Recollection-Related Increases in Functional Connectivity Predict Individual Differences in Memory Accuracy

King, Danielle R.; Chastelaine, Marianne de; Elward, Rachael L.; Wang, T. H.; Rugg, Michael D.

doi:10.1523/jneurosci.3219-14.2015

Cited by 136 publications

(162 citation statements)

References 45 publications

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“…This finding supports a recent study (King et al, 2015) that found across three experiments that the magnitude of recollection-related increases in connectivity predicted recollection accuracy. Task-related functional connectivity studies have shown that during episodic encoding higher performing older adults have greater functional connectivity between hippocampal activity and activity in the dorsolateral prefrontal and parietal cortex (Grady et al, 2003).…”

Section: Discussionsupporting

confidence: 91%

Fornix Microstructure and Memory Performance Is Associated with Altered Neural Connectivity during Episodic Recognition

Adluru

Destiche

et al. 2016

J Int Neuropsychol Soc

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Objective The purpose of this study was to assess whether age-related differences in white matter microstructure are associated with altered task-related connectivity during episodic recognition. Method Using functional magnetic resonance imaging and diffusion tensor imaging from 282 cognitively healthy middle-to-late aged adults enrolled in the Wisconsin Registry for Alzheimer's Prevention, we investigated whether fractional anisotropy (FA) within white matter regions known to decline with age was associated with task-related connectivity within the recognition network. Results There was a positive relationship between fornix FA and memory performance, both of which negatively correlated with age. Psychophysiological interaction analyses revealed that higher fornix FA was associated with increased task-related connectivity amongst the hippocampus, caudate, precuneus, middle occipital gyrus, and middle frontal gyrus. In addition, better task performance was associated with increased task-related connectivity between the posterior cingulate gyrus, middle frontal gyrus, cuneus, and hippocampus. Conclusions The findings indicate that age has a negative effect on white matter microstructure, which in turn has a negative impact on memory performance. However, fornix microstructure did not significantly mediate the effect of age on performance. Interestingly, dynamic functional connectivity was associated with better memory performance. The results of the psychophysiological interaction analysis further revealed that alterations in fornix microstructure explain–at least in part–connectivity among cortical regions in the recognition memory network. Our results may further elucidate the relationship between structural connectivity, neural function, and cognition.

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Section: Discussionsupporting

confidence: 91%

Fornix Microstructure and Memory Performance Is Associated with Altered Neural Connectivity during Episodic Recognition

Adluru

Destiche

et al. 2016

J Int Neuropsychol Soc

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“…Alternate accounts of the present findings might suggest that enhanced HPC connectivity with prefrontal regions during learning reflects other operations such as inhibition (Aron et al, 2014) or retrieval (Schedlbauer et al, 2014; King et al, 2015) of the related A item (without integration). With regards to an interpretation based on inhibition, it is worth noting that such functions have typically been ascribed to right lateral PFC; as such, it is unclear whether MPFC would be expected to perform a similar operation.…”

Section: Discussionmentioning

confidence: 77%

Hippocampal–medial prefrontal circuit supports memory updating during learning and post-encoding rest

Schlichting

Preston

2016

Neurobiology of Learning and Memory

123

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Learning occurs in the context of existing memories. Encountering new information that relates to prior knowledge may trigger integration, whereby established memories are updated to incorporate new content. Here, we provide a critical test of recent theories suggesting hippocampal (HPC) and medial prefrontal (MPFC) involvement in integration, both during and immediately following encoding. Human participants with established memories for a set of initial (AB) associations underwent fMRI scanning during passive rest and encoding of new related (BC) and unrelated (XY) pairs. We show that HPC-MPFC functional coupling during learning was more predictive of trial-by-trial memory for associations related to prior knowledge relative to unrelated associations. Moreover, the degree to which HPC-MPFC functional coupling was enhanced following overlapping encoding was related to memory integration behavior across participants. We observed a dissociation between anterior and posterior MPFC, with integration signatures during post-encoding rest specifically in the posterior subregion. These results highlight the persistence of integration signatures into post-encoding periods, indicating continued processing of interrelated memories during rest. We also interrogated the coherence of white matter tracts to assess the hypothesis that integration behavior would be related to the integrity of the underlying anatomical pathways. Consistent with our predictions, more coherent HPC-MPFC white matter structure was associated with better performance across participants. This HPC-MPFC circuit also interacted with content-sensitive visual cortex during learning and rest, consistent with reinstatement of prior knowledge to enable updating. These results show that the HPC-MPFC circuit supports on- and offline integration of new content into memory.

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“…These regions, along with the parahippocampal cortex, are structurally interconnected via the cingulum bundle (Mufson and Pandya, 1984; Kravitz et al, 2011) and show highly correlated activity fluctuations during the resting state (Kahn et al, 2008; Vincent et al, 2006; Buckner et al, 2008; Greicius et al, 2009; Uddin et al, 2010; Libby et al, 2012; Ritchey et al, 2014). In addition to being co-activated during episodic retrieval tasks, functional connectivity between regions in the core recollection network is increased during successful recollection (King et al, 2015). Beyond recognition tasks, regions in the core recollection network are also reliably co-activated during tasks that require autobiographical memory retrieval (see Svoboda et al, 2006), prospective thinking (e.g., Addis et al, 2007; Schacter et al, 2007), imagination/scene construction (Hassabis and Maguire, 2007, 2009), or spatial navigation in virtual environments (Burgess et al, 2001; Hartley et al, 2003; Spreng et al, 2009).…”

Section: Discussionmentioning

confidence: 99%

“…Interestingly, this network of cortical areas is consistently co-active with the hippocampus during recollection-based episodic retrieval that entails conscious reinstatement of contextual details of a past event (Spaniol et al, 2009; Kim, 2010; Rugg and Vilberg, 2013). Co-activation of these areas during episodic retrieval might indicate that these cortical areas work in concert to support the recovery of the temporal and spatial context of a past event (King et al, 2015; Schedlbauer et al, 2014). Put another way, neocortical recollection network regions might structure temporal as well as spatial processing in episodic memory.…”

Section: Introductionmentioning

confidence: 99%

Cortical and subcortical contributions to sequence retrieval: Schematic coding of temporal context in the neocortical recollection network

Hsieh

Ranganath

2015

NeuroImage

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Episodic memory entails the ability to remember what happened when. Although the available evidence indicates that the hippocampus plays a role in structuring serial order information during retrieval of event sequences, information processed in the hippocampus must be conveyed to other cortical and subcortical areas in order to guide behavior. However, the extent to which other brain regions contribute to the temporal organization of episodic memory remains unclear. Here, we examined multivoxel activity pattern changes during retrieval of learned and random object sequences, focusing on a neocortical “core recollection network” that includes the medial prefrontal cortex, retrosplenial cortex, and angular gyrus, as well as on striatal areas including the caudate nucleus and putamen that have been implicated in processing of sequence information. The results demonstrate that regions of the core recollection network carry information about temporal positions within object sequences, irrespective of object information. This schematic coding of temporal information is in contrast to the putamen, which carried information specific to objects in learned sequences, and the caudate, which carried information about objects, irrespective of sequence context. Our results suggest a role for the cortical recollection network in the representation of temporal structure of events during episodic retrieval, and highlight the possible mechanisms by which the striatal areas may contribute to this process. More broadly, the results indicate that temporal sequence retrieval is a useful paradigm for dissecting the contributions of specific brain regions to episodic memory.

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Recollection-Related Increases in Functional Connectivity Predict Individual Differences in Memory Accuracy

Cited by 136 publications

References 45 publications

Fornix Microstructure and Memory Performance Is Associated with Altered Neural Connectivity during Episodic Recognition

Fornix Microstructure and Memory Performance Is Associated with Altered Neural Connectivity during Episodic Recognition

Hippocampal–medial prefrontal circuit supports memory updating during learning and post-encoding rest

Cortical and subcortical contributions to sequence retrieval: Schematic coding of temporal context in the neocortical recollection network

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