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Title: A structural connectivity convergence zone in theventral and anterior temporal lobes : data-drivenevidence from structural imaging
Authors: Bajada, Claude J.
Trujillo-Barreto, Nelson J.
Parker, Geoffrey J. M.
Cloutman, Lauren L.
Lambon Ralph, Matthew A.
Keywords: Brain mapping
Neural transmission
Semantic memory
Issue Date: 2019
Publisher: Elsevier Ltd.
Citation: Bajada, C. J., Trujillo-Barreto, N. J., Parker, G. J., Cloutman, L. L., & Ralph, M. A. L. (2019). A structural connectivity convergence zone in the ventral and anterior temporal lobes: data-driven evidence from structural imaging. Cortex, 120, 298-307.
Abstract: The hub-and-spoke model of semantic cognition seeks to reconcile embodied views of a fully distributed semantic network with patient evidence, primarily from semantic dementia, who demonstrate modality-independent conceptual deficits associated with atrophy centred on the ventrolateral anterior temporal lobe. The proponents of this model have recently suggested that the temporal cortex is a graded representational space where concepts become less linked to a specific modality as they are processed farther away from primary and secondary sensory cortices and towards the ventral anterior temporal lobe. To explore whether there is evidence that the connectivity patterns of the temporal lobe converge in its ventral anterior end the current study uses three dimensional Laplacian eigenmapping, a technique that allows visualisation of similarity in a low dimensional space. In this space similarity is encoded in terms of distances between data points. We found that the ventral and anterior temporal lobe is in a unique position of being at the centre of mass of the data pointswithin the connective similarity space. This can be interpreted as the area where the connectivity profiles of all other temporal cortex voxels converge. This study is the first to explicitly investigate the pattern of connectivity and thus provides the missing link in the evidence that the ventral anterior temporal lobe can be considered a multi-modal graded hub.
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