Medical researchers at the University of Alberta have discovered a new way to track the progression of multiple sclerosis (MS) in those living with the disease, by using a powerful, triple strength MRI to track increasing levels of iron found in brain tissue.

The researchers discovered that iron levels in MS patients are increasing in grey matter areas of the brain that are responsible for relaying messages. High iron levels in a specific "relay area" were noted in patients who had physical disabilities associated with MS.

New research from the University of Southampton could lead to enhanced MRI scans, producing brighter and more precise images, and potentially allowing the detection of cancerous cells before they cause health problems.

Professor Malcolm Levitt of the University of Southampton, and co-workers, have been awarded a grant from the European Research Council of 2.8 million euros to support research into enhanced nuclear magnetic resonance (NMR). NMR is the physical principle underlying MRI scanning, which is used routinely to detect abnormalities such as tumours. The long term aim is that this research will lead to a range of clinical applications, including the early detection of cancer.

A method of classifying brain atrophy patterns in Alzheimer's disease patients using MRIs can also detect cognitive decline in Parkinson's disease, according to a new study by researchers from the Perelman School of Medicine at the University of Pennsylvania. Researchers also found that higher baseline Alzheimer's patterns of atrophy predicted long-term cognitive decline in cognitively normal Parkinson's patients. The study is published online in Brain.

It's still unclear what's different in the brains of people with autism spectrum disorders (ASDs), but evidence from genetic and cell studies points to abnormalities in how brain cells (neurons) connect to each other. A study at Children's Hospital Boston now provides visual evidence associating autism with a disorganized structure of brain connections, as well as defects in myelin -- the fatty, insulating coating that helps nerve fibers conduct signals and that makes up the brain's white matter.

Computer analysis of brain scans could help predict how severe the future illness course of a patient with psychosis will be, according to research funded by the Medical Research Council and the Wellcome Trust. The findings could allow doctors to make more accurate decisions about how best to treat patients.

Psychosis is a condition that affects people's minds, altering the way they think, feel and behave. It can be accompanied by hallucinations and delusions. The most common forms are part of mental health conditions such as schizophrenia and bipolar disorder, but symptoms of psychosis can also occur in conditions such as Parkinson's disease and alcohol or drug abuse.

The ability to dream is a fascinating aspect of the human mind. However, how the images and emotions that we experience so intensively when we dream form in our heads remains a mystery. Up to now it has not been possible to measure dream content. Max Planck scientists working with colleagues from the Charité hospital in Berlin have now succeeded, for the first time, in analysing the activity of the brain during dreaming. They were able to do this with the help of lucid dreamers, i.e. people who become aware of their dreaming state and are able to alter the content of their dreams. The scientists measured that the brain activity during the dreamed motion matched the one observed during a real executed movement in a state of wakefulness.

In a presentation at the Congress of Neurological Surgeons today, University of Virginia neurosurgeon W. Jeffrey Elias, MD reported that preliminary results of a pilot clinical trial indicate that MR-guided focused ultrasound has the potential to safely and effectively control essential tremor (ET), a common neurological condition that affects 10 million Americans.

Carnegie Mellon University biologists have developed an MRI-based technique that allows researchers to non-invasively follow neural stem cells in vivo.

The recently patented technology could be used to further the study of neural stem cells and inform the development of new treatments for brain injury caused by trauma, stroke, Parkinson's disease and other neurological disorders. The findings, authored by Associate Professor of Biological Sciences Eric Ahrens and Biological Sciences postdoctoral student Bistra Iordanova, are published online in the journal NeuroImage.

Imagine tapping into the mind of a coma patient, or watching one's own dream on YouTube. With a cutting-edge blend of brain imaging and computer simulation, scientists at the University of California, Berkeley, are bringing these futuristic scenarios within reach.

Using functional Magnetic Resonance Imaging (fMRI) and computational models, UC Berkeley researchers have succeeded in decoding and reconstructing people's dynamic visual experiences - in this case, watching Hollywood movie trailers.

As yet, the technology can only reconstruct movie clips people have already viewed. However, the breakthrough paves the way for reproducing the movies inside our heads that no one else sees, such as dreams and memories, according to researchers.

Breast imaging reports generated using an automatic speech recognition system are nearly six times more likely to contain major errors than those generated with conventional dictation transcription, a new study in Canada shows.