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The well‐worn route revisited: Striatal and hippocampal system contributions to familiar route navigation

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The well‐worn route revisited: Striatal and hippocampal system contributions to familiar route navigation. / Buckley, Matthew; McGregor, Anthony; Ihssen, Niklas et al.
In: Hippocampus, 09.05.2024.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Buckley, M, McGregor, A, Ihssen, N, Austen, J, Thurlbeck, S, Smith, SP, Heinecke, A & Lew, AR 2024, 'The well‐worn route revisited: Striatal and hippocampal system contributions to familiar route navigation', Hippocampus. https://doi.org/10.1002/hipo.23607

APA

Buckley, M., McGregor, A., Ihssen, N., Austen, J., Thurlbeck, S., Smith, S. P., Heinecke, A., & Lew, A. R. (2024). The well‐worn route revisited: Striatal and hippocampal system contributions to familiar route navigation. Hippocampus. Advance online publication. https://doi.org/10.1002/hipo.23607

Vancouver

Buckley M, McGregor A, Ihssen N, Austen J, Thurlbeck S, Smith SP et al. The well‐worn route revisited: Striatal and hippocampal system contributions to familiar route navigation. Hippocampus. 2024 May 9. Epub 2024 May 9. doi: 10.1002/hipo.23607

Author

Buckley, Matthew ; McGregor, Anthony ; Ihssen, Niklas et al. / The well‐worn route revisited : Striatal and hippocampal system contributions to familiar route navigation. In: Hippocampus. 2024.

Bibtex

@article{dab068b310e34862a6b09d1082ed4e80,
title = "The well‐worn route revisited: Striatal and hippocampal system contributions to familiar route navigation",
abstract = "Classic research has shown a division in the neuroanatomical structures that support flexible (e.g., short‐cutting) and habitual (e.g., familiar route following) navigational behavior, with hippocampal–caudate systems associated with the former and putamen systems with the latter. There is, however, disagreement about whether the neural structures involved in navigation process particular forms of spatial information, such as associations between constellations of cues forming a cognitive map, versus single landmark‐action associations, or alternatively, perform particular reinforcement learning algorithms that allow the use of different spatial strategies, so‐called model‐based (flexible) or model‐free (habitual) forms of learning. We sought to test these theories by asking participants (N = 24) to navigate within a virtual environment through a previously learned, 9‐junction route with distinctive landmarks at each junction while undergoing functional magnetic resonance imaging (fMRI). In a series of probe trials, we distinguished knowledge of individual landmark‐action associations along the route versus knowledge of the correct sequence of landmark‐action associations, either by having absent landmarks, or “out‐of‐sequence” landmarks. Under a map‐based perspective, sequence knowledge would not require hippocampal systems, because there are no constellations of cues available for cognitive map formation. Within a learning‐based model, however, responding based on knowledge of sequence would require hippocampal systems because prior context has to be utilized. We found that hippocampal–caudate systems were more active in probes requiring sequence knowledge, supporting the learning‐based model. However, we also found greater putamen activation in probes where navigation based purely on sequence memory could be planned, supporting models of putamen function that emphasize its role in action sequencing.",
keywords = "hippocampus, putamen, sequential‐egocentric navigation, model‐free learning, cognitive map, model‐based learning, caudate",
author = "Matthew Buckley and Anthony McGregor and Niklas Ihssen and Joseph Austen and Simon Thurlbeck and Smith, {Shamus P.} and Armin Heinecke and Lew, {Adina R.}",
year = "2024",
month = may,
day = "9",
doi = "10.1002/hipo.23607",
language = "English",
journal = "Hippocampus",
issn = "1050-9631",
publisher = "Wiley-Liss Inc.",

}

RIS

TY - JOUR

T1 - The well‐worn route revisited

T2 - Striatal and hippocampal system contributions to familiar route navigation

AU - Buckley, Matthew

AU - McGregor, Anthony

AU - Ihssen, Niklas

AU - Austen, Joseph

AU - Thurlbeck, Simon

AU - Smith, Shamus P.

AU - Heinecke, Armin

AU - Lew, Adina R.

PY - 2024/5/9

Y1 - 2024/5/9

N2 - Classic research has shown a division in the neuroanatomical structures that support flexible (e.g., short‐cutting) and habitual (e.g., familiar route following) navigational behavior, with hippocampal–caudate systems associated with the former and putamen systems with the latter. There is, however, disagreement about whether the neural structures involved in navigation process particular forms of spatial information, such as associations between constellations of cues forming a cognitive map, versus single landmark‐action associations, or alternatively, perform particular reinforcement learning algorithms that allow the use of different spatial strategies, so‐called model‐based (flexible) or model‐free (habitual) forms of learning. We sought to test these theories by asking participants (N = 24) to navigate within a virtual environment through a previously learned, 9‐junction route with distinctive landmarks at each junction while undergoing functional magnetic resonance imaging (fMRI). In a series of probe trials, we distinguished knowledge of individual landmark‐action associations along the route versus knowledge of the correct sequence of landmark‐action associations, either by having absent landmarks, or “out‐of‐sequence” landmarks. Under a map‐based perspective, sequence knowledge would not require hippocampal systems, because there are no constellations of cues available for cognitive map formation. Within a learning‐based model, however, responding based on knowledge of sequence would require hippocampal systems because prior context has to be utilized. We found that hippocampal–caudate systems were more active in probes requiring sequence knowledge, supporting the learning‐based model. However, we also found greater putamen activation in probes where navigation based purely on sequence memory could be planned, supporting models of putamen function that emphasize its role in action sequencing.

AB - Classic research has shown a division in the neuroanatomical structures that support flexible (e.g., short‐cutting) and habitual (e.g., familiar route following) navigational behavior, with hippocampal–caudate systems associated with the former and putamen systems with the latter. There is, however, disagreement about whether the neural structures involved in navigation process particular forms of spatial information, such as associations between constellations of cues forming a cognitive map, versus single landmark‐action associations, or alternatively, perform particular reinforcement learning algorithms that allow the use of different spatial strategies, so‐called model‐based (flexible) or model‐free (habitual) forms of learning. We sought to test these theories by asking participants (N = 24) to navigate within a virtual environment through a previously learned, 9‐junction route with distinctive landmarks at each junction while undergoing functional magnetic resonance imaging (fMRI). In a series of probe trials, we distinguished knowledge of individual landmark‐action associations along the route versus knowledge of the correct sequence of landmark‐action associations, either by having absent landmarks, or “out‐of‐sequence” landmarks. Under a map‐based perspective, sequence knowledge would not require hippocampal systems, because there are no constellations of cues available for cognitive map formation. Within a learning‐based model, however, responding based on knowledge of sequence would require hippocampal systems because prior context has to be utilized. We found that hippocampal–caudate systems were more active in probes requiring sequence knowledge, supporting the learning‐based model. However, we also found greater putamen activation in probes where navigation based purely on sequence memory could be planned, supporting models of putamen function that emphasize its role in action sequencing.

KW - hippocampus

KW - putamen

KW - sequential‐egocentric navigation

KW - model‐free learning

KW - cognitive map

KW - model‐based learning

KW - caudate

U2 - 10.1002/hipo.23607

DO - 10.1002/hipo.23607

M3 - Journal article

JO - Hippocampus

JF - Hippocampus

SN - 1050-9631

ER -