Hippocampus and retrosplenial cortex combine path integration signals for successful navigation
Open accessAbstract
The current study used fMRI in humans to examine goal-directed navigation in an open field environment. We designed a task that required participants to encode survey-level spatial information and subsequently navigate to a goal location in either first person, third person, or survey perspectives. Critically, no distinguishing landmarks or goal location markers were present in the environment, thereby requiring participants to rely on path integration mechanisms for successful navigation. We focused our analysis on mechanisms related to navigation and mechanisms tracking linear distance to the goal location. Successful navigation required translation of encoded survey-level map information for orientation and implementation of a planned route to the goal. Our results demonstrate that successful first and third person navigation trials recruited the anterior hippocampus more than trials when the goal location was not successfully reached. When examining only successful trials, the retrosplenial and posterior parietal cortices were recruited for goal-directed navigation in both first person and third person perspectives. Unique to first person perspective navigation, the hippocampus was recruited to path integrate self-motion cues with location computations toward the goal location. Last, our results demonstrate that the hippocampus supports goal-directed navigation by actively tracking proximity to the goal throughout navigation. When using path integration mechanisms in first person and third person perspective navigation, the posterior hippocampus was more strongly recruited as participants approach the goal. These findings provide critical insight into the neural mechanisms by which we are able to use map-level representations of our environment to reach our navigational goals.
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In recently learned environments, the hippocampus has been shown to encode the distance to the goal.
“In recently learned environments, the hippocampus has been shown to encode the distance to the goal (Spiers and Maguire 2007b; Viard et al. 2011; Sherrill et al. 2013; Howard et al. 2014; Chrastil et al. 2015; Balaguer et al. 2016; Spiers et al. 2017)”
From Hippocampal and Retrosplenial Goal Distance Coding After Long-term Consolidation of a Real-World Environment (2019) · cites this paper as Sherrill et al. 2013
The correlation of hippocampal activity to distance to goal during travel periods in recently learned environment agrees with prior fMRI reports of similar coding and supports models which argue the hippocampus computes information about the future path to goal for navigational guidance.
“The correlation of hippocampal activity to distance to goal during travel periods in navigation routes in the recently learned environment agrees with prior fMRI reports of similar coding (Viard et al. 2011; Sherrill et al. 2013; Howard et al. 2014; Balaguer et al. 2016) and supports models which argue the hippocampus computes information about the future path to goal for navigational guidance (Er”
From Hippocampal and Retrosplenial Goal Distance Coding After Long-term Consolidation of a Real-World Environment (2019) · cites this paper as Sherrill et al. 2013
Prior fMRI studies using recently encountered environments containing less perceptual detail found that hippocampal activity increased with proximity to the goal.
“Consistent with this argument, prior fMRI studies using recently encountered environments containing less perceptual detail found that the hippocampal activity increased with proximity to the goal (Viard et al. 2011; Sherrill et al. 2013).”
From Hippocampal and Retrosplenial Goal Distance Coding After Long-term Consolidation of a Real-World Environment (2019) · cites this paper as Sherrill et al. 2013
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References 48 · Cited by 167
- Authors
- Sherrill, K. R., Erdem, U. M., Ross, R. S., Brown, T. I., Hasselmo, M. E., & Stern, C. E.
- Affiliations
- Boston University (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2013-12-04
- Volume
- 33
- Issue
- 49
- Pages
- 19304-19313
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3850045
- OpenAlex
- W2094842904
- Cited by
- 167
- References
- 48
- Citations by year
- 2026: 9 · 2025: 13 · 2024: 10 · 2023: 8 · 2022: 13 · 2021: 15 · 2020: 9 · 2019: 23 · 2018: 18 · 2017: 9 · 2016: 18 · 2015: 12 · 2014: 10
- FWCI
- 20.69
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- University of New Hampshire Scholars Repository (University of New Hampshire at Manchester) (submittedVersion)
- Funders
- Centre d'Imagerie BioMédicale
- U.S. Public Health Service (NCRR P41-RR14075)
- Multidisciplinary University Research Initiative (N00014-10-1-0936)
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital (NCRR P41RR14075)
- Office of Naval Research (N00014‐10‐1‐0936, N00014)
- National Center for Research Resources (NCRR P41-RR14075, P41RR014075)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Neurology › Vestibular and auditory disorders
- Keywords
- goal-directed navigation, path integration, hippocampus, retrosplenial cortex, posterior parietal cortex, self-motion cues, first-person perspective, third-person perspective, map-based navigation
- MeSH terms
- Cerebral Cortex, Cues, Female, Hippocampus, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Motion Perception, Neural Pathways, Orientation, Psychomotor Performance, Self Concept, User-Computer Interface, Signal Detection, Psychological, Video Games, Young Adult
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