Hippocampus: Connecting to the long axis

New study reveals how various regions of the human cortex connect to the hippocampus along its longer anterior-posterior axis, shedding light on the way this structure is functionally organized.
  1. Bryan A Strange  Is a corresponding author
  1. Laboratory for Clinical Neuroscience, Center for Biomedical Technology, University Politécnica de Madrid, Spain
  2. Reina Sofia Centre for Alzheimer's Research, Spain

Few questions in neuroscience generate as much debate and interest as: “what does the hippocampus do?”. This small, cylinder-like structure is embedded in each brain hemisphere, where it participates in spatial navigation, episodic memory, emotional responses and other cognitive functions. Much of what is known about the hippocampus has come from studying the organization of a complex neural circuit along its short, transverse axis (Marr, 1971). However, a promising avenue to understand how the hippocampus can accommodate its multiple functions is to study its long axis, which extends from its head (anterior) to its tail (posterior).

Reports showing the rodent equivalent of the hippocampal head and tail carrying out distinct roles can be traced back over 50 years (Nadel, 1968). Furthermore, differences in neural activity have been observed across the anterior-posterior axis of the human brain at rest and during task-based activities (Vogel et al., 2020; Strange et al., 1999). Recent studies have shown that distinct regions along the long axis of the hippocampus may control specific cognitive behaviours (Strange et al., 2014). Yet, little is known about how this functional organisation is tied to anatomical connections in the human brain – that is, how areas along the anterior-posterior axis connect to the distant cortical regions associated with the relevant cognitive process. Now, in eLife, Marshall Dalton and colleagues from the University of Sydney report new findings that help to answer this question (Dalton et al., 2022).

The team used a quantitative analysis protocol to analyse images of the human brain captured using diffusion-weighted magnetic resonance imaging (Smith et al., 2015). This non-invasive technique provided a biologically meaningful estimate of the number of nerve fibres, or connectivity, between the hippocampus and various areas in the cortex. Dalton et al. also refined the approach to see where fibres from these distant cortical regions preferentially projected to within the hippocampus.

This revealed that the posterior hippocampus has multiple connections with the primary and early visual cortex and the medial parietal cortex, and this connectivity gradually decreases towards the head of the hippocampus. By contrast, the anterior hippocampus was more strongly linked to the temporal pole and lateral temporal cortex, with only a small number of nerve fibres from these cortical areas projecting to the hippocampal tail. Some regions in the hippocampus received inputs from multiple cortical areas. This is in keeping with other models which also show discrete areas of connectivity between the hippocampus and specific brain areas, and other cortical connections which gradually change in density further along the anterior-posterior axis (Strange et al., 2014; Figure 1).

Schematic of how the hippocampus connects to different parts of the cortex along its anterior-posterior axis.

Dalton et al. studied how the hippocampus, a cylinder-like structure in both hemispheres of the brain (left, viewed from below), connects to other parts of the cortex: the left hippocampus (outlined in black) and the brain regions surrounding it are shown on the right-hand side. It is well established that parts of the hippocampal transverse axis – which extends from the middle (medial) to the edge (lateral) of the brain – are connected to nearby parts of the cortex involved in cognition. However, Dalton et al. found that more distant cortical regions also anatomically connect to distinct regions along the long axis of the hippocampus, which spans from the anterior to posterior of the brain: nerve fibres in the occipital and medial parietal cortex (regions highlighted in pink) primarily project to the medial side of the posterior hippocampus, whereas the temporal pole and lateral temporal cortex (highlighted in blue) are more strongly linked to the lateral side of the anterior hippocampus. The density of these connections then gradually changes from the head to the tail of the hippocampus. There are also discrete areas of high connectivity which are not shown in the figure.

Image credit: Ramón Ruiz-Alba, Genco Pura Studio (CC BY 4.0)

Dalton et al. found that the connection between the hippocampus and the visual system is much stronger in humans than in rodents (the species from which most insights about the anterior-posterior axis have derived). Emerging evidence suggests that, in primates, the homologues of neuronal activity related to spatial self-location in rodents (e.g. place or grid cell activity) may in fact be view or grid-like responses to visual space (Nau et al., 2018; Rolls and Wirth, 2018). Thus, the finding of Dalton et al. that the human visual cortex and hippocampus are more strongly connected than has been appreciated in rodents is an important discovery. Furthermore, connections with the early visual cortex were higher in the posterior hippocampus, a section which, in primates, is thought to have a more prominent role in spatial navigation than the anterior portion. As certain regions in the early visual cortex receive inputs from particular parts of the retina, the findings from Dalton et al. raise the intriguing question of whether this ‘retinotopic’ information is also relayed to the posterior hippocampus.

As with all studies, there are some limitations. For instance, it is possible that the connections between the hippocampus and the visual areas which Dalton et al. report are, at least in part, a fusion of fibres within a well-known tract that links the visual cortex to a structure very close to the body and tail of the hippocampus. Furthermore, some of the results of Dalton et al. differ from non-human primate studies (Insausti and Muñoz, 2001), which could be due to limitations of non-invasive neuronal tracing methods in humans, rather than legitimate differences between species.

Dalton et al. also found that the density of neuron ‘ends’ varied across the transverse axis of the hippocampus. For instance, nerve fibres projecting from the visual and parietal cortex (which process visual and sensory information, respectively) seemed to mostly terminate on the medial region of the posterior hippocampus; whereas, neurons in the temporal lobe (which processes semantic information) tended to connect to the lateral side of the anterior hippocampus. However, it is unclear why this might be and how it impacts cognitive functions – although some clues may emerge from our understanding of the hippocampal transverse axis. It will be important to determine how the hippocampus integrates information from these various cortical areas during cognitive processes, like recalling a memory, given that they project to different places.

Another surprising finding of this study is the relatively low connectivity between the anterior portion of the hippocampus and the medial prefrontal cortex, as this connection is important for a number of brain functions (Barnett et al., 2021), such as forming integrated memories from overlapping experiences (Zeithamova et al., 2012). However, Dalton et al. mention that there is evidence to suggest that the number of nerve fibres directly projecting between the prefrontal cortex and hippocampus is quite sparse in the human brain. Nevertheless, this raises a more fundamental question regarding the extent that anatomically observed connections reflect functional relationships between regions, and whether even a small number of neurons can strongly couple parts of the brain together. Future work using the imaging method adopted by Dalton et al. will be important for answering this question.


    1. Marr D
    (1971) Simple memory: a theory for archicortex
    Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 262:23–81.

Article and author information

Author details

  1. Bryan A Strange

    Bryan A Strange is in the Laboratory for Clinical Neuroscience, Center for Biomedical Technology, University Politécnica de Madrid, Madrid, Spain, and Reina Sofia Centre for Alzheimer's Research, Madrid, Spain

    For correspondence
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6476-4091

Publication history

  1. Version of Record published: November 8, 2022 (version 1)


© 2022, Strange

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.


  • 777
    Page views
  • 92
  • 0

Article citation count generated by polling the highest count across the following sources: Crossref, PubMed Central, Scopus.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Bryan A Strange
Hippocampus: Connecting to the long axis
eLife 11:e83718.

Further reading

    1. Neuroscience
    Saige Rutherford, Pieter Barkema ... Andre F Marquand
    Research Advance Updated

    In this work, we expand the normative model repository introduced in Rutherford et al., 2022a to include normative models charting lifespan trajectories of structural surface area and brain functional connectivity, measured using two unique resting-state network atlases (Yeo-17 and Smith-10), and an updated online platform for transferring these models to new data sources. We showcase the value of these models with a head-to-head comparison between the features output by normative modeling and raw data features in several benchmarking tasks: mass univariate group difference testing (schizophrenia versus control), classification (schizophrenia versus control), and regression (predicting general cognitive ability). Across all benchmarks, we show the advantage of using normative modeling features, with the strongest statistically significant results demonstrated in the group difference testing and classification tasks. We intend for these accessible resources to facilitate the wider adoption of normative modeling across the neuroimaging community.

    1. Neuroscience
    Marcia Bécu, Denis Sheynikhovich ... Angelo Arleo
    Research Article Updated

    Human spatial cognition has been mainly characterized in terms of egocentric (body-centered) and allocentric (world-centered) wayfinding bhavior. It was hypothesized that allocentric spatial coding, as a special high-level cognitive ability, develops later and deteriorates earlier than the egocentric one throughout lifetime. We challenged this hypothesis by testing the use of landmarks versus geometric cues in a cohort of 96 deeply phenotyped participants, who physically navigated an equiangular Y maze, surrounded by landmarks or an anisotropic one. The results show that an apparent allocentric deficit in children and aged navigators is caused specifically by difficulties in using landmarks for navigation while introducing a geometric polarization of space made these participants as efficient allocentric navigators as young adults. This finding suggests that allocentric behavior relies on two dissociable sensory processing systems that are differentially affected by human aging. Whereas landmark processing follows an inverted-U dependence on age, spatial geometry processing is conserved, highlighting its potential in improving navigation performance across the lifespan.