Sentences with phrase «structural magnetic resonance imaging»

Cortical Gray Matter in Attention - Deficit / Hyperactivity Disorder: A Structural Magnetic Resonance Imaging Study

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).

The researchers imaged each participant's brain using structural magnetic resonance imaging and diffusion - weighted imaging.

To find out, Brown and his colleagues used structural magnetic resonance imaging (MRI) to study the brains of 885 children and young adults between the ages of 3 and 20.

The group performed structural magnetic resonance imaging (MRI) on the young peoples» brains.

Structural magnetic resonance imaging (MRI), which measures the anatomy and structural integrity of the brain, and magnetoencephalography (MEG), which measures magnetic fields created by the brain's electrical activity, were used to track potential age - related differences as groups of younger and older adults performed a memory task.

The next morning, study participants were tested again on the word pairs, this time while undergoing functional and structural magnetic resonance imaging (fMRI) scans.

Dr. Smith and colleagues, including Dr. Stephen Rao from the Cleveland Clinic, tracked four groups of healthy older adults ages 65 - 89, who had normal cognitive abilities, over an 18 - month period and measured the volume of their hippocampus (using structural magnetic resonance imaging, or MRI) at the beginning and end of that time period.

Not exact matches

Researchers used diffusion tensor imaging (DTI), an enhancement of magnetic resonance imaging (MRI), to evaluate and compare the structural and functional properties of the main connections between different brain regions.

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

Magnetic resonance imaging techniques, including structural imaging (MRI), functional imaging (fMRI), and spectroscopy (MRS), which measures brain chemistry, are noninvasive and thus can be used both in humans and in animals to study multiple aspects of brain structure and function.

Investigations using post-mortem brain specimens and magnetic resonance imaging (MRI) suggest subtle structural differences in several brain regions between reading - disabled (RD) and nonimpaired readers.

The Gaablab utilizes structural and functional magnetic resonance imaging (fMRI) as well as behavioral measurement tools.

Brain Structural Signatures of Adolescent Depressive Symptom Trajectories: A Longitudinal Magnetic Resonance Imaging Study.