Sentences with phrase «brain imaging data»

Number 17 «Empathy and identification» Dr. Lane Beckes and Dr. James A. Coan at the University of Virginia discuss their research on correlations in psycho - physiological and brain imaging data, particularly their own innovative correlational approaches for exploring interpersonal empathy and identification.

Almost no functional brain imaging data is available from individuals who are considered «low - functioning.»

One strength of the study is the combination of this decision - making test with the brain imaging data, says Peter J. Havel, a professor of nutrition at the University of California, Davis, who was not involved with the study.

«It was the most absolutely outstanding piece of information in all the brain data I looked at,» Herbert recalls of the years 2001 and 2002, when she was analyzing this brain imaging data.

The brain imaging data revealed that two distinct regions in frontal cortex tracked the estimated abilities of oneself and others.

It is the first time we have used these methods to look at brain imaging data and it has given some fascinating insight into how psychedelic drugs expand the mind.

Vorstman's team is pooling genetic and brain imaging data with collaborators at multiple institutions to investigate how the deletion gives rise to two independent conditions.

To test this, Schultz and Cole analyzed brain imaging data obtained by researchers at Washington University in St. Louis and the University of Minnesota as part of the Human Connectome Project.

They applied sample weights to the brain imaging data, giving more weight to the brains of kids with poorer, less educated families, and adding additional weights to match the racial demographics of the United States.

In the study, Dr. Barber and colleagues analyzed brain imaging data from the Human Connectome Project of 76 otherwise healthy participants reporting PLEs and 153 control participants.

According to Dr. Cameron Carter, Editor of Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, the study is an important example of how more sophisticated approaches to analyzing brain imaging data examining transitions between mental states over time can measure altered brain dynamics that can identify subtle risk states or even track the transition from subclinical to clinical psychopathology.

Furthermore, brain imaging data for these very elderly animals shows a slight loss of grey matter (neuronal cell bodies), an effect that the researchers have not yet explained, as well as significantly slowed atrophy of white matter (the neuronal fibers connecting different areas of the brain).

Not exact matches

In a 2012 study, [8] researchers at the University of Rochester Medical Center (URMC) measured before - and - after data from the brains of a group of nine high school football and hockey players using an advanced form of imaging similar to an MRI called diffusion tensor imaging (DTI).

Brain imaging adds another kind of data that can help test hypotheses and corroborate teens» own accounts of their behavior and emotions.

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.

In the novel analysis, brain imaging was combined with machine - learning methodology, with which signals of a similar form were mined from the brain data.

Using data from brain imaging techniques that enable visualising the brain's activity, a neuroscientist at the University of Geneva (UNIGE) and a Parisian ENT surgeon have managed to decipher brain reorganisation processes at work when people start to lose their hearing, and thus predict the success or failure of a cochlear implant among people who have become profoundly deaf in their adult life.

Van Wedeen, another HCP PI at the Massachusetts General Hospital (MGH) Martinos Center for Biomedical Imaging, says the proliferation of neuroscience resources, such as those put out by the HCP and Allen Brain Atlas, can pay unexpected dividends for young researchers who lack the funds to collect such data themselves.

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.»

«We were fortunate that a group of collaborators, including Fritjof Helmchen from the Brain Research Institute and David Jörg and Benjamin Simons from the University of Cambridge, joined efforts to bring together their expertise in deep brain imaging and theoretical modeling, which allowed us to obtain and understand our data.&rBrain Research Institute and David Jörg and Benjamin Simons from the University of Cambridge, joined efforts to bring together their expertise in deep brain imaging and theoretical modeling, which allowed us to obtain and understand our data.&rbrain imaging and theoretical modeling, which allowed us to obtain and understand our data.»

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.

An international team of roughly 300 scientists known as the Enhancing Neuro Imaging Genetics through Meta Analysis (ENIGMA) Network pooled brain scans and genetic data worldwide to pinpoint genes that enhance or break down key brain regions in people from 33 countries.

«We have all this stuff - new brain imaging technologies, big data samples, etc. — why are we not making really fast progress?»

The investigators used the brain - imaging software to rapidly evaluate blood - flow data generated from incoming patients.

The data, presented at the annual meeting of the Radiological Society of North America, represents a small but intriguing look at brain imaging in those who suffered combat - related head injuries.

The researchers identified dysfunctional brain mechanisms of sustained attention using functional Magnetic Resonance Imaging data and complex modeling of fMRI signals.

Drawing on ADNI data, which helped link Alzheimer's disease to a common gene called CLU, researchers used this imaging technique in other people to discover that the brain wiring of gene carriers is impaired decades before the disease typically strikes.

Researchers examined data from a total of 1,577 participants (aged 12 — 21 years, 57 % male / 43 % female), that included information on cannabis use, brain imaging results, and polygenic risk score for schizophrenia.

Still, Sheehan said neuroscience already is one of the leaders in data sharing and management, with such resources as the NIH - funded National Database for Autism Research; an NIH - Defense Department sponsored data base on traumatic brain injury; the NIH - funded Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC), which helps researchers to develop, share and collaborate on software tools for doing functional and structural imaging studies of the brain; and the Neuroscience Information Framework, an NIH initiative that makes neuroscience resources - data, materials, and tools - accessible via any computer connected to the Internet.

Using this mouse - tracking software Freeman developed, the millimeters of movement of a test subject's mouse cursor can be linked with brain - imaging data to discover otherwise hidden impacts on specific brain processes.

We have long known that autism itself is genetic, but by combining these different data sets (brain imaging and genetics) we can now identify more precisely which genes are linked to how the autistic brain may differ.

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.

In total, the HCP has released some 50 terabytes of brain - imaging data on more than 1,000 people, says Jennifer Elam, an outreach coordinator for the project at the Washington University School of Medicine in St. Louis, Missouri.

But these imaging data are represented in completely different formats, and there's no way to switch between the two: once scientists zoom in to the level of single cells, they can not pan out again to see those cells in the context of the whole brain.

A second major theme is the development of methods for studying human brain structure and function using MRI and for integrating fMRI data with other imaging methods such as EEG.

Advances in methodology are allowing researchers to integrate mindfulness experiences with brain imaging and neural signal data to form testable hypotheses about the science — and the reported mental health benefits — of the practice.

During his time at Vanderbilt, Dieter made a number of essential and extensive contributions to an NIH - funded project on binocular vision in adults, including developing and perfecting the battery of tests the subjects would perform, imaging the subjects» brains and statistically analyzing the data.

An international collaborative study coordinated by the Inserm unit 930 «Imaging and Brain» (Dr. Frédéric Laumonnier, Tours), PHENOMIN and the IGBMC (Dr. Yann Hérault, Illkirch) brings new and original data on the characterization of the physiopathological role of the synaptic receptor PTCHD1.

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, FBrain 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, Fbrain, 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, Fbrain, 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

Masmanidis is developing silicon - based electrodes that can record electrical signals from the brain while the miniscope records imaging data.

The reasons for these heterogeneous results are numerous, such as the varying acupuncture manipulation methods, different types of control arms, different methods of acquisition and analyzing the imaging data, the mainly investigated brain regions (region of interest) and the statistical analysis.

In the 2007 - 2008 academic year, for instance, awards supported research on topics such as the imaging of brain regions involved in the learning of words, the relation between memory and the growth of brain cells in adulthood, the neural activity behind birdsongs and the processing of sensory data in the brains of infants at risk for autism.

As I drive the five miles from my house in suburban New Jersey to Rutgers University Brain Imaging Center, I take a mental inventory of my data.

Today he works on novel neural stimulation methods, whole - brain imaging of neural dynamics in larval zebrafish, and computational tools for the big data problems that arise from volumetric neural imaging datasets.

These include brain image and results volumes obtained from the advanced Siemens 3T Connectom imaging system based at MGH as well as data obtained using conventional imaging systems.

The first - of - its - kind study mixed brain - imaging data from canines with a series of behavioral experiments, and came to the conclusion that dogs really do value the relationships they have with their owners.

Investigating brain connectivity heritability in a twin study using diffusion imaging data.

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 neuroimaginimaging 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 neuroimaginImaging Study of Normal Brain Development with complete sociodemographic and neuroimaging data.

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).