| Title |
Brain structural basis of individual variability in dream recall frequency
|
|---|---|
| Published in |
Brain Imaging and Behavior, September 2018
|
| DOI | 10.1007/s11682-018-9964-3 |
| Pubmed ID | |
| Authors |
Shuqin Zhou, Jing Xu, Zihui Su, Yuezhen Li, Yan Shao, Hongqiang Sun, Huaiqiu Zhu, Qihong Zou, Jia-Hong Gao |
| Abstract |
Recent neuroimaging studies have indicated that inter-individual variability in dream recall frequency (DRF) is associated with both resting-state regional cerebral blood flow and task-induced brain activations. However, the brain structure underpinning this inter-individual variability in DRF remains unclear. The aim of the current study is to investigate the relationship between brain structural characteristics and DRF. We collected both T1-weighted and diffusion tensor magnetic resonance imaging data from 43 healthy volunteers. DRF was obtained from a two-week sleep diary with a subjective report of dream recall upon waking every morning. General linear model analysis was used to evaluate the relationship between brain structural characteristics (cortical volume and white matter integrity) and DRF. Not only the cortical volume of the medial portion of the right fusiform gyrus and parahippocampal gyrus but also the fractional anisotropy of white matter fibers connected to these regions were significantly negatively correlated with DRF, and these relationships were not modulated by a regular sleep. These findings provide direct evidence that brain structural characteristics are associated with inter-individual variability in DRF and may help us to better understand the structural mechanisms in the brain underlying dream recall. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
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| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 20% |
| Student > Master | 4 | 20% |
| Professor | 2 | 10% |
| Other | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 6 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 6 | 30% |
| Agricultural and Biological Sciences | 2 | 10% |
| Psychology | 2 | 10% |
| Nursing and Health Professions | 1 | 5% |
| Energy | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 5 | 25% |
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 01 February 2020.
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#18,649,291
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Outputs from Brain Imaging and Behavior
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Outputs of similar age from Brain Imaging and Behavior
#16
of 28 outputs
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