Mapping sequence structure in the human lateral entorhinal cortex
- Max Planck Institute for Human Cognitive and Brain Sciences, Germany
- Norwegian University of Science and Technology, Norway
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Netherlands
- Ruhr University Bochum, Germany
Figures
Figure 1 with 2 supplements
Design and analysis logic.
(A) During the spatio-temporal learning task, which took place in between two identical runs of a picture viewing task (Figure 1—figure supplement 1), participants repeatedly navigated a fixed route …
Figure 1—figure supplement 1
Overview of experimental design.
Participants viewed object images in random order while undergoing fMRI before and after learning the temporal and spatial relationships between these objects. The order and timing of picture …
Figure 1—figure supplement 2
Temporal distances are not correlated with Euclidean or geodesic spatial distances.
(A) Pairwise temporal and Euclidean spatial distances between objects are uncorrelated (Pearson r = −0.068; bootstrapped 95% confidence interval: −0.24, 0.12; p=0.462). Median times elapsed between …
Figure 2 with 4 supplements
Temporal mapping in alEC.
(A) Entorhinal cortex subregion masks from Navarro Schröder et al. (2015) were moved into subject-space and intersected with participant-specific Freesurfer parcellations of entorhinal cortex. Color …
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Figure 2—source data 1
Z-values of correlations between pattern similarity change in the entorhinal subregions and temporal and Euclidean spatial distances as shown in panel B.
- https://doi.org/10.7554/eLife.45333.010
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Figure 2—source data 2
Pattern similarity changes in alEC for object pairs separated by low and high temporal distances as shown in panel C.
- https://doi.org/10.7554/eLife.45333.011
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Figure 2—source data 3
Z-values of correlations between alEC pattern similarity change and temporal distances without comparisons of objects encountered in direct succession along the route and Pearson correlation coefficients quantifying temporal clustering during the free recall task (panel D).
- https://doi.org/10.7554/eLife.45333.012
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Figure 2—source data 4
Z-value differences quantifying the difference in temporal and spatial mapping in alEC and pmEC as shown in panel E.
- https://doi.org/10.7554/eLife.45333.013
Figure 2—figure supplement 1
Entorhinal pattern similarity change reflects temporal structure beyond direct adjacency and stimulus presentation times from the pre-learning scan.
(A) To rule out that the effect was driven by objects at temporally adjacent positions along the route we excluded these comparisons from the analysis. The effect of temporal mapping in the alEC …
Figure 2—figure supplement 2
Geodesic spatial distances do not correlate with entorhinal pattern similarity change.
(A, B) Two-way repeated measures ANOVAs with the factors entorhinal subregion and distance type (elapsed time and geodesic spatial distances) yielded comparable results to analyses based on …
Figure 2—figure supplement 3
Signal-to-noise ratio in the entorhinal cortex.
(A) The temporal signal-to-noise ratio did not differ between the entorhinal subregions. (B) Similarly, the spatial signal-to-noise ratio did not differ between entorhinal subregions. Bars show mean …
Figure 2—figure supplement 4
No evidence for reactivation of object representations in the entorhinal cortex.
(A) Group-level visualization of the region of interest used for the lateral occipital cortex (LOC). (B) Classification accuracies observed when testing the classifier trained on the pre-learning …
Figure 3
Reconstructing the timeline of events from entorhinal pattern similarity change.
(A) To recover the temporal structure of events we performed multidimensional scaling on the average pattern similarity change matrix in alEC. The resulting coordinates, one for each object along …
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Figure 3—source data 1
True and reconstructed temporal coordinates of object positions as shown in panel B.
- https://doi.org/10.7554/eLife.45333.015
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Figure 3—source data 2
Procrustes distance from mapping coordinates from multidimensional scaling based on alEC pattern similarity change to true temporal coordinates and surrogate distribution obtained from fitting to shuffled temporal coordinates (panel D).
- https://doi.org/10.7554/eLife.45333.016
Figure 4
Ordinal temporal distances correlate with pattern similarity change in alEC.
Repeating the two-way repeated measures ANOVA using ordinal distances as the measure of sequence structure yielded results comparable to the analyses presented in Figure 2. We observed a significant …
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Figure 4—source data 1
Z-values of correlations between pattern similarity change in the entorhinal subregions and ordinal temporal and Euclidean spatial distances.
- https://doi.org/10.7554/eLife.45333.018
Additional files
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Transparent reporting form
- https://doi.org/10.7554/eLife.45333.019
