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ISSN : 1226-9654
Differences in Resting-State Functional Network between Depressed and Non-Depressed Elderlies
Abstract
Late-life depression(LLD) is overshadowed by the general physical symptoms of the elderly, making it difficult to diagnose and treatment accurately. In the rs-fMRI study, salience network is a suitable network to describe emotional control and goal-directed behavior processes related to depression symptoms, and is known to be an important network for therapeutic effects, but studies for depressed elderly people are lacking. In this study, we compared the resting-state of 18 LLD group (GDS M=21.78 SD=3.30) and 18 randomized control group(GDS M=8.78 SD=4.42). We used a network based statistic (NBS) for searching network dynamics within the salience network(intra/inter). Thus, connectivity within salience network(caudate-amygdala) was significantly lower in the depressed group, and connectivity between networks(insula-prefrontal cortex-lateral parietal cortex) was found to be contrary to the prior study. In addition, we used a graph theory analysis for identifying inconsistent network topology between groups, LLD group was found to be significantly lower in the small-worldness and clustering coefficient(salience network, default mode network, temporal lobe) although there were no differences between the two groups in characteristic path length. Reduced intra-network connectivity seems to be related to difficulties in behavior and emotion regulation, while reduced inter-network connectivity seems to reflect a reduction in goal-directed behavior rather than a negative reflection on the past. The results of this study suggest that there is intended to help neuropsychological understanding of the symptoms of depressed elderly people, and also help with treatment using TMS(transcranial magnetic stimulation) by examining areas of poor network connectivity and efficiency.
- keywords
- late-life depression, resting-state network, network based statistics, graph theory. salience network, 노년기 우울, 휴지기 네트워크, 네트워크 기반 통계(NBS), 그래프 이론, 현저성 네트워크
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