Until recently physicians have had to rely on time-consuming and uncertain behavioural examinations to diagnose the onset of brain diseases such as multiple sclerosis, Alzheimer's and schizophrenia.
Research published the week of August 27 in the Institute of Physics' Journal of Neural Engineering suggests that we could soon be able to diagnose the onset of many brain diseases by analysing the tiny magnetic fields produced by neuron activity in the brain.
This is a significant breakthrough for neurologists and psychiatrists as it could present a fast and simple screening test for brain diseases, while also helping differentiate between different brain diseases that have similar symptoms.
A team of investigators from the University of Minnesota Medical School in Minneapolis, US, led by Professor Apostolos P. Georgopoulos, has been analysing the magnetic charges released when neuronal populations in our brains 'couple'. By comparing the patterns of tiny magnetic charges in healthy brains to those afflicted with common diseases such as Alzheimer's, the team has been able to identify the patterns commonly associated with these debilitating diseases.
A process called magnetoencephalography (MEG), a non-invasive measurement of magnetic fields in the brain, has been used to examine a total of 142 volunteers during tests which last between 45-60 seconds. The team first studied 52 volunteers to find patterns of neural activity that could identify all the different illnesses. They then tested a further 46 patients to see whether the patterns found from the first group could accurately diagnose disease within a second group. Here, many of the predictors found from the first set of participants also correctly diagnosed more than 90% of subjects in the second sample.
All behavior and cognition in the brain involves networks of nerves continuously interacting--these interactions occur on a millisecond by millisecond basis. The MEG has 248 sensors that record the interactions in the brain on a millisecond by millisecond basis, much faster than current methods of evaluation such as the functional magnetic resonance imaging (fMRI), which takes seconds to record. The measurements they recorded represent the workings of tens of thousands of brain cells.
Professor Georgopoulos said, "We want to continue and acquire data from a large number of subjects - patients and matched controls. The throughput of this MEG test is large so we can continue a high rate of testing and we hope that clinical applications can become a reality in a year or two."
Diagnosing illnesses like Alzheimer's has always been very difficult, particularly in the early stages. Physicians are forced to rely on conversations with patients, memory tests, physical examinations and, occasionally, brain scans. It is sometimes not until post-mortem or after a biopsy that cause of illness can be confirmed.
Materials provided by Institute of Physics. Note: Content may be edited for style and length.
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