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Proposal for human visual pathway in the extrastriate cortex by fiber tracking method using diffusion-weighted MRI.

Authors :
Choi SH
Jeong G
Kim YB
Cho ZH
Source :
NeuroImage [Neuroimage] 2020 Oct 15; Vol. 220, pp. 117145. Date of Electronic Publication: 2020 Jul 08.
Publication Year :
2020

Abstract

The extrastriate cortex in the human visual cortex is divided into two distinct clusters: the "what-information" processing area and the "where-information" processing area. It is widely accepted that the "what-information" cluster is processed through the ventral stream to the temporal cortex, and the "where-information" cluster through the dorsal stream to the parietal cortex. In human neuroanatomy, fiber bundles for the ventral stream (such as the inferior longitudinal fasciculus) are well defined, whereas fibers for the dorsal stream are poorly understood. In this study, we attempted to trace the dorsal stream fibers using a fiber tracking method using 7.0T diffusion-weighted MRI. We used data from a healthy male subject as well as from an unbiasedly selected nine-subject dataset in the Human Connectome Project. The surface of the visual area, including V1, V2, V3, V4, MT, was determined from the Brainnetome atlas (Fan et al., 2016), which is the connectivity-based parcellation framework of the human brain. The resulting visual pathway indicated that the putative pathway for the classical dorsal stream is unlikely to exist. Instead, we demonstrated that fiber connections exist between the angular gyrus with MT in the visual cortex, and between the angular gyrus and IT in the temporal cortex. Through that, we composed a two-pathway model for where-information processing that passes through the angular gyrus. Finally, we proposed a modified human visual pathway model based on our fiber tracking results in this report. The modified where-information pathway will provide a new aspect for the study of human visual processing.<br />Competing Interests: Declaration of competing interest The authors declare that they have no conflict of interest.<br /> (Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1095-9572
Volume :
220
Database :
MEDLINE
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
32650055
Full Text :
https://doi.org/10.1016/j.neuroimage.2020.117145