Abstract:The hippocampus is critically important for a diverse range of cognitive processes, such as episodic memory, prospective memory, affective processing, and spatial navigation. Using individual-specific precision functional mapping of resting-state functional MRI data, we found the anterior hippocampus (head and body) to be preferentially functionally connected to the default mode network (DMN), as expected. The hippocampal tail, however, was strongly preferentially functionally connected to the parietal memory … Show more
“…Following this suggestion, one could predict a key role for connectivity between the hippocampus and parietal regions in mnemonic discrimination. Indeed, the prominent structural and functional connectivity between the hippocampus and parietal regions has led some to suggest that there is a "parietal memory network" within the DMN that supports episodic memory (Vincent et al, 2006;Zheng et al, 2021). Although network connections of this kind could potentially enable a recall-to-reject mechanism, the present results showed greater connectivity strength of predictive connections within more anterior than posterior DMN regions.…”
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 mostly 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 predictive modeling to identify associations between intrinsic DMN connectivity and mnemonic discrimination. We leveraged a wide range of abilities across healthy younger and older adults to facilitate this predictive approach. Resting-state functional connectivity in the DMN predicted mnemonic discrimination 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, primarily for temporal-prefrontal connectivity. The novel associations established here are consistent with mounting evidence that broader cortical networks including the hippocampus support mnemonic discrimination. They also suggest that age-related network disruptions undermine the extent that the DMN supports this ability. This study provides the first indication of how intrinsic functional properties of the DMN support mnemonic discrimination.
“…Following this suggestion, one could predict a key role for connectivity between the hippocampus and parietal regions in mnemonic discrimination. Indeed, the prominent structural and functional connectivity between the hippocampus and parietal regions has led some to suggest that there is a "parietal memory network" within the DMN that supports episodic memory (Vincent et al, 2006;Zheng et al, 2021). Although network connections of this kind could potentially enable a recall-to-reject mechanism, the present results showed greater connectivity strength of predictive connections within more anterior than posterior DMN regions.…”
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 mostly 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 predictive modeling to identify associations between intrinsic DMN connectivity and mnemonic discrimination. We leveraged a wide range of abilities across healthy younger and older adults to facilitate this predictive approach. Resting-state functional connectivity in the DMN predicted mnemonic discrimination 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, primarily for temporal-prefrontal connectivity. The novel associations established here are consistent with mounting evidence that broader cortical networks including the hippocampus support mnemonic discrimination. They also suggest that age-related network disruptions undermine the extent that the DMN supports this ability. This study provides the first indication of how intrinsic functional properties of the DMN support mnemonic discrimination.
“…The work discussed earlier in this article shows that the thalamic pathway is involved in generalization and cognitive control of memory and is not unique to self-reflection. While we argue that the posterior pathway has a unique relation to sensory orienting, Zheng et al (2021) do not discuss the special role of the parietal lobe in this function. These differences in pathway function should be fruitful for designing studies to distinguish the differences in the functional roles for the connections between attention and memory.…”
Section: Function Of Pathwaysmentioning
confidence: 66%
“…This resting state study does not take into account the task-relevant work on modification of the HC by the ACC and the involvement in generalization discussed earlier in this article. While the two pathways shown in Figure 2 and those discussed by Zheng et al (2021) are anatomically similar and are involved in functions related to memory retrieval, the details in their function are somewhat different. The work discussed earlier in this article shows that the thalamic pathway is involved in generalization and cognitive control of memory and is not unique to self-reflection.…”
Attention is a necessary component in many forms of human and animal learning. Numerous studies have described how attention and memory interact when confronted with a choice point during skill learning. In both animal and human studies, pathways have been found that connect the executive and orienting networks of attention to the hippocampus. The anterior cingulate cortex, part of the executive attention network, is linked to the hippocampus via the nucleus reuniens of the thalamus. The parietal cortex, part of the orienting attention network, accesses the hippocampus via the entorhinal cortex. These studies have led to specific predictions concerning the functional role of each pathway in connecting the cortex to the hippocampus. Here, we review some of the predictions arising from these studies. We then discuss potential methods for manipulating the two pathways and assessing the directionality of their functional connection using viral expression techniques in mice. New studies may allow testing of a behavioral model specifying how the two pathways work together during skill learning.
“…8A, 8B and 8C). Thus, altogether, the Anterior-subiculum(Red) network appears to corresponds to a "self-oriented" behavioral system [11,35] supporting self, motivation and mentalizing behavior and in uenced by dopaminergic systems.…”
Section: Metabolic Pro Les Differ Across the Longitudinal Axis And Sub Eldsmentioning
confidence: 99%
“…This network appears to include the posterior medial subsystem [32], which is particularly engaged in episodic and recollection memory, scene perception, and social cognition including theory of mind. This subsystem seems to belong to a general "goal-oriented" or "word-oriented" behavioural system [11,35], which can be targeted by serotoninergic systems. Thus, the Posterior-Subiculum(Blue), despite being coupled with its anterior counterpart, appears to be part of a larger whole-brain network associated to different behavioral systems and that could be in uenced by different neurotransmitters systems.…”
Section: Different Hippocampal Metabolic Network Corresponding To Different Behavioral and Neurophysiological Systemsmentioning
Purpose: Hippocampal dysfunction happens across many neuropsychiatric disorders and is the hallmark of Alzheimer’s disease with evidenced metabolic alterations. However, while metabolic changes are a key aspect of Alzheimer’s disease, hippocampal metabolic networks, as defined by metabolic covariance, haven’t been identified in healthy populations. As the hippocampus portrays cytoarchitectural, connectional, and functional heterogeneity, heterogeneous patterns of metabolic covariance could be expected. Methods: We first characterized this heterogeneity with a data-driven approach by identifying the spatial pattern of hippocampus differentiation based on metabolic covariance with the rest of the brain in FDG-PET data of large healthy elderly cohort (n=362). Then, we characterized the metabolic networks of the robustly defined subregions. In the following, we characterized the disentangled hippocampal metabolic networks with regards to behavioral and neurotransmitter systems using quantitative decoding. Finally, we examined how the local metabolism in the hippocampal subregions is influenced by Alzheimer’s disease pathology in a cohort of ADNI participants (n = 580). Results: Based on hippocampal-brain metabolic covariance in a healthy elderly cohort, we found a differentiation into primarily anterior vs. posterior and secondarily Cornu Ammonis (CA) vs. subiculum subregions. Characterizing the associated metabolic networks revealed that the anterior-subiculum network including temporal-pole and orbitofrontal regions relates to self, motivation and mentalizing behavior and is influenced by dopaminergic systems. In contrast, the posterior-subiculum shows a wide cortical network engaged in action- and world-oriented cognition targeted by serotoninergic systems. The anterior- and posterior-CA, connected respectively to amygdala and broader subcortical networks, are associated to several transporters release. Local metabolism comparison between Alzheimer’s disease-related diagnosis groups revealed early CA’s alterations while posterior subicular alterations appear at advanced stages in line with broader cortical atrophy and behavioral dysfunctions.Conclusion: Future studies should delineate patients’ individual profiles according to hippocampal subregions and networks.
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