Retrieval orientation alters neural activity during autobiographical memory recollection

Gurguryan, Lauri

doi:10.1016/j.neuroimage.2019.05.077

Cited by 31 publications

(20 citation statements)

References 68 publications

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“…It is possible that the MTN represents content of events and feeds that content to the DMN that represents the abstracted event structure. Indeed, recent evidence has shown that regions in the MTN are more active during recall focused on perceptual features [ 39 ] and during encoding of events in the absence of a strong semantic framework [ 40 ], whereas regions in the DMN are more active during recall focused on conceptual or thematic elements [ 39 ] and during encoding of events that can be interpreted in the context of prior knowledge [ 40 ]. Further, multivariate patterns in DMN regions can classify broad event types like restaurant versus airport events, suggesting that they have represent abstract event structure [ 91 ].…”

Section: Discussionmentioning

confidence: 99%

“…This "PM/AT framework" has provided a valuable framework for interpreting memory phenomena in imaging [9,[30][31][32], stimulation [33,34], and disease [35][36][37]. However, recent work has come to question the homogeneity of the PM network [38], with several studies highlighting a dissociation between parahippocampal cortex, retrosplenial cortex, and precuneal cortex from posterior cingulate cortex (PCC) [39,40] under conditions that seem to tax perceptual, relative to abstract event processing, or scene relative to face processing.…”

Section: Iau : Theheadingintroductionhasbeeninserted:pleasecheckandcorrectifnecessary: Ntroductionmentioning

confidence: 99%

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Intrinsic connectivity reveals functionally distinct cortico-hippocampal networks in the human brain

et al. 2021

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Episodic memory depends on interactions between the hippocampus and interconnected neocortical regions. Here, using data-driven analyses of resting-state functional magnetic resonance imaging (fMRI) data, we identified the networks that interact with the hippocampus—the default mode network (DMN) and a “medial temporal network” (MTN) that included regions in the medial temporal lobe (MTL) and precuneus. We observed that the MTN plays a critical role in connecting the visual network to the DMN and hippocampus. The DMN could be further divided into 3 subnetworks: a “posterior medial” (PM) subnetwork comprised of posterior cingulate and lateral parietal cortices; an “anterior temporal” (AT) subnetwork comprised of regions in the temporopolar and dorsomedial prefrontal cortex; and a “medial prefrontal” (MP) subnetwork comprised of regions primarily in the medial prefrontal cortex (mPFC). These networks vary in their functional connectivity (FC) along the hippocampal long axis and represent different kinds of information during memory-guided decision-making. Finally, a Neurosynth meta-analysis of fMRI studies suggests new hypotheses regarding the functions of the MTN and DMN subnetworks, providing a framework to guide future research on the neural architecture of episodic memory.

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Section: Discussionmentioning

confidence: 99%

Section: Iau : Theheadingintroductionhasbeeninserted:pleasecheckandcorrectifnecessary: Ntroductionmentioning

confidence: 99%

Intrinsic connectivity reveals functionally distinct cortico-hippocampal networks in the human brain

et al. 2021

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“…We observed that removal of the MTN lead to greater path length between the hippocampus and visual network compared to removal of any other networks (all t(39) > 6, p < .001; Figure 2B). Again, MTN removal led to disproportionately higher path length than removal of random nodes (t (39) = 3.15, p = .003). This effect was specifically between the hippocampus and visual network path length, rather than leading to disproportionately higher path length between the hippocampus and any other network, S2 Figure. Partitioning the DMN…”

Section: Network Analysis Support An Interfacing Role Of the Mtnmentioning

confidence: 96%

“…This "PM/AT framework" has provided a valuable framework for interpreting memory phenomena in imaging (9,(30)(31)(32), stimulation (33,34), and disease (35)(36)(37). However, recent work has come to question the homogeneity of the PM network (38), with several studies highlighting a dissociation between PHC, retrosplenial and precuneal cortex from posterior cingulate cortex (PCC) (39,40) under conditions that seem to tax perceptual relative to abstract event processing, or scene relative to face processing.…”

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confidence: 99%

Organization of cortico-hippocampal networks in the human brain

Barnett

Reilly

Dimsdale-Zucker

et al. 2020

Preprint

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Episodic memory is thought to depend on interactions between the hippocampus and a set of closely interconnected regions that comprise the default mode network (DMN)-a large-scale network that has been identified with resting-state fMRI. Here, using data-driven analyses of resting-state fMRI data to characterize cortico-hippocampal network connectivity, we identified a discrete set of subnetworks that interact with the hippocampus. Specifically, we found that the hippocampus closely affiliated with the DMN and with a "Medial Temporal Network" (MTN) that included regions in the medial temporal lobe and retrosplenial cortex. The DMN could be further subdivided into three subnetworks: a "Posterior Medial" Subnetwork comprised of regions in the posterior cingulate, lateral parietal, and dorsal prefrontal cortex, an "Anterior Temporal" Subnetwork comprised of regions in the temporopolar, lateral orbitofrontal, and dorsal medial prefrontal cortex, and a "Medial Prefrontal" Subnetwork comprised of regions in the ventral medial prefrontal, and entorhinal cortex. These cortico-hippocampal networks vary in their functional connectivity along the hippocampal long-axis, and analyses of an independent task-fMRI dataset revealed that the three DMN subnetworks represent different kinds of information during memory-guided decision-making. Finally, a data-driven meta-analysis of functional imaging studies of cognition suggests new hypotheses regarding the functions of the MTN and DMN subnetworks, thus providing a framework to guide future research on the neural architecture of episodic memory. Significance StatementNetwork neuroscience has identified large-scale networks across the human brain, but this literature focuses almost exclusively on cortical regions, with sparse characterization of subcortical regions like the hippocampus. The hippocampus is critical for encoding and retrieving episodic memories, but it is currently unclear how the hippocampus interacts with distributed networks in the brain. Here, we used network neuroscience techniques to identify and characterize cortico-hippocampal networks. We find that these cortico-hippocampal networks can be differentiated on the basis of functional connectivity along the hippocampal long-axis, information represented in an independent task-fMRI dataset, and in a meta-analysis of task fMRI studies. Our work demonstrates that the functional organization of memory processes may be determined by the network topology of the human brain.Episodic memory allows us to relive past events that happened at a particular place and time (1). Most research investigating the neurobiology of episodic memory retrieval has focused on the hippocampus and medial temporal lobe (MTL) cortex (perirhinal, parahippocampal, and entorhinal cortex) highlighting the interactions among these regions (2-4). It is generally assumed, however, that the hippocampus supports memory by integrating information represented across distributed areas in the neocortex (5). Consistent with this idea, fMRI studies of memor...

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“…We suggest that the mind’s mind relies on a second default-network subsystem, including a dorsal midline part of the prefrontal cortex called the dorsal medial prefrontal cortex, a region at the junction of the temporal and parietal lobe called the temporoparietal junction, and anterior parts of the temporal lobe (including the temporal pole), among other medial and lateral frontal and parietal regions. Although traditionally discussed for their role in theory of mind—the process by which we can understand the thoughts and feelings of others—additional evidence indicates that these regions may also allow us to reflect on our own thoughts and emotions, retrieve abstract conceptual knowledge, comprehend narratives, and approach our episodic memories from a broader, more thematic perspective (e.g., meaning making; Andrews-Hanna et al, 2014; Gurguryan & Sheldon, 2019). The precise neural overlap among the processes of the mind’s mind marks an important area of future research.…”

Section: Mapping the Cognitive And Neural Landscape Of The Imaginativmentioning

confidence: 99%

Mapping the Imaginative Mind: Charting New Paths Forward

Andrews‐Hanna

Grilli

2021

Curr Dir Psychol Sci

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The fields of psychology and neuroscience are in the midst of an explosion of research aimed at illuminating the human imagination—the ability to form thoughts and mental images that stretch beyond what is currently available to the senses. Imaginative thought is proving to be remarkably diverse, capturing the capacity to recall past experiences, consider what lies ahead, and understand other people’s minds, in addition to other forms of creative and spontaneous thinking. In the first part of this article, we introduce an integrative framework that attempts to explain how components of a core brain network facilitate interacting features of imagination that we refer to as the mind’s eye and mind’s mind. We then highlight three emerging research directions that could inform our understanding of how imagination arises and unfolds in everyday life.

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Retrieval orientation alters neural activity during autobiographical memory recollection

Cited by 31 publications

References 68 publications

Intrinsic connectivity reveals functionally distinct cortico-hippocampal networks in the human brain

Intrinsic connectivity reveals functionally distinct cortico-hippocampal networks in the human brain

Organization of cortico-hippocampal networks in the human brain

Mapping the Imaginative Mind: Charting New Paths Forward

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