San Francisco: US researchers at the University of California San Francisco (UCSF) have found a new pattern of brain activity that can help develop new therapies in the future to treat mood disorders such as depression. The most human brain research on mood diseases has claimed studies where participants reside in a functional magnetic resonance imager (fMRI) scanner and look at disturbing images or listen to boring stories, reports Xinhua News Agency.
The researchers from the UCSF Weill Institute for Neurosciences recruited 21 patients with epilepsy who had had 40 to 70 electrodes implanted on the brain’s surface and into deeper structures in the brain to record brain activities for seven to ten days.
Using calculation algorithms, patterns of brain activity matched changes in patient’s reported mood and analyzed brain activity recordings of each patient to identify so-called native coherence networks (ICNs) that are groups of brain regions where their activity patterns fluctuate with a common frequency . 1
9659002] The researchers found that changes in brain activity were strongly linked to daily challenges with low or depressed mood. The mood-related network was characterized by beta waves in hippocampus and amygdala, two deep brain regions that have long been correlated with memory and negative emotions respectively. (IANS)
Also read: Sovdilemma study finds both excessive and less sleepy brain