28225084/rumination-and-default-mode-network-subsystems-connectivity-in-first-episode-drug-naive-young-patients-with-major-depressive-disorder
#8
Xueling Zhu, Qiuling Zhu, Huaizhen Shen, Weihua Liao, Fulai Yuan
Neuroimaging evidence implicates the association between rumination and default mode network (DMN) in major depressive disorder (MDD). However, the relationship between rumination and DMN subsystems remains incompletely understood, especially in patients with MDD. Thirty-three first-episode drug-naive patients with MDD and thirty-three healthy controls (HCs) were enrolled and underwent resting-sate fMRI scanning. Functional connectivity analysis was performed based on 11 pre-defined regions of interest (ROIs) for three DMN subsystems: the midline core, dorsal medial prefrontal cortex (dMPFC) and medial temporal lobe (MTL)...
February 22, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28223812/resting-state-functional-connectivity-changes-within-the-default-mode-network-and-the-salience-network-after-antipsychotic-treatment-in-early-phase-schizophrenia
#9
Yingchan Wang, Weijun Tang, Xiaoduo Fan, Jianye Zhang, Daoying Geng, Kaida Jiang, Dianming Zhu, Zhenhua Song, Zeping Xiao, Dengtang Liu
OBJECTIVE: Abnormal resting-state functional connectivity (FC), particularly in the default mode network (DMN) and the salience network (SN), has been reported in schizophrenia, but little is known about the effects of antipsychotics on these networks. The purpose of this study was to examine the effects of atypical antipsychotics on DMN and SN and the relationship between these effects and symptom improvement in patients with schizophrenia. METHODS: This was a prospective study of 33 patients diagnosed with schizophrenia and treated with antipsychotics at Shanghai Mental Health Center...
2017: Neuropsychiatric Disease and Treatment
https://www.readbyqxmd.com/read/28222526/the-impact-of-alzheimer-s-disease-on-the-resting-state-functional-connectivity-of-brain-regions-modulating-pain-a-cross-sectional-study
#10
Todd B Monroe, Paul A Beach, Stephen P Bruehl, Mary S Dietrich, Baxter P Rogers, John C Gore, Sebastian W Atalla, Ronald L Cowan
BACKGROUND: It is currently unknown why people with Alzheimer's disease (AD) receive less pain medication and report pain less frequently. OBJECTIVE: The purpose of this study was to determine the impact of AD on thermal psychophysics and resting-state functional connectivity (RSFC) among sensory, affective, descending modulatory, and default mode structures. METHODS: Controls (n = 23, 13 = female) and age-matched people with AD (n = 23, 13 = females) underwent psychophysical testing to rate perceptions of warmth, mild, and moderate pain and then completed resting-state fMRI...
February 7, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28220065/prediction-of-mild-cognitive-impairment-conversion-using-a-combination-of-independent-component-analysis-and-the-cox-model
#11
Ke Liu, Kewei Chen, Li Yao, Xiaojuan Guo
Mild cognitive impairment (MCI) represents a transitional stage from normal aging to Alzheimer's disease (AD) and corresponds to a higher risk of developing AD. Thus, it is necessary to explore and predict the onset of AD in MCI stage. In this study, we propose a combination of independent component analysis (ICA) and the multivariate Cox proportional hazards regression model to investigate promising risk factors associated with MCI conversion among 126 MCI converters and 108 MCI non-converters from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28218214/antidepressant-effects-of-electroconvulsive-therapy-unrelated-to-the-brain-s-functional-network-connectivity-alterations-at-an-individual-level
#12
Guang-Dong Chen, Feng Ji, Gong-Ying Li, Bo-Xuan Lyu, Wei Hu, Chuan-Jun Zhuo
BACKGROUND: Electroconvulsive therapy (ECT) can alleviate the symptoms of treatment-resistant depression (TRD). Functional network connectivity (FNC) is a newly developed method to investigate the brain's functional connectivity patterns. The first aim of this study was to investigate FNC alterations between TRD patients and healthy controls. The second aim was to explore the relationship between the ECT treatment response and pre-ECT treatment FNC alterations in individual TRD patients...
2017: Chinese Medical Journal
https://www.readbyqxmd.com/read/28217085/resting-state-fmri-in-mice-reveals-anesthesia-specific-signatures-of-brain-functional-networks-and-their-interactions
#13
Qasim Bukhari, Aileen Schroeter, David M Cole, Markus Rudin
fMRI studies in mice typically require the use of anesthetics. Yet, it is known that anesthesia alters responses to stimuli or functional networks at rest. In this work, we have used Dual Regression analysis Network Modeling to investigate the effects of two commonly used anesthetics, isoflurane and medetomidine, on rs-fMRI derived functional networks, and in particular to what extent anesthesia affected the interaction within and between these networks. Experimental data have been used from a previous study (Grandjean et al...
2017: Frontiers in Neural Circuits
https://www.readbyqxmd.com/read/28214523/abnormal-functional-networks-in-resting-state-of-the-sub-cortical-chronic-stroke-patients-with-hemiplegia
#14
Ye Zhang, Li Wang, Jun Yang, Rubing Yan, Jingna Zhang, Linqiong Sang, Pengyue Li, Hongliang Liu, Mingguo Qiu
The aim of this study isto identify the properties of the motor network and the default-mode network (DMN) of the sub-cortical chronic stroke patients, and to study the relationship between the network connectivity and the neurological scales of the stroke patients.Twenty-eight chronic stroke patients (28-77 days post-stroke) and twenty-eight healthy control subjects (HCs) were recruited. Independent component analysis (ICA) was performed to obtain the motor network and the DMN. Two sample t-tests was used to compare the differences of the motor network and the DMN between the patients and HCs...
February 15, 2017: Brain Research
https://www.readbyqxmd.com/read/28214015/anomalous-network-architecture-of-the-resting-brain-in-children-who-stutter
#15
Soo-Eun Chang, Michael Angstadt, Ho Ming Chow, Andrew C Etchell, Emily O Garnett, Ai Leen Choo, Daniel Kessler, Robert C Welsh, Chandra Sripada
PURPOSE: We combined a large longitudinal neuroimaging dataset that includes children who do and do not stutter and a whole-brain network analysis in order to examine the intra- and inter-network connectivity changes associated with stuttering. Additionally, we asked whether whole brain connectivity patterns observed at the initial year of scanning could predict persistent stuttering in later years. METHODS: A total of 224 high-quality resting state fMRI scans collected from 84 children (42 stuttering, 42 controls) were entered into an independent component analysis (ICA), yielding a number of distinct network connectivity maps ("components") as well as expression scores for each component that quantified the degree to which it is expressed for each child...
January 25, 2017: Journal of Fluency Disorders
https://www.readbyqxmd.com/read/28213114/hierarchical-control-of-procedural-and-declarative-category-learning-systems
#16
Benjamin O Turner, Matthew J Crossley, F Gregory Ashby
Substantial evidence suggests that human category learning is governed by the interaction of multiple qualitatively distinct neural systems. In this view, procedural memory is used to learn stimulus-response associations, and declarative memory is used to apply explicit rules and test hypotheses about category membership. However, much less is known about the interaction between these systems: how is control passed between systems as they interact to influence motor resources? Here, we used fMRI to elucidate the neural correlates of switching between procedural and declarative categorization systems...
February 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28210983/multi-view-ensemble-classification-of-brain-connectivity-images-for-neurodegeneration-type-discrimination
#17
Michele Fratello, Giuseppina Caiazzo, Francesca Trojsi, Antonio Russo, Gioacchino Tedeschi, Roberto Tagliaferri, Fabrizio Esposito
Brain connectivity analyses using voxels as features are not robust enough for single-patient classification because of the inter-subject anatomical and functional variability. To construct more robust features, voxels can be aggregated into clusters that are maximally coherent across subjects. Moreover, combining multi-modal neuroimaging and multi-view data integration techniques allows generating multiple independent connectivity features for the same patient. Structural and functional connectivity features were extracted from multi-modal MRI images with a clustering technique, and used for the multi-view classification of different phenotypes of neurodegeneration by an ensemble learning method (random forest)...
February 16, 2017: Neuroinformatics
https://www.readbyqxmd.com/read/28194128/disrupted-resting-state-default-mode-network-in-betel-quid-dependent-individuals
#18
Xueling Zhu, Qiuling Zhu, Canhua Jiang, Huaizhen Shen, Furong Wang, Weihua Liao, Fulai Yuan
Recent studies have shown that substance dependence (addiction) is accompanied with altered activity patterns of the default mode network (DMN). However, the neural correlates of the resting-state DMN and betel quid dependence (BQD)-related physiopathological characteristics still remain unclear. Resting-state functional magnetic resonance imaging images were obtained from 26 BQD individuals and 28 matched healthy control subjects. Group independent component analysis was performed to analyze the resting state images into spatially independent components...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28192723/influence-of-age-and-cognitive-performance-on-resting-state-brain-networks-of-older-adults-in-a-population-based-cohort
#19
Christiane Jockwitz, Svenja Caspers, Silke Lux, Simon B Eickhoff, Kerstin Jütten, Stefan Lenzen, Susanne Moebus, Noreen Pundt, Andrew Reid, Felix Hoffstaedter, Karl-Heinz Jöckel, Raimund Erbel, Sven Cichon, Markus M Nöthen, N Jon Shah, Karl Zilles, Katrin Amunts
Aging leads to global changes in brain structure and cognitive performance, with reorganization of functional brain networks. Importantly, these age-related changes show higher inter-individual variability in older subjects. To particularly address this variability is a challenge for studies on lifetime trajectories from early to late adulthood. The present study therefore had a dedicated focus on late adulthood to characterize the functional connectivity in resting-state networks (RSFC) in relation to age and cognitive performance in 711 older adults (55-85 years) from the 1000BRAINS project...
January 23, 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28192457/time-varying-spectral-power-of-resting-state-fmri-networks-reveal-cross-frequency-dependence-in-dynamic-connectivity
#20
Maziar Yaesoubi, Robyn L Miller, Vince D Calhoun
Brain oscillations and synchronicity among brain regions (brain connectivity) have been studied in resting-state (RS) and task-induced settings. RS-connectivity which captures brain functional integration during an unconstrained state is shown to vary with the frequency of oscillations. Indeed, high temporal resolution modalities have demonstrated both between and cross-frequency connectivity spanning across frequency bands such as theta and gamma. Despite high spatial resolution, functional magnetic resonance imaging (fMRI) suffers from low temporal resolution due to modulation with slow-varying hemodynamic response function (HRF) and also relatively low sampling rate...
2017: PloS One
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