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https://www.readbyqxmd.com/read/28453640/pioneering-topological-methods-for-network-based-drug-target-prediction-by-exploiting-a-brain-network-self-organization-theory
#1
Claudio Durán, Simone Daminelli, Josephine M Thomas, V Joachim Haupt, Michael Schroeder, Carlo Vittorio Cannistraci
The bipartite network representation of the drug-target interactions (DTIs) in a biosystem enhances understanding of the drugs' multifaceted action modes, suggests therapeutic switching for approved drugs and unveils possible side effects. As experimental testing of DTIs is costly and time-consuming, computational predictors are of great aid. Here, for the first time, state-of-the-art DTI supervised predictors custom-made in network biology were compared-using standard and innovative validation frameworks-with unsupervised pure topological-based models designed for general-purpose link prediction in bipartite networks...
April 26, 2017: Briefings in Bioinformatics
https://www.readbyqxmd.com/read/28447767/biopsy-versus-resection-for-the-management-of-low-grade-gliomas
#2
REVIEW
Bowen Jiang, Kaisorn Chaichana, Anand Veeravagu, Steven D Chang, Keith L Black, Chirag G Patil
BACKGROUND: This is an updated version of the original Cochrane review published in 2013, Issue 4.Low-grade gliomas (LGG) constitute a class of slow-growing primary brain neoplasms. Patients with clinically and radiographically suspected LGG have two initial surgical options, biopsy or resection. Biopsy can provide a histological diagnosis with minimal risk but does not offer a direct treatment. Resection may have additional benefits such as increasing survival and delaying recurrence, but is associated with a higher risk for surgical morbidity...
April 27, 2017: Cochrane Database of Systematic Reviews
https://www.readbyqxmd.com/read/28447245/neuroanatomical-variations-as-a-function-of-experience-in-a-complex-daily-task-a-vbm-and-dti-study-on-driving-experience
#3
Alberto Megías, D Petrova, J F Navas, A Cándido, A Maldonado, A Catena
Complex tasks require the learning and integration of multiple cognitive, sensory, and psychomotor skills for correct execution. Driving-related skills are developed step by step through the increase of mileage driven and the accumulation of practice in different traffic situations. The acquisition of these skills should be reflected in the brain structure. However, no previous studies have explored brain structural variations associated with driving experience. The aim of the present study was to investigate whether driving frequency, defined as average annual driving mileage, is related to neuroanatomical variations in gray matter (GM) volume and white matter (WM) integrity using voxel-based morphometry (VBM) and DTI-based fractional anisotropy (FA), respectively...
April 26, 2017: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/28447147/diffusion-kurtosis-as-an-in-vivo-imaging-marker-of-early-radiation-induced-changes-in-radiation-induced-temporal-lobe-necrosis-in-nasopharyngeal-carcinoma-patients
#4
Lu Liyan, Wang Si, Wang Qian, Shao Yuhui, Wei Xiaoer, Li Yuehua, Li Wenbin
PURPOSE: Diffusion kurtosis imaging (DKI), an extension of the popular diffusion tensor imaging (DTI) model, has been applied in clinical studies of brain tissue changes. We explored the value of DKI for the early detection of radiation-induced changes in temporal lobe necrosis (TLN) after radiotherapy (RT) for nasopharyngeal carcinoma (NPC). METHODS: A total of 400 patients with NPC were retrospectively enrolled; all participants underwent MRI scans 0-7 days before RT, at 4 weeks during RT, and 1 month after completing RT...
April 26, 2017: Clinical Neuroradiology
https://www.readbyqxmd.com/read/28446945/diffusion-tensor-imaging-for-glioma-grading-analysis-of-fiber-density-index
#5
Fariba Davanian, Fariborz Faeghi, Sohrab Shahzadi, Zahra Farshifar
INTRODUCTION: The most common primary tumors of brain are gliomas and tumor grading is essential for designing proper treatment strategies. The gold standard choice to determine grade of glial tumor is biopsy which is an invasive method. The purpose of this study was to investigate the role of fiber density index (FDi) by means of diffusion tensor imaging (DTI) (as a noninvasive method) in glial tumor grading. METHODS: A group of 20 patients with histologically confirmed diagnosis of gliomas were evaluated in this study...
January 2017: Basic and Clinical Neuroscience
https://www.readbyqxmd.com/read/28444802/eddy-current-nulled-convex-optimized-diffusion-encoding-en-code-for-distortion-free-diffusion-tensor-imaging-with-short-echo-times
#6
Eric Aliotta, Kévin Moulin, Daniel B Ennis
PURPOSE: To design and evaluate eddy current-nulled convex optimized diffusion encoding (EN-CODE) gradient waveforms for efficient diffusion tensor imaging (DTI) that is free of eddy current-induced image distortions. METHODS: The EN-CODE framework was used to generate diffusion-encoding waveforms that are eddy current-compensated. The EN-CODE DTI waveform was compared with the existing eddy current-nulled twice refocused spin echo (TRSE) sequence as well as monopolar (MONO) and non-eddy current-compensated CODE in terms of echo time (TE) and image distortions...
April 25, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/28438714/the-effect-of-morphological-and-microstructural-integrity-of-the-corpus-callosum-on-cognition-fatigue-and-depression-in-mildly-disabled-ms-patients
#7
Jeroen Van Schependom, Jeroen Gielen, Jorne Laton, Georgios Sotiropoulos, Anne-Marie Vanbinst, Johan De Mey, Dirk Smeets, Guy Nagels
Aim To assess the value of callosal morphological and microstructural integrity in assessing different cognitive domains, fatigue and depression in mildly disabled multiple sclerosis (MS) patients. MATERIALS AND METHODS: We assessed 29 mildly disabled MS patients and 15 healthy controls using 3T magnetic resonance images (T1-weighted, FLAIR and DTI) and neuropsychological tests assessing different cognitive functions, depression and fatigue. We compared the added value of morphological measures (corpus callosum area corrected for total intracranial volume, index, circularity and the more detailed thickness profile) and diffusion features (fractional anisotropy and mean diffusivity) in multilinear models including standard clinical and whole-brain parameters in assessing neuropsychological scores...
April 21, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/28433624/temporal-slice-registration-and-robust-diffusion-tensor-reconstruction-for-improved-fetal-brain-structural-connectivity-analysis
#8
Bahram Marami, Seyed Sadegh Mohseni Salehi, Onur Afacan, Benoit Scherrer, Caitlin K Rollins, Edward Yang, Judy A Estroff, Simon K Warfield, Ali Gholipour
Diffusion weighted magnetic resonance imaging, or DWI, is one of the most promising tools for the analysis of neural microstructure and the structural connectome of the human brain. The application of DWI to map early development of the human connectome in-utero, however, is challenged by intermittent fetal and maternal motion that disrupts the spatial correspondence of data acquired in the relatively long DWI acquisitions. Fetuses move continuously during DWI scans. Reliable and accurate analysis of the fetal brain structural connectome requires careful compensation of motion effects and robust reconstruction to avoid introducing bias based on the degree of fetal motion...
April 19, 2017: NeuroImage
https://www.readbyqxmd.com/read/28433414/diffusion-tensor-imaging-findings-and-cognitive-function-following-hospitalised-mixed-mechanism-mild-traumatic-brain-injury-a-systematic-review-and-meta-analysis
#9
REVIEW
Lucy Oehr, Jacqueline Anderson
OBJECTIVE: To undertake a systematic review and meta-analysis of the relationship between microstructural damage and cognitive function following hospitalised mixed-mechanism (HMM) mild traumatic brain injury (mTBI). DATA SOURCES: PsycInfo, Embase, and Medline were used to find relevant empirical papers published between January 2002 to January 2016. STUDY SELECTION: Studies that examined the specific relationship between diffusion tensor imaging (DTI) and cognitive test performance were included...
April 19, 2017: Archives of Physical Medicine and Rehabilitation
https://www.readbyqxmd.com/read/28431605/global-brain-atrophy-and-metabolic-dysfunction-in-lgi1-encephalitis-a-prospective-multimodal-mri-study
#10
Monika Szots, Morten Blaabjerg, Gergely Orsi, Pernille Iversen, Daniel Kondziella, Camilla G Madsen, Ellen Garde, Peter O Magnusson, Peter Barsi, Ferenc Nagy, Hartwig R Siebner, Zsolt Illes
BACKGROUND: Chronic cognitive deficits are frequent in leucin-rich glioma-inactivated 1 protein (LGI1) encephalitis. We examined structural and metabolic brain abnormalities following LGI1 encephalitis and correlated findings with acute and follow-up clinical outcomes. METHODS: Nine patients underwent prospective multimodal 3 Tesla MRI 33.1±18months after disease onset, including automated volumetry, diffusion tensor imaging (DTI) and magnetic resonance spectroscopy (MRS)...
May 15, 2017: Journal of the Neurological Sciences
https://www.readbyqxmd.com/read/28429448/white-matter-microstructure-variations-contribute-to-neurological-soft-signs-in-healthy-adults
#11
Dusan Hirjak, Philipp A Thomann, Robert C Wolf, Katharina M Kubera, Caspar Goch, Jan Hering, Klaus H Maier-Hein
OBJECTIVE: Neurological soft signs (NSS) are core features of psychiatric disorders with significant neurodevelopmental origin. However, it is unclear whether NSS correlates are associated with neuropathological processes underlying the disease or if they are confounded by medication. Given that NSS are also present in healthy persons (HP), investigating HP could reveal NSS correlates, which are not biased by disease-specific processes or drug treatment. Therefore, we used a combination of diffusion MRI analysis tools to provide a framework of specific white matter (WM) microstructure variations underlying NSS in HP...
April 21, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28429407/spinal-cord-injury-induces-widespread-chronic-changes-in-cerebral-white-matter
#12
Tero Ilvesmäki, Eerika Koskinen, Antti Brander, Teemu Luoto, Juha Öhman, Hannu Eskola
Traumatic spinal cord injuries (SCIs) lead to axonal damage at the trauma site, as well as disconnections within the central nervous system. While the exact mechanisms of the long-term pathophysiological consequences of SCIs are not fully understood, it is known that neuronal damage and degeneration are not limited to the direct proximity of the trauma. Instead, the effects can be detected even in the cerebrum. We examined SCI-induced chronic brain changes with a case-control design using 32 patients and 70 control subjects...
April 21, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28424764/diffusion-tensor-imaging-colour-mapping-threshold-for-identification-of-ventilation-induced-brain-injury-after-intrauterine-inflammation-in-preterm-lambs
#13
Dhafer M Alahmari, Beatrice Skiöld, Samantha K Barton, Ilias Nitsos, Courtney McDonald, Suzanne L Miller, Valerie Zahra, Robert Galinsky, Qizhu Wu, Michael John Farrell, Timothy J Moss, Stuart B Hooper, James T Pearson, Graeme R Polglase
PURPOSE: The aim of this study is to examine whether advanced magnetic resonance imaging (MRI) techniques can detect early brain injury caused by intrauterine inflammation and inappropriate initial respiratory support in preterm lambs. HYPOTHESIS: Neuropathology caused by intrauterine inflammation is exacerbated by mechanical ventilation at birth and is detectable with advanced MRI techniques. METHODS: Pregnant ewes received intra-amniotic lipopolysaccharide (LPS) 7 days prior to delivery at ~125 days of gestation (85% of gestation), whereupon lambs were delivered and randomised to receive an injurious (LPS + INJ, n = 6) or protective (LPS + PROT, n = 6) ventilation strategy...
2017: Frontiers in Pediatrics
https://www.readbyqxmd.com/read/28418197/body-mass-index-associates-with-white-matter-microstructure-in-bipolar-depression
#14
Elena Mazza, Sara Poletti, Irene Bollettini, Clara Locatelli, Andrea Falini, Cristina Colombo, Francesco Benedetti
OBJECTIVES: Obesity has been reported in over 60% of bipolar disorder (BD) patients. It worsens the severity of illness, and influences cognition and functional outcomes. White matter (WM) abnormalities are one of the most consistently reported findings in neuroimaging studies of BD. We hypothesized that body mass index (BMI) could correlate with WM integrity in bipolar patients. METHODS: We evaluated BMI in a sample of 164 depressed patients affected by BD. We performed whole-brain tract-based spatial statistics with threshold-free cluster enhancement for the diffusion tensor imaging (DTI) measures of WM integrity: fractional anisotropy; axial, radial, and mean diffusivity...
April 18, 2017: Bipolar Disorders
https://www.readbyqxmd.com/read/28408293/vesicular-monoamine-transporter-1-gene-polymorphism-and-white-matter-integrity-in-major-depressive-disorder
#15
Eunsoo Won, Kyu-Man Han, June Kang, Aram Kim, Ho-Kyoung Yoon, Hun Soo Chang, Ji-Young Park, Min-Soo Lee, Tsafrir Greenberg, Woo-Suk Tae, Byung-Joo Ham
The genetic variant of the vesicular monoamine transporter 1 gene (VMAT1) has been suggested to be associated with monoaminergic signaling and neural circuit activity related to emotion processing. We aimed to investigate microstructural changes in white matter tracts of patients with major depressive disorder (MDD), and examined the interaction effect between VMAT1 Thr136Ile (rs1390938) polymorphism and MDD on white matter integrity. Diffusion tensor imaging (DTI) and VMAT1 Thr136Ile (rs1390938) genotyping were performed on 103 patients diagnosed with MDD and 83 healthy control participants...
April 10, 2017: Progress in Neuro-psychopharmacology & Biological Psychiatry
https://www.readbyqxmd.com/read/28407777/automatic-migraine-classification-via-feature-selection-committee-and-machine-learning-techniques-over-imaging-and-questionnaire-data
#16
Yolanda Garcia-Chimeno, Begonya Garcia-Zapirain, Marian Gomez-Beldarrain, Begonya Fernandez-Ruanova, Juan Carlos Garcia-Monco
BACKGROUND: Feature selection methods are commonly used to identify subsets of relevant features to facilitate the construction of models for classification, yet little is known about how feature selection methods perform in diffusion tensor images (DTIs). In this study, feature selection and machine learning classification methods were tested for the purpose of automating diagnosis of migraines using both DTIs and questionnaire answers related to emotion and cognition - factors that influence of pain perceptions...
April 13, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28396994/identifying-the-white-matter-impairments-among-art-na%C3%A3-ve-hiv-patients-a-multivariate-pattern-analysis-of-dti-data
#17
Zhenchao Tang, Zhenyu Liu, Ruili Li, Xin Yang, Xingwei Cui, Shuo Wang, Dongdong Yu, Hongjun Li, Enqing Dong, Jie Tian
OBJECTIVE: To identify the white matter (WM) impairments of the antiretroviral therapy (ART)-naïve HIV patients by conducting a multivariate pattern analysis (MVPA) of Diffusion Tensor Imaging (DTI) data METHODS: We enrolled 33 ART-naïve HIV patients and 32 Normal controls in the current study. Firstly, the DTI metrics in whole brain WM tracts were extracted for each subject and feed into the Least Absolute Shrinkage and Selection Operators procedure (LASSO)-Logistic regression model to identify the impaired WM tracts...
April 10, 2017: European Radiology
https://www.readbyqxmd.com/read/28395413/-study-on-age-and-white-matter-neuronal-integrity-in-healthy-volunteers-based-on-automating-fiber-tract-quantification
#18
W P Li, F F Wang, X Zhang, M Li, J M Lu, S C Wu, B Zhang
Objective: To analyze age-related change in cerebral matter tract, especially fractional anisotropy, based on automating fiber-tract quantification(AFQ). Methods: A total of 64 years old normal persons and 43 young volunteers were enrolled respectively from the Affiliated Drum Tower Hospital of Nanjing University Medical School and community from January 2015 to June 2016.All of them underwent MRI scan, which included DTI and 3D T(1)WI sequence .All cases were divided into 3 groups according to their ages, the young group 20-35 years old, the middle old group 60-75 years old, the old group 76-90 years old...
April 4, 2017: Zhonghua Yi Xue za Zhi [Chinese medical journal]
https://www.readbyqxmd.com/read/28394230/advanced-mri-techniques-biomarkers-in-neuropsychiatric-lupus
#19
N Sarbu, P Toledano, A Calvo, E Roura, M I Sarbu, G Espinosa, X Lladó, R Cervera, N Bargalló
Objectives The objective of this study was to determine whether advanced MRI could provide biomarkers for diagnosis and prognosis in neuropsychiatric systemic lupus erythematosus (NPSLE). Methods Our prospective study included 28 systemic lupus erythematosus (SLE) patients with primary central NPSLE, 22 patients without NPSLE and 20 healthy controls. We used visual scales to evaluate atrophy and white matter hyperintensities, voxel-based morphometry and Freesurfer to measure brain volume, plus diffusion-tensor imaging (DTI) to assess white matter (WM) and gray matter (GM) damage...
April 2017: Lupus
https://www.readbyqxmd.com/read/28393012/the-effect-of-repetitive-subconcussive-collisions-on-brain-integrity-in-collegiate-football-players-over-a-single-football-season-a-multi-modal-neuroimaging-study
#20
Semyon M Slobounov, Alexa Walter, Hans C Breiter, David C Zhu, Xiaoxiao Bai, Tim Bream, Peter Seidenberg, Xianglun Mao, Brian Johnson, Thomas M Talavage
The cumulative effect of repetitive subconcussive collisions on the structural and functional integrity of the brain remains largely unknown. Athletes in collision sports, like football, experience a large number of impacts across a single season of play. The majority of these impacts, however, are generally overlooked, and their long-term consequences remain poorly understood. This study sought to examine the effects of repetitive collisions across a single competitive season in NCAA Football Bowl Subdivision athletes using advanced neuroimaging approaches...
2017: NeuroImage: Clinical
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