| Title |
Memory consolidation effects on memory stabilization and item integration in older adults
|
|---|---|
| Published in |
Psychonomic Bulletin & Review, November 2016
|
| DOI | 10.3758/s13423-016-1197-0 |
| Pubmed ID | |
| Authors |
Helen Brown, Elizabeth A. Maylor |
| Abstract |
This study examined the differential effects of aging on consolidation processes that strengthen newly acquired memory traces in veridical form (memory stabilization) versus consolidation processes that are responsible for integrating these memory traces into an existing body of knowledge (item integration). Older adults learned 13 nonwords and were tested on their memory for the nonwords, and on whether these nonwords impacted upon processing of similar-sounding English words immediately and 24 hours later. Participants accurately recognized the nonwords immediately, but showed significant decreases in delayed recognition and recall. In comparison, the nonwords impacted upon processing of similar-sounding words only in the delayed test. Together, these findings suggest that memory consolidation processes may be more evident in item integration than memory stabilization processes for new declarative memories in older adults. |
X Demographics
The data shown below were collected from the profiles of 7 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 Kingdom | 2 | 29% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 2 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 27% |
| Student > Bachelor | 4 | 15% |
| Researcher | 3 | 12% |
| Student > Master | 2 | 8% |
| Lecturer | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 5 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 11 | 42% |
| Neuroscience | 2 | 8% |
| Business, Management and Accounting | 1 | 4% |
| Computer Science | 1 | 4% |
| Linguistics | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 8 | 31% |