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https://www.readbyqxmd.com/read/28936494/detection-of-intracranial-hypertension-using-deep-learning
#1
Benjamin Quachtran, Robert Hamilton, Fabien Scalzo
Intracranial Hypertension, a disorder characterized by elevated pressure in the brain, is typically monitored in neurointensive care and diagnosed only after elevation has occurred. This reaction-based method of treatment leaves patients at higher risk of additional complications in case of misdetection. The detection of intracranial hypertension has been the subject of many recent studies in an attempt to accurately characterize the causes of hypertension, specifically examining waveform morphology. We investigate the use of Deep Learning, a hierarchical form of machine learning, to model the relationship between hypertension and waveform morphology, giving us the ability to accurately detect presence hypertension...
December 2016: Proceedings of the ... IAPR International Conference on Pattern Recognition
https://www.readbyqxmd.com/read/28936489/landmark-based-alzheimer-s-disease-diagnosis-using-longitudinal-structural-mr-images
#2
Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen
In this paper, we propose a landmark-based feature extraction method for AD diagnosis using longitudinal structural MR images, which requires no nonlinear registration or tissue segmentation in the application stage and is robust to the inconsistency among longitudinal scans. Specifically, (1) the discriminative landmarks are first automatically discovered from the whole brain, which can be efficiently localized using a fast landmark detection method for the testing images; (2) High-level statistical spatial features and contextual longitudinal features are then extracted based on those detected landmarks...
October 2016: Bayesian and Graphical Models for Biomedical Imaging: BAMBI 2014
https://www.readbyqxmd.com/read/28934323/identification-chromosomal-arrangements-and-expression-analyses-of-the-evolutionarily-conserved-prmt1-gene-in-chicken-in-comparison-with-its-vertebrate-paralogue-prmt8
#3
Yi-Chun Wang, Chien-Wen Wang, Wen-Chang Lin, Yun-Jung Tsai, Chien-Ping Chang, Yu-Jen Lee, Min-Jon Lin, Chuan Li
Nine protein arginine methyltransferases (PRMTs) are conserved in mammals and fish. Among these, PRMT1 is the major type I PRMT for asymmetric dimethylarginine (ADMA) formation and is the most conserved and widely distributed one. Two chicken prmt1 splicing variants were assembled and confirmed by RT-PCR experiments. However, only two scaffolds containing single separate prmt1 exon with high GC contents are present in the current chicken genome assembly. Besides, prmt1 exons are scattered in separate small scaffolds in most avian species...
2017: PloS One
https://www.readbyqxmd.com/read/28931264/assessment-of-the-accuracy-and-errors-of-head-up-display-by-an-optical-neuronavigation-system-in-brain-tumor-surgery
#4
Kenichiro Asano, Kosuke Katayama, Kiyohide Kakuta, Kanae Oyama, Hiroki Ohkuma
BACKGROUND: A head-up display (HUD) in which navigational information is projected into the microscope view may enable surgeons to perform operations more efficiently. Projecting depictions of both tumor and important intracranial structures on the HUD may facilitate safe surgery. OBJECTIVE: To investigate accuracy and errors regarding important intracranial structures, errors due to brain shifts, and preservation rates for important intracranial structures. METHODS: A total of 184 surgeries in 172 patients were performed using this operation system...
February 1, 2017: Operative Neurosurgery (Hagerstown, Md.)
https://www.readbyqxmd.com/read/28930540/electrophysiological-evidence-for-long-axis-intrinsic-diversification-of-the-hippocampus
#5
Costas Papatheodoropoulos
The elongated structure of the hippocampus is critically involved in brain functions of profound importance. The segregation of functions along the longitudinal (septotemporal or dorsoventral) axis of the hippocampus is a slowly developed concept and currently is a widely accepted idea. The segregation of neuroanatomical connections along the hippocampal long axis can provide a basis for the interpretation of the functional segregation. However, an emerging and growing body of data strongly suggests the existence of endogenous diversification in the properties of the local neural network along the long axis of the hippocampus...
January 1, 2018: Frontiers in Bioscience (Landmark Edition)
https://www.readbyqxmd.com/read/28930084/high-nervous-necrosis-virus-nnv-diversity-in-wild-wrasse-labridae-in-norway-and-sweden
#6
Kjetil Korsnes, Egil Karlsbakk, Cecilie K Skår, Lisbeth Sælemyr, Are Nylund, Bjørn Olav Kvamme, Stein Mortensen
Wild goldsinny wrasse Ctenolabrus rupestris, corkwing wrasse Symphodus melops and ballan wrasse Labrus bergylta were collected at 8 sampling sites in Sweden and Norway during summer 2014. Brain tissue from 466 wrasses were analyzed for nervous necrosis virus (NNV) infections by real-time RT-PCR, and positive samples were subjected to sequencing and phylogenetic analysis of partial segments of the RNA2 and RNA1 genes. This study shows that NNV is present in wild ballan, corkwing and goldsinny wrasse along the coastline of Sweden and Norway...
September 20, 2017: Diseases of Aquatic Organisms
https://www.readbyqxmd.com/read/28929417/a-metaheuristically-tuned-interval-type-2-fuzzy-system-to-reduce-segmentation-uncertainty-in-brain-mri-images
#7
Abolfazl Taghribi, Saeed Sharifian
Precise segmentation of magnetic resonance image (MRI) seems challenging because of the complex structure of the brain, non-uniform field in images, and noise. As a result, decision-making is associated with uncertainty. Fuzzy based approaches have been developed to overcome this problem, though most of them use fuzzy type 1 method, and sometimes contain a pre-processing step. This paper "modified type 2 fuzzy system" (MT2FS) declares a state-of-the-art method to segment MRI images using interval fuzzy type-2...
September 19, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28928705/the-role-of-t1-weighted-derived-measures-of-neurodegeneration-for-assessing-disability-progression-in-multiple-sclerosis
#8
REVIEW
Maria A Rocca, Giancarlo Comi, Massimo Filippi
INTRODUCTION: Multiple sclerosis (MS) is characterised by the accumulation of permanent neurological disability secondary to irreversible tissue loss (neurodegeneration) in the brain and spinal cord. MRI measures derived from T1-weighted image analysis (i.e., black holes and atrophy) are correlated with pathological measures of irreversible tissue loss. Quantifying the degree of neurodegeneration in vivo using MRI may offer a surrogate marker with which to predict disability progression and the effect of treatment...
2017: Frontiers in Neurology
https://www.readbyqxmd.com/read/28928692/contour-integration-in-dynamic-scenes-impaired-detection-performance-in-extended-presentations
#9
Axel Grzymisch, Cathleen Grimsen, Udo A Ernst
Since scenes in nature are highly dynamic, perception requires an on-going and robust integration of local information into global representations. In vision, contour integration (CI) is one of these tasks, and it is performed by our brain in a seemingly effortless manner. Following the rule of good continuation, oriented line segments are linked into contour percepts, thus supporting important visual computations such as the detection of object boundaries. This process has been studied almost exclusively using static stimuli, raising the question of whether the observed robustness and "pop-out" quality of CI carries over to dynamic scenes...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28927207/surgical-approaches-to-the-temporal-horn-an-anatomic-analysis-of-white-matter-tract-interruption
#10
Paulo A S Kadri, Jean G de Oliveira, Niklaus Krayenbühl, Ugur Türe, Evandro P L de Oliveira, Ossama Al-Mefty, Guilherme C Ribas
BACKGROUND: Surgical access to the temporal horn is necessary to treat tumors and vascular lesions, but is used mainly in patients with mediobasal temporal epilepsy. The surgical approaches to this cavity fall into 3 primary categories: lateral, inferior, and transsylvian. The current neurosurgical literature has underestimated the interruption of involved fiber bundles and the correlated clinical manifestations. OBJECTIVE: To delineate the interruption of fiber bundles during the different approaches to the temporal horn...
April 1, 2017: Operative Neurosurgery (Hagerstown, Md.)
https://www.readbyqxmd.com/read/28926610/image-similarity-evaluation-of-the-bulk-density-assigned-synthetic-ct-derived-from-mri-of-intracranial-regions-for-radiation-treatment
#11
Shin-Wook Kim, Hun-Joo Shin, Jin-Ho Hwang, Jin-Sol Shin, Sung-Kwang Park, Jin-Young Kim, Ki-Jun Kim, Chul-Seung Kay, Young-Nam Kang
OBJECTIVE: Various methods for radiation-dose calculation have been investigated over previous decades, focusing on the use of magnetic resonance imaging (MRI) only. The bulk-density-assignment method based on manual segmentation has exhibited promising results compared to dose-calculation with computed tomography (CT). However, this method cannot be easily implemented in clinical practice due to its time-consuming nature. Therefore, we investigated an automatic anatomy segmentation method with the intention of providing the proper methodology to evaluate synthetic CT images for a radiation-dose calculation based on MR images...
2017: PloS One
https://www.readbyqxmd.com/read/28925823/deep-learning-mr-imaging-based-attenuation-correction-for-pet-mr-imaging
#12
Fang Liu, Hyungseok Jang, Richard Kijowski, Tyler Bradshaw, Alan B McMillan
Purpose To develop and evaluate the feasibility of deep learning approaches for magnetic resonance (MR) imaging-based attenuation correction (AC) (termed deep MRAC) in brain positron emission tomography (PET)/MR imaging. Materials and Methods A PET/MR imaging AC pipeline was built by using a deep learning approach to generate pseudo computed tomographic (CT) scans from MR images. A deep convolutional auto-encoder network was trained to identify air, bone, and soft tissue in volumetric head MR images coregistered to CT data for training...
September 19, 2017: Radiology
https://www.readbyqxmd.com/read/28925375/modelling-the-effect-of-electrode-displacement-on-transcranial-direct-current-stimulation-tdcs
#13
Sriharsha Ramaraju, Mohammed Ali Roula, Peter McCarthy
Transcranial Direct Current Stimulation (tDCS) is a neuromodulatory technique that delivers a low-intensity, direct current to cortical areas with the purpose of modulating underlying brain activity. Recent studies have reported inconsistencies in tDCS outcomes. The underlying assumption of many tDCS studies has been that replication of electrode montage equates to replicating stimulation conditions. It is possible however that anatomical difference between subjects, as well as inherent inaccuracies in montage placement, could affect current flow to targeted areas...
September 19, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28925106/myelin-development-plasticity-and-pathology-in-the-auditory-system
#14
REVIEW
Patrick Long, Guoqiang Wan, Michael T Roberts, Gabriel Corfas
Myelin allows for the rapid and precise timing of action potential propagation along neuronal circuits and is essential for healthy auditory system function. In this review we discuss what is currently known about myelin in the auditory system with a focus on the timing of myelination during auditory system development, the role of myelin in supporting peripheral and central auditory circuit function, and how various myelin pathologies compromise auditory information processing. Additionally, in keeping with the increasing recognition that myelin is dynamic and is influenced by experience throughout life, we review the growing evidence that auditory sensory deprivation alters myelin along specific segments of the brain's auditory circuit...
September 19, 2017: Developmental Neurobiology
https://www.readbyqxmd.com/read/28922832/fast-spiking-parvalbumin-interneurons-are-frequently-myelinated-in-the-cerebral-cortex-of-mice-and-humans
#15
J Stedehouder, J J Couey, D Brizee, B Hosseini, J A Slotman, C M F Dirven, G Shpak, A B Houtsmuller, S A Kushner
Myelination, the insulating ensheathment of axons by oligodendrocytes, is thought to both optimize signal propagation and provide metabolic support. Despite the well-established physiological importance of myelination to neuronal function, relatively little is known about the myelination of GABAergic interneurons in the cerebral cortex. Here, we report that a large fraction of myelin in mouse cerebral cortex ensheaths GABAergic interneurons, reaching up to 80% in hippocampal subregions. Moreover, we find that a very high proportion of neocortical and hippocampal parvalbumin (PV) interneurons exhibit axonal myelination...
October 1, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28921541/automatic-labeling-of-mr-brain-images-through-extensible-learning-and-atlas-forests
#16
Lijun Xu, Hong Liu, Enmin Song, Meng Yan, Renchao Jin, Chih-Cheng Hung
PURPOSE: Multi-atlas-based method is extensively used in MR brain images segmentation because of its simplicity and robustness. This method provides excellent accuracy while time-consuming and limited in terms of obtaining information about new atlases. In this study, an automatic labeling of MR brain images through extensible learning and atlas forest is presented to address these limitations. METHODS: We propose an extensible learning model which allows the multi-atlas-based framework capable of managing the datasets with numerous atlases or dynamic atlas datasets and simultaneously ensure the accuracy of automatic labeling...
September 18, 2017: Medical Physics
https://www.readbyqxmd.com/read/28921167/brain-structural-concomitants-of-resting-state-heart-rate-variability-in-the-young-and-old-evidence-from-two-independent-samples
#17
Hyun Joo Yoo, Julian F Thayer, Steven Greening, Tae-Ho Lee, Allison Ponzio, Jungwon Min, Michiko Sakaki, Lin Nga, Mara Mather, Julian Koenig
Previous research has shown associations between brain structure and resting state high-frequency heart rate variability (HF HRV). Age affects both brain structure and HF HRV. Therefore, we sought to examine the relationship between brain structure and HF HRV as a function of age. Data from two independent studies were used for the present analysis. Study 1 included 19 older adults (10 males, age range 62-78 years) and 19 younger adults (12 males, age range 19-37). Study 2 included 23 older adults (12 males; age range 55-75) and 27 younger adults (17 males; age range 18-34)...
September 18, 2017: Brain Structure & Function
https://www.readbyqxmd.com/read/28919030/investigating-the-familiarity-effect-in-texture-segmentation-by-means-of-event-related-brain-potentials
#18
L Becker, D T Smith, T Schenk
The familiarity effect (FE) refers to the phenomenon that it is easier to find an unfamiliar element on a background of familiar elements than vice versa. In this study, we examined the FE in texture segmentation while recording event-related brain potentials with the aim to find out which processing stages were influenced by familiarity. In two experiments, with different levels of texture homogeneity, the N1, the N2p, and the P3 components were investigated. It was found that the FE in texture segmentation is associated with a modulation of the early N1 and of the intermediate N2p component for homogeneous textures...
September 21, 2017: Vision Research
https://www.readbyqxmd.com/read/28918316/mr-guided-joint-reconstruction-of-activity-and-attenuation-in-brain-pet-mr
#19
Abolfazl Mehranian, Habib Zaidi, Andrew J Reader
With the advent of time-of-flight (TOF) PET scanners, joint maximum-likelihood reconstruction of activity and attenuation (MLAA) maps has recently regained attention for the estimation of PET attenuation maps from emission data. However, the estimated attenuation and activity maps are scaled by unknown scaling factors. We recently demonstrated that in hybrid PET-MR, the scaling issue of this algorithm can be effectively addressed by imposing MR spatial constraints on the estimation of attenuation maps using a penalized MLAA (P-MLAA(+)) algorithm...
September 13, 2017: NeuroImage
https://www.readbyqxmd.com/read/28914549/age-groups-related-glioblastoma-study-based-on-radiomics-approach
#20
Zeju Li, Yuanyuan Wang, Jinhua Yu, Yi Guo, Qi Zhang
Glioblastoma is the most aggressive malignant brain tumor with poor prognosis. Radiomics is a newly emerging and promising technique to reveal the complex relationships between high-throughput medical image features and deep information of disease including pathology, biomarkers and genomics. An approach was developed to investigate the internal relationship between magnetic resonance imaging (MRI) features and the age-related origins of glioblastomas based on a quantitative radiomics method. A fully automatic image segmentation method was applied to segment the tumor regions from three dimensional MRI images...
September 15, 2017: Computer Assisted Surgery (Abingdon, England)
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