Intrinsic Functional Connectivity in the Default Mode Network Predicts Mnemonic Discrimination: A Connectome-based Modeling Approach

Abstract

The ability to distinguish existing memories from similar perceptual experiences is a core feature of episodic memory. This ability is often examined using the Mnemonic Similarity Task in which people discriminate memories of studied objects from perceptually similar lures. Studies of the neural basis of such mnemonic discrimination have focused on hippocampal function and connectivity. However, default mode network (DMN) connectivity may also support such discrimination, given that the DMN includes the hippocampus, and its connectivity supports many aspects of episodic memory. Here, we used connectome-based modeling to identify associations between intrinsic DMN connectivity and mnemonic discrimination. We leveraged established discrimination deficits in older adults to test whether such age differences moderate network-wide relationships. Resting-state functional connectivity in the DMN predicted mnemonic discrimination ability outside the MRI scanner, especially among prefrontal and temporal regions and including several hippocampal regions. This predictive relationship was stronger for younger than older adults, with age differences primarily reflecting older adults’ weaker temporal-prefrontal connectivity. These novel associations suggest that broader cortical networks including the hippocampus support mnemonic discrimination. They also suggest that disruptions within the DMN that emerge in healthy aging undermine the extent that the DMN supports this ability. These findings provide the first indication of how intrinsic functional properties of the DMN support mnemonic discrimination.

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“…Connectome-based predictive modeling (CPM) utilizes all the functional connection strength within the whole-brain network or subnetwork to predict certain ability, revealing the neural substrates underlying psychological traits from both whole-brain network or a functional subnetwork perspective (Finn et al, 2015;Shen et al, 2017). CPM has been widely and successfully used to predict fluid intelligence, creativity ability, internet gaming disorder and mnemonic discrimination (Beaty et al, 2018;Shen et al, 2017;Song et al, 2021;Wahlheim et al, 2021), therefore being an appropriate method for exploring the association between intrinsic functional connectivity and EFT ability.…”