406 results match your criteria: "Research Imaging Institute[Affiliation]"
Magn Reson Med
January 2013
Research Imaging Institute, University of Texas Health Science Center, San Antonio, Texas 78229, USA.
This study tested the sensitivity of an arterial spin labeling MRI method to image changes in retinal and choroidal blood flow (BF) and anatomical thickness of the retina in the rd10 mouse model of retinitis pigmentosa. High-resolution (42 × 42 μm) MRI was performed on rd10 mice and age-matched controls at 25, 35, and 60 days of age (n = 6 each group) on a 7-T scanner. Anatomical MRI was acquired, and quantitative BF was imaged using arterial spin labeling MRI with a separate cardiac labeling coil.
View Article and Find Full Text PDFTransl Stroke Res
March 2012
Research Imaging Institute, Departments of Ophthalmology, Radiology and Physiology, University of Texas Health Science Center, 8403 Floyd Curl Dr, San Antonio, TX, 78229, USA,
Stroke is the fourth leading cause of death and the leading cause of long-term disability in USA. Brain imaging data from experimental stroke models and stroke patients have shown that there is often a gradual progression of potentially reversible ischemic injury toward infarction. Reestablishing tissue perfusion and/or treating with neuroprotective drugs in a timely fashion are expected to salvage some ischemic tissues.
View Article and Find Full Text PDFTransl Stroke Res
March 2012
Research Imaging Institute, UT Health Science Center San Antonio, San Antonio, TX, USA,
Neuroimage
August 2012
Department of Radiology, Research Imaging Institute, University of Texas Health Science Center at San Antonio, USA.
Functional magnetic resonance imaging (fMRI) relies on the well-known phenomenon of coupling between neuronal activity and brain blood flow. For nearly a century, the presumption was that hemodynamics were coupled to neuronal activity via energy demand and oxidative metabolism. Early (15)O positron-emission tomographic (PET) studies challenged this theory, demonstrating a physiological "uncoupling" between brain blood flow and oxygen metabolism.
View Article and Find Full Text PDFPLoS One
June 2012
Cornelis H. Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America.
The GENESIS simulation platform was one of the first broad-scale modeling systems in computational biology to encourage modelers to develop and share model features and components. Supported by a large developer community, it participated in innovative simulator technologies such as benchmarking, parallelization, and declarative model specification and was the first neural simulator to define bindings for the Python scripting language. An important feature of the latest version of GENESIS is that it decomposes into self-contained software components complying with the Computational Biology Initiative federated software architecture.
View Article and Find Full Text PDFOpen Neuroimag J
August 2012
Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA.
The goal of this study was to develop a clinically relevant non-human primate (baboon) stroke model and multi-parametric MRI protocols on a clinical scanner with long-term goals to better model human stroke and facilitate clinical translations of novel therapeutic strategies. Baboons were chosen because of their relatively large brain volume and that they are evolutionarily close to humans. Middle cerebral artery occlusion (MCAO) was induced using a minimally invasive endovascular approach to guide an inflatable balloon catheter into the MCA and followed by permanently or transiently inflate the balloon.
View Article and Find Full Text PDFOpen Neuroimag J
August 2012
Research Imaging Institute, UT Health Science Center San Antonio, USA.
Open Neuroimag J
August 2012
Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX 78229, USA.
Measurements of task-induced changes in cerebral blood volume (CBV) have been demonstrated using VAscular Space Occupancy (VASO) techniques (noninvasive and newly developed) and a contrast agent-based (Gd- DTPA) method (invasive but well-established) with functional magnetic resonance imaging (fMRI). We compared the two methods in determining CBV changes during multi-frequency visual stimulation (4 and 8 Hz). Specifically, we aimed to assess the impact of repetition time (TR) on CBV changes determination using VASO.
View Article and Find Full Text PDFNeuroimage
June 2012
Research Imaging Institute and Department of Radiology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, USA.
After more than twenty years busily mapping the human brain, what have we learned from neuroimaging? This review (coda) considers this question from the point of view of structure-function relationships and the two cornerstones of functional neuroimaging; functional segregation and integration. Despite remarkable advances and insights into the brain's functional architecture, the earliest and simplest challenge in human brain mapping remains unresolved: We do not have a principled way to map brain function onto its structure in a way that speaks directly to cognitive neuroscience. Having said this, there are distinct clues about how this might be done: First, there is a growing appreciation of the role of functional integration in the distributed nature of neuronal processing.
View Article and Find Full Text PDFPLoS One
May 2012
Cornelis H. Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America.
Simulator interoperability and extensibility has become a growing requirement in computational biology. To address this, we have developed a federated software architecture. It is federated by its union of independent disparate systems under a single cohesive view, provides interoperability through its capability to communicate, execute programs, or transfer data among different independent applications, and supports extensibility by enabling simulator expansion or enhancement without the need for major changes to system infrastructure.
View Article and Find Full Text PDFOpen Neuroimag J
August 2012
SI Glickman MD Endowed Chair, Professor, MRI Division Chief and Assistant, Assitant Director, Research Imaging Institute, UT Health Science Center San Antonio, USA.
J Med Ultrason (2001)
January 2012
Department of Radiology, Tri-Service General Hospital and National Defense Medical Center, No. 325, Sec. 2, Cheng-kung Rd., Neihu 114, Taipei, Taiwan, R.O.C.
We report the case of a patient with 360° coiling of the brachial artery that had been previously misdiagnosed as aneurysms of the right brachial artery on sonography performed at another institution. The previous misdiagnosis occurred due to sonographic pitfalls in gray-scale and color imaging, which led the operator to make a false interpretation. Knowledge of Doppler analysis and sonographic interpretation of arterial coiling may improve the diagnostic accuracy for this condition.
View Article and Find Full Text PDFNeuroimage Clin
November 2013
Research Imaging Institute, UT Health Science Center, San Antonio, TX, USA.
Purpose: Medial temporal lobe epilepsy (MTLE) is associated with MTLE network pathology within and beyond the hippocampus. The purpose of this meta-analysis was to identify consistent MTLE structural change to guide subsequent targeted analyses of these areas.
Methods: We performed an anatomic likelihood estimation (ALE) meta-analysis of 22 whole-brain voxel-based morphometry experiments from 11 published studies.
Invest Ophthalmol Vis Sci
February 2012
Department of Ophthalmology and Research Imaging Institute, University of Texas Health Science Center, San Antonio, Texas, USA.
Purpose: This study tests the hypothesis that reduced retinal and choroidal blood flow (BF) occur in the DBA/2J mouse model of glaucoma.
Methods: Quantitative BF magnetic resonance imaging (MRI) with a resolution of 42 × 42 × 400 μm was performed on DBA/2J mice at 4, 6, and 9 months of age and C57BL/6 age-matched controls under isoflurane anesthesia. BF MRI images were acquired with echo-planar imaging using an arterial spin labeling technique and a custom-made eye coil at 7 Tesla.
Magn Reson Med
October 2012
Research Imaging Institute, University of Texas Health Science Center, San Antonio, Texas 78229, USA.
Nitroprusside, a vasodilatory nitric oxide donor, is clinically used during vascular surgery and to lower blood pressure in acute hypertension. This article reports a novel application of blood flow (BF) and blood oxygenation level dependent (BOLD) MRI on an 11.7T scanner to image the rat chorioretinal BF and BOLD changes associated with graded nitroprusside infusion.
View Article and Find Full Text PDFJ Neurosci Methods
March 2012
Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX 78229, United States.
This low cost visual stimulator was developed for use in small animal imaging. The stimulator uses a single tri-color LED for each eye and can output red, green, or blue light or any combination of the three. When all three LED colors are illuminated at the same time achromatic light is the output.
View Article and Find Full Text PDFMAGMA
June 2012
Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
Object: The goal of the study was to determine blood T(1) and T(2) values as functions of oxygen saturation (Y), temperature (Temp) and hematocrit (Hct) at an ultrahigh MR field (11.7 T) and explore their impacts on physiological measurements, including cerebral blood flow (CBF), blood volume (CBV) and oxygenation determination.
Materials And Methods: T(1) and T(2) were simultaneously measured.
Brain Res
November 2011
Research Imaging Institute, Department of Ophthalmology, Radiology and Physiology University of Texas Health Science Center, San Antonio, TX, USA.
It has been recently shown that at-risk tissue exhibits exaggerated T(2)⁎-weighted MRI signal increases during transient oxygen challenge (OC), suggesting that the tissue is still metabolically active. This study further characterized the effects of transient OC on T(2)⁎-weighted MRI in permanent focal stroke rats (N=8) using additional quantitative measures. The major findings were: i) the ischemic core cluster showed no significant response, whereas the mismatch cluster showed markedly higher percent changes relative to normal tissue in the acute phase.
View Article and Find Full Text PDFHear Res
December 2011
Research Imaging Institute, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229-3900, USA.
Recent years have seen a growing debate concerning the function of the cerebellum. Here we used a pitch discrimination task and PET to test for cerebellar involvement in the active control of sensory data acquisition. Specifically, we predicted greater cerebellar activity during active pitch discrimination compared to passive listening, with the greatest activity when pitch discrimination was most difficult.
View Article and Find Full Text PDFNeurol Res Int
November 2011
Research Imaging Institute, The University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA.
Multimodal magnetic resonance imaging (MRI) techniques have been developed to noninvasively measure structural, metabolic, hemodynamic and functional changes of the brain. These advantages have made MRI an important tool to investigate neurodegenerative disorders, including diagnosis, disease progression monitoring, and treatment efficacy evaluation. This paper discusses recent findings of the multimodal MRI in the context of surrogate biomarkers for identifying the risk for AD in normal cognitive (NC) adults, brain anatomical and functional alterations in amnestic mild cognitive impairment (aMCI), and Alzheimer's disease (AD) patients.
View Article and Find Full Text PDFBMC Res Notes
September 2011
Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA.
Background: Neuroimaging researchers have developed rigorous community data and metadata standards that encourage meta-analysis as a method for establishing robust and meaningful convergence of knowledge of human brain structure and function. Capitalizing on these standards, the BrainMap project offers databases, software applications, and other associated tools for supporting and promoting quantitative coordinate-based meta-analysis of the structural and functional neuroimaging literature.
Findings: In this report, we describe recent technical updates to the project and provide an educational description for performing meta-analyses in the BrainMap environment.
Invest Ophthalmol Vis Sci
September 2011
Research Imaging Institute, University of Texas Health Science Center, San Antonio, Texas 78229, USA.
Purpose: Magnetic resonance imaging (MRI) of the human retina faces two major challenges: eye movement and hardware limitation that could preclude human retinal MRI with adequate spatiotemporal resolution. This study investigated eye-fixation stability and high-resolution anatomic MRI of the human retina on a 3-Tesla (T) MRI scanner. Comparison was made with optical coherence tomography (OCT) on the same subjects.
View Article and Find Full Text PDFBiol Psychiatry
October 2011
School of Psychology, University of Nottingham, University Park, Nottingham, United Kingdom.
Background: The capacity of drug cues to elicit drug-seeking behavior is believed to play a fundamental role in drug dependence; yet the neurofunctional basis of human drug cue-reactivity is not fully understood. We performed a meta-analysis to identify brain regions that are consistently activated by presentation of drug cues. Studies involving treatment-seeking and nontreatment-seeking substance users were contrasted to determine whether there were consistent differences in the neural response to drug cues between these populations.
View Article and Find Full Text PDFBrain Res
August 2011
Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX 78229, USA.
Accurate and quantitative prediction of ischemic tissue fate could improve decision-making in the clinical treatment of acute stroke. The goal of the present study is to explore the novel use of support vector machine (SVM) to predict infarct on a pixel-by-pixel basis using only acute cerebral blood flow (CBF), apparent diffusion coefficient (ADC) MRI data. The efficacy of SVM prediction model was tested on three stroke groups: 30-min, 60-min, and permanent middle cerebral-artery occlusion (n=12 rats for each group).
View Article and Find Full Text PDFJ Cogn Neurosci
December 2011
Research Imaging Institute, University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229-3900, USA.
An increasingly large number of neuroimaging studies have investigated functionally connected networks during rest, providing insight into human brain architecture. Assessment of the functional qualities of resting state networks has been limited by the task-independent state, which results in an inability to relate these networks to specific mental functions. However, it was recently demonstrated that similar brain networks can be extracted from resting state data and data extracted from thousands of task-based neuroimaging experiments archived in the BrainMap database.
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