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SAN FRANCISCO, Nov. 11 (UrduPoint / Pakistan Point News, app – Nov 11, 2018): U.S. The University of California, San Francisco (UCSF) has found a new pattern of brain disorders that can be used to treat depression.
Most human brain research in a study of magnetic resonance imaging (fMRI) scanner and look at upsetting images or listen to sad stories.
However, the scientists from UCSF Weill Institute for Neuroscience recruited 21 patient volunteers with epilepsy who had had 40 to 70 electrodes implanted on the brain's surface and in deeper structures of the brain to record brain activities for seven to 10 days.
By using computational algorithms, they matched the patterns of brain activity to the in-patient relationships, which are groups of brain regions where their activity patterns fluctuate at a common frequency.
The researchers found that changes in the activity of the brain were highly linked to day-to-day ends of low or depressed mood.
The mood-related network has been characterized by two waves in the hippocampus and amygdala, two deep brain regions that have long been correlated with memory and negative emotion, respectively.
The researchers were able to identify the symptoms that occurred in the patients involved in the experiment.
The discovery suggests that the interactions between the amygdala and hippocampus may be linked to recalling emotional memories, and such activities are most obviously in high places of anxiety, whose mood may be subject to the impact of recalling emotion-laden memories, said UCSF neuroscientist Vikaas Sohal.
The finding of such a powerfully informative biomarker may help scientists develop new therapies to treat mood-related disease such as depression in the future.
The results of the UCSF research appeared in the journal Cell published earlier this week.
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