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https://www.readbyqxmd.com/read/28227771/tracking-intrinsic-connectivity-brain-network-features-during-successive-pseudo-resting-states-and-interoceptive-task-fmri
#1
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
#2
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/28227633/beacon-based-opportunistic-scheduling-in-wireless-body-area-network
#3
Yang Zhou, Zhengguo Sheng, Victor C M Leung, Peyman Servati, Yang Zhou, Zhengguo Sheng, Victor C M Leung, Peyman Servati, Yang Zhou, Zhengguo Sheng, Victor C M Leung, Peyman Servati
Wireless Body Area Networks (WBANs) are one of the key technologies that support the development of digital health care, which has attracted increasing attention in recent years. Compared with general Wireless Sensor Networks (WSNs), WBANs have more stringent requirements on reliability and energy efficiency. Though WBANs are applied within limited transmission range, the on-body channel condition can be very challenging because of blocking or absorbing of signal. In this paper, we are looking into the design of Medium Access Control (MAC) protocols and propose an opportunistic scheduling scheme by applying heuristic scheduling and dynamic superframe length adjustment to improve the system performance...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227522/alpha-band-rhythm-suppression-during-memory-recall-reflecting-memory-performance
#4
Koichi Yokosawa, Keisuke Kimura, Ryota Chitose, Takuya Momiki, Shinya Kuriki, Koichi Yokosawa, Keisuke Kimura, Ryota Chitose, Takuya Momiki, Shinya Kuriki, Koichi Yokosawa, Keisuke Kimura, Ryota Chitose, Takuya Momiki, Shinya Kuriki
Alpha-band rhythm is thought to be involved in memory processes, similarly to other spontaneous brain rhythms. Ten right-handed healthy volunteers participated in our proposed sequential short-term memory task that provides a serial position effect in accuracy rate. We recorded alpha-band rhythms by magnetoencephalography during performance of the task and observed that the amplitude of the rhythm was suppressed dramatically in the memory recall period. The suppressed region was estimated to be in the occipital lobe, suggesting that alpha-band rhythm is suppressed by activation of the occipital attentional network...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227132/effect-specific-analysis-of-pathogenic-snvs-in-human-interactome-leveraging-edge-based-network-robustness
#5
Hongzhu Cui, Dmitry Korkin, Hongzhu Cui, Dmitry Korkin, Dmitry Korkin, Hongzhu Cui
Study of genetic variants in the context of molecular networks has recently gained much attention. However, many of these studies suffer from the lack of functional information about the network rewiring effect of genetic variants. After large-scale homology modeling, plus extracting native structure from PDB database, we performed structure-based prediction about the rewiring effect using our SNP-IN tool, and it covers significantly more variants than experimental characterization. The analysis result confirms the widespread perturbations in human interactome and reveals the network rewiring behavior based on edge-based network robustness concept...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227053/the-effects-of-deep-network-topology-on-mortality-prediction
#6
Hao Du, Mohammad M Ghassemi, Mengling Feng, Hao Du, Mohammad M Ghassemi, Mengling Feng, Mengling Feng, Hao Du, Mohammad M Ghassemi
Deep learning has achieved remarkable results in the areas of computer vision, speech recognition, natural language processing and most recently, even playing Go. The application of deep-learning to problems in healthcare, however, has gained attention only in recent years, and it's ultimate place at the bedside remains a topic of skeptical discussion. While there is a growing academic interest in the application of Machine Learning (ML) techniques to clinical problems, many in the clinical community see little incentive to upgrade from simpler methods, such as logistic regression, to deep learning...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226779/biologically-inspired-design-of-feedback-control-systems-implemented-using-dna-strand-displacement-reactions
#7
Mathias Foo, Rucha Sawlekar, Vishwesh V Kulkarni, Declan G Bates, Mathias Foo, Rucha Sawlekar, Vishwesh V Kulkarni, Declan G Bates, Vishwesh V Kulkarni, Rucha Sawlekar, Declan G Bates, Mathias Foo
The use of abstract chemical reaction networks (CRNs) as a modelling and design framework for the implementation of computing and control circuits using enzyme-free, entropy driven DNA strand displacement (DSD) reactions is starting to garner widespread attention in the area of synthetic biology. Previous work in this area has demonstrated the theoretical plausibility of using this approach to design biomolecular feedback control systems based on classical proportional-integral (PI) controllers, which may be constructed from CRNs implementing gain, summation and integrator operators...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226758/a-deep-bag-of-features-model-for-the-classification-of-melanomas-in-dermoscopy-images
#8
S Sabbaghi, M Aldeen, R Garnavi, S Sabbaghi, M Aldeen, R Garnavi, M Aldeen, S Sabbaghi, R Garnavi
Deep learning and unsupervised feature learning have received great attention in past years for their ability to transform input data into high level representations using machine learning techniques. Such interest has been growing steadily in the field of medical image diagnosis, particularly in melanoma classification. In this paper, a novel application of deep learning (stacked sparse auto-encoders) is presented for skin lesion classification task. The stacked sparse auto-encoder discovers latent information features in input images (pixel intensities)...
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
#9
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/28226578/automatic-prostate-segmentation-on-mr-images-with-deep-network-and-graph-model
#10
Ke Yan, Changyang Li, Xiuying Wang, Ang Li, Yuchen Yuan, Dagan Feng, Mohamed Khadra, Jinman Kim, Ke Yan, Changyang Li, Xiuying Wang, Ang Li, Yuchen Yuan, Dagan Feng, Mohamed Khadra, Jinman Kim, Ke Yan, Ang Li, Yuchen Yuan, Xiuying Wang, Jinman Kim, Dagan Feng, Changyang Li, Mohamed Khadra
Automated prostate diagnoses and treatments have gained much attention due to the high mortality rate of prostate cancer. In particular, unsupervised (automatic) prostate segmentation is an active and challenging research. Most conventional works usually utilize handcrafted (low-level) features for prostate segmentation; however they often fail to extract the intrinsic structure of the prostate, especially on images with blurred boundaries. In this paper, we propose a novel automated prostate segmentation model with learned features from deep network...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226306/task-dependent-modulation-of-amygdala-connectivity-in-social-anxiety-disorder
#11
Lora Minkova, Ronald Sladky, Georg S Kranz, Michael Woletz, Nicole Geissberger, Christoph Kraus, Rupert Lanzenberger, Christian Windischberger
Increased amygdala activation is consistently found in patients suffering from social anxiety disorder (SAD), a psychiatric condition characterized by an intense fear of social situations and scrutiny. Disruptions in the amygdalar-frontal network in SAD may explain the inability of frontal regions to appropriately down-regulate amygdalar hyper-activation. In this study, we measured 15 SAD patients and 15 healthy controls during an affective counting Stroop task with emotional faces to assess the interaction of affective stimuli with a cognitive task in SAD, as well as to investigate the causal interactions between the amygdala and the medial orbitofrontal cortex (OFC) using dynamic causal modeling (DCM)...
February 9, 2017: Psychiatry Research
https://www.readbyqxmd.com/read/28225155/remotely-supervised-transcranial-direct-current-stimulation-increases-the-benefit-of-at-home-cognitive-training-in-multiple-sclerosis
#12
Leigh Charvet, Michael Shaw, Bryan Dobbs, Ariana Frontario, Kathleen Sherman, Marom Bikson, Abhishek Datta, Lauren Krupp, Esmail Zeinapour, Margaret Kasschau
OBJECTIVE: To explore the efficacy of remotely-supervised transcranial direct current stimulation (RS-tDCS) paired with cognitive training (CT) exercise in participants with multiple sclerosis (MS). METHODS: In a feasibility study of RS-tDCS in MS, participants completed ten sessions of tDCS paired with CT (1.5 mA × 20 min, dorsolateral prefrontal cortex montage). RS-tDCS participants were compared to a control group of adults with MS who underwent ten 20-min CT sessions through the same remotely supervised procedures...
February 22, 2017: Neuromodulation: Journal of the International Neuromodulation Society
https://www.readbyqxmd.com/read/28224388/ocular-safety-of-intravitreal-clindamycin-hydrochloride-released-by-plga-implants
#13
Gabriella M Fernandes-Cunha, Silvia Ligório Fialho, Gisele Rodrigues da Silva, Armando Silva-Cunha, Min Zhao, Francine Behar-Cohen
BACKGROUND: Drug ocular toxicity is a field that requires attention. Clindamycin has been injected intravitreally to treat ocular toxoplasmosis, the most common cause of eye posterior segment infection worldwide. However, little is known about the toxicity of clindamycin to ocular tissues. We have previously showed non intraocular toxicity in rabbit eyes of poly(lactic-co-glycolic acid) (PLGA) implants containing clindamycin hydrochloride (CLH) using only clinical macroscotopic observation...
February 21, 2017: Pharmaceutical Research
https://www.readbyqxmd.com/read/28222381/domain-specific-and-domain-general-processes-underlying-metacognitive-judgments
#14
Lisa M Fitzgerald, Mahnaz Arvaneh, Paul M Dockree
Metacognition and self-awareness are commonly assumed to operate as global capacities. However, there have been few attempts to test this assumption across multiple cognitive domains and metacognitive evaluations. Here, we assessed the covariance between "online" metacognitive processes, as measured by decision confidence judgments in the domains of perception and memory, and error awareness in the domain of attention to action. Previous research investigating metacognition across task domains have not matched stimulus characteristics across tasks raising the possibility that any differences in metacognitive accuracy may be influenced by local task properties...
February 17, 2017: Consciousness and Cognition
https://www.readbyqxmd.com/read/28220826/different-brain-structures-associated-with-artistic-and-scientific-creativity-a-voxel-based-morphometry-study
#15
Baoguo Shi, Xiaoqing Cao, Qunlin Chen, Kaixiang Zhuang, Jiang Qiu
Creativity is the ability to produce original and valuable ideas or behaviors. In real life, artistic and scientific creativity promoted the development of human civilization; however, to date, no studies have systematically investigated differences in the brain structures responsible for artistic and scientific creativity in a large sample. Using voxel-based morphometry (VBM), this study identified differences in regional gray matter volume (GMV) across the brain between artistic and scientific creativity (assessed by the Creative Achievement Questionnaire) in 356 young, healthy subjects...
February 21, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28220517/brain-electrical-activity-signatures-during-performance-of-the-multisource-interference-task
#16
Alberto J González-Villar, Maria T Carrillo-de-la-Peña
The Multisource Interference Task (MSIT) was developed to test cognitive control in normal and pathological conditions and has become a reliable tool for exploring the integrity of cingulo-frontal-parietal cognitive/attentional networks in fMRI studies. Analysis of EEG recordings made during performance of the MSIT may provide additional information about the temporal dynamics of cognitive control. However, this has not yet been investigated in depth. In this study, we analyzed the ERPs and carried out time-frequency decomposition of EEG recorded during control and interference conditions of the MSIT...
February 21, 2017: Psychophysiology
https://www.readbyqxmd.com/read/28220070/neural-correlates-of-mirror-visual-feedback-induced-performance-improvements-a-resting-state-fmri-study
#17
Viola Rjosk, Jöran Lepsien, Elisabeth Kaminski, Maike Hoff, Bernhard Sehm, Christopher J Steele, Arno Villringer, Patrick Ragert
Mirror visual feedback (MVF) is a promising approach to enhance motor performance without training in healthy adults as well as in patients with focal brain lesions. There is preliminary evidence that a functional modulation within and between primary motor cortices as assessed with transcranial magnetic stimulation (TMS) might be one candidate mechanism mediating the observed behavioral effects. Recently, studies using task-based functional magnetic resonance imaging (fMRI) have indicated that MVF-induced functional changes might not be restricted to the primary motor cortex (M1) but also include higher order regions responsible for perceptual-motor coordination and visual attention...
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
#18
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/28217095/endogenous-protein-interactome-of-human-udp-glucuronosyltransferases-exposed-by-untargeted-proteomics
#19
Michèle Rouleau, Yannick Audet-Delage, Sylvie Desjardins, Mélanie Rouleau, Camille Girard-Bock, Chantal Guillemette
The conjugative metabolism mediated by UDP-glucuronosyltransferase enzymes (UGTs) significantly influences the bioavailability and biological responses of endogenous molecule substrates and xenobiotics including drugs. UGTs participate in the regulation of cellular homeostasis by limiting stress induced by toxic molecules, and by controlling hormonal signaling networks. Glucuronidation is highly regulated at genomic, transcriptional, post-transcriptional and post-translational levels. However, the UGT protein interaction network, which is likely to influence glucuronidation, has received little attention...
2017: Frontiers in Pharmacology
https://www.readbyqxmd.com/read/28214927/spatiotemporal-differentiation-in-auditory-and-motor-regions-during-auditory-phoneme-discrimination
#20
Annelies Aerts, Gregor Strobbe, Pieter van Mierlo, Robert J Hartsuiker, Paul Corthals, Patrick Santens, Miet De Letter
Auditory phoneme discrimination (APD) is supported by both auditory and motor regions through a sensorimotor interface embedded in a fronto-temporo-parietal cortical network. However, the specific spatiotemporal organization of this network during APD with respect to different types of phonemic contrasts is still unclear. Here, we use source reconstruction, applied to event-related potentials in a group of 47 participants, to uncover a potential spatiotemporal differentiation in these brain regions during a passive and active APD task with respect to place of articulation (PoA), voicing and manner of articulation (MoA)...
February 18, 2017: Acta Neurologica Belgica
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