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https://www.readbyqxmd.com/read/28214332/comparison-of-several-white-matter-tracts-in-feline-and-canine-brain-by-using-magnetic-resonance-diffusion-tensor-imaging
#1
Olivier Jacqmot, Bert Van Thielen, Alex Michotte, Inneke Willekens, Filip Verhelle, Peter Goossens, Filip De Ridder, Jan Pieter Clarys, Anne Vanbinst, Cindy Peleman, Johan de Mey
Recently, we published a first anatomical Diffusion Tensor Imaging (DTI) atlas regarding white matter tracts in the canine brain. The purpose of this study was to show the significance of DTI in the revelation of the white matter fibres in the feline brain (i.e. to obtain an anatomical DTI atlas of images) and to descriptively compare these to previously obtained white matter fibre images of the canine brain. DTI MR Images of 4 cats euthanised for reasons other than neurological disorders were obtained with a 3 T system...
February 18, 2017: Anatomical Record: Advances in Integrative Anatomy and Evolutionary Biology
https://www.readbyqxmd.com/read/28214015/anomalous-network-architecture-of-the-resting-brain-in-children-who-stutter
#2
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/28213194/subcortical-mapping-using-an-electrified-cusa-in-pediatric-supratentorial-surgery
#3
Jonathan Roth, Akiva Korn, Yifat Bitan-Talmor, Rivka Kaufman, Margaret Ekstein, Shlomi Constantini
BACKGROUND: Intraoperative electrophysiology is increasingly used for various lesion resections, both in adult and pediatric brain surgery. Subcortical mapping is often used in adult surgery when lesions lie in proximity to the corticospinal tract (CST). We describe a novel technique of continuous subcortical mapping using an electrified Cavitron UltraSonic Aspirator (CUSA) in children with supratentorial lesions. METHODS: We evaluated the method of subcortical mapping using a CUSA as a stimulation probe...
February 14, 2017: World Neurosurgery
https://www.readbyqxmd.com/read/28213116/pushing-the-limits-of-ultra-high-resolution-human-brain-imaging-with-sms-epi-demonstrated-for-columnar-level-fmri
#4
David A Feinberg, An T Vu, Alexander Beckett
Encoding higher spatial resolution in simultaneous multi-slice (SMS) EPI is highly dependent on gradient performance, high density receiver coil arrays and pulse sequence optimization. We simulate gradient amplitude and slew rate determination of EPI imaging performance in terms of minimum TE, echo spacing (ES) and spatial resolution. We discuss the effects of image zooming in pulse sequences that have been used for sub-millimeter resolutions and the trade-offs in using partial Fourier and parallel imaging to reduce TE, PSF and ES...
February 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28212955/health-state-preference-weights-for-the-glasgow-outcome-scale-following-traumatic-brain-injury-a-systematic-review-and-mapping-study
#5
Gordon Ward Fuller, Monica Hernandez, David Pallot, Fiona Lecky, Mathew Stevenson, Belinda Gabbe
BACKGROUND: Valid and relevant estimates of health state preference weights (HSPWs) for Glasgow Outcome Scale (GOS) categories are a key input of economic models evaluating treatments for traumatic brain injury (TBI). OBJECTIVES: To characterize existing HSPW estimates, and model the EuroQol five-dimensional questionnaire (EQ-5D) from the GOS, to inform parameterization of future economic models. METHODS: A systematic review of HSPWs for GOS categories following TBI was conducted using a highly sensitive search strategy implemented in an extensive range of information sources between 1975 and 2016...
January 2017: Value in Health: the Journal of the International Society for Pharmacoeconomics and Outcomes Research
https://www.readbyqxmd.com/read/28212627/genome-wide-identification-of-direct-hbx-genomic-targets
#6
Francesca Guerrieri, Laura Belloni, Daniel D'Andrea, Natalia Pediconi, Loredana Le Pera, Barbara Testoni, Cecilia Scisciani, Oceane Floriot, Fabien Zoulim, Anna Tramontano, Massimo Levrero
BACKGROUND: The Hepatitis B Virus (HBV) HBx regulatory protein is required for HBV replication and involved in HBV-related carcinogenesis. HBx interacts with chromatin modifying enzymes and transcription factors to modulate histone post-translational modifications and to regulate viral cccDNA transcription and cellular gene expression. Aiming to identify genes and non-coding RNAs (ncRNAs) directly targeted by HBx, we performed a chromatin immunoprecipitation sequencing (ChIP-Seq) to analyse HBV recruitment on host cell chromatin in cells replicating HBV...
February 17, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28212563/progression-of-motor-deficits-in-glioma-bearing-mice-impact-of-cnf1-therapy-at-symptomatic-stages
#7
Eleonora Vannini, Federica Maltese, Francesco Olimpico, Alessia Fabbri, Mario Costa, Matteo Caleo, Laura Baroncelli
Glioblastoma (GBM) is the most aggressive type of brain tumor. In this context, animal models represent excellent tools for the early detection and longitudinal mapping of neuronal dysfunction, that are critical in the preclinical validation of new therapeutic strategies. In a mouse glioma model, we developed sensitive behavioral readouts that allow early recognizing and following neurological symptoms. We injected GL261 cells into the primary motor cortex of syngenic mice and we used a battery of behavioral tests to longitudinally monitor the dysfunction induced by tumor growth...
February 15, 2017: Oncotarget
https://www.readbyqxmd.com/read/28212278/the-effect-of-the-human-peptide-ghk-on-gene-expression-relevant-to-nervous-system-function-and-cognitive-decline
#8
Loren Pickart, Jessica Michelle Vasquez-Soltero, Anna Margolina
Neurodegeneration, the progressive death of neurons, loss of brain function, and cognitive decline is an increasing problem for senior populations. Its causes are poorly understood and therapies are largely ineffective. Neurons, with high energy and oxygen requirements, are especially vulnerable to detrimental factors, including age-related dysregulation of biochemical pathways caused by altered expression of multiple genes. GHK (glycyl-l-histidyl-l-lysine) is a human copper-binding peptide with biological actions that appear to counter aging-associated diseases and conditions...
February 15, 2017: Brain Sciences
https://www.readbyqxmd.com/read/28211963/a-parametric-model-of-the-brain-vascular-system-for-estimation-of-the-arterial-input-function-aif-at-the-tissue-level
#9
Siamak P Nejad-Davarani, Hassan Bagher-Ebadian, James R Ewing, Douglas C Noll, Tom Mikkelsen, Michael Chopp, Quan Jiang
In this paper, we introduce a novel model of the brain vascular system, which is developed based on laws of fluid dynamics and vascular morphology. This model is used to address dispersion and delay of the arterial input function (AIF) at different levels of the vascular structure and to estimate the local AIF in DCE images. We developed a method based on the simplex algorithm and Akaike information criterion to estimate the likelihood of the contrast agent concentration signal sampled in DCE images belonging to different layers of the vascular tree or being a combination of different signal levels from different nodes of this structure...
February 17, 2017: NMR in Biomedicine
https://www.readbyqxmd.com/read/28210983/multi-view-ensemble-classification-of-brain-connectivity-images-for-neurodegeneration-type-discrimination
#10
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/28207387/distortion-correction-in-fetal-epi-using-non-rigid-registration-with-a-laplacian-constraint
#11
Maria Kuklisova Murgasova, Georgia Lockwood-Estrin, Rita G Nunes, Shaihan Malik, Mary Rutherford, Daniel Rueckert, Joseph Hajnal
Geometric distortion induced by the main B0 field disrupts the consistency of fetal EPI data, on which diffusion and functional MRI is based. In this paper we present a novel data-driven method for simultaneous motion and distortion correction of fetal EPI. A motion-corrected and reconstructed T2 weighted ssFSE volume is used as a model of undistorted fetal brain anatomy. Our algorithm interleaves two registration steps: estimation of fetal motion parameters by aligning EPI slices to the model; and deformable registration of EPI slices to slices simulated from the undistorted model to estimate the distortion field...
February 9, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28207200/a-pet-guided-framework-supports-a-multiple-arterial-input-functions-approach-in-dsc-mri-in-acute-stroke
#12
Michelle Livne, Vince I Madai, Peter Brunecker, Olivier Zaro-Weber, Walter Moeller-Hartmann, Wolf-Dieter Heiss, Kim Mouridsen, Jan Sobesky
BACKGROUND AND PURPOSE: In acute stroke, arterial-input-function (AIF) determination is essential for obtaining perfusion estimates with dynamic susceptibility-weighted contrast-enhanced magnetic resonance imaging (DSC-MRI). Standard DSC-MRI postprocessing applies single AIF selection, ie, global AIF. Physiological considerations, however, suggest that a multiple AIFs selection method would improve perfusion estimates to detect penumbral flow. In this study, we developed a framework based on comparable DSC-MRI and positron emission tomography (PET) images to compare the two AIF selection approaches and assess their performance in penumbral flow detection in acute stroke...
February 16, 2017: Journal of Neuroimaging: Official Journal of the American Society of Neuroimaging
https://www.readbyqxmd.com/read/28203146/insulin-like-growth-factor-1-at-the-crossroads-of-brain-development-and-aging
#13
REVIEW
Sarah Wrigley, Donia Arafa, Daniela Tropea
Insulin-like growth factor 1 (IGF1) is a polypeptide hormone structurally similar to insulin. It is central to the somatotropic axis, acting downstream of growth hormone (GH). It activates both the mitogen-activated protein (MAP) kinase and PI3K signaling pathways, acting in almost every tissue in the body to promote tissue growth and maturation through upregulation of anabolic processes. Overall GH and IGF1 signaling falls with age, suggesting that it is this reduced IGF1 activity that leads to age-related changes in organisms...
2017: Frontiers in Cellular Neuroscience
https://www.readbyqxmd.com/read/28197685/test-retest-measurements-of-dopamine-d1-type-receptors-using-simultaneous-pet-mri-imaging
#14
Simon Kaller, Michael Rullmann, Marianne Patt, Georg-Alexander Becker, Julia Luthardt, Johanna Girbardt, Philipp M Meyer, Peter Werner, Henryk Barthel, Anke Bresch, Thomas H Fritz, Swen Hesse, Osama Sabri
PURPOSE: The role of dopamine D1-type receptor (D1R)-expressing neurons in the regulation of motivated behavior and reward prediction has not yet been fully established. As a prerequisite for future research assessing D1-mediated neuronal network regulation using simultaneous PET/MRI and D1R-selective [(11)C]SCH23390, this study investigated the stability of central D1R measurements between two independent PET/MRI sessions under baseline conditions. METHODS: Thirteen healthy volunteers (7 female, age 33 ± 13 yrs) underwent 90-min emission scans, each after 90-s bolus injection of 486 ± 16 MBq [(11)C]SCH23390, on two separate days within 2-4 weeks using a PET/MRI system...
February 14, 2017: European Journal of Nuclear Medicine and Molecular Imaging
https://www.readbyqxmd.com/read/28197403/network-plasticity-and-intraoperative-mapping-for-personalized-multimodal-management-of-diffuse-low-grade-gliomas
#15
REVIEW
Cristina Diana Ghinda, Hugues Duffau
Gliomas are the most frequent primary brain tumors and include a variety of different histological tumor types and malignancy grades. Recent achievements in terms of molecular and imaging fields have created an unprecedented opportunity to perform a comprehensive interdisciplinary assessment of the glioma pathophysiology, with direct implications in terms of the medical and surgical treatment strategies available for patients. The current paradigm shift considers glioma management in a comprehensive perspective that takes into account the intricate connectivity of the cerebral networks...
2017: Frontiers in Surgery
https://www.readbyqxmd.com/read/28197095/increase-of-trem2-during-aging-of-an-alzheimer-s-disease-mouse-model-is-paralleled-by-microglial-activation-and-amyloidosis
#16
Matthias Brendel, Gernot Kleinberger, Federico Probst, Anna Jaworska, Felix Overhoff, Tanja Blume, Nathalie L Albert, Janette Carlsen, Simon Lindner, Franz Josef Gildehaus, Laurence Ozmen, Marc Suárez-Calvet, Peter Bartenstein, Karlheinz Baumann, Michael Ewers, Jochen Herms, Christian Haass, Axel Rominger
Heterozygous missense mutations in the triggering receptor expressed on myeloid cells 2 (TREM2) have been reported to significantly increase the risk of developing Alzheimer's disease (AD). Since TREM2 is specifically expressed by microglia in the brain, we hypothesized that soluble TREM2 (sTREM2) levels may increase together with in vivo biomarkers of microglial activity and amyloidosis in an AD mouse model as assessed by small animal positron-emission-tomography (μPET). In this cross-sectional study, we examined a strong amyloid mouse model (PS2APP) of four age groups by μPET with [(18)F]-GE180 (glial activation) and [(18)F]-florbetaben (amyloidosis), followed by measurement of sTREM2 levels and amyloid levels in the brain...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28197092/bci-control-of-heuristic-search-algorithms
#17
Marc Cavazza, Gabor Aranyi, Fred Charles
The ability to develop Brain-Computer Interfaces (BCI) to Intelligent Systems would offer new perspectives in terms of human supervision of complex Artificial Intelligence (AI) systems, as well as supporting new types of applications. In this article, we introduce a basic mechanism for the control of heuristic search through fNIRS-based BCI. The rationale is that heuristic search is not only a basic AI mechanism but also one still at the heart of many different AI systems. We investigate how users' mental disposition can be harnessed to influence the performance of heuristic search algorithm through a mechanism of precision-complexity exchange...
2017: Frontiers in Neuroinformatics
https://www.readbyqxmd.com/read/28197066/patch-based-super-resolution-of-mr-spectroscopic-images-application-to-multiple-sclerosis
#18
Saurabh Jain, Diana M Sima, Faezeh Sanaei Nezhad, Gilbert Hangel, Wolfgang Bogner, Stephen Williams, Sabine Van Huffel, Frederik Maes, Dirk Smeets
Purpose: Magnetic resonance spectroscopic imaging (MRSI) provides complementary information to conventional magnetic resonance imaging. Acquiring high resolution MRSI is time consuming and requires complex reconstruction techniques. Methods: In this paper, a patch-based super-resolution method is presented to increase the spatial resolution of metabolite maps computed from MRSI. The proposed method uses high resolution anatomical MR images (T1-weighted and Fluid-attenuated inversion recovery) to regularize the super-resolution process...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28196374/the-visual-white-matter-the-application-of-diffusion-mri-and-fiber-tractography-to-vision-science
#19
Ariel Rokem, Hiromasa Takemura, Andrew S Bock, K Suzanne Scherf, Marlene Behrmann, Brian A Wandell, Ione Fine, Holly Bridge, Franco Pestilli
Visual neuroscience has traditionally focused much of its attention on understanding the response properties of single neurons or neuronal ensembles. The visual white matter and the long-range neuronal connections it supports are fundamental in establishing such neuronal response properties and visual function. This review article provides an introduction to measurements and methods to study the human visual white matter using diffusion MRI. These methods allow us to measure the microstructural and macrostructural properties of the white matter in living human individuals; they allow us to trace long-range connections between neurons in different parts of the visual system and to measure the biophysical properties of these connections...
February 1, 2017: Journal of Vision
https://www.readbyqxmd.com/read/28195583/longitudinal-test-retest-neuroimaging-data-from-healthy-young-adults-in-southwest-china
#20
Wei Liu, Dongtao Wei, Qunlin Chen, Wenjing Yang, Jie Meng, Guorong Wu, Taiyong Bi, Qinglin Zhang, Xi-Nian Zuo, Jiang Qiu
Multimodal magnetic resonance imaging (mMRI) has been widely used to map the structure and function of the human brain, as well as its behavioral associations. However, to date, a large sample with a long-term longitudinal design and a narrow age-span has been lacking for the assessment of test-retest reliability and reproducibility of brain-behavior correlations, as well as the development of novel causal insights into these correlational findings. Here we describe the SLIM dataset, which includes brain and behavioral data across a long-term retest-duration within three and a half years, mMRI scans provided a set of structural, diffusion and resting-state functional MRI images, along with rich samples of behavioral assessments addressed-demographic, cognitive and emotional information...
February 14, 2017: Scientific Data
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