Marshall Axel Dalton1, Arkiev D'Souza2, Jinglei Lv1, and Fernando Calamante3
1School of Biomedical Engineering, Faculty of Engineering, University of Sydney, Sydney, Australia, Sydney, Australia, 2DVC Research, Brain and Mind Centre, University of Sydney, Sydney, Australia, Sydney, Australia, 3Sydney Imaging, University of Sydney, Sydney, Australia, Sydney, Australia
Synopsis
The
hippocampus is a brain structure central to a broad range of cognitive
functions including episodic memory but we know surprisingly little about how different
parts of the human hippocampus anatomically connect with cortical regions to
support key functions such as memory. We combined high-quality data from the
Human Connectome Project with cutting-edge fibre-tracking methods to quantitatively
characterise structural connectivity (SC) between the anterior/middle/posterior
portions of the hippocampus and whole brain. We also mapped the distribution of
endpoints within the hippocampus for streamlines connecting from cortical
regions. Our results provide key contributions to ongoing efforts to
characterise human hippocampal SC.
Introduction
The
hippocampus is a brain structure that is central to a broad range of cognitive
functions including episodic memory1. It is well-known that the
primary anatomical input into the hippocampus is via the entorhinal cortex.
However, tract-tracing data from rodent and non-human primate studies has shown
that specific cortical brain regions bypass this canonical hippocampal pathway
and directly target specific subregions within the hippocampus2,3.
In addition, these direct pathways show gradients of connectivity along its anterior-posterior
axis3, which suggests that different portions of the hippocampus have
unique patterns of structural connectivity (SC) with cortical regions.
We
currently lack a detailed understanding of how different parts of the human
hippocampus anatomically connect with cortical regions to support key functions
such as memory. Due largely to the technical difficulties inherent to
investigating SC of the human hippocampus, only a small number of studies have attempted
to characterise the SC of the hippocampus with the whole brain4, and,
to our knowledge, there has been no systematic examination of SC patterns along
its anterior-posterior axis.
We
combined high quality data from the Human Connectome Project (HCP) with
cutting-edge fibre-tracking methods5 with three primary aims: to
quantitatively characterise SC between whole hippocampus and whole brain (Aim
1); between anterior/middle/posterior portions of the hippocampus and whole
brain (Aim 2); and to map the distribution of endpoints within the
hippocampus for streamlines connecting from cortical regions (Aim 3). Methods
Ten
subjects were selected from the HCP 100 unrelated subject database6.
The image processing pipeline based on MRtrix3 is summarised in figure 1A.
Diffusion pre-processing steps have been described elsewhere7. 70M
tracks were generated across the entire brain using dynamic seeding. The
hippocampus was manually segmented for each participant on the T1 image. The
segmentation was labelled as ‘5th tissue type’ on a modified-5TT image (figure
1B) to allow streamlines to enter the hippocampus rather than terminate at the
grey matter/white matter border8. Fibre-orientation distribution (FOD)
data were used with the modified-5TT image to generate an additional 10M tracks
seeding from the hippocampus. The 70M whole-brain tracks and 10M hippocampus
tracks were combined and SIFT2 was done on the 80M track file9. Tracks
(and SIFT2 weights) which had an endpoint in the hippocampus were isolated. A
connectome was generated using tracks and weights from the hippocampus and a
modified Glasser parcellation10 which contained the participant
specific manually segmented hippocampus mask (figure 1C) in place of the
automated hippocampus parcel. For the regional analysis, the manually segmented
hippocampus mask was divided into anterior, middle and posterior portions using
previously described methods11 (figure 1D). Each region was added to
the parcellation file as its own unique parcel.Results
Aim 1: As predicted, medial temporal lobe (MTL;
including entorhinal cortex) and subcortical structures accounted for most
streamlines entering the hippocampus (62% of all streamlines). Occipital
regions accounted for 15%, non-MTL temporal regions for 11%, and parietal
regions for 10% of all streamlines, respectively. We observed comparatively
fewer connections between the hippocampus and frontal, insula and
somatosensory/motor regions. Figure 2A presents the top 20 non-MTL cortical
brain regions connecting with the whole hippocampus. Aim 2: We
observed striking differences in SC patterns between anterior/middle/posterior
hippocampus and cortical regions. For example, the anterior 2/3 of the
hippocampus showed preferential connectivity with specific brain regions in the
temporal lobe. In contrast, the posterior hippocampus showed preferential
connectivity with specific brain regions in the occipital and medial-parietal
lobes (Figure 2B). Aim 3: Our method allowed us to visualise
streamlines between the hippocampus and each cortical region (e.g. left V1 in Figure
3) and, for the first time, the location of streamline endpoints within the
hippocampus. For specific cortical ROIs (e.g. left retrosplenial cortex in Figure 4), we observed clusters of endpoints
localised to circumscribed regions within the hippocampus .Discussion
SC
patterns generally aligned with predictions based on observations from the
non-human primate literature. Medial parietal regions showed preferential
connectivity with posterior hippocampus while temporal regions showed denser
patterns of connectivity with anterior hippocampus. Our results suggest,
however, that the human hippocampus may have denser patterns of SC with
occipital brain regions than would be expected from non-human primate
literature. We found strong patterns of SC between the posterior hippocampus
and specific occipital brain regions associated with aspects of visual
processing. This observation has implications for theories of human hippocampal
function along its anterior-posterior axis12,13 and support
proposals that the posterior hippocampus may have a preferential role in
elements of visual perception14. Furthermore, our novel method of
characterising where within the hippocampus streamlines terminate identified
that brain regions implicated in elements of visuo-spatial processing appear to
preferentially ‘target’ portions of the medial hippocampus. This observation
supports recent proposals that the medial hippocampus is an important hub for
aspects of visuospatial cognition15. Conclusion
Detailed
maps of hippocampal SC will help develop more detailed and integrated models of
human memory and its biological basis. Overall, our results contribute to
ongoing efforts to characterise human hippocampal SC, with implications for
understanding human hippocampal function in health and dysfunction in disease.Acknowledgements
No acknowledgement found.References
1. Maguire EA, Mullally SL. The hippocampus: a
manifesto for change. J Exp Psychol Gen. 2013;142(4):1180-9.
2. Kobayashi Y, Amaral DG. Macaque monkey
retrosplenial cortex: III. Cortical efferents. J. Comp. Neurol. 2007;502:810-833.
3. Insausti R, Muñoz M. Cortical projections of
the non-entorhinal hippocampal formation in the cynomolgus monkey (Macaca
fascicularis) Eur. J. Neurosci. 2001;14:435-451.
4. Maller JJ, Welton T, Middione M, et al.
Revealing the Hippocampal Connectome through Super-Resolution 1150-Direction
Diffusion MRI. Sci Rep. 2019;9:2418.
5. Tournier JD, Smith RE, Raffelt D, et al. MRtrix3:
A fast, flexible and open software framework for medical image processing and
visualisation. NeuroImage. 2019;202:116–37.
6. https://db.humanconnectome.org/app/template/SubjectDashboard.vm?project=HCP_1200&subjectGroupName=100%20Unrelated%20Subjects
7. Civier O, Smith RE, Yeh CH, et al. Is removal
of weak connections necessary for graph-theoretical analysis of dense weighted
structural connectomes from diffusion MRI? NeuroImage. 2019;194:68-81.
8. Smith RE, Tournier JD, Calamante F, et al.
Anatomically-constrained tractography: improved diffusion MRI streamlines
tractography through effective use of anatomical information. NeuroImage. 2012;62:1924–1938.
9. Smith RE, Tournier JD, Calamante F, et al.
SIFT2: Enabling dense quantitative assessment of brain white matter
connectivity using streamlines tractography. NeuroImage. 2015;119:338-51.
10. Glasser MF, Coalson TS, Robinson EC, et al. A
multi-modal parcellation of human cerebral cortex. Nature. 2016;536:171–178.
11. Bernasconi N, Bernasconi A, Caramanos Z, et
al. Mesial temporal damage in temporal lobe epilepsy: a volumetric MRI study of
the hippocampus, amygdala and parahippocampal region, Brain. 2003;126(2):462–469.
12. Strange BA, Witter MP, Lein ES, et al.
Functional organization of the hippocampal longitudinal axis. Nat. Rev.
Neurosci. 2014;15:655-669.
13. Poppenk J, Evensmoen HR, Moscovitch M, et al.
Long-axis specialization of the human hippocampus. Trends Cognit. Sci. 2013;17:230-240.
14. Zeidman P, Mullally S, Maguire EA.
Constructing, perceiving, and maintaining scenes: hippocampal activity and
connectivity. Cereb Cortex. 2015;25:3836–3855.
15. Dalton MA, Maguire EA. The pre/parasubiculum:
a hippocampal hub for scene-based cognition? Curr Opin Behav Sci. 2017;17:34-40.