fMRI Responses in Healthy Individuals and in Patients with Mild Depression to Presentation of Pleasant and Unpleasant Images
Sign Up to like & getrecommendations! Published in 2018 at "Bulletin of Experimental Biology and Medicine"
DOI: 10.1007/s10517-018-4040-y
Abstract: Patients with mild depression and apparently healthy individuals were presented images and asked to sort them into “pleasant” and “unpleasant” subsets. In both groups, the main differences between brain activation patterns during presentation of pleasant… read more here.
Keywords: mild depression; pleasant unpleasant; healthy individuals; presentation pleasant ... See more keywords
Multimodal Mild Depression Recognition Based on EEG-EM Synchronization Acquisition Network
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2901950
Abstract: In this paper, we used electroencephalography (EEG)-eye movement (EM) synchronization acquisition network to simultaneously record both EEG and EM physiological signals of the mild depression and normal controls during free viewing. Then, we consider a… read more here.
Keywords: fusion; recognition; acquisition network; synchronization acquisition ... See more keywords
Abnormal Brain Topological Structure of Mild Depression During Visual Search Processing Based on EEG Signals
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3181690
Abstract: Studies have shown that attention bias can affect behavioral indicators in patients with depression, but it is still unclear how this bias affects the brain network topology of patients with mild depression (MD). Therefore, a… read more here.
Keywords: topology; based eeg; mild depression; depression ... See more keywords
A Deep Learning Approach for Mild Depression Recognition Based on Functional Connectivity Using Electroencephalography
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2020.00192
Abstract: Early detection remains a significant challenge for the treatment of depression. In our work, we proposed a novel approach to mild depression recognition using electroencephalography (EEG). First, we explored abnormal organization in the functional connectivity… read more here.
Keywords: depression; approach mild; mild depression; functional connectivity ... See more keywords