Laminar fMRI: applications for cognitive neuroscience

Lawrence, S. J.D., Formisano, E., Muckli, L. and de Lange, F. P. (2019) Laminar fMRI: applications for cognitive neuroscience. NeuroImage, 197, pp. 785-791. (doi: 10.1016/j.neuroimage.2017.07.004) (PMID:28687519)

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The cortex is a massively recurrent network, characterized by feedforward and feedback connections between brain areas as well as lateral connections within an area. Feedforward, horizontal and feedback responses largely activate separate layers of a cortical unit, meaning they can be dissociated by lamina-resolved neurophysiological techniques. Such techniques are invasive and are therefore rarely used in humans. However, recent developments in high spatial resolution fMRI allow for non-invasive, in vivo measurements of brain responses specific to separate cortical layers. This provides an important opportunity to dissociate between feedforward and feedback brain responses, and investigate communication between brain areas at a more fine- grained level than previously possible in the human species. In this review, we highlight recent studies that successfully used laminar fMRI to isolate layer-specific feedback responses in human sensory cortex. In addition, we review several areas of cognitive neuroscience that stand to benefit from this new technological development, highlighting contemporary hypotheses that yield testable predictions for laminar fMRI. We hope to encourage researchers with the opportunity to embrace this development in fMRI research, as we expect that many future advancements in our current understanding of human brain function will be gained from measuring lamina-specific brain responses.

Item Type:Articles
Additional Information:This work was supported by The Netherlands Organisation for Scientific Research (NWO Vidi grant 452-13-016) and the EC Horizon 2020 Program (ERC starting grant 678286, ‘Contextvision’), both awarded to FPdL.
Keywords:Bottom-up, cortical layers, feedback, feedforward, laminar fMRI, top-down, visual cortex.
Glasgow Author(s) Enlighten ID:Muckli, Professor Lars
Authors: Lawrence, S. J.D., Formisano, E., Muckli, L., and de Lange, F. P.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
Journal Name:NeuroImage
ISSN (Online):1095-9572
Published Online:04 July 2017
Copyright Holders:Copyright © 2017 Elsevier Inc.
First Published:First published in NeuroImage 197: 785-791
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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