Computational neuroscientists create a virtual brain to find insights into memory deficits in depres
By RUHR-UNIVERSITY BOCHUM June 9, 2018
During a depressive episode the ability of the brain to form new brain cells is reduced. Scientists of the Ruhr-Universität Bochum examined how this affects the memory with a computational model. It was previously known that people in an acute depressive episode were less likely to remember current events. The computational model however suggests that older memories were affected as well. How long the memory deficits reach back depends on how long the depressive episode lasts.
The team around the computational neuroscientist Prof Dr Sen Cheng published their findings in the journal PLOS ONE on 7th June 2018.
In major depressive disorder patients may suffer from such severe cognitive impairments that, in some cases, are called pseudodementia. Unlike in the classic form of dementia, in pseudodementia memory recovers when the depressive episode ends. To understand this process, the scientists from Bochum developed a computational model that captures the characteristic features of the brain of a patient with depressions. They tested the ability of the model to store and recall new memories.
As is the case in patients, the simulation alternated between depressive episodes and episodes without any symptoms. During a depressive episode, the brain forms fewer new neurons in the model.
More:
http://www.psypost.org/2018/06/computational-neuroscientists-create-virtual-brain-find-insights-memory-deficits-depression-51417