We collected and analyzed RS functional magnetic
resonance imaging data from female patients with urologic chronic pelvic pain syndrome (N = 45) and matched healthy participants (N = 45) as part of an NIDDK - funded multicenter project (www.mappnetwork.org).
The researchers identified dysfunctional brain mechanisms of sustained attention using functional Magnetic
Resonance Imaging data and complex modeling of fMRI signals.
Not exact matches
The team analyzes patient - specific
data from magnetic
resonance imaging (MRI), positron emission tomography (PET), x-ray computed tomography (CT), biopsies and other factors, in order to develop their computational model.
Using
data from National Database for Autism Research (NDAR), lead author Kristina Denisova, PhD, Assistant Professor of Psychiatry at CUMC and Fellow at the Sackler Institute, studied 71 high and low risk infants who underwent two functional Magnetic
Resonance imaging brain scans either at 1 - 2 months or at 9 - 10 months: one during a resting period of sleep and a second while native language was presented to the infants.
A recent study by investigators from LIJ Medical Center demonstrated that using magnetic
resonance imaging (MRI) in men with an elevated prostate specific antigen (PSA) resulted in a prostate cancer detection rate that was twice as high as
data reported in the March 1999 Prostate journal that analyzed men undergoing the standard 12 - core biopsy with an elevated PSA.
Kessler Foundation researchers have shown that discarding
data from subjects with multiple sclerosis (MS) who exhibit head movement during functional magnetic
resonance imaging (fMRI) may bias sampling away from subjects with lower cognitive ability.
This hypothesis is supported by several observations so we decided to test it by scanning the brains of individuals of varying age with functional magnetic
resonance imaging and analysing the
data both with fApEn and SampEn.»
A method for
data analysis used in medical diagnostics has been tested for the first time on resting state functional magnetic
resonance imaging (fMRI)
data.
The team made these observations using resting - state functional magnetic
resonance imaging (fMRI)
data from the largest neuroimaging database on ASD aggregated so far: the ABIDE, founded and coordinated by Dr. Adriana Di Martino, Dr. Stuart Mostofsky and Dr. Michael Milham.
But neither
data from brain scanners — functional magnetic
resonance imaging — nor clinical studies of patients with implanted electrodes have explained exactly how the cells in these face patches work.
At the meeting, attendees discussed four broad goals for the proposed Observatory: expanding access to large scale electron microscopes; providing fabrication facilities for new, nanosized electrode systems; developing new optical and magnetic
resonance brain activity
imaging technologies; and finding new ways to analyze and store the staggering amount of
data detailed brain studies can produce.
One application is magnetic
resonance imaging (MRI) where one would aim to apply even stronger magnetic fields to achieve sharper images and faster
data acquisition.
Led by Dr. James Clugston, a University Athletic Association team physician at UF and an assistant professor of community health and family medicine, the UF researchers will correlate the
data they collect from the sensors with additional
data from blood and magnetic
resonance imaging tests.
According to Ralph Adolphs, PhD, Bren professor of psychology and neuroscience at Caltech, a contributing author, «Most
data relevant to understanding psychiatric illness is derived from studies that use functional magnetic
resonance imaging.
The research team is integrating the behavioral
data with functional magnetic
resonance imaging, or fMRI, to identify which brain networks may be responsible for the rhythm perception deficit.
The revolution in neuroscience is often characterized as a revolution in new
imaging technology.A long overdue reassessment of neuroimaging machines — in particular the functional magnetic
resonance imager — has underlined that what you see is not always what you get.A study published this year in Perspectives on Psychological Science noted that many papers in social neuroscience, the field that examines the neurobiology of social behavior, suffered from faulty analyses that produced «voodoo correlations» in their
data.
The Alzheimer's Disease Neuroimaging Initiative (ADNI) three - dimensional T1 - weighted magnetic
resonance imaging (MRI) acquisitions provide a rich
data set for developing and testing analysis
Alain Destexhe, Research Director of Unité de Neurosciences CNRS, Gif - sur - Yvette, France Bruno Weber, Professor of Multimodal Experimental
Imaging, Universitaet Zuerich, Switzerland Carmen Gruber Traub, Fraunhofer, Germany Costas Kiparissides, Certh, Greece Cyril Poupon, Head of the Nuclear Magnetic
Resonance Imaging and Spectroscopy unit of NeuroSpin, University Paris Saclay, Gif - sur - Yvette, France David Boas, Professor of Radiology at Massachusetts General Hospital, Harvard Medical School, University of Pennsylvania Hanchuan Peng, Associate Investigator at Allen Brain Institute, Seattle, US Huib Manswelder, Head of Department of Integrative Neurophysiology Center for Neurogenomics and Cognitive Research, VU University, Amsterdam Jan G. Bjaalie, Head of Neuroinformatics division, Institute of Basic Medical Sciences, University of Oslo, Norway Jean - François Mangin, Research Director Neuroimaging at CEA, Gif - sur - Yvette, France Jordi Mones, Institut de la Macula y la Retina, Barcelona, Spain Jurgen Popp, Scientific Director of the Leibniz Institute of Photonic Technology, Jena, Germany Katharina Zimmermann, Hochshule, Germany Katrin Amunts, Director of the Institute Structural and functional organisation of the brain, Forschungszentrum Juelich, Germany Leslie M. Loew, Professor at University of Connecticut Health Center, Connecticut, US Marc - Oliver Gewaltig, Section Manager of Neurorobotics, Simulation Neuroscience Division - Ecole Polytechnique fédérale de Lausanne (EPFL), Geneve, Switzerland Markus Axer, Head of Fiber architecture group, Institute of Neuroscience and Medicine (INM - 1) at Forschungszentrum Juelich, Germany Mickey Scheinowitz, Head of Regenerative Therapy Department of Biomedical Engineering and Neufeld Cardiac Research Institute, Tel - Aviv University, Israel Pablo Loza, Institute of Photonic Sciences, Castelldefels, Spain Patrick Hof, Mount Sinai Hospital, New York, US Paul Tiesinga, Professor at Faculty of Science, Radboud University, Nijmegen, Netherlands Silvestro Micera, Director of the Translational Neural Engineering (TNE) Laboratory, and Associate Professor at the EPFL School of Engineering and the Centre for Neuroprosthetics Timo Dicksheid, Group Leader of Big
Data Analytics, Institute Structural and functional organisation of the brain, Forschungszentrum Juelich, Germany Trygve Leergaard, Professor of Neural Systems, Institute of Basic Medical Sciences, University of Oslo, Norway Viktor Jirsa, Director of the Institute de Neurosciences des Systèmes and Director of Research at the CNRS, Marseille, France
Functional magnetic
resonance imaging (fMRI)
data showed that when an unexpected odor was presented, activity in the midbrain increased.
To demonstrate the predictive value of individual differences in morphometric patterns of gray matter density for intelligence, we applied voxel - based morphometry (VBM) on structural magnetic
resonance imaging (MRI)
data from 308 adult participants (Nooner et al., 2012).
This set of standards and definitions for PAVD was independently reviewed by official appointees from the ACCF, AHA, American College of Radiology, Society for Cardiovascular Angiography and Interventions, Society of Interventional Radiology, Society for Vascular Medicine, Society for Vascular Nursing, Society for Vascular Surgery, and the ACCF / AHA Task Force on Clinical
Data Standards, as well as experts from collaborating organizations, namely, the American College of Physicians; American Association of Cardiovascular and Pulmonary Rehabilitation; American Academy of Neurology; American Diabetes Association; National Heart, Lung, and Blood Institute; Society of Atherosclerosis
Imaging and Prevention; Society of Cardiovascular Computed Tomography; Society for Cardiovascular Magnetic
Resonance; and Vascular Disease Foundation.
Brooklyn defense attorney David Zevin almost made legal history last month by attempting to submit functional magnetic
resonance imaging (fMRI)
data as evidence that a key witness was telling the truth.
Both are capable of collecting transmitted light as well as epifluorescence
data and can be used for time - lapse
imaging, Fluorescence
Resonance Energy Transfer (FRET), and Fluorescence Recovery After Photobleaching (FRAP) experiments.
The current study included women with
data on both endogenous sex hormones and breast tissue composition measured by magnetic
resonance imaging (MRI) from the DISC06 Follow - Up Study.
Use of quantitative
data from magnetic
resonance imaging (MRI) will allow us to perform a more appropriate genetic analysis of this important and common disease.
Data was then compared with other advanced
imaging modalities (computed tomography [CT], magnetic
resonance imaging [MRI] and scintigraphy) obtained on the same horses.
He has worked in a broad range of technologies, including magnetic
resonance imaging, microprocessors, semiconductor memories, chipsets, semiconductor fabrication processes, relational database software,
data storage and wireless communications.
Design, Setting, and Participants Longitudinal cohort study analyzing 823 magnetic
resonance imaging scans of 389 typically developing children and adolescents aged 4 to 22 years from the National Institutes of Health Magnetic Resonance Imaging Study of Normal Brain Development with complete sociodemographic and neuroimag
resonance imaging scans of 389 typically developing children and adolescents aged 4 to 22 years from the National Institutes of Health Magnetic Resonance Imaging Study of Normal Brain Development with complete sociodemographic and neuroimagin
imaging scans of 389 typically developing children and adolescents aged 4 to 22 years from the National Institutes of Health Magnetic
Resonance Imaging Study of Normal Brain Development with complete sociodemographic and neuroimag
Resonance Imaging Study of Normal Brain Development with complete sociodemographic and neuroimagin
Imaging Study of Normal Brain Development with complete sociodemographic and neuroimaging
data.
For example, she has collected event - related potential (ERP) and event - related functional magnetic
resonance imaging (fMRI)
data with maltreated foster children and nonmaltreated children during different inhibitory control tasks.
There is confirmatory
data on the distinction of these categories in the face of traumatic situations (as triggered by pictures in the AAP task) using functional magnetic
resonance imaging [33].
The analysis of functional magnetic
resonance imaging (fMRI)
data focused on the variations in both local and interregional patterns of brain activity as a function of resistance to peer influence (RPI).