2023
DOI: 10.1016/j.neuroimage.2023.119996
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Functional re-organization of hippocampal-cortical gradients during naturalistic memory processes

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Cited by 15 publications
(19 citation statements)
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References 68 publications
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“…Complementing these task-free investigations, the current study derived topographic gradients during episodic and semantic memory states separately, yet it still found that they largely followed similar intrinsic organizational axes 10, 23, 25 . Specifically, connectivity patterns during both memory states followed topographic gradients including a sensory-transmodal neocortical and posterior-anterior hippocampal pattern, which are in line with previous observations 63, 68, 69, 7274 . Transmodal core regions ( i.e., DMN) occupy a cortical territory that is maximally distant and separate from unimodal sensory systems, balancing segregated processing streams and integration 64, 66,63, 64, 99 .…”
Section: Discussionsupporting
confidence: 90%
“…Complementing these task-free investigations, the current study derived topographic gradients during episodic and semantic memory states separately, yet it still found that they largely followed similar intrinsic organizational axes 10, 23, 25 . Specifically, connectivity patterns during both memory states followed topographic gradients including a sensory-transmodal neocortical and posterior-anterior hippocampal pattern, which are in line with previous observations 63, 68, 69, 7274 . Transmodal core regions ( i.e., DMN) occupy a cortical territory that is maximally distant and separate from unimodal sensory systems, balancing segregated processing streams and integration 64, 66,63, 64, 99 .…”
Section: Discussionsupporting
confidence: 90%
“…For example, maps of hippocampal cyto-or myeloarchitectonic features can be constructed from multiple samples using different stains or imaging methods that would otherwise preclude one another due to tissue destruction (e.g., once stained, a slice cannot be easily imaged with other stains). This can be useful both in studying hippocampal subfields and in subfield-agnostic mapping and other data driven methods (e.g., Borne et al, 2023;Paquola et al, 2020;Patel et al, 2020;Przeździk et al, 2019;Vogel et al, 2020;Vos de Wael et al, 2018). We hope that this work will provide an avenue towards mapping of hippocampal data across many modalities, scales, and different fields in future work.…”
Section: Discussionmentioning
confidence: 96%
“…This can be useful both in studying hippocampal subfields and in subfield-agnostic mapping and other data driven methods ( e . g ., Borne et al, 2023; Paquola et al, 2020; Patel et al, 2020; Przeździk et al, 2019; Vogel et al, 2020; Vos de Wael et al, 2018). We hope that this work will provide an avenue towards mapping of hippocampal data across many modalities, scales, and different fields in future work.…”
Section: Discussionmentioning
confidence: 99%
“…The topological distribution of amyloid PET binding has been shown to overlap with the “default mode” resting state network 69 . Evidence is emerging from analyses of functional gradients within the hippocampus and the cortical mantle that the default mode network may show the strongest hippocampal connectivity at the transition between the head and body 70 . This has relevant implications for the understanding of clinical manifestations and progression of AD.…”
Section: Discussionmentioning
confidence: 99%