Journal article 800 views
Predicting Working Memory Capacity Based on Glutamatergic Concentration and its Modulation of Functional Connectivity
George Zacharopoulos 
,
Roi Kadosh Cohen
,
Roi Kadosh Cohen
Neuroscience, Volume: 457, Pages: 12 - 19
Swansea University Author:
George Zacharopoulos
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1016/j.neuroscience.2020.10.037
Abstract
Predicting Working Memory Capacity Based on Glutamatergic Concentration and its Modulation of Functional Connectivity
| Published in: | Neuroscience |
|---|---|
| ISSN: | 0306-4522 |
| Published: |
Elsevier BV
2021
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa58970 |
| Item Description: |
Author aceepted version available at https://ora.ox.ac.uk/objects/uuid:ec29fe5a-82a3-4ef0-b7d2-0a366c60f530 |
|---|---|
| Keywords: |
glutamate; working-memory; intraparietal sulcus; brain connectivity |
| College: |
Faculty of Medicine, Health and Life Sciences |
| Start Page: |
12 |
| End Page: |
19 |