neuroimaging


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Related to neuroimaging: Brain imaging

neu·ro·im·ag·ing

 (no͝or′ō-ĭm′ĭ-jĭng, nyo͝or′-)
n.
Radiological imaging that depicts brain structure or function.
References in periodicals archive ?
This text on the clinical value of neuroimaging in diagnosis and treatment of cerebrovascular diseases is written by clinicians for clinicians, and therefore does not emphasize technical details of imaging modalities.
His winning paper was called The Mechanisms Of Tinnitus: Perspectives From Human Functional Neuroimaging.
For the last couple of years The Hastings Center has been running a research project with the title, "On the Uses and Misuses of Neuroimaging Technology.
The study was done at the Wellcome Trust Centre for Neuroimaging at University College London, where the same team showed how "spatial" memories relating to a person's location could be "read".
The research, conducted for the universityos Lewis Center for Neuroimaging, will try to identify the mechanisms involved in helping the brain adapt when a limb is lost or absent.
The main point of our article was to call attention to the overestimation of individual differences correlations in a subset of neuroimaging papers.
This manuscript aims to: (i) provide a basic overview of the most commonly utilised techniques used for imaging in neurosciences, namely functional magnetic resonance imaging (fMRI), positron emission tomography (PET), single-photon emission computerised tomography (SPECT), electroencephalography (EEG), and magnetoencephalography (MEG); (ii) discussing how functional neuroimaging might serve the profession in investigations of the supraspinal effects of chiropractic SM; and (iii) discussing the feasibility of utilising functional neuroimaging in future chiropractic research.
Young people with cannabis dependence have altered brain function that may be the source of emotional disturbances and increased psychosis risk that are associated with cannabis abuse, according to a new study published in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.
The researchers used a computer-based technology called machine learning, which trains itself to look for differences that can separate the neuroimaging results into two groups -- autism or non-autism -- and predict future diagnoses.
Neurologists and radiologists from Germany present 18 chapters on the use of magnetic resonance (MR) neuroimaging for the brain, spine, and peripheral nerves.
When evaluating a patient, a psychiatrist is often faced by the following dilemma regarding neuroimaging: either that no further imaging is warranted or to request further neuroimaging by computerised tomography (CT) scan or magnetic resonance imaging (MRI) scan.
The diagnostic yield of neuroimaging in chronic headache is low, however it can reduce the use of health services by reducing referral to secondary care2.