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Specialization for different memory dimensions in brain activity evoked by cued recollection.
Federica Procida1, Matteo Frisoni2, Maria Giulia Tullo3
1Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Via dei Vestini 31, 66100, Chieti, Italy; ITAB Institute for Advanced Biomedical Technologies, University G. d'Annunzio of Chieti-Pescara, Via dei Vestini 31, 66100, Chieti, Italy.
Neuroimage
|January 30, 2025
Summary
Retrieving specific memory details recruits brain networks differently. The Frontoparietal Control Network (FPCN) shows general activation, while the Default Mode Network (DMN) exhibits specialization for distinct memory dimensions, impacting performance.
Area of Science:
- Cognitive Neuroscience
- Neuroimaging
- Human Memory
Background:
- Cued recollection retrieves event features.
- Complex event recall engages Default Mode Network (DMN) and Frontoparietal Control Network (FPCN).
- Specialization within these networks for memory dimensions is not well understood.
Purpose of the Study:
- Investigate how brain network activity varies across different memory dimensions during cued recollection.
- Determine the role of the DMN and FPCN in retrieving specific memory features (object, spatial, temporal, verbal).
Main Methods:
- Functional Magnetic Resonance Imaging (fMRI) study.
- Participants recalled specific details of an encoded TV show.
- Assessed memory for object/character details, spatial layouts, temporal sequences, and verbal dialogues.
Main Results:
- Common left-lateralized activation in the FPCN across all memory dimensions.
- Greater specialization for memory dimensions within the DMN, particularly posterior nodes.
- Dimension-related specificity in both networks correlated with memory performance.
- DMN showed leftward asymmetry for most dimensions, while FPCN was bilateral.
Conclusions:
- Specific memory information processing involves a mosaic of associative cortical regions.
- DMN and FPCN exhibit distinct patterns of specialization and lateralization in memory retrieval.
- Findings support a distributed network model for higher-order mnemonic functions.
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