Quantitative Analysis of EEG Activity in Mild and Moderately Depressed Young Adult
| dc.contributor.author | Lim Zi Xiang | |
| dc.date.accessioned | 2026-10-13T06:50:28Z | |
| dc.date.issued | 2018 | |
| dc.description | Several brain regions that show abnormal activities are known to be linked to depression such as anterior region of the brain and prefrontal cortex (PFC). Besides that, the persistence of default mode network (DMN) on the inferior parietal lobe (IPL) also associated to rumination of negative thoughts. This study aimed to identify the distinction in brain activity of young adults suffering mild and moderate depression in Malaysia. Quantitative Electroencephalography (qEEG) sources were assessed from 12 depressed university students with recommendation from counselors and 12 healthy university students. Participants were then group according to Beck Depression Inventory (BDI) criteria. The results of current study shows significant difference in beta1 (U = 43.0, p = .050, r = .34) and beta2 (U = 43.0, p = .050, r = .34) activities on the anterior region of the brain and heightened theta activity (U = 41.0, p = .038, r = .37) on the PFC in the depressed group. However, IPL in depressed group shows no persistency of alpha activity unlike previous study and has no relation to rumination thoughts (𝑟𝑆(24) = -.034, p = .44). Excess beta activity is often found on patients suffering from depression and those with recurrent depression and excess theta on PFC is an indication of dysfunction in attention and working memory. Furthermore, coherence analysis supported the notion of imbalanced functional processes and low coherence on left and right frontal are potential areas for Neurofeedback Training (NFT). | |
| dc.identifier.uri | https://scholarhub.unimas.my/handle/123456789/2981 | |
| dc.language.iso | English | |
| dc.publisher | UNIVERSITI MALAYSIA SARAWAK | |
| dc.relation.ispartofseries | Faculty of Cognitive Sciences and Human Development | |
| dc.subject | qEEG, DMN, Anterior, PFC | |
| dc.title | Quantitative Analysis of EEG Activity in Mild and Moderately Depressed Young Adult | |
| dc.type | Masters |