| Title |
The relationship between voxel-based metrics of resting state functional connectivity and cognitive performance in cognitively healthy elderly adults
|
|---|---|
| Published in |
Brain Imaging and Behavior, February 2018
|
| DOI | 10.1007/s11682-018-9843-y |
| Pubmed ID | |
| Authors |
Haobo Zhang, Perminder S. Sachdev, Anbupalam Thalamuthu, Yong He, Mingrui Xia, Nicole A. Kochan, John D. Crawford, Julian N. Trollor, Henry Brodaty, Wei Wen |
| Abstract |
In previous studies, resting-state functional connectivity (FC) metrics of specific brain regions or networks based on prior hypotheses have been correlated with cognitive performance. Without constraining our analyses to specific regions or networks, we employed whole-brain voxel-based weighted degree (WD), a measure of local FC strength, to be correlated with three commonly used neuropsychological assessments of language, executive function and memory retrieval in both positive and negative directions in 67 cognitively healthy elderly adults. We also divided voxel-based WD into short-ranged and long-ranged WDs to evaluate the influence of FC distance on the WD-cognition relationship, and performed three validation tests. Our results showed that for language and executive function tests, positive WD correlates were located in the frontal and temporal cortices, and negative WD correlates in the precuneus and occipital cortices; for memory retrieval, positive WD correlates were located in the inferior temporal cortices, and negative WD correlates in the anterior cingulate cortices and supplementary motor areas. An FC-distance-dependent effect was also observed, with the short-ranged WD correlates of language and executive function tests located in the medial brain regions and the long-ranged WD correlates in the lateral regions. Our findings suggest that inter-individual differences in FC at rest are predictive of cognitive ability in the elderly adults. Moreover, the distinct patterns of positive and negative WD correlates of cognitive performance recapitulate the dichotomy between task-activated and task-deactivated neural systems, implying that a competition between distinct neural systems on functional network topology may have cognitive relevance. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 18% |
| Student > Master | 8 | 16% |
| Researcher | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Professor | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 20 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 10 | 20% |
| Neuroscience | 7 | 14% |
| Medicine and Dentistry | 3 | 6% |
| Nursing and Health Professions | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 20 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 13 March 2018.
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#1,447,524
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Outputs from Brain Imaging and Behavior
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Outputs of similar age from Brain Imaging and Behavior
#2
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