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Published on: May 12, 2019
Adaptive coding in the human brain: Distinct object features are encoded by overlapping voxels in frontoparietal
Jade B Jackson1, Alexandra Woolgar2
1King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Neuroimaging, London, United Kingdom; Perception in Action Research Centre and Department of Cognitive Science, Macquarie University, and ARC Centre of Excellence in Cognition and its Disorders, Macquarie University, Sydney, Australia.
The human brain
Area of Science:
- Cognitive Neuroscience
- Neuroimaging
- Human Brain Function
Background:
- Cognitive control involves flexibly switching between tasks.
- Prefrontal neurons in non-human primates reconfigure to code task-relevant information.
- The human multiple demand (MD) system is hypothesized to control tasks by adjusting responses.
Purpose of the Study:
- To investigate whether the same or different neural resources are recruited in the human brain for different tasks.
- To bridge the gap between non-human primate and human studies on task-switching.
- To examine human functional imaging data at the voxel level to quantify contributions to multiple neural codes.
Main Methods:
- Participants alternated between two feature-selection tasks.
- Examined if neural codes for relevant stimulus features in both tasks relied on the same or different voxels.
- Quantified voxel contribution to multiple neural codes using functional imaging data.
Main Results:
- Multiple demand (MD) region voxels were more likely to contribute to multiple neural codes than predicted by permutation tests.
- Neural codes in the visual system relied on distinct sets of voxels for each task.
- Data highlight the adaptive coding flexibility of MD regions.
Conclusions:
- The multiple demand (MD) system in the human brain exhibits flexibility, reconfiguring responses to adaptively code relevant information across tasks.
- This finding supports the role of the MD system in cognitive control and task switching.
- Human voxel-level analysis provides intermediate resolution to understand neural resource recruitment for cognitive flexibility.
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