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triple mode network

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https://www.readbyqxmd.com/read/29580569/default-mode-connectivity-in-major-depressive-disorder-measured-up-to-10-days-after-ketamine-administration
#1
Jennifer W Evans, Joanna Szczepanik, Nancy Brutsché, Lawrence T Park, Allison C Nugent, Carlos A Zarate
BACKGROUND: The symptoms of major depressive disorder (MDD) are rapidly alleviated by administration of a single dose of the glutamatergic modulator ketamine. However, few studies have investigated the potential sustained neural effects of this agent beyond immediate infusion. This study used functional magnetic resonance imaging to examine the effect of a single ketamine infusion on the resting state default mode network (DMN) at 2 and 10 days after a single ketamine infusion in unmedicated subjects with MDD as well as healthy control subjects (HCs)...
February 15, 2018: Biological Psychiatry
https://www.readbyqxmd.com/read/29524621/gamma-hydroxybutyrate-increases-brain-resting-state-functional-connectivity-of-the-salience-network-and-dorsal-nexus-in-humans
#2
Oliver G Bosch, Fabrizio Esposito, Dario Dornbierer, Michael M Havranek, Robin von Rotz, Michael Kometer, Philipp Staempfli, Boris B Quednow, Erich Seifritz
According to the triple network hypothesis the brain is equipped with three core neurocognitive networks: the default mode (DMN), the salience (SN), and the central executive (CEN) network. Moreover, the so called dorsal nexus, has met growing interest as it is a hub region connecting these three networks. Assessment of resting-state functional connectivity (rsFC) of these networks enables the elucidation of drug-induced brain alterations. Gamma-hydroxybutyrate (GHB) is a GHB/GABA-B receptor agonist that induces a paradoxical state of mixed stimulation and sedation at moderate doses, which makes it a valuable tool to investigate neural signatures of subjective drug effects...
June 2018: NeuroImage
https://www.readbyqxmd.com/read/29486868/aberrant-time-varying-cross-network-interactions-in-children-with-attention-deficit-hyperactivity-disorder-and-the-relation-to-attention-deficits
#3
Weidong Cai, Tianwen Chen, Luca Szegletes, Kaustubh Supekar, Vinod Menon
BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is thought to stem from aberrancies in large-scale cognitive control networks. However, the exact nature of aberrant brain circuit dynamics involving these control networks is poorly understood. Using a saliency-based triple-network model of cognitive control, we tested the hypothesis that dynamic cross-network interactions among the salience, central executive, and default mode networks are dysregulated in children with ADHD, and we investigated how these dysregulations contribute to inattention...
March 2018: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
https://www.readbyqxmd.com/read/29484254/rest-but-busy-aberrant-resting-state-functional-connectivity-of-triple-network-model-in-insomnia
#4
Xiaojuan Dong, Haixia Qin, Taoyu Wu, Hua Hu, Keren Liao, Fei Cheng, Dong Gao, Xu Lei
Introduction: One classical hypothesis among many models to explain the etiology and maintenance of insomnia disorder (ID) is hyperarousal. Aberrant functional connectivity among resting-state large-scale brain networks may be the underlying neurological mechanisms of this hypothesis. The aim of current study was to investigate the functional network connectivity (FNC) among large-scale brain networks in patients with insomnia disorder (ID) during resting state. Methods: In the present study, the resting-state fMRI was used to evaluate whether patients with ID showed aberrant FNC among dorsal attention network (DAN), frontoparietal control network (FPC), anterior default mode network (aDMN), and posterior default mode network (pDMN) compared with healthy good sleepers (HGSs)...
February 2018: Brain and Behavior
https://www.readbyqxmd.com/read/29410103/frontoparietal-areas-link-impairments-of-large-scale-intrinsic-brain-networks-with-aberrant-fronto-striatal-interactions-in-ocd-a-meta-analysis-of-resting-state-functional-connectivity
#5
REVIEW
Deniz A Gürsel, Mihai Avram, Christian Sorg, Felix Brandl, Kathrin Koch
Neuroimaging studies report evidence for two distinct pathophysiological models of obsessive-compulsive disorder (OCD): disrupted fronto-striatal circuits and impaired large-scale fronto-parietal-limbic intrinsic brain networks, defined by functionally connected (FC) infra-slow oscillations in ongoing brain activity. To synthesize this literature and overcome inconsistencies, we conducted a coordinate-based meta-analysis of 18 whole-brain resting-state functional magnetic resonance imaging (fMRI) studies (541 patients, 572 healthy controls) comparing seed-based FC between OCD patients and healthy controls...
April 2018: Neuroscience and Biobehavioral Reviews
https://www.readbyqxmd.com/read/29398207/effective-connectivity-within-a-triple-network-brain-system-discriminates-schizophrenia-spectrum-disorders-from-psychotic-bipolar-disorder-at-the-single-subject-level
#6
Lena Palaniyappan, Gopikrishna Deshpande, Pradyumna Lanka, D Rangaprakash, Sarina Iwabuchi, Susan Francis, Peter F Liddle
OBJECTIVE: Schizophrenia spectrum disorders (SSD) and psychotic bipolar disorder share a number of genetic and neurobiological features, despite a divergence in clinical course and outcome trajectories. We studied the diagnostic classification potential that can be achieved on the basis of the structure and connectivity within a triple network system (the default mode, salience and central executive network) in patients with SSD and psychotic bipolar disorder. METHODS: Directed static connectivity and its dynamic variance was estimated among 8 nodes of the three large-scale networks...
February 2, 2018: Schizophrenia Research
https://www.readbyqxmd.com/read/29260858/methodology-for-the-validation-of-isotopic-analyses-by-mass-spectrometry-in-stable-isotope-labeling-experiments
#7
Maud Heuillet, Floriant Bellvert, Edern Cahoreau, Fabien Letisse, Pierre Millard, Jean-Charles Portais
Stable-isotope labeling experiments (ILEs) are widely used to investigate the topology and operation of metabolic networks. The quality of isotopic data collected in ILEs is of utmost importance to ensure reliable biological interpretations, but current evaluation approaches are limited due to a lack of suitable reference material and relevant evaluation criteria. In this work, we present a complete methodology to evaluate mass spectrometry (MS) methods used for quantitative isotopic studies of metabolic systems...
February 6, 2018: Analytical Chemistry
https://www.readbyqxmd.com/read/29163566/cultivar-diversity-of-grape-skin-polyphenol-composition-and-changes-in-response-to-drought-investigated-by-lc-ms-based-metabolomics
#8
Lucie Pinasseau, Anna Vallverdú-Queralt, Arnaud Verbaere, Maryline Roques, Emmanuelle Meudec, Loïc Le Cunff, Jean-Pierre Péros, Agnès Ageorges, Nicolas Sommerer, Jean-Claude Boulet, Nancy Terrier, Véronique Cheynier
Phenolic compounds represent a large family of plant secondary metabolites, essential for the quality of grape and wine and playing a major role in plant defense against biotic and abiotic stresses. Phenolic composition is genetically driven and greatly affected by environmental factors, including water stress. A major challenge for breeding of grapevine cultivars adapted to climate change and with high potential for wine-making is to dissect the complex plant metabolic response involved in adaptation mechanisms...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/28974724/decreased-triple-network-connectivity-in-patients-with-recent-onset-post-traumatic-stress-disorder-after-a-single-prolonged-trauma-exposure
#9
Yang Liu, Liang Li, Baojuan Li, Na Feng, Lihong Li, Xi Zhang, Hongbing Lu, Hong Yin
The triple network model provides a common framework for understanding affective and neurocognitive dysfunctions across multiple disorders, including central executive network (CEN), default mode network (DMN), and salience network (SN). Considering the effect of traumatic experience on post-traumatic stress disorder (PTSD), this study aims to explore the alteration of triple network connectivity in a specific PTSD induced by a single prolonged trauma exposure. With an arterial spin labeling sequence, three networks were first identified using independent component analysis among 10 PTSD patients and 10 healthy survivors, who experienced the same coal mining flood disaster...
October 3, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28945968/nature-of-interlayer-binding-and-stacking-of-sp-sp-2-hybridized-carbon-layers-a-quantum-monte-carlo-study
#10
Hyeondeok Shin, Jeongnim Kim, Hoonkyung Lee, Olle Heinonen, Anouar Benali, Yongkyung Kwon
α-Graphyne is a two-dimensional sheet of sp-sp2 hybridized carbon atoms in a honeycomb lattice. While the geometrical structure is similar to that of graphene, the hybridized triple bonds give rise to electronic structure that is different from that of graphene. Similar to graphene, α-graphyne can be stacked in bilayers with two stable configurations, but the different stackings have very different electronic structures: one is predicted to have gapless parabolic bands, and the other, a tunable band gap which is attractive for applications...
November 14, 2017: Journal of Chemical Theory and Computation
https://www.readbyqxmd.com/read/28756109/altered-coupling-of-default-mode-executive-control-and-salience-networks-in-internet-gaming-disorder
#11
J T Zhang, S-S Ma, C-G Yan, S Zhang, L Liu, L-J Wang, B Liu, Y-W Yao, Y-H Yang, X-Y Fang
BACKGROUND: Recently, a triple-network model suggested the abnormal interactions between the executive-control network (ECN), default-mode network (DMN) and salience network (SN) are important characteristics of addiction, in which the SN plays a critical role in allocating attentional resources toward the ECN and DMN. Although increasing studies have reported dysfunctions in these brain networks in Internet gaming disorder (IGD), interactions between these networks, particularly in the context of the triple-network model, have not been investigated in IGD...
September 2017: European Psychiatry: the Journal of the Association of European Psychiatrists
https://www.readbyqxmd.com/read/28743059/altered-connectivity-within-and-between-the-default-mode-central-executive-and-salience-networks-in-obsessive-compulsive-disorder
#12
Jie Fan, Mingtian Zhong, Jun Gan, Wanting Liu, Chaoyang Niu, Haiyan Liao, Hongchun Zhang, Jinyao Yi, Raymond C K Chan, Changlian Tan, Xiongzhao Zhu
BACKGROUND: Default mode network (DMN), central executive network (CEN) and salience network (SN) are the three most important intrinsic networks of the human brain. Recent studies emphasized the importance of the "triple-network model" which illustrated the interactions within and between DMN, CEN and SN in the pathophysiology of psychiatric disorders. However, previous studies of obsessive-compulsive disorder (OCD) just explored the altered connectivity within these networks while neglected the coupling between them...
December 1, 2017: Journal of Affective Disorders
https://www.readbyqxmd.com/read/28707959/interactions-of-the-salience-network-and-its-subsystems-with-the-default-mode-and-the-central-executive-networks-in-normal-aging-and-mild-cognitive-impairment
#13
Ganesh B Chand, Junjie Wu, Ihab Hajjar, Deqiang Qiu
Previous functional magnetic resonance imaging (fMRI) investigations suggest that the intrinsically organized large-scale networks and the interaction between them might be crucial for cognitive activities. A triple network model, which consists of the default-mode network, salience network, and central-executive network, has been recently used to understand the connectivity patterns of the cognitively normal brains versus the brains with disorders. This model suggests that the salience network dynamically controls the default-mode and central-executive networks in healthy young individuals...
September 2017: Brain Connectivity
https://www.readbyqxmd.com/read/28705767/common-and-distinct-dysfunctional-patterns-contribute-to-triple-network-model-in-schizophrenia-and-depression-a-preliminary-study
#14
Yuchao Jiang, Mingjun Duan, Xi Chen, Xin Chang, Hui He, YingJia Li, Cheng Luo, Dezhong Yao
BACKGROUND: Schizophrenia (SCH) and depression (DEP) are prevalent psychiatric disorders and share common and distinguished elements in their pathophysiology. A triple network model composed of the default mode network (DMN), salience network (SN) and central executive network (CEN) may represent a major abnormality across several psychiatric disorders including SCH and DEP. However, common and distinct dysfunctional patterns between SCH and DEP across three core networks remain unclear...
October 3, 2017: Progress in Neuro-psychopharmacology & Biological Psychiatry
https://www.readbyqxmd.com/read/28466439/high-sensitivity-neuroimaging-biomarkers-for-the-identification-of-amnestic-mild-cognitive-impairment-based-on-resting-state-fmri-and-a-triple-network-model
#15
Enyan Yu, Zhengluan Liao, Yunfei Tan, Yaju Qiu, Junpeng Zhu, Zhang Han, Jue Wang, Xinwei Wang, Hong Wang, Yan Chen, Qi Zhang, Yumei Li, Dewang Mao, Zhongxiang Ding
Many functional magnetic resonance imaging (fMRI) studies have indicated that Granger causality analysis (GCA) is a suitable method for revealing causal effects between brain regions. The purpose of the present study was to identify neuroimaging biomarkers with a high sensitivity to amnestic mild cognitive impairment (aMCI). The resting-state fMRI data of 30 patients with Alzheimer's disease (AD), 14 patients with aMCI, and 18 healthy controls (HC) were evaluated using GCA. This study focused on the "triple networks" concept, a recently proposed higher-order functioning-related brain network model that includes the default-mode network (DMN), salience network (SN), and executive control network (ECN)...
May 3, 2017: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/28117515/multimodal-investigation-of-triple-network-connectivity-in-patients-with-22q11ds-and-association-with-executive-functions
#16
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/27733827/a-triple-network-connectivity-study-of-large-scale-brain-systems-in-cognitively-normal-apoe4-carriers
#17
Xia Wu, Qing Li, Xinyu Yu, Kewei Chen, Adam S Fleisher, Xiaojuan Guo, Jiacai Zhang, Eric M Reiman, Li Yao, Rui Li
The triple network model, consisting of the central executive network (CEN), salience network (SN) and default mode network (DMN), has been recently employed to understand dysfunction in core networks across various disorders. Here we used the triple network model to investigate the large-scale brain networks in cognitively normal apolipoprotein e4 (APOE4) carriers who are at risk of Alzheimer's disease (AD). To explore the functional connectivity for each of the three networks and the effective connectivity among them, we evaluated 17 cognitively normal individuals with a family history of AD and at least one copy of the APOE4 allele and compared the findings to those of 12 individuals who did not carry the APOE4 gene or have a family history of AD, using independent component analysis (ICA) and Bayesian network (BN) approach...
2016: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/27729865/effects-of-ketamine-on-resting-state-eeg-activity-and-their-relationship-to-perceptual-dissociative-symptoms-in-healthy-humans
#18
Sara de la Salle, Joelle Choueiry, Dhrasti Shah, Hayley Bowers, Judy McIntosh, Vadim Ilivitsky, Verner Knott
N-methyl-D-aspartate (NMDA) receptor antagonists administered to healthy humans results in schizophrenia-like symptoms, which preclinical research suggests are due to glutamatergically altered brain oscillations. Here, we examined resting-state electroencephalographic activity in 21 healthy volunteers assessed in a placebo-controlled, double-blind, randomized study involving administration of either a saline infusion or a sub-anesthetic dose of ketamine, an NMDA receptor antagonist. Frequency-specific current source density (CSD) was assessed at sensor-level and source-level using eLORETA within regions of interest of a triple network model of schizophrenia (this model posits a dysfunctional switching between large-scale Default Mode and Central Executive networks by the monitor-controlling Salience Network)...
2016: Frontiers in Pharmacology
https://www.readbyqxmd.com/read/27240376/precise-point-positioning-using-triple-gnss-constellations-in-various-modes
#19
Akram Afifi, Ahmed El-Rabbany
This paper introduces a new dual-frequency precise point positioning (PPP) model, which combines the observations from three different global navigation satellite system (GNSS) constellations, namely GPS, Galileo, and BeiDou. Combining measurements from different GNSS systems introduces additional biases, including inter-system bias and hardware delays, which require rigorous modelling. Our model is based on the un-differenced and between-satellite single-difference (BSSD) linear combinations. BSSD linear combination cancels out some receiver-related biases, including receiver clock error and non-zero initial phase bias of the receiver oscillator...
May 28, 2016: Sensors
https://www.readbyqxmd.com/read/27155638/vibrational-energies-for-hfco-using-a-neural-network-sum-of-exponentials-potential-energy-surface
#20
Ekadashi Pradhan, Alex Brown
A six-dimensional potential energy surface (PES) for formyl fluoride (HFCO) is fit in a sum-of-products form using neural network exponential fitting functions. The ab initio data upon which the fit is based were computed at the explicitly correlated coupled cluster with single, double, and perturbative triple excitations [CCSD(T)-F12]/cc-pVTZ-F12 level of theory. The PES fit is accurate (RMSE = 10 cm(-1)) up to 10 000 cm(-1) above the zero point energy and covers most of the experimentally measured IR data...
May 7, 2016: Journal of Chemical Physics
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