Ultrafast fMRI reveals serial queuing of information processing during multitasking in the human brain.
Saved in:
| Title: | Ultrafast fMRI reveals serial queuing of information processing during multitasking in the human brain. |
|---|---|
| Authors: | Yue, Qiuhai, Newton, Allen T., Marois, René |
| Source: | Nature Communications; 3/29/2025, Vol. 16 Issue 1, p1-21, 21p |
| Subject Terms: | PROCESS capability, HUMAN multitasking, MEDICAL sciences, COGNITIVE psychology, CLINICAL health psychology |
| Abstract: | The human brain is heralded for its massive parallel processing capacity, yet influential cognitive models suggest that there is a central bottleneck of information processing distinct from perceptual and motor stages that limits our ability to carry out two cognitively demanding tasks at once, resulting in the serial queuing of task information processing. Here we used ultrafast (199 ms TR), high-field (7T) fMRI with multivariate analyses to distinguish brain activity between two arbitrary sensorimotor response selection tasks when the tasks were temporally overlapping. We observed serial processing of task-specific activity in the fronto-parietal multiple-demand (MD) network, while processing in earlier sensory stages unfolded largely in parallel. Moreover, the MD network combined with modality-specific motor areas to define the functional characteristic of the central bottleneck at the stage of response selection. These results provide direct neural evidence for serial queuing of information processing and pinpoint the neural substrates undergirding the central bottleneck. Using ultra-fast, high-field fMRI, this study shows that the fronto-parietal multiple-demand network, along with motor areas, constitute a serial bottleneck of information processing that limits our ability to multitask. [ABSTRACT FROM AUTHOR] |
| Copyright of Nature Communications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
Be the first to leave a comment!
Full Text Finder
Nájsť tento článok vo Web of Science