Year: 2015
Type: article
Study design: Observational Study
Abstract: Although major depression has been considered as a manifestation of discoordinated activity between affective and cognitive neural networks, only a few studies have examined the relationships among neural networks directly. Because of the known disconnection theory, geriatric depression could be a useful model in studying the interactions among different networks. In the present study, using independent component analysis to identify intrinsically connected neural networks, we investigated the alterations in synchronizations among neural networks in geriatric depression to better understand the underlying neural mechanisms. Resting-state fMRI data was collected from thirty-two patients with geriatric depression and thirty-two age-matched never-depressed controls. We compared the resting-state activities between the two groups in the default-mode, central executive, attention, salience, and affective networks as well as correlations among these networks. The depression group showed stronger activity than the controls in an affective network, specifically within the orbitofrontal region. However, unlike the never-depressed controls, geriatric depression group lacked synchronized/antisynchronized activity between the affective network and the other networks. Those depressed patients with lower executive function has greater synchronization between the salience network with the executive and affective networks. Our results demonstrate the effectiveness of the between-network analyses in examining neural models for geriatric depression.
Source: BioMed Research International
DOI: 10.1155/2015/343720
Institutions: Duke University, UConn Health
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $2,680
Awards: G1055748696, G1236474057, G1704089212, Dorsal Cingulate Activity and Cognitive Decline in Late-Life Depression, Geriatric Depression: Risk Factors for Adverse Outcomes, FMRI: Prediction of Mild Cognitive Impairment In Geriatric Depression, Anhedonia, Aging, and the Neural Correlates of Attentional Control in Depression, G8476583777
OpenAlex ID: W1492999652