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Brain MRI

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https://www.readbyqxmd.com/read/28231282/mindboggling-morphometry-of-human-brains
#1
Arno Klein, Satrajit S Ghosh, Forrest S Bao, Joachim Giard, Yrjö Häme, Eliezer Stavsky, Noah Lee, Brian Rossa, Martin Reuter, Elias Chaibub Neto, Anisha Keshavan
Mindboggle (http://mindboggle.info) is an open source brain morphometry platform that takes in preprocessed T1-weighted MRI data and outputs volume, surface, and tabular data containing label, feature, and shape information for further analysis. In this article, we document the software and demonstrate its use in studies of shape variation in healthy and diseased humans. The number of different shape measures and the size of the populations make this the largest and most detailed shape analysis of human brains ever conducted...
February 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28230846/best-practices-in-data-analysis-and-sharing-in-neuroimaging-using-mri
#2
Thomas E Nichols, Samir Das, Simon B Eickhoff, Alan C Evans, Tristan Glatard, Michael Hanke, Nikolaus Kriegeskorte, Michael P Milham, Russell A Poldrack, Jean-Baptiste Poline, Erika Proal, Bertrand Thirion, David C Van Essen, Tonya White, B T Thomas Yeo
Given concerns about the reproducibility of scientific findings, neuroimaging must define best practices for data analysis, results reporting, and algorithm and data sharing to promote transparency, reliability and collaboration. We describe insights from developing a set of recommendations on behalf of the Organization for Human Brain Mapping and identify barriers that impede these practices, including how the discipline must change to fully exploit the potential of the world's neuroimaging data.
February 23, 2017: Nature Neuroscience
https://www.readbyqxmd.com/read/28230838/studying-neuroanatomy-using-mri
#3
REVIEW
Jason P Lerch, André J W van der Kouwe, Armin Raznahan, Tomáš Paus, Heidi Johansen-Berg, Karla L Miller, Stephen M Smith, Bruce Fischl, Stamatios N Sotiropoulos
The study of neuroanatomy using imaging enables key insights into how our brains function, are shaped by genes and environment, and change with development, aging and disease. Developments in MRI acquisition, image processing and data modeling have been key to these advances. However, MRI provides an indirect measurement of the biological signals we aim to investigate. Thus, artifacts and key questions of correct interpretation can confound the readouts provided by anatomical MRI. In this review we provide an overview of the methods for measuring macro- and mesoscopic structure and for inferring microstructural properties; we also describe key artifacts and confounds that can lead to incorrect conclusions...
February 23, 2017: Nature Neuroscience
https://www.readbyqxmd.com/read/28230421/medicare-expenditure-correlates-of-atrophy-and-cerebrovascular-disease-in-older-adults
#4
Briana S Last, Maria-José García Rubio, Carolyn W Zhu, Stephanie Cosentino, Jennifer J Manly, Charles DeCarli, Yaakov Stern, Adam M Brickman
: Background/Study Context: Magnetic resonance imaging (MRI) markers of cerebrovascular disease and atrophy are common in older adults and are associated with cognitive and medical burden. However, the extent to which they are related to health care expenditures has not been examined. We studied whether increased Medicare expenditures were associated with brain markers of atrophy and cerebrovascular disease in older adults. METHODS: A subset of participants (n = 592; mean age = 80 years; 66% women) from the Washington Heights Inwood Columbia Aging Project (WHICAP), a community-based observational study of aging in upper Manhattan, received high-resolution MRI and had Medicare expenditure data on file...
March 2017: Experimental Aging Research
https://www.readbyqxmd.com/read/28230326/diffusion-mri-and-mrs-outside-the-brain-from-methodology-to-practice
#5
EDITORIAL
Peter Vermathen
No abstract text is available yet for this article.
March 2017: NMR in Biomedicine
https://www.readbyqxmd.com/read/28230253/risk-of-vigabatrin-associated-brain-abnormalities-on-mri-in-the-treatment-of-infantile-spasms-is-dose-dependent
#6
Shaun A Hussain, Jackie Tsao, Menglu Li, Madeline D Schwarz, Raymond Zhou, Joyce Y Wu, Noriko Salamon, Raman Sankar
OBJECTIVE: Although the link between vigabatrin (VGB) and retinotoxicity is well known, little attention has been focused on the risk of VGB-associated brain abnormalities on magnetic resonance imaging (MRI) (VABAM), namely reversible-and largely asymptomatic-signal changes in the thalami, basal ganglia, brainstem tegmentum, and cerebellar nuclei. Using a large infantile spasms cohort, we set out to identify predictors of these phenomena. METHODS: Children with infantile spasms were retrospectively identified...
February 23, 2017: Epilepsia
https://www.readbyqxmd.com/read/28230106/longitudinal-assessments-of-normal-and-perilesional-tissues-in-focal-brain-ischemia-and-partial-optic-nerve-injury-with-manganese-enhanced-mri
#7
Kevin C Chan, Iris Y Zhou, Stanley S Liu, Yolandi van der Merwe, Shu-Juan Fan, Victor K Hung, Sookja K Chung, Wu-Tian Wu, Kwok-Fai So, Ed X Wu
Although manganese (Mn) can enhance brain tissues for improving magnetic resonance imaging (MRI) assessments, the underlying neural mechanisms of Mn detection remain unclear. In this study, we used Mn-enhanced MRI to test the hypothesis that different Mn entry routes and spatiotemporal Mn distributions can reflect different mechanisms of neural circuitry and neurodegeneration in normal and injured brains. Upon systemic administration, exogenous Mn exhibited varying transport rates and continuous redistribution across healthy rodent brain nuclei over a 2-week timeframe, whereas in rodents following photothrombotic cortical injury, transient middle cerebral artery occlusion, or neonatal hypoxic-ischemic brain injury, Mn preferentially accumulated in perilesional tissues expressing gliosis or oxidative stress within days...
February 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28230070/an-fmri-compatible-force-measurement-system-for-the-evaluation-of-the-neural-correlates-of-step-initiation
#8
Andrea Cristina de Lima-Pardini, Raymundo Machado de Azevedo Neto, Daniel Boari Coelho, Catarina Costa Boffino, Sukhwinder S Shergill, Carolina de Oliveira Souza, Rachael Brant, Egberto Reis Barbosa, Ellison Fernando Cardoso, Luis Augusto Teixeira, Rajal G Cohen, Fay Bahling Horak, Edson Amaro
Knowledge of brain correlates of postural control is limited by the technical difficulties in performing controlled experiments with currently available neuroimaging methods. Here we present a system that allows the measurement of anticipatory postural adjustment of human legs to be synchronized with the acquisition of functional magnetic resonance imaging data. The device is composed of Magnetic Resonance Imaging (MRI) compatible force sensors able to measure the level of force applied by both feet. We tested the device in a group of healthy young subjects and a group of elderly subjects with Parkinson's disease using an event-related functional MRI (fMRI) experiment design...
February 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28229892/safety-and-efficacy-of-opicinumab-in-acute-optic-neuritis-renew-a-randomised-placebo-controlled-phase-2-trial
#9
Diego Cadavid, Laura Balcer, Steven Galetta, Orhan Aktas, Tjalf Ziemssen, Ludo Vanopdenbosch, Jette Frederiksen, Mark Skeen, Glenn J Jaffe, Helmut Butzkueven, Focke Ziemssen, Luca Massacesi, Yi Chai, Lei Xu, Stefanie Freeman
BACKGROUND: The human monoclonal antibody opicinumab (BIIB033, anti-LINGO-1) has shown remyelinating activity in preclinical studies. We therefore assessed the safety and tolerability, and efficacy of opicinumab given soon after a first acute optic neuritis episode. METHODS: This randomised, double-blind, placebo-controlled, phase 2 study (RENEW) was done at 33 sites in Australia, Canada, and Europe in participants (aged 18-55 years) with a first unilateral acute optic neuritis episode within 28 days from study baseline...
March 2017: Lancet Neurology
https://www.readbyqxmd.com/read/28229840/-magnetic-resonance-imaging-conversion-predictors-of-clinically-isolated-syndrome-to-multiple-sclerosis
#10
REVIEW
Sara Peixoto, Pedro Abreu
INTRODUCTION: Clinically isolated syndrome may be the first manifestation of multiple sclerosis, a chronic demyelinating disease of the central nervous system, and it is defined by a single clinical episode suggestive of demyelination. However, patients with this syndrome, even with long term follow up, may not develop new symptoms or demyelinating lesions that fulfils multiple sclerosis diagnostic criteria. We reviewed, in clinically isolated syndrome, what are the best magnetic resonance imaging findings that may predict its conversion to multiple sclerosis...
November 2016: Acta Médica Portuguesa
https://www.readbyqxmd.com/read/28229379/a-novel-frameshift-mutation-in-the-sterol-27-hydroxylase-gene-in-an-egyptian-family-with-cerebrotendinous-xanthomatosis-without-cataract
#11
Mohamed S Abdel-Hamid, Mahmoud Y Issa, Ghada A Otaify, Maha S Zaki
Cerebrotendinous xanthomatosis (CTX) is a rare autosomal recessive lipid storage disorder caused by deficiency of the mitochondrial cytochrome P450 sterol 27-hydroxylase enzyme encoded by CYP27A1 gene. CTX is characterized by tendon xanthomas, juvenile cataracts and multiple progressive neurological symptoms. Here we report on the clinical and molecular findings of a 35-years old Egyptian patient with CTX without cataract. Parents were first cousins with family history of two deceased sibs with mild impaired cognitive functions and epilepsy without appearance of tendon xanthomas...
February 22, 2017: Metabolic Brain Disease
https://www.readbyqxmd.com/read/28229087/modeling-williams-syndrome-with-induced-pluripotent-stem-cells
#12
Thanathom Chailangkarn, Alysson R Muotri
The development of induced pluripotent stem cells (iPSCs) like never before has opened novel opportunity to study diseases in relevant cell types. In our recent study, Williams syndrome (WS), a rare genetic neurodevelopmental disorder, that is caused by hemizygous deletion of 25-28 genes on chromosome 7, is of interest because of its unique cognitive and social profiles. Little is known about haploinsufficiency effect of those deleted genes on molecular and cellular phenotypes at the neural level due to the lack of relevant human cellular model...
2017: Neurogenesis (Austin, Tex.)
https://www.readbyqxmd.com/read/28229040/predicting-primary-progressive-aphasias-with-support-vector-machine-approaches-in-structural-mri-data
#13
Sandrine Bisenius, Karsten Mueller, Janine Diehl-Schmid, Klaus Fassbender, Timo Grimmer, Frank Jessen, Jan Kassubek, Johannes Kornhuber, Bernhard Landwehrmeyer, Albert Ludolph, Anja Schneider, Sarah Anderl-Straub, Katharina Stuke, Adrian Danek, Markus Otto, Matthias L Schroeter
Primary progressive aphasia (PPA) encompasses the three subtypes nonfluent/agrammatic variant PPA, semantic variant PPA, and the logopenic variant PPA, which are characterized by distinct patterns of language difficulties and regional brain atrophy. To validate the potential of structural magnetic resonance imaging data for early individual diagnosis, we used support vector machine classification on grey matter density maps obtained by voxel-based morphometry analysis to discriminate PPA subtypes (44 patients: 16 nonfluent/agrammatic variant PPA, 17 semantic variant PPA, 11 logopenic variant PPA) from 20 healthy controls (matched for sample size, age, and gender) in the cohort of the multi-center study of the German consortium for frontotemporal lobar degeneration...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28228966/objective-image-analysis-of-real-time-three-dimensional-intraoperative-ultrasound-for-intrinsic-brain-tumour-surgery
#14
Sophie J Camp, Vasileios Apostolopoulos, Vasileios Raptopoulos, Amrish Mehta, Kevin O'Neill, Mohammed Awad, Babar Vaqas, David Peterson, Federico Roncaroli, Dipankar Nandi
BACKGROUND: There is growing evidence that maximal surgical resection of primary intrinsic brain tumours is beneficial, both by improving progression free and overall survival and also by facilitating postoperative chemotherapy and radiotherapy. Hence, there has been an increase in the popularity of real-time intraoperative imaging in brain tumour surgery. The complex theatre arrangements, prohibitive cost and prolonged theatre time of intraoperative MRI have restricted its application...
2017: Journal of Therapeutic Ultrasound
https://www.readbyqxmd.com/read/28228060/resuscitation-with-lyophilized-plasma-is-safe-and-improves-neurologic-recovery-in-a-long-term-survival-model-of-swine-subjected-to-traumatic-brain-injury-hemorrhagic-shock-and-polytrauma
#15
Patrick E Georgoff, Vahagn C Nikolian, Ihab Halaweish, Kiril Chtraklin, Peter J Bruhn, Hassan Eidy, Monica Rasmussen, Yongqing Li, Ashok Srinivasan, Hasan B Alam
We have previously shown that fresh frozen plasma (FFP) and lyophilized plasma decrease brain lesion size and improve neurologic recovery in a swine model of traumatic brain injury (TBI) and hemorrhagic shock (HS). In this study, we examine whether these findings can be validated in a clinically relevant model of severe TBI, HS, and polytrauma. Female Yorkshire swine were subjected to TBI (controlled cortical impact), hemorrhage (40% volume), grade III liver and splenic injuries, rib fracture, and rectus abdominis crush...
February 22, 2017: Journal of Neurotrauma
https://www.readbyqxmd.com/read/28227881/a-framework-for-informing-segmentation-of-in-vivo-mri-with-information-derived-from-ex-vivo-imaging-application-in-the-medial-temporal-lobe
#16
Paul A Yushkevich, Laura Wisse, Daniel Adler, Ranjit Ittyerah, John B Pluta, John L Robinson, Theresa Schuck, John Q Trojanowski, Murray Grossman, John A Detre, Mark A Elliott, Jon B Toledo, Weixia Liu, Stephen Pickup, Sandhitsu R Das, David A Wolk, Paul A Yushkevich, Laura Wisse, Daniel Adler, Ranjit Ittyerah, John B Pluta, John L Robinson, Theresa Schuck, John Q Trojanowski, Murray Grossman, John A Detre, Mark A Elliott, Jon B Toledo, Weixia Liu, Stephen Pickup, Sandhitsu R Das, David A Wolk, John L Robinson, Jon B Toledo, Stephen Pickup, Weixia Liu, Paul A Yushkevich, Daniel Adler, John Q Trojanowski, Theresa Schuck, David A Wolk, Laura Wisse, Mark A Elliott, Sandhitsu R Das, John A Detre, John B Pluta, Ranjit Ittyerah, Murray Grossman
Automatic segmentation of cortical and subcortical structures is commonplace in brain MRI literature and is frequently used as the first step towards quantitative analysis of structural and functional neuroimaging. Most approaches to brain structure segmentation are based on propagation of anatomical information from example MRI datasets, called atlases or templates, that are manually labeled by experts. The accuracy of automatic segmentation is usually validated against the "bronze" standard of manual segmentation of test MRI datasets...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227860/classification-of-adhd-subgroup-with-recursive-feature-elimination-for-structural-brain-mri
#17
Muhammad Naveed Iqbal Qureshi, Boreom Lee, Muhammad Naveed Iqbal Qureshi, Boreom Lee, Boreom Lee
This article reports the binary classification results of ADHD patients among three subgroups by using ADHD-200 dataset. We have proposed a modified feature selection approach using standard RFE-SVM model. Our results show the significance of the proposed method by making a comparison of J-statistics, F1-score and classification accuracy based on the feature selection from the original RFE-SVM vs. the proposed modification of RFE-SVM. In addition, we have also compared the number of features in each setting to achieve the highest accuracy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227765/distribution-aware-estimation-of-the-minimum-achievable-uncertainty-in-diffusion-tensor-imaging-dti
#18
Andrea Duggento, Marco Giannelli, Carlo Tessa, Simona Lanzafame, Maria Guerrisi, Nicola Toschi, Andrea Duggento, Marco Giannelli, Carlo Tessa, Simona Lanzafame, Maria Guerrisi, Nicola Toschi, Nicola Toschi, Maria Guerrisi, Marco Giannelli, Carlo Tessa, Simona Lanzafame, Andrea Duggento
Diffusion tensor imaging (DTI) provides exquisite sensitivity to structural and microstructural characteristics of brain tissue, and is routinely employed in advanced neuroimaging applications. DTI is commonly performed using intrinsically noisy echo-planar imaging techniques and poses high demands both on scanner performance and on in-scanner subject time, which in turn is directly related to the number of diffusion-weighting direction one requires. While DTI-derived indices such as fractional anisotropy (FA), diffusion tensor trace and anisotropy mode have proven extremely useful in characterizing disease-related aberrations, their estimation is commonly performed using fitting routines that do not properly take into account MRI noise distribution...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227443/behavior-of-superparamagnetic-nanoparticles-in-regard-of-brain-activity-a-proof-of-concept
#19
Pierre-Olivier Champagne, Dang Nguyen, Lionel Carmant, Alain Bouthillier, Nathalie T Sanon, Mohamad Sawan, Pierre-Olivier Champagne, Dang Nguyen, Lionel Carmant, Alain Bouthillier, Nathalie T Sanon, Mohamad Sawan, Dang Nguyen, Alain Bouthillier, Mohamad Sawan, Nathalie T Sanon, Pierre-Olivier Champagne, Lionel Carmant
The study of cerebral magnetic activity is very promising for the understanding and care of diseases involving impaired cerebral activity such as epilepsy. One of the main hurdle in the recording of cerebral magnetic activity is that the intensity of cerebral magnetic fields is very weak. In this regard, we explore another potential way to appreciate the magnetic cerebral activity using superparamagnetic nanoparticles. These particles react to magnetic fields and can aggregate under their influence. Being superparamagnetic, they are also visible on magnetic resonance imaging (MRI)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227409/projected-current-density-comparison-in-tdcs-block-and-smooth-fe-modeling
#20
Aprinda Indahlastari, Munish Chauhan, Rosalind J Sadleir, Aprinda Indahlastari, Munish Chauhan, Rosalind J Sadleir, Aprinda Indahlastari, Munish Chauhan, Rosalind J Sadleir
Current density distribution and projected current density calculation following transcranial direct current stimulation (tDCS) forward model in a human head were compared between two modeling pipelines: block and smooth. Block model was directly constructed from MRI voxel resolution and simulated in C. Smooth models underwent a boundary smoothing process by applying recursive Gaussian filters and simulated in COMSOL. Three smoothing levels were added to determine their effects on current density distribution compared to block models...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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