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Salience network, functional connectivity, fMRI

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https://www.readbyqxmd.com/read/28300639/sliding-window-analysis-tracks-fluctuations-in-amygdala-functional-connectivity-associated-with-physiological-arousal-and-vigilance-during-fear-conditioning
#1
Blazej M Baczkowski, Tom Johnstone, Henrik Walter, Susanne Erk, Ilya M Veer
We evaluated whether sliding-window analysis can reveal functionally relevant brain network dynamics during a well-established fear conditioning paradigm. To this end, we tested if fMRI fluctuations in amygdala functional connectivity (FC) can be related to task-induced changes in physiological arousal and vigilance, as reflected in the skin conductance level (SCL). Thirty-two healthy individuals participated in the study. For the sliding-window analysis we used windows that were shifted by one volume at a time...
March 12, 2017: NeuroImage
https://www.readbyqxmd.com/read/28269497/reconstructing-multivariate-causal-structure-between-functional-brain-networks-through-a-laguerre-volterra-based-granger-causality-approach
#2
Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi
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/28267626/bayesian-switching-factor-analysis-for-estimating-time-varying-functional-connectivity-in-fmri
#3
Jalil Taghia, Srikanth Ryali, Tianwen Chen, Kaustubh Supekar, Weidong Cai, Vinod Menon
There is growing interest in understanding the dynamical properties of functional interactions between distributed brain regions. However, robust estimation of temporal dynamics from functional magnetic resonance imaging (fMRI) data remains challenging due to limitations in extant multivariate methods for modeling time-varying functional interactions between multiple brain areas. Here, we develop a Bayesian generative model for fMRI time-series within the framework of hidden Markov models (HMMs). The model is a dynamic variant of the static factor analysis model (Ghahramani and Beal, 2000)...
March 3, 2017: NeuroImage
https://www.readbyqxmd.com/read/28245927/motion-sickness-increases-functional-connectivity-between-visual-motion-and-nausea-associated-brain-regions
#4
Nicola Toschi, Jieun Kim, Roberta Sclocco, Andrea Duggento, Riccardo Barbieri, Braden Kuo, Vitaly Napadow
The brain networks supporting nausea not yet understood. We previously found that while visual stimulation activated primary (V1) and extrastriate visual cortices (MT+/V5, coding for visual motion), increasing nausea was associated with increasing sustained activation in several brain areas, with significant co-activation for anterior insula (aIns) and mid-cingulate (MCC) cortices. Here, we hypothesized that motion sickness also alters functional connectivity between visual motion and previously identified nausea-processing brain regions...
January 2017: Autonomic Neuroscience: Basic & Clinical
https://www.readbyqxmd.com/read/28245732/cortical-plasticity-after-brachial-plexus-injury-and-repair-a-resting-state-functional-mri-study
#5
Dhananjaya I Bhat, B Indira Devi, Komal Bharti, Rajanikant Panda
OBJECTIVE The authors aimed to understand the alterations of brain resting-state networks (RSNs) in patients with pan-brachial plexus injury (BPI) before and after surgery, which might provide insight into cortical plasticity after peripheral nerve injury and regeneration. METHODS Thirty-five patients with left pan-BPI before surgery, 30 patients after surgery, and 25 healthy controls underwent resting-state functional MRI (rs-fMRI). The 30 postoperative patients were subdivided into 2 groups: 14 patients with improvement in muscle power and 16 patients with no improvement in muscle power after surgery...
March 2017: Neurosurgical Focus
https://www.readbyqxmd.com/read/28227771/tracking-intrinsic-connectivity-brain-network-features-during-successive-pseudo-resting-states-and-interoceptive-task-fmri
#6
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
#7
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
#8
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/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/28195139/altered-insula-connectivity-under-mdma
#10
Ishan C Walpola, Timothy Nest, Leor Roseman, David Erritzoe, Amanda Feilding, David J Nutt, Robin L Carhart-Harris
Recent work with noninvasive human brain imaging has started to investigate the effects of 3, 4-methylenedioxymethamphetamine (MDMA) on large-scale patterns of brain activity. MDMA, a potent monoamine-releaser with particularly pronounced serotonin- releasing properties, has unique subjective effects that include: marked positive mood, pleasant/unusual bodily sensations and pro-social, empathic feelings. However, the neurobiological basis for these effects is not properly understood, and the present analysis sought to address this knowledge gap...
February 14, 2017: Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology
https://www.readbyqxmd.com/read/28176434/network-level-assessment-of-reward-related-activation-in-patients-with-adhd-and-healthy-individuals
#11
Daniel von Rhein, Christian F Beckmann, Barbara Franke, Jaap Oosterlaan, Dirk J Heslenfeld, Pieter J Hoekstra, Catharina A Hartman, Marjolein Luman, Stephen V Faraone, Roshan Cools, Jan K Buitelaar, Maarten Mennes
INTRODUCTION: Reward processing is a key aspect of cognitive control processes, putatively instantiated by mesolimbic and mesocortical brain circuits. Deficient signaling within these circuits has been associated with psychopathology. We applied a network discovery approach to assess specific functional networks associated with reward processing in participants with attention-deficit/hyperactivity disorder (ADHD). METHODS: To describe task-related processes in terms of integrated functional networks, we applied independent component analysis (ICA) to task response maps of 60 healthy participants who performed a monetary incentive delay (MID) task...
February 8, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28162895/the-brain-basis-for-misophonia
#12
Sukhbinder Kumar, Olana Tansley-Hancock, William Sedley, Joel S Winston, Martina F Callaghan, Micah Allen, Thomas E Cope, Phillip E Gander, Doris-Eva Bamiou, Timothy D Griffiths
Misophonia is an affective sound-processing disorder characterized by the experience of strong negative emotions (anger and anxiety) in response to everyday sounds, such as those generated by other people eating, drinking, chewing, and breathing [1-8]. The commonplace nature of these sounds (often referred to as "trigger sounds") makes misophonia a devastating disorder for sufferers and their families, and yet nothing is known about the underlying mechanism. Using functional and structural MRI coupled with physiological measurements, we demonstrate that misophonic subjects show specific trigger-sound-related responses in brain and body...
February 20, 2017: Current Biology: CB
https://www.readbyqxmd.com/read/28160660/altered-default-mode-fronto-parietal-and-salience-networks-in-adolescents-with-internet-addiction
#13
Lubin Wang, Hui Shen, Yu Lei, Ling-Li Zeng, Fenglin Cao, Linyan Su, Zheng Yang, Shuqiao Yao, Dewen Hu
Internet addiction (IA) is a condition characterized by loss of control over Internet use, leading to a variety of negative psychosocial consequences. Recent neuroimaging studies have begun to identify IA-related changes in specific brain regions and connections. However, whether and how the interactions within and between the large-scale brain networks are disrupted in individuals with IA remain largely unexplored. Using group independent component analysis, we extracted five intrinsic connectivity networks (ICNs) from the resting-state fMRI data of 26 adolescents with IA and 43 controls, including the anterior and posterior default mode network (DMN), left and right fronto-parietal network (FPN), and salience network (SN)...
January 15, 2017: Addictive Behaviors
https://www.readbyqxmd.com/read/28117515/multimodal-investigation-of-triple-network-connectivity-in-patients-with-22q11ds-and-association-with-executive-functions
#14
Maria C Padula, Marie Schaer, Elisa Scariati, Johanna Maeder, Maude Schneider, Stephan Eliez
Large-scale brain networks play a prominent role in cognitive abilities and their activity is impaired in psychiatric disorders, such as schizophrenia. Patients with 22q11.2 deletion syndrome (22q11DS) are at high risk of developing schizophrenia and present similar cognitive impairments, including executive functions deficits. Thus, 22q11DS represents a model for the study of neural biomarkers associated with schizophrenia. In this study, we investigated structural and functional connectivity within and between the Default Mode (DMN), the Central Executive (CEN), and the Saliency network (SN) in 22q11DS using resting-state fMRI and DTI...
April 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28116239/characterization-of-functional-brain-activity-and-connectivity-using-eeg-and-fmri-in-patients-with-sickle-cell-disease
#15
Michelle Case, Huishi Zhang, John Mundahl, Yvonne Datta, Stephen Nelson, Kalpna Gupta, Bin He
Sickle cell disease (SCD) is a red blood cell disorder that causes many complications including life-long pain. Treatment of pain remains challenging due to a poor understanding of the mechanisms and limitations to characterize and quantify pain. In the present study, we examined simultaneously recording functional MRI (fMRI) and electroencephalogram (EEG) to better understand neural connectivity as a consequence of chronic pain in SCD patients. We performed independent component analysis and seed-based connectivity on fMRI data...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28069540/multi-modal-analysis-of-functional-connectivity-and-cerebral-blood-flow-reveals-shared-and-unique-effects-of-propofol-in-large-scale-brain-networks
#16
Maolin Qiu, Dustin Scheinost, Ramachandran Ramani, R Todd Constable
Anesthesia-induced changes in functional connectivity and cerebral blow flow (CBF) in large-scale brain networks have emerged as key markers of reduced consciousness. However, studies of functional connectivity disagree on which large-scale networks are altered or preserved during anesthesia, making it difficult to find a consensus amount studies. Additionally, pharmacological alterations in CBF could amplify or occlude changes in connectivity due to the shared variance between CBF and connectivity. Here, we used data-driven connectivity methods and multi-modal imaging to investigate shared and unique neural correlates of reduced consciousness for connectivity in large-scale brain networks...
January 6, 2017: NeuroImage
https://www.readbyqxmd.com/read/28044431/abnormal-resting-state-neural-activity-and-connectivity-of-fatigue-in-parkinson-s-disease
#17
Jie-Jin Zhang, Jian Ding, Jun-Yi Li, Min Wang, Yong-Sheng Yuan, Li Zhang, Si-Ming Jiang, Xi-Xi Wang, Lin Zhu, Ke-Zhong Zhang
AIMS: Fatigue is a common burdensome problem in patients with Parkinson's disease (PD), but its pathophysiological mechanisms are poorly understood. This study aimed at investigating the neural substrates of fatigue in patients with PD. METHODS: A total of 17 PD patients with fatigue, 32 PD patients without fatigue, and 25 matched healthy controls were recruited. The 9-item fatigue severity scale (FSS) was used for fatigue screening and severity rating. Resting-state functional magnetic resonance imaging (RS-fMRI) data were obtained from all subjects...
January 3, 2017: CNS Neuroscience & Therapeutics
https://www.readbyqxmd.com/read/28038366/brain-networks-underlying-novel-metaphor-production
#18
Roger E Beaty, Paul J Silvia, Mathias Benedek
Metaphors are widely used to convey abstract concepts and emotions in the arts and everyday life. Neuroimaging research suggests that dynamic interactions among large-scale brain networks, including the default and executive control networks, support the production of such creative ideas. However, the extent to which these networks interact to support other forms of creative language production such as metaphor remains unknown. Using functional magnetic resonance imaging (fMRI), we explored this question by assessing functional interactions between brain regions during novel metaphor production...
February 2017: Brain and Cognition
https://www.readbyqxmd.com/read/27966102/behavioral-and-neural-correlates-of-disrupted-orienting-attention-in-posttraumatic-stress-disorder
#19
Stefanie Russman Block, Anthony P King, Rebecca K Sripada, Daniel H Weissman, Robert Welsh, Israel Liberzon
Prior work has revealed that posttraumatic stress disorder (PTSD) is associated with altered (a) attentional performance and (b) resting-state functional connectivity (rsFC) in brain networks linked to attention. Here, we sought to characterize and link these behavioral and brain-based alterations in the context of Posner and Peterson's tripartite model of attention. Male military veterans with PTSD (N = 49; all deployed to Iraq or Afghanistan) and healthy age-and-gender-matched community controls (N = 26) completed the Attention Network Task...
December 13, 2016: Cognitive, Affective & Behavioral Neuroscience
https://www.readbyqxmd.com/read/27916664/experience-dependent-modulation-of-right-anterior-insula-and-sensorimotor-regions-as-a-function-of-noise-masked-auditory-feedback-in-singers-and-nonsingers
#20
Boris Kleber, Anders Friberg, Anthony Zeitouni, Robert Zatorre
Previous studies on vocal motor production in singing suggest that the right anterior insula (AI) plays a role in experience-dependent modulation of feedback integration. Specifically, when somatosensory input was reduced via anesthesia of the vocal fold mucosa, right AI activity was down regulated in trained singers. In the current fMRI study, we examined how masking of auditory feedback affects pitch-matching accuracy and corresponding brain activity in the same participants. We found that pitch-matching accuracy was unaffected by masking in trained singers yet declined in nonsingers...
February 15, 2017: NeuroImage
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