You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Theta-Gamma Coupling and Working Memory in Alzheimer’s Dementia and Mild Cognitive Impairment
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, April 2018
|
| DOI | 10.3389/fnagi.2018.00101 |
| Pubmed ID | |
| Authors |
Michelle S. Goodman, Sanjeev Kumar, Reza Zomorrodi, Zaid Ghazala, Amay S. M. Cheam, Mera S. Barr, Zafiris J. Daskalakis, Daniel M. Blumberger, Corinne Fischer, Alastair Flint, Linda Mah, Nathan Herrmann, Christopher R. Bowie, Benoit H. Mulsant, Tarek K. Rajji |
| Abstract |
Working memory deficits are common among individuals with Alzheimer's dementia (AD) or mild cognitive impairment (MCI). Yet, little is known about the mechanisms underlying these deficits. Theta-gamma coupling-the modulation of high-frequency gamma oscillations by low-frequency theta oscillations-is a neurophysiologic process underlying working memory. We assessed the relationship between theta-gamma coupling and working memory deficits in AD and MCI. We hypothesized that: (1) individuals with AD would display the most significant working memory impairments followed by MCI and finally healthy control (HC) participants; and (2) there would be a significant association between working memory performance and theta-gamma coupling across all participants. Ninety-eight participants completed the N-back working memory task during an electroencephalography (EEG) recording: 33 with AD (mean ± SD age: 76.5 ± 6.2), 34 with MCI (mean ± SD age: 74.8 ± 5.9) and 31 HCs (mean ± SD age: 73.5 ± 5.2). AD participants performed significantly worse than control and MCI participants on the 1- and 2-back conditions. Regarding theta-gamma coupling, AD participants demonstrated the lowest level of coupling followed by the MCI and finally control participants on the 2-back condition. Finally, a linear regression analysis demonstrated that theta-gamma coupling (β = 0.69, p < 0.001) was the most significant predictor of 2-back performance. Our results provide evidence for a relationship between altered theta-gamma coupling and working memory deficits in individuals with AD and MCI. They also provide insight into a potential mechanism underlying working memory impairments in these individuals. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 22% |
| Switzerland | 1 | 11% |
| Canada | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 216 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 43 | 20% |
| Researcher | 42 | 19% |
| Student > Master | 20 | 9% |
| Student > Bachelor | 18 | 8% |
| Student > Doctoral Student | 10 | 5% |
| Other | 28 | 13% |
| Unknown | 55 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 63 | 29% |
| Psychology | 24 | 11% |
| Medicine and Dentistry | 13 | 6% |
| Engineering | 10 | 5% |
| Agricultural and Biological Sciences | 9 | 4% |
| Other | 23 | 11% |
| Unknown | 74 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 04 May 2018.
All research outputs
#2,025,017
of 25,375,376 outputs
Outputs from Frontiers in Aging Neuroscience
#580
of 5,481 outputs
Outputs of similar age
#38,250
of 303,044 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#21
of 113 outputs
Altmetric has tracked 25,375,376 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,481 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 303,044 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.