Bidirectional prefrontal-hippocampal interactions support context-guided memory

Place, Ryan; Farovik, Anja; Brockmann, Marco D.; Eichenbaum, Howard

doi:10.1038/nn.4327

Cited by 177 publications

(162 citation statements)

References 25 publications

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“…In particular, left anterior HPC showed greater functional connectivity during the early phase of learning with regions of mPFC, a finding predicted by SUSTAIN's neural framework (11). These results are also consistent with episodic memory findings that PFC biases encoding and retrieval of mnemonic information in HPC (9,27,28) and a recent proposal (29) that memories for individual experiences are updated through HPC-mPFC interactions to create generalized knowledge that supports complex behaviors like inference (8,30). We also found that early-learning HPC activation was coupled with regions implicated in a neural hierarchy of cognitive control along the rostral-caudal axis of lateral PFC (26,57,58).…”

Section: Discussionsupporting

confidence: 79%

“…Prefrontal cortex (PFC) is proposed to tune selective attention to features (24)(25)(26), as well as direct encoding and retrieval of HPC cluster representations (9,(27)(28)(29)(30). In particular, PFC monitors the similarity between the current stimulus information and existing conceptual knowledge and biases HPC functions in reorganizing clusters to reflect goal-relevant features.…”

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confidence: 99%

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Dynamic updating of hippocampal object representations reflects new conceptual knowledge

Mack

Love

Preston

2016

Proc. Natl. Acad. Sci. U.S.A.

206

248

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Concepts organize the relationship among individual stimuli or events by highlighting shared features. Often, new goals require updating conceptual knowledge to reflect relationships based on different goal-relevant features. Here, our aim is to determine how hippocampal (HPC) object representations are organized and updated to reflect changing conceptual knowledge. Participants learned two classification tasks in which successful learning required attention to different stimulus features, thus providing a means to index how representations of individual stimuli are reorganized according to changing task goals. We used a computational learning model to capture how people attended to goal-relevant features and organized object representations based on those features during learning. Using representational similarity analyses of functional magnetic resonance imaging data, we demonstrate that neural representations in left anterior HPC correspond with model predictions of concept organization. Moreover, we show that during early learning, when concept updating is most consequential, HPC is functionally coupled with prefrontal regions. Based on these findings, we propose that when task goals change, object representations in HPC can be organized in new ways, resulting in updated concepts that highlight the features most critical to the new goal.category learning | attention | computational modeling | hippocampus | fMRI C oncepts are organizing principles that define how items or events are similar to one another. Goals are critical to shaping concepts, by emphasizing some shared features over others. When goals change, previously experienced events may be organized in new ways, resulting in an updated concept that highlights the features most critical to the new goal. For instance, consider purchasing a home. One must learn which features make for the most desirable home. A young couple seeking a cosmopolitan lifestyle may organize potential houses based on trendy features like exposed brick walls, a wet bar, and room for vintage record collections. However, with the news of a baby on the way, the couple's goals are likely to shift. After pouring through parenting books and web forums to learn what makes for a child-friendly home, they may look at those previously seen potential homes in a different light. Instead, family-oriented features such as whether or not a home has a bathtub, is within walking distance to a park, and is in a well-respected school district may matter more resulting in a reorganization of which homes are a good buy. At the core of this example are the fundamental challenges we face in flexible goaldirected learning. When learning new concepts (e.g., child-friendly instead of a trendy house), attention changes focus to different information and items that were conceptually dissimilar (e.g., two houses with and without a wet bar) may become more similar (e.g., they both are close to a park) and vice versa (1). Understanding how conceptual knowledge is created and updated during learning is a cen...

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Section: Discussionsupporting

confidence: 79%

mentioning

confidence: 99%

Dynamic updating of hippocampal object representations reflects new conceptual knowledge

Mack

Love

Preston

2016

Proc. Natl. Acad. Sci. U.S.A.

206

248

View full text Add to dashboard Cite

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“…Reinstatement of behaviorally relevant memories within hippocampus during spatial learning may be particularly dependent on top-down influence from mPFC [10]. When rodents make decisions that depend on spatial context, mPFC drives hippocampal responses [9], suggesting that mPFC coordinates reinstatement of hippocampal memory representations that are most relevant to ongoing experience [27]. Increased hippocampal—mPFC coupling is also observed during spatial memory retrieval in humans [28, 29], and such coupling has been further shown to support individuals’ ability to connect past and present experience [17, 18, 30].…”

Section: Integration Of Spatial Experiencementioning

confidence: 99%

“…Memory integration is thought to be supported by bidirectional interactions between hippocampus and medial prefrontal cortex (mPFC) [9, 10]. Reactivation of related memories during new events is mediated by hippocampal pattern completion processes that allow for reinstatement of entire memory traces from overlapping input [11, 12].…”

Section: Introductionmentioning

confidence: 99%

“…Reactivation of related memories during new events is mediated by hippocampal pattern completion processes that allow for reinstatement of entire memory traces from overlapping input [11, 12]. Medial PFC, which is thought to represent mental models that guide behavior [13, 14], may further bias hippocampal pattern completion to the most relevant prior knowledge [9]. Hippocampus then signals deviations between current events and reactivated memories, triggering memory updating [1, 15, 16].…”

Section: Introductionmentioning

confidence: 99%

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Memory integration constructs maps of space, time, and concepts

Morton

Sherrill

Preston³

2017

Current Opinion in Behavioral Sciences

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Recent evidence demonstrates that new events are learned in the context of their relationships to existing memories. Within the hippocampus and medial prefrontal cortex, related memories are represented by integrated codes that connect events experienced at different times and places. Integrated codes form the basis of spatial, temporal, and conceptual maps of experience. These maps represent information that goes beyond direct experience and support generalization behaviors that require knowledge be used in new ways. The degree to which an individual memory is integrated into a coherent map is determined by its spatial, temporal, and conceptual proximity to existing knowledge. Integration is observed over a wide range of scales, suggesting that memories contain information about both broad and fine-grained contexts.

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Effective connectivity during autobiographical memory search

Nawa

Ando

2020

Brain and Behavior

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Introduction We used dynamic causal modeling (DCM) to examine effective connectivity during cued autobiographical memory (AM) search in a left‐hemispheric network consisting of six major regions within the large network of brain regions recruited during memory retrieval processes. Methods Functional MRI data were acquired while participants were shown verbal cues describing common life events and requested to search for a personal memory associated with the cue. We examined directed couplings between the ventromedial (vmPFC), dorsomedial (dmPFC), and dorsolateral prefrontal cortices (dlPFC), hippocampus, angular gyrus, and the posterior midline cortex (RSC/PCC/Prec). Results During AM search, the vmPFC, dlPFC, and RSC/PCC/Prec acted as primary drivers of activity in the rest of the network. Moreover, when AM search completed successfully (Hits), the effective connectivity of the hippocampus on the vmPFC and angular gyrus was up‐modulated. Likewise, there was an increase in the influence of the RSC/PCC/Prec in the activity of the dlPFC and dmPFC. Further analysis indicated that the modulation observed during Hits is primarily a distributed phenomenon that relies on the interplay between different brain regions. Conclusion These results suggest that prefrontal and posterior midline cortical regions together with the dlPFC largely coordinate the processes underlying AM search, setting up the conditions on which the angular gyrus and the hippocampus may act upon when the outcome of the search is successful.

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Bidirectional prefrontal-hippocampal interactions support context-guided memory

Cited by 177 publications

References 25 publications

Dynamic updating of hippocampal object representations reflects new conceptual knowledge

Dynamic updating of hippocampal object representations reflects new conceptual knowledge

Memory integration constructs maps of space, time, and concepts

Effective connectivity during autobiographical memory search

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