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Updated: Mar 15, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
Local morphology informs location of activation during navigation within the parahippocampal region of the human
S C Huntgeburth1,2, J-K Chen3, A Ptito3,4,5
1Cognitive Neuroscience Unit, Montreal Neurological Institute and Hospital, McGill University, 3801 University St., Montreal, QC, H3A 2B4, Canada. sonja.huntgeburth@mail.mcgill.ca.
Abstract:
The relationship between the local morphological features that define the entorhinal and parahippocampal cortex in the medial temporal region of the human brain and activation as measured during a navigation task with functional magnetic resonance imaging was examined individually in healthy participants. Two functional activation clusters were identified one within the caudal end of the collateral sulcus proper and the other in the parahippocampal extension of the collateral sulcus, clearly establishing the activation in the posterior parahippocampal cortex. A third activation cluster was identified where the anterior segment of the collateral sulcus proper gives way to the posterior segment, demonstrating also activation within the middle parahippocampal cortex. No activation was observed in the entorhinal cortex that lies medial to the rhinal sulcus or in the anterior part of the parahippocampal cortex along the anterior branch of the collateral sulcus proper. The activations could also be clearly differentiated from the cortex of the fusiform and lingual gyri that lie laterally and posteriorly. These findings demonstrated specific activation in the middle and posterior part of the parahippocampal cortex when information necessary for navigation was retrieved from a previously established cognitive map and demonstrate that the sulci that comprise the collateral sulcal complex represent important landmarks that can provide an accurate localization of activation foci along the parahippocampal cortex and allow identification of subdivisions involved in the processing of spatial information.
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