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Neural activity during working memory encoding, maintenance, and retrieval: A network-based model and meta-analysis.
1Department of Rehabilitation Psychology, Daegu University, Gyeongsan-si, Republic of Korea.
Human Brain Mapping
|August 3, 2019
Summary
Working memory (WM) involves distinct brain networks for encoding, maintenance, and retrieval. The dorsal attention network (DAN) is key for encoding, while the frontoparietal control network (FPCN) is crucial for later stages.
Area of Science:
- Cognitive Neuroscience
- Neuroimaging
Background:
- Working memory (WM) involves temporal subprocesses: encoding, maintenance, and retrieval.
- The specific intrinsic brain networks underlying these WM phases remain unclear.
Purpose of the Study:
- To model and validate the distinct intrinsic network contributions to WM temporal subprocesses.
- To clarify the roles of the dorsal attention network (DAN) and frontoparietal control network (FPCN) in WM phases.
Main Methods:
- Construction of a computational model of intrinsic network involvement in WM phases.
- Quantitative meta-analysis of functional neuroimaging data to test the model's predictions.
- Between-phase contrasts to identify double dissociations between networks and WM stages.
Main Results:
- Model suggests decreasing DAN involvement and increasing FPCN involvement from encoding to retrieval.
- Meta-analysis confirmed phase-specific network contributions, with double dissociations observed.
- Distinct functional roles for closely located DAN and FPCN regions were identified.
Conclusions:
- WM temporal subprocesses are supported by distinct, dynamically interacting intrinsic networks.
- The DAN is primarily involved in WM encoding, while the FPCN is critical for maintenance and retrieval.
- This study refines our understanding of WM network organization and functional specialization.
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