| Title |
The neural correlates of perceived energy levels in older adults with late-life depression
|
|---|---|
| Published in |
Brain Imaging and Behavior, August 2018
|
| DOI | 10.1007/s11682-018-9940-y |
| Pubmed ID | |
| Authors |
Charlene L. M. Lam, Ho-Ling Liu, Chih-Mao Huang, Yau-Yau Wai, Shwu-Hua Lee, Jenny Yiend, Chemin Lin, Tatia M. C. Lee |
| Abstract |
Late-life depression is common among older adults. Although white-matter abnormality is highly implicated, the extent to which the corticospinal tract is associated with the pathophysiology of late-life depression is unclear. The current study aims to investigate the white-matter structural integrity of the corticospinal tract and determine its cognitive and functional correlates in older adults with late-life depression. Twenty-eight older adults with clinical depression and 23 healthy age-matched older adults participated in the study. The white matter volume and the white matter hyperintensities (WMHs) of the corticospinal tract, as well as the global WMHs, were measured. Psychomotor processing speed, severity of depression, perceived levels of energy and physical functioning were measured to examine the relationships among the correlates in the depressed participants. The right corticospinal tract volume was significantly higher in depressed older adults relative to healthy controls. Moreover, the right corticospinal tract volume was significantly associated with the overall severity of depression and accounted for 17% of its variance. It further attenuated the relationship between the severity of depression and perceived levels of energy. Our findings suggested that higher volume in the right corticospinal tract is implicated in LLD and may relate to lower perceived levels of energy experienced by older adults with depression. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 23% |
| Student > Master | 5 | 16% |
| Student > Ph. D. Student | 5 | 16% |
| Student > Doctoral Student | 2 | 6% |
| Librarian | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 8 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 4 | 13% |
| Nursing and Health Professions | 4 | 13% |
| Psychology | 4 | 13% |
| Medicine and Dentistry | 3 | 10% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 11 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 August 2018.
All research outputs
#18,648,325
of 23,102,082 outputs
Outputs from Brain Imaging and Behavior
#864
of 1,158 outputs
Outputs of similar age
#257,504
of 335,220 outputs
Outputs of similar age from Brain Imaging and Behavior
#16
of 30 outputs
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