The many dimensions of human hippocampal organization and (dys)function

Genon, Sarah; Bernhardt, Boris C.; Joie, Renaud La; Amunts, Katrin; Eickhoff, Simon B.

doi:10.1016/j.tins.2021.10.003

Cited by 87 publications

(87 citation statements)

References 86 publications

(139 reference statements)

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“…In support of the notion that autocorrelation gradients are driven by intrinsic functional properties of the different brain regions, we found clear evidence of differentiable autocorrelations patterns in hippocampus and ERC, and that hippocampal autocorrelation gradients were meaningfully related to behavior such that increases in navigation difficulty were associated with increases in autocorrelation in the anterior-medial hippocampus. These results are consistent with recent findings from resting-state MRI (deWael et al, 2018) and a meta-analytic framework (Genon et al, 2021) that suggest that there are two primary connectivity gradients in the hippocampus (one along the anteriorposterior axis and one along the medial-lateral axis). Importantly, we critically extend this work by showing that these gradients are related to behavior.…”

Section: Introductionsupporting

confidence: 92%

Single voxel autocorrelation uncovers gradients of temporal dynamics in the hippocampus and entorhinal cortex during rest and navigation

Bouffard

Golestani

Brunec

et al. 2021

Preprint

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During navigation, information at multiple scales needs to be integrated. Single-unit recordings in rodents suggest that gradients of temporal dynamics in the hippocampus and entorhinal cortex support this integration. In humans, gradients of representation are observed, such that granularity of information represented increases along the long axis of the hippocampus. The neural underpinnings of this gradient in humans, however, are still unknown. Current research is limited by coarse fMRI analysis techniques that obscure the activity of individual voxels, preventing investigation of how moment-to-moment changes in brain signal are organized and how they are related to behavior. Here, we measured the signal stability of single voxels over time to uncover previously unappreciated gradients of temporal dynamics in the hippocampus and entorhinal cortex. Using our novel, single voxel autocorrelation technique, we show for the first time a medial-lateral hippocampal gradient, as well as a continuous autocorrelation gradient along the anterolateral-posteromedial entorhinal extent. Importantly, we show that anterior-posterior and medial-lateral hippocampal autocorrelation gradients were modulated by navigational difficulty, indicating that changes in signal stability are relevant for behavior. Our method and findings open the door for future research on how temporal gradients within these structures support the integration of information for goal-directed behavior.

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Section: Introductionsupporting

confidence: 92%

Single voxel autocorrelation uncovers gradients of temporal dynamics in the hippocampus and entorhinal cortex during rest and navigation

Bouffard

Golestani

Brunec

et al. 2021

Preprint

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“…We refer to this gradient as a representation-modulation gradient, separating ensembles involved in the representation of low-dimensional multimodal summaries of brain states or more precise sensorimotor signals (Fernandino et al, 2016) from those involved in modulating these representations (e.g., via attention regulation, goal maintenance, strategy selection, performance monitoring) (Corbetta & Shulman, 2002;Dosenbach et al, 2007;Miller & Cohen, 2001;Uddin, 2015). This gradient has also been described as a "multiple demand" gradient (Genon et al, 2021;Valk et al, 2021), as modulatory networks are often engaged in the face of task-based cognitive demands (Assem et al, 2020;Duncan, 2010;Fedorenko et al, 2013). Interpreted in terms of predictive processing, this gradient distinguishes regions that represent prediction and prediction error signals from regions that implement attentional modulation to compute the precision of these signals.…”

Section: Hierarchical Gradients In the Cerebral Cortex And Their Role...mentioning

confidence: 99%

Allostasis as a core feature of hierarchical gradients in the human brain

Katsumi

Theriault

Quigley

et al. 2022

Network Neuroscience

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This paper integrates emerging evidence from two broad scientific literatures into one common framework: (1) Hierarchical gradients of functional connectivity that reflect the brain’s large-scale structural architecture (e.g., a lamination gradient in the cerebral cortex) and (2) approaches to predictive processing and one of its specific instantiations called allostasis (i.e., the predictive regulation of energetic resources in the service of coordinating the body’s internal systems). This synthesis begins to sketch a coherent, neurobiologically-inspired framework suggesting that predictive energy regulation is at the core of human brain function, and by extension, psychological and behavioral phenomena, providing a shared vocabulary for theory building and knowledge accumulation.

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“…Recent efforts to understand how the human entorhinal-hippocampal circuitry accomplishes conjunction and segregation of information largely focused on the longitudinal hippocampal axis (Brunec et al, 2018(Brunec et al, , 2020Robin & Moscovitch, 2017). The transversal axis has been approached by studies in humans that did not directly relate connectivity findings to information processing and did not assess subfield-specific organization (Vos de Wael et al, 2018;Plachti et al, 2019;Masouleh et al, 2020;Paquola et al, 2020;Bouffard et al, 2021; for an overview see Genon et al, 2021). Dalton & Maguire (2017), however made a relevant proposal based on visual processing pathways and information processing.…”

Section: Relevance Of the Current Findings For The Functional Organization Of The Entorhinal-hippocampal Circuitrymentioning

confidence: 99%

Functional connectivity and information pathways in the human entorhinal-hippocampal circuitry

Grande

Sauvage

Becke

et al. 2021

Preprint

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Cortical processing streams for item and contextual information come together in the entorhinal-hippocampal circuitry. Various evidence suggest that information-specific pathways organize the cortical — entorhinal interaction and the circuitry's inner communication along the transversal axis. Here, we leveraged ultra-high field functional imaging and advance Maass, Berron et al. (2015) who report two functional routes segregating the entorhinal cortex (EC) and subiculum. Our data show specific scene processing in the functionally connected posterior-medial EC and distal subiculum. The regions of another route, that connects the anterior-lateral EC and a newly identified retrosplenial-based anterior-medial EC subregion with the CA1/subiculum border, process object and scene information similarly. Our results support topographical information flow in human entorhinal-hippocampal subregions with organized convergence of cortical processing streams and a unique route for contextual information. They characterize the functional organization of the circuitry and underpin its central role in memory function and pathological decline.

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The many dimensions of human hippocampal organization and (dys)function

Cited by 87 publications

References 86 publications

Single voxel autocorrelation uncovers gradients of temporal dynamics in the hippocampus and entorhinal cortex during rest and navigation

Single voxel autocorrelation uncovers gradients of temporal dynamics in the hippocampus and entorhinal cortex during rest and navigation

Allostasis as a core feature of hierarchical gradients in the human brain

Functional connectivity and information pathways in the human entorhinal-hippocampal circuitry

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