EEG researchers have discovered a common pattern of brain activity related to depression. This can be an early diagnosis mechanism, especially if the human symptoms are grave.
According to the World Health Organization, more than 300 million people are depressed in the world, but the condition is poorly understood and it is difficult to diagnose. Previous studies have generally had participants in the lie fMRI scanner and look at upsetting pictures or listen to the sad stories. These surveys have been able to deal with the feelings of healthy and depressed persons, but they still do not reveal the fluctuations and mechanisms of natural mood that have caused these changes.
21 patients in the University of California at San Francisco (UCSF) attended 40-70 intracranial electrodes for 7-10 days. This study was not conducted, but it was part of the identification and treatment of epileptic lagging assets – a new study has been used without any possibility.
Electrodes evaluated brain activity in patients and compared brain activity in brain brains, found that 13 out of 21 patients showed fluctuations between amidegia and hypoCampus associated with depressive mood. These are two areas that have long been associated with memory and negative feelings.
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"This study has shown that there is a natural network that seems to be consistently predicting most of the subjects," says co-chairman Vekas Sohal (@ ehalabi), psychiatrist and neurosurgeon at UCSF. "We were surprised by a clear and consistent signal that consisted of a specific frequency of interaction between amidella and hipokamapus that corresponded to the changes in these 13 patients."
This is a wonderful discovery that ultimately allows doctors to get better treatment. Although it is not likely to be a direct diagnosis, it may be possible to evaluate the symptoms of depression and the associated brain samples. Vikaas told ZME Science that brain communication they measured while not perfect, yielded results:
"Our main result of the change in the function of a specific network of brain changes correlate with changes in the change, which is measured using a questionnaire based on the tablet. This would not be used if a person diagnosed with a psychiatric condition, but can be used for a specific amount of time the individual symptoms of Strength It is an idea that we and others may continue to develop new treatments for depression or anxiety in severe cases that do not respond to existing treatments In general, the brain activity that we measure is estimated to be about 40-50% of the person's mood variation 2/3 to predict the subjects. "
This research essentially offers new complex tools and a new way of how the brain works and how it relates to mood and potentially mental illness. Understanding how this communication works will allow researchers to develop ways of selecting the treatment of these parts of the brain.
Research has some limitations, however, as samples were not clear for all patients. The authors emphasize that they do not know if the signal is expressed on the mood shift or if it is the result of the altered mood. However, where the difference is, the excitement seems to be a good forecasts of success.
"We found that this particular form of brain activity (beta-frequency communication between amyhdala and hippocampus) predicted about 2/3 of subjects in the subjects.It is interesting that it was for all the subjects who had a clinically significant anxiety without the clinically significant anxiety for the subjects , Sometimes this method is informative Lee was and sometimes it was not. "
Overall, this is only the first step towards what the potential of a long (and very rewarding) way. Vikaas and several other researchers estimate biological (and neurological) activities that match our mood, which will be a great achievement.
"For example, we do not know whether brain activity is a cause of depressive mood or if this indicator is low, we and others are thinking about how to learn the brain mechanisms that create the brain's activity in order to get the mood of biology We also want to know how to activate this brain activity A mood of the potential of new attitudes in order to detect ".
Journal Reference: Cell, Kirkby et al.: "Amygdala-hippocampus subnetwork that encodes the natural variation of the human mood" https://www.cell.com/cell/fulltext/S0092-8674(18)31313-8
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